Striveworks is an Austin-based AI operations company whose Chariot platform helps organizations build, deploy, monitor, and retrain machine learning models in hours rather than months. Built for highly regulated and contested environments - especially U.S. national security and allied defense - Chariot pairs a fast MLOps workflow with end-to-end data and model lineage, giving customers governance and provenance over models that must keep working when conditions change.
Pete Foley is a serial enterprise-software entrepreneur and the co-founder of ModelOp, the Chicago-based company that built one of the first platforms for governing AI models the way banks govern money. Over a 35-year career he has run and exited a string of infrastructure companies - Infoblox, PortAuthority (to Websense), RingCube (to Citrix), Graphite Systems (to EMC) - before betting that the hardest problem in artificial intelligence would not be building models but trusting them. He served as ModelOp's CEO from its founding and now supports the company from its board of directors.
Comet is an AI developer platform that helps machine learning and AI teams track, evaluate, monitor, and manage models across their full lifecycle - from training experiments to production LLM and agentic applications. Founded in 2017 by Gideon Mendels and Nimrod Lahav, the New York-based company built its reputation on experiment tracking ('GitHub for machine learning') and now extends that into the generative-AI era with Opik, its open-source LLM observability and evaluation platform.
Manifold is a Boston-area applied-AI company building a vertical agent platform for life sciences. Its software helps pharma companies, molecular diagnostics firms, biobanks and academic medical centers turn messy multimodal biomedical data into governed, analysis-ready insight - compressing workflows that used to take months into minutes, while keeping the data governance that regulated research demands. Founded in 2016 and led by CEO Vinay Seth Mohta, the company raised an $18M Series B in December 2025, bringing total funding to roughly $40M.
Gideon Mendels is the co-founder and CEO of Comet, the New York machine-learning platform that tracks, compares, and explains the experiments behind AI models. A computer scientist and NLP researcher by training, he built hate-speech detection at Google and ran speech-recognition research at Columbia before turning the messy, undocumented reality of model-building into a company. In 2024 Comet shipped Opik, an open-source LLM evaluation tool, putting Mendels at the center of the scramble to make AI agents reliable in production.
JFrog is the company behind the universal software supply chain platform anchored by Artifactory, the binary repository that lets engineering teams store, secure, and ship every artifact - packages, containers, and now AI models - from a single source of truth. Founded in Israel in 2008 and headquartered in Sunnyvale, California, JFrog (NASDAQ: FROG) serves thousands of enterprises and crossed $531.8 million in revenue in 2025 while pushing its 'Liquid Software' vision of continuous, secure software flow.
Anyscale is the company behind Ray, the open-source distributed computing framework used to train and serve some of the world's largest AI systems. Founded by the creators of Ray at UC Berkeley's RISELab, Anyscale provides a managed compute platform that lets enterprises scale Python and AI workloads across any cloud, with the performance of bare metal and the ergonomics of a notebook.
Fiddler AI is a Palo Alto-based enterprise AI platform that operates as a control plane for compound AI systems and autonomous agents, providing real-time observability, security, governance, and guardrails for ML models and LLMs in production.
GMI Cloud is an AI-native GPU cloud built around NVIDIA's H100 and H200 accelerators. Founded in 2021 and headquartered in Mountain View, it sells on-demand and reserved GPU compute, an orchestration layer (Cluster Engine), and a low-latency Inference Engine to AI labs and enterprises building generative models. In 2025 NVIDIA named it one of seven Reference Platform Cloud Partners worldwide.
H2O.ai is a Mountain View-based AI cloud company founded in 2012, on a mission to democratize artificial intelligence for everyone. The company offers a converged platform spanning predictive and generative AI - from its open-source H2O-3 machine learning framework to enterprise products like Driverless AI, h2oGPTe, and the H2O AI Cloud. Trusted by over 20,000 organizations including more than half the Fortune 500, H2O.ai is known for employing the world's largest team of Kaggle Grandmasters and for pioneering automated machine learning. With $246 million in total funding at a $1.7 billion valuation, the company serves industries from financial services and healthcare to government and telecommunications, delivering AI that organizations can deploy on their own terms - on-premises, in the cloud, or in air-gapped environments.
Abhishek Choudhary is the Co-Founder and CTO of TrueFoundry, a Series A-backed AI infrastructure platform that helps enterprises deploy, manage, and govern machine learning models at scale. A former Senior Staff Engineer at Meta — where he worked on infrastructure serving over a billion users — he left to build the platform he wished had existed at Facebook: one that brings Meta-level AI automation to every enterprise. An IIT Kharagpur alumnus, he co-founded TrueFoundry in 2021 alongside batchmates Nikunj Bajaj and Anuraag Gupta, and has since grown it to serve clients like NVIDIA, Siemens Healthineers, and ResMed, raising $21.3M in total funding.
Anuraag Gutgutia is co-founder of TrueFoundry, a San Francisco-based enterprise AI platform that lets companies build, deploy, and govern generative and agentic AI inside their own cloud infrastructure. A quantitative analyst turned repeat entrepreneur, he spent seven years at WorldQuant rising to VP of Portfolio Management and the CEO's office before co-founding the talent platform EntHire (acquired by InfoEdge/BigShyft) and then TrueFoundry in 2021 alongside two IIT Kharagpur batchmates. TrueFoundry has raised $21.3M in total funding - including a $19M Series A led by Intel Capital in February 2025 - and serves Fortune 1000 companies seeking to run AI workloads without infrastructure complexity or data-sovereignty tradeoffs.
Krishna Gade is the co-founder and CEO of Fiddler AI, a Palo Alto-based enterprise AI observability and control platform that has raised over $112 million in funding. Before founding Fiddler in 2018, he built data infrastructure at scale at Microsoft/Bing, Twitter, Pinterest, and Facebook - where he led the team that created the industry's first large-scale AI explainability feature, 'Why am I seeing this?' in News Feed. Fiddler AI sits at the intersection of AI transparency, model monitoring, and governance, serving Fortune 500 companies, the US Navy, and organizations that need to trust the decisions their AI systems make.
Linda Haviv is a Staff Developer Advocate at Anyscale and founder of CodingCrystals.com, best known for her wildly nonlinear path from philosophy major and professional singer to site reliability engineer and AI infrastructure advocate. After graduating summa cum laude as Baruch College's salutatorian, teaching herself to code at The Flatiron School, and spending years as a JavaScript developer and SRE at Fox Corporation, she joined AWS as a developer advocate before landing at Anyscale — the company behind Ray, the open-source distributed computing framework that powers OpenAI's ChatGPT training. She uses her platform to demystify AI infrastructure for developers everywhere, and sells STEM-inspired crystal jewelry on the side.
Robert Nishihara is a co-founder of Anyscale, the company commercializing Ray - the open-source distributed computing framework powering AI workloads at OpenAI, Apple, Uber, and thousands of other organizations. A Harvard math grad and UC Berkeley PhD, he built Ray during his doctoral research to solve the tooling bottlenecks he personally experienced doing AI research. Anyscale has raised $259.6M and reached a $1B+ valuation under his leadership before he transitioned from CEO to a product-focused role in mid-2024.
Tredence is a data science and AI engineering firm built around a single, stubborn idea: most analytics projects die in the gap between insight and action. The 'last-mile' is the company's organizing obsession - bridging dashboards and decisions for the world's largest retailers, CPGs, healthcare and telecom companies through industry accelerators, ML platforms and a deep alliance with Databricks.
Sri Satish Ambati is the CEO and Co-founder of H2O.ai, the company behind the world's most widely used open-source machine learning platform. Since founding H2O.ai in 2012 with a mission to 'democratize AI for anyone, anywhere,' he has built it into a $1.7B enterprise AI platform serving over 20,000 organizations including more than half the Fortune 500. A serial entrepreneur who previously co-founded Platfora (acquired by Workday), Sri bridges academic neuroscience research - via sabbaticals at Stanford and UC Berkeley - with industrial-scale AI deployment. Under his leadership H2O.ai has advanced from AutoML pioneer to generative AI powerhouse, with h2oGPTe ranked #1 on the GAIA leaderboard and the company recognized as a Visionary in Gartner's Magic Quadrant for Cloud AI Developer Services.
Domino Data Lab makes an enterprise AI and MLOps platform that helps large, regulated companies build, deploy, monitor, and govern data science and machine learning models across hybrid and multi-cloud environments. Founded in 2013 by three former Bridgewater Associates technologists, Domino is used by more than 20% of the Fortune 100, including Allstate, Bristol Myers Squibb, Bayer, Lockheed Martin, and Dell.
TrueFoundry is a San Francisco-based enterprise agentic AI platform that helps Fortune 1000 companies deploy, govern, and scale AI and machine learning applications. Founded in 2021 by former Meta engineers from IIT Kharagpur, it provides an end-to-end MLOps/LLMOps platform covering model deployment, AI gateway, model registry, prompt lifecycle management, and observability - all on the customer's own infrastructure with SOC 2, HIPAA, and GDPR compliance. With $21.3M in total funding led by Intel Capital and Peak XV, TrueFoundry's platform manages 1,000+ clusters, processes 10+ billion monthly API requests, and delivers 40-50% infrastructure cost reductions for customers including Siemens Healthineers, ResMed, NVIDIA, and Automation Anywhere.
Vianai Systems is a Palo Alto-based enterprise AI company founded by Dr. Vishal Sikka - former CEO of Infosys and CTO of SAP - that builds human-centered AI platforms designed to make generative AI genuinely useful at scale. Its flagship product, hila, is a conversational AI analytics platform that lets C-suite executives query enterprise data in plain language, while its broader MLOps platform handles model explainability, drift detection, bias monitoring, and automatic retraining across industries including financial services, manufacturing, aerospace, and defense. Backed by $440 million in funding including investment from SoftBank Vision Fund 2, Vianai partners with TCS, Google Cloud, Cognizant, and Boomi to deploy trusted, responsible AI for the world's largest enterprises.
Florian Leibert is a German-born software engineer turned venture capitalist who co-founded 468 Capital, a Berlin-based VC firm managing $1.3 billion across 100+ technology companies. Before VC, he co-founded Mesosphere (later D2iQ), which raised $252M and built the infrastructure layer for companies like Apple, Netflix, and SAP - and before that, he was the engineer at Twitter who helped slay the Fail Whale by architecting the distributed systems that kept the platform from collapsing under its own weight.
Sarah Catanzaro is General Partner at Amplify Partners, a Menlo Park-based venture firm investing in technical founders building data infrastructure, machine learning tools, and enterprise software. Before venture, she mapped Somali pirate networks and built threat intelligence systems for the US Secret Service. She joined Amplify in 2017, made partner in 2020, and became General Partner in 2022. Her portfolio includes RunwayML, LangChain, Modal Labs, Hex, DatologyAI, and WarpStream. She invests pre-product, bets on problem-obsessed founders, and argues that most AI struggles trace back to bad data.
Debanjan Saha is the CEO of DataRobot, leading one of the most widely deployed enterprise AI platforms in the world. A PhD in Computer Science from the University of Maryland and alumnus of IIT Kharagpur, he built his career across IBM, Amazon Web Services (where he launched Amazon Aurora), and Google Cloud (where he oversaw BigQuery Omni and Dataplex). He joined DataRobot in February 2022, became interim CEO in July 2022, and was formally appointed CEO in September 2022. He holds 50+ patents, is an IEEE Fellow, and a Distinguished Member of the ACM.
Neschae Fernando is the CEO of Zone24x7, a 22-year-old technology engineering company headquartered in San Jose, California, with a major hub in Sri Lanka. With a dual background in electrical engineering (MS and BS from UCLA) and enterprise IT delivery at Cisco, Fernando leads a 270-person team that sits at a rare intersection: companies capable of integrating hardware and software end-to-end. Under his leadership since June 2022, Zone24x7 has won seven industry awards in 2025 alone, including Gold at NBQSA and the IoT Technology of the Year Award, while expanding its AI, RFID, and cognitive vision platforms across 50+ enterprise clients globally.
Samir Deolikar is the Chief Executive Officer of BayRock Labs, a Silicon Valley product-engineering firm in San Jose that ships AI-first software for startups and enterprises. He moved into the CEO seat in February 2024 after two years as advisor, and twenty-plus years across Zensar Technologies and Reliance Industries before that.
Ahmed Kamel is a Cairo-born, San Francisco-based serial tech entrepreneur and Google Developer Expert in Machine Learning. He is the CEO and Co-Founder of Sinai.ai, an AI-native book platform that transforms static books into interactive, personalized reading experiences via its patented aiBook™ format. A 20-year software veteran, Kamel previously co-founded YOUXEL Technology (2011) and adam.ai (2017), an AI-powered meeting management platform that attracted Atlassian investment and grew 5x during COVID-19. In April 2026, Sinai.ai closed a $1.45M pre-seed round led by KAUST Innovation Ventures and DisrupTech Ventures.
Gabriel Bayomi Tinoco Kalejaiye is a Brazilian-born engineer and entrepreneur who co-founded Openlayer, a San Francisco-based AI governance and observability platform. After earning his MS in Computer Science from Carnegie Mellon and working as a Machine Learning Engineer at Apple - where he contributed to both Siri and the secretive Vision Pro project - he left with two colleagues to solve the problem that haunted every AI team: models that look great in testing but fail in the real world. Openlayer provides enterprises with evaluation, monitoring, and compliance tooling across the full AI lifecycle, from prototype to production. The company raised a $14.5M Series A in May 2025, grew nearly 5x in 2024, and is now a recognized vendor in Gartner's 2026 Market Guide for AI Evaluation and Observability Platforms.
Mohamed Elgendy is the Co-Founder and CEO of Kolena, a San Francisco-based AI testing and validation platform that raised $21M to help enterprises build reliable, trustworthy AI systems. An Egyptian-American technologist and author of the widely-read 'Deep Learning for Vision Systems' (Manning Publications, 20,000+ copies sold), Elgendy cut his teeth building AI/ML organizations at Amazon, Twilio, Rakuten, and Synapse (acquired by Palantir) before founding Kolena in 2021. His mission: bring software engineering rigor - unit testing, regression analysis, scenario-level validation - to a field that has long relied on aggregate accuracy scores that mask real-world failures.
Scott Clark is the Co-founder and CEO of Distributional, an enterprise AI testing platform that helps companies identify behavioral drift and unknown failures in AI systems. A triple-degree graduate of Oregon State University with a PhD in Applied Mathematics from Cornell, he co-founded and sold SigOpt (a Bayesian optimization platform backed by Y Combinator and a16z) to Intel in 2020, then led 200 engineers as VP & GM of AI/HPC Supercomputing at Intel before founding Distributional in September 2023. The company raised $30M in under a year, including a $19M Series A led by Two Sigma Ventures in October 2024.
Tristan Zajonc is the cofounder and CEO of Continual, a San Francisco-based AI agent platform enabling enterprises to automate complex workflows. A Harvard-trained public policy PhD turned serial AI entrepreneur, he previously founded Sense.io (acquired by Cloudera in 2016) and served as Cloudera's CTO for Machine Learning before pivoting back to founding. With over 15 years building machine learning infrastructure across academia and industry, Zajonc has been quietly shaping how enterprises operationalize AI - from SQL-driven ML pipelines to LLM-powered agents - long before it became fashionable.