Showing posts with label Silicon Valley. Show all posts
Showing posts with label Silicon Valley. Show all posts

Sunday, June 17, 2018

Tintri teeters at edge on insolvency, less than 1 year after IPO

Less than one year after completing its IPO, Tintri (NASDAQ: TNTR), which specializes in enterprise cloud platforms, reported that it is currently in breach of certain covenants under its credit facilities and likely does not have sufficient liquidity to continue its operations beyond June 30, 2018.

The company said it continues to evaluate its strategic options, including a sale of the company.

Q1 revenue is expected to be approximately $22 million and GAAP net loss per share is expected to be approximately ($1.14) for its fiscal quarter ended on April 30, 2018.

The closing bid price of the company’s common stock on the Nasdaq Stock Market has been less than $1.00 per share since May 22, 2018.

Tintri warned that even if it able to secure a strategic transaction before the end of the month, there is a significant possibility that the company may file for bankruptcy protection, which could result in a complete loss of shareholders’ investment.

Tintri offers Lego-like Enterprise Cloud Amidst Fierce Competition


Tintri, a networking start-up from Silicon Valley, made its initial public offering (IPO) on June 30,2017 and its shares are now trading on NASDAQ under the symbol 'TNTR'. The IPO raised approximately $60 million for the Mountain View, California-based company – a lukewarm Wall Street response considering earlier speculation that the shares might debut in the range of $10.50 to $12.50. Many expected the IPO to occur at the start of last week and at the higher price range. It was not clear why the IPO was delayed by a few days, but the lower price must have caused consternation for early investors and employees. Post IPO, Tintri, which means 'lightning' in the Irish language, currently has a market capitalisation value of about $225 million.

Tintri was founded in 2008 by Kieran Hearty, who had previously led engineering at VMware, and Mark Grittier, who had previously worked on software engineering at Sun Microsystems. The first products were introduced nearly 3 years later in March 2011. In August 2015, Tintri raised a $125 million Series F funding round led by Silver Lake Craftwork and included existing investors Insight Venture Partners, Light speed Ventures, Menlo Ventures and NEA. In December 2016, Charles Giancarlo, the former CTO of Cisco Systems, joined the Tintri board.
Tintri prides itself of having developed an enterprise cloud platform with a 'Lego-like' design that allows for every storage action at the individual virtual machine level. The value proposition is simple: scale the enterprise cloud from terabytes of storage to multiple petabytes as efficiently as possible. The Tintri CONNECT web services architecture use the 'Lego' building-block approach predicated on REST APIs and VM and container level abstraction. The frameworks runs applications on resource pools that span VMware, Citrix,Microsoft and OpenStack. This supports a DevOps model, where resource can be spun up or torn down on-demand, including via automated bots or modern interfaces such as Slack or Amazon's Alexa. To deliver this, Tintri's platform integrates cloud management software, web services and a range of all-flash storage systems.

A key ingredient is a virtualisation-aware file system that allows an organisation to view, manage and analyse application performance and quality of service. In a sense, it enables a private version of a public cloud. Use cases include server virtualisation, virtual desktop infrastructure, or VDI, disaster recovery and data protection, and development operations, or DevOps. Tintri says it has an advantage because innovation in storage has lagged and lacked granular level operation at the VM and container level.

Wave Computing acquires MIPS Technologies

Wave Computing, a start-up based in Campbell, California that is focused on artificial intelligence (AI) and deep learning, has acquired MIPS Tech, Inc. (formerly MIPS Technologies). Financial terms were not disclosed.

MIPS, which was founded in 1984 by a group of researchers from Stanford University that included John L. Hennessy, in known as a pioneer RISC processor Intellectual Property (IP) and licensable CPU cores. MIPS holds over 350 worldwide patents and currently has over 200 licensees.

MIPS will operate as an IP business unit within Wave and will continue to license MIPS IP solutions that can now integrate Wave’s dataflow technology.

Wave said the acquisition expands its strategy of offering AI acceleration from the Datacenter to the Edge of Cloud by extending the company’s products beyond AI systems to now also include AI-enabled embedded solutions.

Dado Banatao, Chairman of Wave Computing and MIPS Technologies, said, “Now is the right time for Wave Computing to expand, and I am pleased to see the company further evolve and grow into an AI powerhouse. Wave’s integration of two industry-leading compute architectures in a single data plane/control plane solution – Dataflow and Von Neumann – will be truly unique and an industry-first. It will fuel new, ground-breaking innovations in AI and other fields.”

“This is a major milestone not only in the history of our two companies, but also for the AI compute industry,” said Derek Meyer, CEO of Wave Computing. “With working DPU commercial silicon and being in the final stages of bringing our first AI systems to market, now is the time for us to expand to the Edge of Cloud. The acquisition of MIPS allows us to combine technologies to create products that will deliver a single ‘Datacenter-to-Edge’ platform ideal for AI and deep learning. We’ve already received very strong and enthusiastic support from leading suppliers and strategic partners, as they affirm the value of data scientists being able to experiment, develop, test and deploy their neural networks on a common platform spanning to the Edge of Cloud.”

Alexander Stojanovic, Vice President of Machine Learning and Applied Research at eBay, said, “For AI-driven Datacenters, leveraging purpose-built platforms for high throughput and low latency workloads is a game changer. They offer the promise of faster time-to-revenue and greater competitive differentiation using some of the latest AI trends such as GAN and attention-based models for time series and natural language data. Combined with the ability to more quickly create deeper and more complex machine learning models, hyperscale- and enterprise-class companies will be able to better leverage AI as a fundamental part of their digital strategies.”





Wednesday, June 6, 2018

Avi pulls in $60 million including an investment from Cisco

Avi Networks, a start-up based in Santa Clara, California, announced $60 million in new funding including investments from Cisco Investments along with DAG Ventures, Greylock Partners, Lightspeed Venture Partners, and Menlo Ventures.

Cisco resells the Avi Vantage Platform in markets around the world, and Avi closely integrates with Cisco ACI, Cisco’s intent-based networking and automation solution for the data center.

Avi Networks offers an application delivery controller (ADC) with a Software Load Balancer, an Intelligent Web Application Firewall, and an Elastic Service Mesh for container-based applications. The company says that as businesses shift their operations to clouds such as Azure and AWS, its intent-based software offers easier management, faster performance, greater elasticity, deeper analytics, and more powerful automation than legacy ADC vendors.

Avi also reports that it has tripled its bookings over the past year, with significant adoption by the Global 2000 and 20% of the Fortune 50.

This latest round brings Avi’s total funding to $115 million.

“Modern applications are driving a new urgency with which enterprises are automating their networks and application delivery systems,” said Amit Pandey, CEO of Avi Networks. “Cisco software and infrastructure are a cornerstone in this transformation. I am thrilled about this strategic investment from Cisco and our continued joint efforts to deliver the elasticity, intelligence, and multi-cloud capabilities that enterprises need.”


  • Avi Networks is headed by Amit Pandey, who joined the company as CEO in 2015. Previously, Pandey spent nearly a decade at NetApp in a wide range of executive positions, and followed that with two successful stints at startups - first as CEO of TerraCotta that was acquired by the European software giant, Software AG and next as CEO of Zenprise that was acquired by Citrix.
  • Avi Networks was co-founded in November 2012 by Umesh Mahajan, who previously was VP/GM of Data Center Switching at Cisco; Murali Basavaiah, who previously was VP Engineering at Cisco for NX-OS Software and Nexus 7000/MDS product; and Ranga Rajagopalan, who previously was Sr. Director of Engineering at Cisco and responsible for NX-OS systems/platform software for the Cisco Nexus 7000.

Thursday, May 17, 2018

Google Cloud acquires Cask for big data ingestion on-ramp

Google Cloud will acquire Cask Data Inc., a start-up based in Palo Alto, California, that offers a big data platform for enterprises. Financial terms were not disclosed.

The open source Cask Data Application Platform (CDAP) provides a data ingestion service that simplifies and automates the task of building, running, and managing data pipelines. Cask says it cuts down the time to production for data applications and data lakes by 80%. The idea is to provide a standardization and simplification layer that allows data portability across diverse environments, usability across diverse groups of users, and the security and governance needed in the enterprise.

Google said it plans to continue to develop and release new versions of the open source Cask Data Application Platform (CDAP).
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“We’re thrilled to welcome the talented Cask team to Google Cloud, and are excited to work together to help make developers more productive with our data processing services both in the cloud and on-premise. We are committed to open source, and look forward to driving the CDAP project’s growth within the broader developer community,” stated William Vambenepe, Group Product Manager, Google Cloud

Over the past 6+ years, we have invested heavily in the open source CDAP available today and have deployed our technology with some of the largest enterprises in the world. We accomplished great things as a team, had tons of fun and learned so much over the years. We are extremely proud of what we’ve achieved with CDAP to date, and couldn’t be more excited about its future.

Cask was founded by Jonathan Gray and Nitin Motgi.


Tachyum announces its Universal Processor Platform

Tachyum, a start-up based in San Jose, California with offices in Slovakia, unveiled its new processor family – codenamed “Prodigy” – that combines the advantages of CPUs with GP-GPUs, and specialized AI chips in a single universal processor platform. The company says its processor architecture attains ten times the processing power per watt compared to conventional designs.

A key innovation of the design is the ability to connect very fast transistor with very slow wires, but technical details on the device physics have not yet been disclosed.

The universal processor promises programming ease comparable to a CPU with performance and efficiency comparable to GP-GPU. It is designed to handle hyperscale workloads, AI, HPC, and other demanding applications

Tachyum claims its Prodigy universal processor will enable a super-computational system for real-time full capacity human brain neural network simulation by 2020. One target application would be the real-time Human Brain Project, where there’s a need for more than 1019 Flops (10,000,000,000,000,000,000 floating-point operations per second - 10 exaflop).

“Rather than build separate infrastructures for AI, HPC and conventional compute, the Prodigy chip will deliver all within one unified simplified environment, so for example AI or HPC algorithms can run while a machine is otherwise idle or underutilized,” said Tachyum CEO Dr. Radoslav ‘Rado’ Danilak. “Instead of supercomputers with a price tag in the hundreds of millions, Tachyum will make it possible to empower hyperscale datacenters to produce more work in a radically more efficient and powerful format, at a lower cost.”

“Despite efficiency gains from virtualization, cloud computing, and parallelism, there are still critical problems with datacenter resource utilization particularly at a size and scale of hundreds of thousands of servers,” said Christos Kozyrakis, professor of electrical engineering and computer science at Stanford, who leads the university’s Multiscale Architecture & Systems Team (MAST), a research group for cloud computing, energy-efficient hardware, and operating systems. “Tachyum’s breakthrough processor architecture will deliver unprecedented performance and productivity.” Kozyrakis is a corporate advisor to Tachyum.

http://tachyum.com


  • Tachyum is headed by Dr. Radoslav ‘Rado’ Danilak, who previously was founder and CEO of Skyera, a supplier of ultra-dense solid-state storage systems, acquired by WD in 2014. He also was cofounder and CTO of SandForce, which was acquired by LSI in 2011 for $377M. Its cofounders include Rodney Mullendore (previously Sandforce, Nishan Systems, Sandia National Labs); Igor Shevlyakov (previously Skyera); Ken Wagner (previously Wave Computing, Silicon Analystics and Theseus Logic).
  • Tachyum is funded by IPM Growth, the venture capital division of InfraPartners Management LLP.

Monday, May 7, 2018

Nokia acquires SpaceTime for IoT software

Nokia has acquired SpaceTime Insight, a start-up based in San Mateo, California with offices in Canada, UK, India, and Japan, specializing in IoT analytics. Financial terms were not disclosed.

SpaceTime Insight provides machine learning-powered analytics and IoT applications. Its machine learning models and other advanced analytics, designed specifically for asset-intensive industries, predict asset health with a high degree of accuracy and optimize related operations. The company said customers include some of the world's largest transportation, energy and utilities organizations, including Entergy, FedEx, NextEra Energy, Singapore Power and Union Pacific Railroad.

Nokia said the acquisition expands its Internet of Things (IoT) portfolio and IoT analytics capabilities, and accelerates the development of new IoT applications for key vertical markets.

Bhaskar Gorti, president of Nokia Software, said: "Adding SpaceTime to Nokia Software is a strong step forward in our strategy, and will help us deliver a new class of intelligent solutions to meet the demands of an increasingly interconnected world. Together, we can empower customers to realize the full value of their people, processes and assets, and enable them to deliver rich, world-class digital experiences."


Wednesday, May 2, 2018

Start-up profile: TidalScale, building an inverse hypervisor for scale-up servers

TidalScale, a start-up based in Campbell, California, is on a mission to build the world's largest virtual servers based on Intel x86 commodity hardware.

The company's "inverse" hypervisor combines multiple physical servers (including their associated CPUs, memory storage and network) into one or more large software-defined virtual servers. This is the inverse equivalent of VMware because a rack of physical servers are virtualized as though it were one. The concept is to scale-up a virtual server instance to handle Big Data workloads without making changes to applications or operating systems.

Why use another hypervisor to create a bigger server? Doesn’t Moore’s Law already deliver more powerful processors over time? And why not just provision a large number of individual servers from a Cloud IaaS vendor? The answers here would be (1) very large in-memory datasets (2) Moore’s law is not keeping pace with rising workloads demands (3) too costly and too limiting, especially since public cloud operators tend to limit the memory size of bare metal servers to 2TB and because in load balancing a workload there is a tendency to provision to more resources than necessary.

The TidalScale story

TidalScale was founded in 2012 by Dr. Ike Nassi, an Adjunct Professor of Computer Science at UC Santa Cruz, who has been involved in many tech developments including as Chief Scientist at SAP when the category of in-memory databases was established. He also was involved in 3 previous start-ups: Encore Computer, a pioneer in symmetric multiprocessors; InfoGear Technology, which developed Internet appliances and services; and Firetide, a wireless mesh networking company.

The technical team also includes Dr. David Reed as Chief Scientist, who holds many patents along with four degrees from MIT in EE and CS including his PhD. Reed's contributions to the networking field include work on the original Internet protocol design team. His architectural contributions included the UDP protocol design, the “slash” in TCP/IP, and formulation of the End-to-End Argument as its primary protocol design principle. Later, he went on to become  Chief Scientist at Lotus Development Corporation, an HO Fellow, and an SVP at SAO Reseach.

On the management side, TidalScale is headed by Gary Smerdon, who previously was the EVP & Chief Strategy Officer of Fusion-io, the devel.oper of flash-based PCIe hardware and software solutions that was ultimately acquired by SanDisk in 2014 for $1.3 billion. Before that, Smerdon was SVP and GM of the Accelerated Solutions Division at LSI, an internal startup that he founded. Smerdon also held executive positions at Greenfield Networks (acquired by Cisco), Tarari (acquired by LSI), Marvell, and AMD.

TidalScale, which first began shipping in 2016, aggregates all the resources (memory, cores, storage and bandwidth) of low-cost, high-performance, 2-socket Intel x86 servers into one or more Software Defined Servers. This accomplished by running a TidalScale HyperKernel on the physical server and a "WaveRunner" control plane and management console to orchestrate the spinning up or spinning down of virtualized servers. The HyperKernal instance on each physical server communicates with other HyperKernal over the Ethernet network, which essentially functions as a combined memory and I/O bus. Thus memory performance will be determined by the latency and throughput of the Ethernet connection. Still, for applications such as very large in-memory databases, a TidalScale software-defined server consisting of five physical nodes each with 128GB of DRAM, will be better than a single server with 128GB of DRAM if the memory required exceeds 128GB and a secondary SSD must also be employed. This is because DRAM performance is roughly 1000X that of flash memory.

Software-Defined Servers can be configured with dozens or even hundreds of processor cores, tens of terabytes of memory, and as much storage and networking I/O as needed. The configuration of servers can be automatically right-sized to the workload. TidalScale allows Docker containers and container management platforms (Kubernetes) to run on top. For instance, TidalScale could be used to deploy a single Linux instance with 15TB of DRAM and up to 400 cores by leveraging dozens of servers in a cloud data centre.

As mentioned above, TidalScale's paradigm scale-up paradigm on commodity servers should be especially relevant to in-memory databases, such as SAP HANA. The company says it can configure up to 64TB of in-memory performance on 2-socket Intel x86 servers. Currently, cloud customers can TidalScale to on standard servers available on IBM BlueMix, OrionVM’s Wholesale Cloud Platform, and Oracle Cloud Infrastructure, with virtual systems ranging from dozens to hundreds of cores and featuring up to 30TB or more of memory. Natural allies then would include any company in that database ecosystem. Because TidalScale was exhibiting at the Open Compute Project Summit, it reasonable to assume that it sees the hyperscale cloud companies also as potential customers.

TidalScale has received a number of awards, including being named a Gartner Cool Vendor, an IDC Innovator for 2017, a Red Herring Top 100 North America recipient for 2017. Another milestone occured in November 2016 when Infosys made an equity investment in TidalScale. Financial terms were not disclosed. Crunchbase says TidalScale has gone through several rounds of venture funding, raising at least $11.8 million, probably more.

In the broader context of software-defined data centres, the need for scale-up servers will certainly be just as important as scale-up storage. Many start-ups have pursued the JBOF (just a bunch of flash) storage array opportunity, and some of these companies were acquired at nice premiums and other completed IPOs. The software-defined server space likely won't have as many start-up entrants, giving this company a better chance at driving its inverse hypervisor paradigm forward.

Tuesday, April 3, 2018

DeepScale attracts $15M for perception software

DeepScale, a start-up based in Mountain View, California, announced $15 million in Series A funding for its work in efficient deep learning perception software for use in mass-produced automated vehicles.

DeepScale said it is using efficient deep neural networks (DNNs) on small, low-cost, automotive-grade sensors and processors. The goal is to interpret and classify sensor data in real-time for automated vehicles.

"One of our core objectives is to drastically reduce the number of deaths and injuries on the road," said Forrest Iandola, co-founder and CEO of DeepScale. "The company's Series A funding will not only empower our engineering team to continue to make breakthroughs in automated driving safety, but will also help us attract the brightest talent in the industry to transform the future of transportation."

DeepScale says it has lined up a number of strategic partnerships with Tier 1 suppliers, OEMs and semiconductor suppliers to provide automated driving perception solutions, including Visteon and HELLA-Aglaia Mobile Vision GmbH, a major German automotive supplier.

The funding round was led by Point72 and next47. Additional Series A funding was provided by existing investor Autotech Ventures and Trucks Venture Capital. Previous seed investors included Andy Bechtolsheim, Ali Partovi, Lip-Bu Tan and Jerry Yang's AME Cloud Ventures.

Tuesday, March 20, 2018

FogHorn partners with Google Cloud for Industrial IoT

FogHorn Systems, a start-up based in Mountain View, California, announced a collaboration with Google Cloud IoT Core to simplify the deployment and maximize the business impact of Industrial IoT (IIoT) applications.

FogHorn has built a complex event processing (CEP) - driven edge analytics software for on-premises edge computing. The software has a very small footprint enabling it to deliver real-time analytics to resource-constrained edge devices such as PLCs, gateways and industrial PCs. FogHorn recently enhanced its CEP platform with a new "Lightning ML" edge machine learning solution that can be used to train and execute machine learning algorithms and other advanced data science models on streaming sensor data. FogHorn says this facilitates the creation and iterative enhancement of “digital twins” and other sophisticated machine learning and AI models without the need to send all the sensor data to a cloud or data center for processing.

Under the partnership with Google, FogHorn’s edge analytics and machine learning platform will be integrated with Google Cloud IoT Core, which is a fully managed service that for connecting, managing, and ingesting data from globally dispersed devices.

“Cloud IoT Core simply and securely brings the power of Google Cloud’s world-class data infrastructure capabilities to the IIoT market,” said Antony Passemard, Head of IoT Product Management at Google Cloud. “By combining industry-leading edge intelligence from FogHorn, we’ve created a fully-integrated edge and cloud solution that maximizes the insights gained from every IoT device. We think it’s a very powerful combination at exactly the right time.”

"Our integration with Google Cloud harmonizes the workload and creates new efficiencies from the edge to the cloud across a range of dimensions,” said David King, CEO at FogHorn. “This approach simplifies the rollout of innovative, outcome-based IIoT initiatives to improve organizations’ competitive edge globally, and we are thrilled to bring this collaboration to market with Google Cloud.”

 FogHorn raises $30M for industrial IoT edge computing
FogHorn Systems, a start-up based in Mountain View, California, announced $30 million in Series B funding for its software stack designed for the industrial IoT (IIoT) edge computing segment.

FogHorn has built a complex event processing (CEP) - driven edge analytics software for on-premises edge computing. The software has a very small footprint enabling it to deliver real-time analytics to resource-constrained edge devices such as PLCs, gateways and industrial PCs. FogHorn recently enhanced its CEP platform with a new "Lightning ML" edge machine learning solution that can be used to train and execute machine learning algorithms and other advanced data science models on streaming sensor data. FogHorn says this facilitates the creation and iterative enhancement of “digital twins” and other sophisticated machine learning and AI models without the need to send all the sensor data to a cloud or data center for processing.

FogHorn's “edge intelligence” software targets industrial and commercial IoT application, such as complex machinery packed with sensors. For performance and cost reasons, FogHorn argues data from industrial equipment mostly should be processed locally and not sent to a distant cloud. On-premises computing provides better latency for near real-time feedback. It can also minimize the volume of data to be uploaded to the cloud. FogHorn's software is being used by OEMs and systems integrators. The company is also working directly with end customers in manufacturing, oil and gas, power and water, transportation, renewable energy, mining and agriculture, as well as Smart Building, Smart City and connected vehicle applications.

The new funding round was led by Intel Capital and Saudi Aramco Energy Ventures with new investor Honeywell Ventures and all previous investors participating, including Series A investors March Capital Partners, GE Ventures, Dell Technologies Capital, Robert Bosch Venture Capital, Yokogawa Electric Corporation, Darling Ventures and seed investor The Hive. The company has raised $47.5 million to date.

Monday, February 5, 2018

Ampere emerges from stealth with 64-bit ARM server designs

Ampere, a start-up based in Santa Clara, California, emerged from stealth and revealed its plans for 64-bit ARM-based server processors aimed at hyperscale cloud applications and next-generation data centers.

Ampere Computing is headed by Renee James, the former president of Intel until 2016. Its team also includes three other Intel veterans: Atiq Bajwa, Chief Architect, and foremerly VP and GM of product architecture at Intel; Rohit Avinash Vidwans, Executive Vice President of Engineering, with 25 years experience at Intel including work on Xeon microprocessors for data center and enterprise servers; and Greg Favor, Senior Fellow, and 25 years experience at Intel including over 60 patents. Ampere is backed by The Carlyle Group.

Ampere said its processors will offer a high performance, custom core Armv8-A 64-bit server operating at up to 3.3 GHz, 1TB of memory at a power envelope of 125 watts. It will also offer mixed signal I/O features including PCIE Gen 3, SATA Gen 3, USB and workload accelerators, as well as the high-performance on-chip fabric. The processors are sampling now and will be in production in the second half of the year.

In October, The Carlyle Group acquired the compute business of AppliedMicro from MACOM, which earlier in 2017 acquired Applied Micro Circuits Corporation (AppliedMicro") in a deal was valued at approximately $770 million on the day it was announced.

In March 2017, AppliedMicro announced the sampling of its third generation 16-nanometer FinFET Server-on-a-Chip (SoC) solution, X-Gene 3.  The device is an ARMv8-A compatible processor that matches comparable x86 processors in CPU throughput, per-thread performance, and power efficiency while offering advantages in memory bandwidth and total cost of ownership. It features 32 ARMv8-A 64-bit cores operating at speeds up to 3.0 GHz, eight DDR4-2667 memory channels with ECC and RAS supporting up to 16 DIMMs and addressing up to 1TB of memory and 42 PCIe Gen 3 lanes with eight controllers.

“We have an opportunity with cloud computing to take a fresh approach with products that are built to address the new software ecosystem,” said James. “The workloads moving to the cloud require more memory, and at the same time, customers have stringent requirements for power, size and costs. The software that runs the cloud enables Ampere to design with a different point of view. The Ampere team’s approach and architecture meets the expectation on performance and power and gives customers the freedom to accelerate the delivery of the most memory-intensive applications and workloads such as AI, big data, storage and database in their next-generation data centers.”

Monday, January 29, 2018

MATRIXX raises $40 million for its telco reinvention software

MATRIXX Software, a start-up based in Saratoga, California announced $40 million in Series C funding for its next-gen digital commerce platform for telco and related industries.

MATRIXX Software’s Digital Commerce platform aims to reinvent telco business support systems by bringing together typically separate applications for product design and lifecycle management, customer engagement, service delivery and monetization into a single, comprehensive platform.

The company reports 130 percent year-over-year growth, adding new customers across North America, UK, Europe, Middle East and Asia.

“We founded MATRIXX on the principles of digital scale and agility. We design software with both the Telco and the end consumer in mind to deliver capabilities that will provide valuable and meaningful change to the way Telco’s operate,” said Dave Labuda, founder, CEO and CTO of MATRIXX Software.

The funding round was led by Sutter Hill Ventures. Additional new investors include Spring Lake Equity Partners and strategic partner CK Hutchison, whose 3 brand group of telecommunications operators serve over 130 million customers globally. The round also includes existing investors and strategic partners Greylock Partners, Adams Street Partners, Telstra Ventures and Swisscom Ventures.

Thursday, January 25, 2018

Cumulus raises $43 million for its open networking

Cumulus Networks, which offers a Linux operating system environment for open networking, announced $43 million in new funding. Cumulus plans to expand its sales force and invest in growing its marketing programs, with a particular focus on reaching new customers in EMEA and Asia Pacific.

Cumulus's mission is "to free customers from expensive proprietary network stacks and bring the automation, agility and scalability of web-scale networks to companies of all sizes."

The company cited the following recent milestones:

  • During 2017, the company signed over 350 new customers and now serves more than 800 customers, including over a third of the Fortune 50.
  • Growth outside the U.S. was particularly strong. Cumulus tripled its business in the Asia Pacific region and more than doubled its business in EMEA during 2017.
  • Cumulus Networks debuted in the Visionaries quadrant of the 2017 Gartner Magic Quadrant for Data Center Networking.
  • In October 2017, Cumulus was inducted into the Innovation Hall of Fame by JP Morgan Chase.
  • During 2017, the company released new solutions including NetQ, a telemetry-based fabric validation system; Host Pack, software essentials for the host enabling web-scale networking for containers, microservices and more; and Cumulus in the Cloud, a personal virtual data center to build and test network designs and operations.

The new funding round was led by Telstra Ventures. All existing investors including Andreessen Horowitz, Battery Ventures and Sequoia Capital participated. This brings total funding to $129 million.

“There’s a striking variety in our customer base, which ranges from large financial and healthcare institutions, to breakout SaaS stars, to some of the world’s largest Internet companies,” said Josh Leslie, CEO of Cumulus Networks. “But the common thread running through them is that they are challenging the status quo of networking in their organizations and reaping huge operational benefits as a result. We’re honored to partner with Telstra in this journey. We are excited to use this investment to bring modern, scalable networks to even more organizations around the world, particularly to service providers who are beginning to move into the networking space.”

Cumulus Networks is based in Mountain View, California.

Wednesday, January 24, 2018

Cisco to acquire Skyport for ultra secure servers

Cisco announced its intent to acquire Skyport Systems, Inc., a start-up based in Mountain View, California that offers "hyper-secured" servers for delivering trusted computing and policy enforcement at the application edge.  Financial terms were not disclosed.

Skyport's SkySecure converged system brings together zero trust compute, virtualization and a full stack of security technologies. It logs all traffic at a forensically auditable level, enabling users to see where traffic originates, where it is headed, whether it was allowed or not, what policy allowed or blocked it, and when and who put that policy into action. Remote management capability allows users to secure branch infrastructure without firewalls, proxies, MPLS or other security measures.

Skyport Systems team will join Cisco's Data Center – Computing Systems Product Group, which is led by Senior Vice President and General Manager Liz Centoni and the Service Provider – Networking Group led by Senior Vice President and General Manager Jonathan Davidson.

Investors in Skyport included GV (formerly known as Google Ventures), Cisco Investments, Thomvest Ventures, Northgate Capital, InstantScale, Index Ventures, Sutter Hill Ventures and Intel Capital. The company raised at least $67 million in funding over several rounds.

In June 2016, Skyport announced interoperability between its SkySecure platform and Cisco’s Application Centric Infrastructure (ACI) solution. The goal is to provide application-layer and system-level security and policy controls needed to extend the trust boundary from a system-level root-of-trust to the network edge. Skyport said its interoperability with Cisco ACI also mobilizes security policies, enabling them to follow workloads throughout their lifecycles, and lets users deploy and maintain secure administrative workstations, jump hosts and multi-zone DMZ architectures as an integral part of an overall security framework.


  

Wednesday, January 17, 2018

Anomali raises $40 million for threat mgt and collaboration

Anomali, a start-up based in Redwood City, California announced $40 million in an oversubscribed Series D funding round. The company specializes in threat management and collaboration solutions, announced today that it has closed an oversubscribed.

Anomali cited significant momentum in 2017, including the introducing new capabilities in its ThreatStream, Anomali Enterprise and STAXX solutions, enabling advanced threat forensics and threat sharing capabilities. The company also:

  • launched a 48-bank threat sharing community in the United Arab Emirates,
  • testified before the Homeland Security Committee regarding the importance of threat sharing,
  • partnered with the Bank of England to collect, integrate, hunt and investigate cyber security intelligence data, and
  • published a series of Cybersecurity Country Profiles, including Russia, China and Iran.

“2017 was another remarkable year for Anomali, in which we saw record customer growth and product innovation. We are thrilled to add Lumia Capital, DTCP, Telstra and Sozo Ventures to the Anomali family and are already preparing major initiatives with our newest partners,” said Hugh Njemanze, chief executive officer, Anomali. “Our latest investors ideally position us for growth in Europe, Japan and Australia.”

The latest funding round was led by Lumia Capital, with the participation of Deutsche Telekom Capital Partners (DTCP), Telstra and Sozo Ventures. Returning investors included GV, General Catalyst, IVP and Paladin Capital Group. This announcement marks a total of $96 million total investment raised by Anomali over four rounds of funding.

  • Anomali is headed by Hugh Njemanze, who previously co-founded ArcSight in May 2000 and served as CTO as well as Executive Vice President of Research and Development.

John Chambers launches venture capital firm

John Chambers, the former Chairman and CEO of Cisco Systems, is launching a new venture capital firm to invest in global start-ups dedicated to the digital future. His son, John J. Chambers, is playing a key role as Head of Growth in the business. Shannon Pina, who worked at Cisco as Chambers' executive communications manager , will serve as Chief of Staff.

JC2Ventures, which is based in Palo Alto, California, already lists eight portfolio companies in which it has invested: Airware, Aspire, Dedrone, OpenGov, Pindrop, Privoro, Sprinklr, and Uniphore.

 

Tuesday, January 16, 2018

Aquantia appoints Parvarandeh as COO

Aquantia has appointed Pirooz Parvarandeh as Chief Operating Officer, reporting to Faraj Aalaei, Aquantia’s Chairman and CEO.

Parvarandeh was formerly the Group President and the first Chief Technology Officer (CTO) at Maxim Integrated where he spent 27 years building leading-edge technology businesses, helping scale the company from 150 employees, when he joined, to over 8,000 employees and revenues of $2.4 billion when he left.

Monday, January 15, 2018

Pony.ai raises $112M for autonomous driving - former Baidu and Google X

Pony.ai, a start-up based in Fremont, California with R&D in Beijing, announced $112 million in venture funding for its autonomous driving solutions.

The Series A funding was co-led by Morningside Venture Capital and Legend Capital. Seed round lead-investor Sequoia China and investor IDG Capital also participated in the round, along with Hongtai Capital, Legend Star, Puhua Capital, Polaris Capital, DCM Ventures, Comcast Ventures, Silicon Valley Future Capital and other funding sources. Miracle Capital was the exclusive financial advisor in this round.

Pony.ai is headed by James Peng, co-founder and CEO, who was previously Chief Architect at Baidu, where he oversaw the technical direction of the autonomous driving division and other key areas such as big data and monetization platforms. Dr. Peng started his career at Google after earning a PhD from Stanford University, and he also holds a BS degree from Tsinghua University. Tiancheng Lou, co-founder and CTO, worked on autonomous driving at both Google X (before it became Waymo) and Baidu.  Dr. Lou holds a BS and PhD in Computer Science from Tsinghua University.

Pony.ai is developing level 4 autonomous driving technology. Its test vehicles are already running on Bay area roads.

Pony.ai said it is also making considerable progress in Guangzhou, China, where it began testing its fleet of autonomous driving vehicles on public roads this past December.

“We are excited and honored to welcome our new group of investors to the team and are grateful for their support!” says co-founder and CEO, James Peng. “Autonomous driving has the potential to bring about massive benefits to society, and we hope to work closely with our outstanding investors to realize this future.” Co-founder and CTO, Tiancheng Lou, adds: “We very much look forward to working with our investors to achieve our mission of bringing the safest and the most reliable autonomous driving technology to market!”

Sunday, January 14, 2018

DENSO invests in ActiveScaler for #AI-powered fleet management

DENSO, one of the world’s largest automotive suppliers, has a significant seed investment in ActiveScaler, a start-up based in Milpitas, California that is developing Managed MaaS (Mobility-as-a-Service) systems powered by artificial intelligence. Financial terms were not disclosed.

ActiveScaler's website says its FleetFactor AI-powered software leverages thousands of data points collected from a variety of sources such as internal vehicle data, in-vehicle computers, sensors, driver behavior, CRM/ERP, finance, dispatch and other systems.

"DENSO’s focus is to develop technologies that advance the future of mobility, and enable connected and automated driving," said Yoshifumi Kato, Senior Executive Director at DENSO Corporation. "These technologies directly influence the development of MaaS systems, which will disrupt the future of urban mobility for people and goods by making transportation solutions more seamless and accessible."

"We want to be the engine behind the future of MaaS – hence the term “Managed MaaS”, which will transform current fleet businesses to provide next generation mobility services," said Abhay Jain, CEO of ActiveScaler. "Traditional fleet management services and systems are quickly becoming obsolete because of issues like high upfront software and hardware costs, poor ecosystem integration, and lack of flexibility, which are limiting the type and quality of services that can be offered.

Wednesday, January 10, 2018

Arctic Wolf raises $16M for Cyber Security Ops Center service

Arctic Wolf Networks, a start-up based in Sunnyvale, California with offices in Ontario, Canada, raised $16 million in new funding for its security operations center (SOC)-as-a-service.

The Arctic Wolf service provides a cloud-based security incident and event management (SIEM) application combined with a team of expert security engineers committed to the client's operational requirements.

"Security operations centers are an essential element of modern cybersecurity, and every company needs one,” said Brian NeSmith, CEO and co-founder of Arctic Wolf. “We are transforming how companies look at cybersecurity from a product-centric view to one focused on proactive detection and response. The new funding allows us to invest in key areas of the business and maintain our extraordinary growth trajectory.”

The new funding was led by Sonae Investment Management with participation from Lightspeed Venture Partners, Redpoint Ventures and Knollwood Investment Advisory.

  • Arctic Wolf is headed by Brian NeSmith, who previously was CEO of Blue Coat Systems. Before that, he was the CEO of Ipsilon Networks (acquired by Nokia). 

Wednesday, December 20, 2017

Fyusion raises $22M for computer vision

Fyusion, a start-up based in San Francisco, announced $22 million in Series B funding for its work in 3D computer vision and machine learning.

Fyusion's mission is "to pioneer real-time visual understanding of the physical world using any camera though with a focus on Android & iOS devices." The technology creates immersive, interactive 3D images called ‘fyuses’ by moving any camera around a person, object or scene. Fyusion says its 3D AI technology is capable of understanding these people, objects, and scenes, live in the camera, and with extreme precision. The company also claims to have the world’s largest database of digitized real-world 3D images, updated monthly by tens of millions of users across commercial OEM partnerships. Gionee, Huawei, TCL, and ZTE are Fyusion’s OEM partners.

New Enterprise Associates were a follow-on institutional investor alongside new investors Presence Capital and 2020, a fund partnered with Hon Hai Precision Industry Co., Ltd. New strategic investors include one of the top 3 global smartphone makers, NTT Group’s corporate venture capital firm NTT DOCOMO Ventures, publicly-traded Japanese gaming company Colopl, and Gionee – a Chinese smartphone company. Fyusion has raised a total of $38 million since its inception in 2014.


Radu B. Rusu, CEO of Fyusion said: “We’re delighted to have welcomed investors with such knowledge and connections in the very areas that Fyusion is focused on. These are incredible partners who understand how Fyusion’s 3D AI imaging will drive growth in many key global industries over the coming years.”

See also