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.
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.
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.
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.
Jason Lopatecki is the co-founder and CEO of Arize AI, a leading AI observability and evaluation platform that has raised $131M including a $70M Series C in 2025. A serial entrepreneur and UC Berkeley EECS graduate, he previously co-founded TubeMogul and scaled it from a garage startup to a NASDAQ-listed public company before Adobe acquired it in 2016. At Arize, he is building the infrastructure layer that helps engineering teams test, evaluate, and troubleshoot AI models and LLM-powered agents in production - a market that has exploded with the rise of generative AI.
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.
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.
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.
Nikunj Bajaj is the Co-Founder and CEO of TrueFoundry, a San Francisco-based enterprise AI infrastructure platform that lets companies build, deploy, and govern machine learning and generative AI applications on Kubernetes - in cloud, on-prem, or hybrid environments. An IIT Kharagpur and UC Berkeley alum, Bajaj previously led machine learning at Facebook where he helped launch the company's first on-device model on Messenger and built the Proactive Assistant. He founded TrueFoundry in 2021 alongside two IIT Kharagpur batchmates, raised $21.3M (including a $19M Series A led by Intel Capital in 2025), and counts Siemens Healthineers, NVIDIA, and Automation Anywhere among customers - compressing typical AI deployment timelines from 14 months to under four.
Aurimas Griciūnas is a Lithuanian ML/AI engineer, founder of SwirlAI, and author of the SwirlAI Newsletter with 58,000+ Substack followers. A former CPO at neptune.ai (acquired by OpenAI), he now runs SwirlAI — an AI engineering education and consulting firm — and is a LinkedIn Top Voice in AI with 120,000+ followers. His newsletter covers AI engineering, LLMOps, RAG architectures, and agentic systems from a production-first, no-hype perspective.
Weights & Biases (W&B) is the AI developer platform that the world's leading machine learning teams use to build, train, and deploy better models faster. Founded in 2017 in San Francisco, W&B provides experiment tracking, model management, and LLMOps tooling used by over 1 million developers - from OpenAI and Meta to Toyota and AstraZeneca. Acquired by CoreWeave in May 2025 for $1.7 billion, W&B is now the software backbone of one of the most important AI infrastructure companies in the world.
Humanloop was an enterprise LLM development platform founded in 2020 as a UCL spinout, offering prompt management, evaluations, and observability tools for teams building AI applications. With customers like Duolingo and Gusto, it raised ~$8M and reached ~$3.8M ARR before being acqui-hired by Anthropic in August 2025, after which the platform was sunsetted on September 8, 2025. Its technology and team live on inside Anthropic's enterprise console.