Results

Nvidia has pricing power: Q2 results surge, projects Q3 revenue of $16 billion

Nvidia has pricing power: Q2 results surge, projects Q3 revenue of $16 billion

There's generative AI money to be made--at least if you're selling the GPUs that power the compute. Nvidia posted another ridiculous quarter and delivered an outlook that looks like a misprint.

Nvidia established itself as an AI growth darling last quarter. The second quarter will only bolster that position. The company reported second quarter revenue of $13.51 billion, up 101% from a year ago. Earnings were $2.48 a share and non-GAAP second quarter earnings were $2.70 a share.

Wall Street was expecting Nvidia to report second quarter earnings of $2.09 a share on revenue of $11.22 billion.

CEO Jensen Huang said Nvidia is benefiting from its GPUs as well as its Mellanox networking and switch gear. Infrastructure sales are booming as cloud providers and enterprises ramp up for generative AI workloads. Nvidia is seeing gains from its H100 AI infrastructure.

Indeed, data center revenue was $10.32 billion, up 141% from a year ago. Nvidia outlined a series of partnerships in the quarter with the likes of Accenture, ServiceNow, VMware and Snowflake. How AI workloads will reshape data center demand

Nvidia is also enjoying pricing power since rivals such as AMD are just ramping up AI efforts. For instance, Nvidia's second quarter gross margin was 70.1%, up 43.5% from a year ago.

The outlook for Nvidia also blew away estimates. Nvidia said third quarter revenue will be about $16 billion. Gross margins are expected to improve to 71.5% to 72.5% in the third quarter.

In prepared remarks, CFO Colette Kress said:

"Data Center revenue was a record, up 171% from a year ago and up 141% sequentially, led by cloud service providers and large consumer internet companies. Strong demand for the NVIDIA HGX platform based on our Hopper and Ampere GPU architectures was primarily driven by the development of large language models and generative AI. Data Center Compute grew 195% from a year ago and 157% sequentially, largely reflecting the strong ramp of our Hopper-based HGX platform. Networking was up 94% from a year ago and up 85% sequentially, primarily on strong growth in InfiniBand infrastructure to support our HGX platform." 

On a conference call, Kress said Nvidia's supply chain and manufacturing relationships have been built up over the last decade and those partnerships are paying off now. She said:

"There is tremendous demand. Our supply chain partners have been phenomenal in supporting our needs. We have lined up additional capacity and components. We expect supplies to increase each quarter through next year."

Kress noted that demand was strong among cloud providers, consumer Internet companies and enterprises, who are looking at on-premises generative AI workloads. "Virtually any industry can benefit from generative AI," she said.

By the numbers:

  • Nvidia said it has authorized an additional $25 billion in stock repurchases. 
  • Gaming revenue was $2.49 billion, up 22% from a year ago. 
  • Automotive revenue was $253 million, up 15% from a year ago. 
  • Pro visualization revenue $379 million, down 24% from a year ago. 

 

 

 

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Snowflake Q2 better than expected

Snowflake Q2 better than expected

Snowflake's second quarter results were better than expected as the company grew its customer base 25%. The company ended the quarter with 402 customers generating more than $1 million in revenue. 

Snowflake reported a second quarter net loss of $226.87 million, or 69 cents a share, on revenue of $674 million. The company reported non-GAAP earnings of 22 cents a share. Wall Street was expecting Snowflake to report non-GAAP second quarter earnings of 10 cents a share on revenue of $662.28 million. 

Product revenue for the quarter was $640.2 million in the second quarter, up 37% from a year ago. 

CEO Frank Slootman said enterprise data is in the center of AI and machine learning efforts. "Enterprises and institutions alike are increasingly aware they cannot have an AI strategy without a data strategy," he said. 

The quarter was a stabilization quarter after the first quarter spurred growth worries. 

As for the outlook, Snowflake projected product revenue growth of 28% to 29% for the third quarter, or about $670 million to $675 million. For fiscal 2024, Snowflake is projecting product revenue of $2.6 billion, up 34% from a year ago. 

Here's a look at the projections for Snowflake and how they fit into the long-term model. 

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R "Ray" Wang on the Actual Risks of Generative AI

R "Ray" Wang on the Actual Risks of Generative AI

The AI attacks on the security of corporations & countries will increase and get more complex & we need to prepare now..

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Twilio fleshes out CustomerAI vision with Customer Data Platform enhancements

Twilio fleshes out CustomerAI vision with Customer Data Platform enhancements

Twilio is bringing generative AI to its Customer Data Platform (CDP) in a bid to use first party data and large language models to predict customer behavior and spur engagement. Twilio is also adding Databricks' Zero Copy architecture to CDP.

The news, announced at Twilio's Signal conference, is part of a broader push under a product strategy called CustomerAI. The game plan is to use generative AI to activate engagement for Twilio Engage, Flex and Segment as well as to provide an AI-powered CDP that can enhance profiles and personalize in real-time. What Twilio is really after is a flywheel that can provide "precise 1:1 personalization" with data and signals from every customer engagement and interaction.

CEO Jeff Lawson said "the real value unlock for AI will be pairing large language models with first party data sets."

Among the key announcements from Twilio:

  • Segment B2B Edition and Zero Copy Architecture. Twilio launched Segment B2B Edition with Linked Profiles to connect relationships across all customer data. With the new edition, Segment will use Linked Profiles to enable customers to build a graph of relationships that link events, experiences and profiles with data sets that include accounts, subscriptions, products, household and other data sets. With the expanded data graph, enterprises can train AI models, build advanced segmentation and provide personalized recommendations.
  • Zero Copy Architecture, which is part of a partnership with Databricks to allow customers to query data warehouse and data lake data directly without copying and Extract Transform and Load. Zero Copy from Databricks will allow Twilio's CDP to ingest data in new pathways. Twilio Engage and Twilio Flex will be able to onboard customer data. Databricks launches Lakehouse Apps, aims to be development platform
  • Predictions and Voice Intelligence. Twilio Predictions aims to give marketers predictive AI without technical expertise. Predictions is powered by Segment data. Voice Intelligence deploys conversational speech recommendations to deliver insights using natural language understanding. Twilio also said that its Virtual Agent with Google Dialogflow CX is generally available.
  • Generative AI tools in Twilio Engage, Flex and Segment. Twilio Engage will get Generative Email Design to complement existing AI-powered features. Generative Journeys spins up customer journeys based on campaign type. Twilio Flex will get generative AI tools with Google Cloud that can provide recommendations for next best actions for contact center agents.

Twilio's Signal news landed a few days after the company’s second quarter earnings. Twilio reported revenue of $1.04 billion, up 10% from a year ago, with a net loss of 91 cents a share. Non-GAAP earnings were 54 cents a share. Twilio ended the quarter with 304,000 active customer accounts.

Lawson on the earnings call said customers were still in learning mode with generative AI. He said:

"Customers are still very much in a learning mode and planning for the future mode, but not necessarily in deploying things actively most. And so, I think it's a really constructive conversation.

When I look at CustomerAI and what we can do with artificial intelligence, I think this is the glue that brings together Segment and Twilio communications into this one, customer engagement platform that we've been talking about for quite a while.

And I think AI is arriving even sooner than we thought in terms of generative AI to be able to bring a lot of those benefits to the table."

Constellation Research's take

Constellation Research analyst Andy Thurai said:

"Twilio is trying to combine LLMs with proprietary data about their customers. While Twilio had the customer data platform (CDP) before, using that data and LLM to predict customer behavior using AI is a new addition. The addition of Zero Copy Architecture in collaboration with Databricks is compelling. While Twilio CDP can offer customer information, it may not be always up to date. With this initiative, Twilio aims to query data lakes, in real-time, to get additional information to enrich their CDP data without ETL. Twilio has a good partner with Databricks.

The graph connection of Linked Profiles is also interesting. It can potentially unearth certain events and make meaningful personalized marketing messages and/or offers that might be timely and potentially appealing. While these are all good additions and appealing, it is hard to move the needle in the CDP, CRM, and marketing tooling category as the competition is very high. Twilio took a good step in the right direction, but competitors are doing the same or better things already."

 

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VMware Cloud launches three tailored management options

VMware Cloud launches three tailored management options

VMware outlined deployment and management options for VMware Cloud to address private, public and hybrid use cases.

At VMware Explore in Las Vegas, the company, which is in process of being acquired by Broadcom, is addressing enterprise demand for multicloud workloads. A Constellation Research report by Dion Hinchcliffe recently outlined how companies were rebalancing their public and private cloud workloads. See:

Given that backdrop, VMware is working to provide more flexibility. VMware Cloud is available in five editions--Essentials, Standard, Pro, Advanced, Enterprise--with three deployment and management options. The new options include:

  • Customer Managed, where VMware Cloud is deployed in enterprise data centers or colocation partners.
  • VMware Managed, which is VMware Cloud on AWS as a managed cloud service. VMware Cloud on Equinix Metal falls into this category.
  • Provider Managed, which is available from partners including IBM Cloud.

Hinchcliffe said the VMware Cloud moves fill a void. He said:

"With today's announcements, VMware is clearly setting its sights on being a top leader in the fast-emerging multicloud frontier. By converging the strengths of its on-premises and public cloud solutions into VMware Cloud, the company aims to offer a consistent, integrated experience seamlessly across various cloud settings -- be it on-premises, hyperscale clouds, or partner-based cloud environments. Such convergence will help businesses to better manage their increasingly complex and diverse cloud terrains, highlighting VMware's intent to own the simplified multicloud management space.

Their three tailored management options – Customer Managed, VMware Managed, and Provider Managed – highlight the flexibility customers want in spreading their cloud workloads across various providers, including private cloud, where they make the most sense. This caters to businesses of varying needs and competencies, with VMware Cloud's adaptability underscored by First Citizens Bank, which they prominently cited in the news. The bank leverages VMware Cloud's consistency to integrate acquired banking systems efficiently, thereby illustrating a real-world application of VMware’s multicloud solution in streamlining operations and reducing integration risks during major business transformations, like mergers and acquisitions."

VMware also outlined NSX+, a new cloud-managed service offering of NSX for multicloud deployments. NSX+, delivered as SaaS, provides one cloud operating model that includes networking and security across VMware Cloud. NSX+ also is adding virtual private clouds.

Hinchcliffe said:

"The introduction of the new NSX+ solidifies VMware’s leadership in data center software-defined networking (SDN). NSX+ is envisioned as a one-stop cloud-managed service that consolidates networking and security needs for multi-cloud contexts. Its SaaS model and central management amplify operational simplicity, and the introduction of NSX+ Virtual Private Clouds (VPCs) speaks to VMware's commitment to providing isolated, secure, and scalable cloud solutions.

The upshot of all this is that these major moves in multicloud capability seeks to position VMWare at the forefront of the multicloud age, making the often daunting aspects of dynamic cloud management more streamlined and efficient for businesses around the world."

Other announcements from VMware include:

  • Private AI services that aim to bring compute and models to enterprise data. VMware announced VMware Private AI Foundation with Nvidia and VMware Private AI Reference Architecture for Open Source.
  • AI integrations for VMware's Anywhere Workspace platform, which include virtual desktop infrastructure and apps, endpoint management, security and digital employee experience. VMware is adding Insights and Playbooks to flag anomalies and IT remediation workflows.
  • VMware Edge orchestration and management tools, services aimed at retailers and managed connectivity options.
  • Platform updates to VMware Tanzu to deliver applications across the enterprise and multiple clouds. There's also a developer portal with curated app templates and admin console.
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IBM watsonx launches COBOL to Java generative AI coding tools

IBM watsonx launches COBOL to Java generative AI coding tools

IBM has launched watsonx generative AI tools to speed up translation from COBOL to Java on its IBM Z mainframes.

The watsonx Code Assistant for Z, which will be generally available in the fourth quarter, is aimed at its mainframe customer base that's looking to modernize its COBOL applications. IBM said that it will preview watsonx Code Assistant at its TechXchange conference Sept. 11-13.

IBM is rapidly building out its watsonx Code Assistant portfolio, which will include IBM watsonx Code Assistant for Red Hat Ansible Lightspeed. Coding is one of the big productivity use cases for generative AI and large language models.

According to Big Blue, the company's watsonx.ai code model will have knowledge of 115 coding languages. The aim is to automate coding as much as possible. In addition, the COBOL use case can alleviate a shortage of developers. IBM research has found that enterprises are more likely to use existing mainframe assets than rebuild applications from scratch over the next two years. Lack of resources and mainframe skills is a big challenge.

IBM's watsonx Code Assistant for Z also aims to keep its IBM Z systems current. IBM's mainframe business is strong and booms with every new Z release. By helping customers incrementally migrate COBOL code to more modern platforms, IBM also keeps the mainframe relevant.

Watsonx Code Assistant for Z is expected to include IBM's Application Discovery and Delivery Intelligence (ADDI) inventory and analysis tool that will outline the steps and opportunities in transforming COBOL code to Java code. IBM is betting generative AI will be a better option than rewriting all application code in Java, migrating to public cloud and creating code that's hard to maintain.

Here's a demo.

Constellation Research's take

Constellation Research analyst Andy Thurai provided his take on the news.

"The code generator LLMs are dime a dozen in the market now. From AWS Code Whisperer to Microsoft Github Copilot to OpenAI Codex to ChatGPT to Google T5 there are major players in the market. There are also smaller players competing in this market: Tabnine, Replit Ghostwhisperer, Codestarter, CodeWp, MutableAI, CodeSquire, Figstack, Datamaker, AirOps, What the Diff, AI query, Adrenaline, Adept, Alphacode, Debuild, Codiga, Locofy, AIXcoder, Mintlify, Maya, Codis, Durable, Bloop, Enzyme, Dhiwise, Codota, Anima, Codacy, Warp, Metabob.

The core of this initiative is to make programmers more efficient by using English as a programming language (possibly other human languages in the future). Enterprises assume the productivity of developers will improve. However, the code spewed out by these solutions can be security risks and infringe on IP and proprietary software.

The key part of any software company, outside of its core business value proposition, is its developers. Obviously, every company employs tons of software professionals and always struggles to upskill them, make them efficient, use DevOps processes, and agile methodologies, build things faster, and be more efficient. These generative AI tools can help.

IBM watsonx Code Assistant is somewhat unique. Watsonx Code Assistant is predominantly trained with code for the purpose of code generation unlike the other LLMs, which are general purpose. This LLM is task-specific and can be classified as a Specialized Language Model (SLM). One of the major issues with mainframe modernization is finding skilled developers. Finding skilled COBOL programmers is extremely difficult either because of workforce mass resignation (the great resignation) or retirement. Finding developers who can understand COBOL and program in Java is even more difficult. Watsonx Code Assistant could be useful to fill these gaps. These models are trained to understand mainframe COBOL applications and spit out object-oriented Java code that can be used to make mainframe modernization easier.

Because IBM trained this model with its own mainframe code, there will be no legal or ownership issues that can arise. However, the announcement and the release are still in preview mode. Let's hope IBM can execute."

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Zoom sees enterprise traction, cites Contact Center, Team Chat wins

Zoom sees enterprise traction, cites Contact Center, Team Chat wins

Zoom Video Communications said Zoom Contact Center has passed the 500-customer mark in the second quarter as the company tries to expand past its core video collaboration tools. The company raised its fiscal year outlook based on enterprise demand.

The company reported second quarter net income of $182 million, or 59 cents a share, on revenue of $1.14 billion, up 3.6% from a year ago. Non-GAAP earnings were $1.34 a share. Wall Street was expecting non-GAAP earnings of $1.05 a share on revenue of $1.12 billion.

Zoom CEO Eric Yuan said the company saw enterprise strength in the second quarter and touted AI features including Zoom IQ Meeting Summary and Team Chat Compose and Intelligent Director. Zoom Virtual Agent and Zoom Contact Center are also seeing traction. Zoom also added that its Workvivo integration is on track. 

The contact center and customer experience space has been heating up as RingCentral and Five9 are making acquisitions and broadening their reach. RingCentral bought Hopin Events in a move to encroach on Zoom's core market.

Yuan said Zoom Contact Center is adding 90 new features and enhancements per quarter. "We look forward to adding additional products to this suite to expand our native CX capabilities and revenue streams."

Zoom is also expanding into the team software space and cited US Postal Service as a key customer win. Yuan said:

"More customers are getting Zoom Team Chat, driven by increased adoption of Zoom One and new features like Continuous Meeting Chat. We have two Fortune 15 companies, one major consulting firm, a global F&B brand and leading law firm using Zoom Team Chat as core means of text-based communications."

Zoom's second-quarter enterprise sales were $659.5 million, up 10% from a year ago. Online revenue, which is more small business focused, was $479.2 million, down 4.3% from a year ago. Zoom ended the quarter with 218,000 enterprise customers, up nearly 7% from a year ago. According to the company, 3,672 customers contributed more than $100,000 in trailing 12 months revenue.

As for the outlook, Zoom projected third-quarter revenue between $1.11 billion and $1.12 billion with non-GAAP earnings between $1.07 a share to $1.09 a share. For the fiscal year, Zoom projected revenue between $4.48 billion to $4.49 billion with non-GAAP earnings of $4.63 a share and $4.67 a share.

Research:

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How Cenlar Approaches Innovation and AI as a Midmarket Company

How Cenlar Approaches Innovation and AI as a Midmarket Company

Constellation Insights Editor-in-Chief Larry Dignan sits down with Cenlar Chief Digital Officer Josh Reicher to hear how Cenlar is handling AI and innovation as a midmarket company. 

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Way too early, almost ridiculous 2024 enterprise tech predictions

Way too early, almost ridiculous 2024 enterprise tech predictions

This post first appeared in the Constellation Insight newsletter, which features bespoke content weekly.

Most executive teams are already planning for the year ahead (except for those management teams woefully behind). With that backdrop, here's a look at 2024 and what you can expect. I'll update this list in December as events unfold.

Customers push back on enterprise technology price increases. Inflation has receded somewhat, but revenue and earnings growth has stalled. According to Yardeni Research, S&P 500 revenue growth in 2023 will be 4%. In 2024, revenue growth will be about the same. Earnings growth for the S&P 500 will be 3.2%, according to Yardeni, but the consensus view is flat. For 2024, earnings growth is expected to accelerate to 11%, according to Yardeni. The problem? Most enterprise software vendors are raising prices in the name of boosting productivity. Some vendors are even talking about value based contracts. It's highly doubtful that enterprise tech buyers are going to take their hard-earned earnings gains and hand them over to software providers. See: SAP user group DSAG rips S/4HANA innovation plans, maintenance increases

Enterprise IT vendors see gradual demand improvement, AI-driven buying

Generative AI disillusionment appears. This prediction is related to those price increases. In fact, generative AI advances are being used to justify price increases. Here's the problem: Every vendor in the tech stack is trying to charge you for some add-on, LLM, and copilot. Generative AI is starting to rhyme with streaming TV subscriptions. At some point, you're simply paying for stuff you're not using. How many copilots does the average worker need?

There will be a 2024 recession. Many of the factors that inspired people to predict a 2023 recession are still in place. When everyone is predicting something, it usually doesn't happen. That's why we may see a shallow 2024 recession--just as no one expects one. The working theory here is that interest rate increases take longer to work through the economy.

Tech M&A returns. There are a few green shoots of mergers and acquisitions in 2023 and once markets and interest rates stabilize the dealmaking will return en masse in 2024. Merger Mondays here we come. While M&A will return, there will be a price band. Deals will have to be big enough to matter, but not so large that they attract regulator scrutiny. Mergers and acquisitions are going to be driven by a very picky IPO market that's still hungover from the SPAC frenzy.

Enterprises embrace hybrid and remote work and start unloading commercial real estate. The trend to shed office space started in 2023 even as companies will telling employees to get their butts back in the office. Google and Facebook suddenly don't want to own half of New York City. What changed? Expiring leases that aren't being renewed. Another thing that changed: CFOs will veto the corporate culture crowd in the name of earnings.

The metaverse makes a comeback. Anyone who has seen Meta's money pit that is its metaverse business is chuckling at this prediction. But a funny thing happened in 2023: Platforms like Nvidia's Omniverse kept developing. Unity's business is doing well. And Apple's Vision Pro is going to give the metaverse a boost. Metaverse is no different than any other new tech trend. There's buzz. Then there's disillusionment. And then things go quiet, and the real disruption begins. Some technology--maybe even blockchain--left for dead will generate buzz again.

PC market bottoms and then bounces due to higher-priced systems. In 2020, everyone bought a PC. Now those PCs are due for a refresh. In addition, workstations and PCs will get upgraded for generative AI features and workloads. This PC rebound will help Intel, AMD and Nvidia. I'm going to run my PC into the ground as I await a quantum desktop (just kidding...sort of).

 
New C-Suite Chief Information Officer

Exploring Wipro Ventures: An Enterprise-Focused Tech Incubator

Exploring Wipro Ventures: An Enterprise-Focused Tech Incubator

Media Name: Wipro Ventures Portfoio.jpeg

Wipro VenturesToday in Mountain View, California, my Constellation Research colleague Holger Mueller and I attended the Wipro Ventures Showcase, their first-ever confab around the enterprise investments they've made since their founding in 2015.

For its part, Wipro Ventures is a venture capital arm of Wipro that invests in early- to mid-stage startups building enterprise software tech and IT solutions. They are an incubator in how they provide a springboard for early-stage businesses and startups with the tools to help their startups grow (although they do not refer to themselves as such.) Wipro Ventures typically gets involved beyond the seed round, with most startups in the portfolio having a revenue in the $500K to $2 million range. Wipro Ventures has invested in over 20 startups, including Vulcan Cyber, IntSights, and vFunction. The firm says they are committed to helping startups succeed by providing them with access to Wipro's global customer base, deep domain expertise, and strong network of partners, as well as actual funding.

Wipro Ventures typically invests in startups across a range of enterprise software segments, including cybersecurity, app development, data, cloud infrastructure, automation , and (more recently) cloud integration solutions, as well as the white-hot artificial intelligence and generative AI sectors.

So far, the venture fund has a solid track record of success, with its portfolio companies having collectively raised over $1 billion in funding, when including well-known co-investors such as Sequoia Capital and Khosla Ventures.

The Crowd at Wipro Ventures Showcase Watching Demos of the Enterprise Startups

The Crowd at Wipro Ventures Showcase Watching Demos of the Enterprise Startups. Credit: Dion Hinchcliffe

An Overview of Wipro Ventures

We spent the start of the showcase with Biplab Adhya, Managing Partner, Wipro Ventures who gave us an overview of Wipro Ventures. They've managed two enterprise tech funds so far:

  • Wipro Ventures Fund I: This fund was launched in 2015 with funding of $100 million. This fund has invested in 16 startups across a range of enterprise software segments, including cybersecurity, app development, data, cloud infrastructure, and DevOps automation. Two notable portfolio companies from Fund I, Demisto (by Palo Alto Networks) and Moogsoft (by Dell), have been acquired by larger companies.
  • Wipro Ventures Fund II: Coming off the success of Fund I, this second fund was launched in 2020 with a larger fund of $150 million. The fund is focused on investing in startups across the same enterprise software segments as Fund I, with an additional emphasis on specific vertical domains, such as 5G, AI, healthcare IT, and financial services. 

Biplab was careful to note that Wipro Ventures consists of a small team and is perhaps the "best kept" secret in funding enterprise tech startups. However, they've had some notable exits and overall a successful track record in helping companies in this vital segment grow. Key to their success: Using Wipro's global customer footprint to drive sales growth for their portfolio companies. They are hoping to reach the CIOs and CTOs in the large enterprise space find fresh and compelling options to move their organizations into the future.

Wipro Ventures Portfolio of Enterprise Tech Startups

Exploring the Wipro Ventures Enterprise Startup Portfolio

After our session with Biplab, a larger session with Angeline Barrozo, Wipro Venture’s Global Head of Business Development, kicks off the Wipro Ventures Showcase in their impressive showcase auditorium. She noted, "we're going to have each of nine companies we have in today's showcase. I will be introducing the company showcase at each of one of three stations around the auditorium." So far, the briefings have been cogent examples of the types of companies that Wipro Ventures invests in: Early to mid-stage companies that are building innovative enterprise software solutions. (All of Wipro Ventures' investments have been in software so far.)

Not including the portfolio companies that have been acquired, here is a breakdown of the startups that Wipro Ventures is currently invested in along witth a group of co-investors:

Altizon - An IIoT StartupAltizon is a global enterprise startup founded in 2013 that provides a platform for industrial IoT (IIoT). The company's flagship product, Datonis, is used by enterprises in the manufacturing and cleantech sectors for condition monitoring, predictive analytics, operations, and for driving consumer insights.

The company's IIoT platform is designed to help enterprises make better decisions by providing them with real-time insights into their operations. The platform collects data from a variety of sources, including sensors, machines, and people. It then uses this data to generate insights that can be used to improve efficiency, productivity, and safety. Altizon's customers include some of the world's leading manufacturers and cleantech companies, such as Coca-Cola, DuPont, and Siemens.

Cycognito Risk Management (EASM)Founded in 2017, Cycognito is an enterprise tech startup that provides a platform for external attack surface management (EASM). EASM is a cybersecurity practice that focuses on identifying and managing the risks posed by an organization's external assets, such as websites, cloud infrastructure, and exposed APIs.

Cycognito's platform uses machine learning and artificial intelligence to scan the internet for exposed assets, identify potential vulnerabilities, and prioritize risks. The platform also provides recommendations for remediation and mitigation.

Functionize Test Automation and IntelligenceFunctionize is an enterprise startup that provides an intelligent software testing platform. The platform employs artificial intelligence and machine learning to automate the software testing process, helping enterprises improve the quality of their software products and services. The platform can automated test creation, est automation, and provides detailed test intelligence.

Functionize was founded in 2013 and its platform is used by a wide range of organizations, including Fortune 500 companies, government agencies, and healthcare providers.

HeadspinHeadspin is an tech startup that provides a digital experience intelligence platform. The platform wields artificial intelligence and machine learning to test and monitor mobile, web, and audio/video applications in real time, helping businesses to ensure the quality of their user experience.

Headspin was founded back in 2015, it positions itself as a "global omnichannel testing Platform for perfecting digital experience." The platforms offers real-time testing, AI-powered insights, and global coverage.

Immuta Enterprise Test AutomationImmuta is a data security startup that provides a platform for managing and governing access to sensitive data. The company's platform uses machine learning and artificial intelligence to automate the process of granting and revoking access to data, helping organizations to comply with regulations and reduce the risk of data breaches.

The platform provides automated access control, data lineage, auditing, and reporting. The company describes its product as "architected to integrate seamlessly into your cloud environment, providing native integrations with the leading cloud vendors. Following the NIST cybersecurity framework, Immuta covers the majority of data security needs for most organizations."

Kibsi Kibsi is a startup that provides a no-code computer vision platform that allows businesses to build and deploy computer vision applications in minutes, they claim. Kibsi's platform uses a drag-and-drop interface and pre-trained models to make it easy for businesses to get started with computer vision without having to hire specialized engineers. Kibsi does more than just identify objects, it adds context and relational rules to computer vision through machine learning and proprietary algorithms. 

Kognitos LogoKognitos is an enterprise startup that provides a platform for business process automation (BPA). The company's platform uses generative AI to automate complex business processes with human language, instead of code. This means that business users can automate their processes without having to rely on technical resources.

Founded in 2018, the Kognitos platform is used by a wide range of organizations from Fortune 500 to public sector. Kognitos can automate almost any process with human language. The platform is self-service, so business users can automate their processes without having to involve IT. This can save both time and money.

Lilt Logo Lilt is a digital transformation service that was founded in 2015 that provides a machine learning-powered translation platform for businesses. The platform helps businesses to translate their content into multiple languages quickly and accurately, without having to hire in-house translators.

The Lilt platform integrates with a variety of content management systems and other tools, so businesses can easily integrate it into their multi-language workflows. Notably, the Lilt platform can learn from previous translations and improve its accuracy over time.

Netspring LogoNetSpring is an enterprise tech startup that offers a platform for operational intelligence. The company's platform uses machine learning and artificial intelligence to help businesses make better decisions by providing insights into their operational data. 

The Netspring platform specifically provides real-time insights into operational data, so businesses can make better decisions faster. The platform also allows businesses to collaborate on operational data, so teams can share insights and make better decisions together and more rapidly.

Qwiet LogoQwiet AI’s is a startup that offers a platform known as preZero tha combines SAST and SCA capabilities to reduce the attackability of applications, improve developer productivity and accelerate software delivery schedules.

The platform examines flow of data across an application and its components, detects vulnerabilities overlooked by siloed code analysis tools and determines if attackers can exploit code vulnerabilities..

Sealights Platform LogoSealights provides a platform for testing and monitoring cloud-native applications. Founded in 2016, the Sealights' platform is designed to test cloud-native applications. This includes applications that are built using microservices and containers. The platform can learn from previous tests and improve its detection capabilities over time. 

The Sealights' platform supports continuous testing. This means that businesses can test their applications continuously, so they can identify and fix problems as soon as possible.The platform offers real-time reporting to track the quality of their cloud-native applications and make improvements.

Securonix LogoFounded in 2013, Securonix provides a security information and event management (SIEM) platform. The company's platform employs machine learning and artificial intelligence techniques to help businesses to detect and respond to security incidents more quickly and efficiently.

Securonix's platform collects data from a variety of sources, including logs, network traffic, and endpoint data. This allows the platform to get a holistic view of the environment and identify potential threats. Securonix's platform correlates data from different sources and visualizes it in a way that is easy to understand. This helps analysts to quickly identify and respond to emerging security incidents.

SpartanSpartan Radar is the developer of a radar technology designed to create real-time radar imagery of very high resolution resolution. The company provides increased sensor -- especially automotive radar -- performance through software-only technologies and​ applies their expertise in dgital signal processing to automotive applications.

Squadcast LogoSquadcast is an incident management software for site reliability engineering (SRE) and DevOps. It provides a modern incident response with an easy-to-use actionable alerting platform that offers the several capabilities including bottom-up adoption of SRE practices, a centralized system reliability dashboard, and automation of incident response workflows.

TradeshiftTradeshift is a startup that offers a platform to transform and digitize the supply chain, using cloud technology to improve Source-to-Pay (S2P) business processes. Its BPaaS deployment of its cloud based P2P platform solution for customers globally offers a managed marketplace, catalog enablement, Req-to-Pay workflow, e-invoicing, global compliance, mobility enabled access and global supplier risk management. 

TricentisTricentis provides a platform for continuous testing. The company's platform, as most of the companies on this list do, uses artificial intelligence and machine learning to help businesses to automate their testing processes, so they can release software more quickly and with fewer defects.

Their platform supports continuous testing for DevOps teams. This means that businesses can test their software continuously, so they can identify and fix defects as soon as possible. Tricentis integrates with a variety of other tools, such as Jira, GitLab, and Confluence. This makes it easy for businesses to use Tricentis alongside their existing workflows and tool chain.

VectraVectra provides a platform for detecting and responding to emerging cyberthreats. Founded in 2013, Vectra's platform integrates with a variety of threat intelligence sources, so businesses can get real-time information about emerging threats. Something I've referred to as a foundation for Applied Threat Intelligence.

Their platform can automate the response to threats, so businesses can take action quickly and effectively. It also provides businesses with detailed reporting and analytics on their security data. This helps businesses to identify areas where they can improve their security posture.

vFunctionvFunction is an architectural observability manager and a powerful tool to reduce technical debt. One of the more personally interesting startups, it analyzes application architecture, identifies domains, pinpoints sources of "cross domain pollution" to manage technical debt and drive continuous modernization.

The platform provides observability, visibility, and tooling to assess, understand, track, and manage architectural technical debt in enterprise applications now and as it grows over time.

YugabyteYugabyte provides a scalable, high-performance, and globally-distributed database platform. Founded in 2016, the company's platform is based on the open-source YugabyteDB project, which is a fork of the popular Apache Cassandra database.

Their platform is globally distributed, which means that it can be used to store and process data in multiple regions. This makes it ideal for applications that need to be available to users around the world. The platform is also open source, which means that it is free to use and modify. This makes it a good choice for organizations that want to have more control over their database infrastructure.

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