knowledge-graphs
(15)
Intelmatix
Intelmatix is a deep-tech enterprise AI company founded by MIT-trained technologists that builds EDIX, an Enterprise Decision Intelligence Platform designed to act as a 'digital brain' for organizations. Using context-aware AI agents, knowledge graphs and generative AI, EDIX lets companies sense, learn, decide and act across functions like demand forecasting, inventory, workforce planning and site selection - without needing an in-house data science team. Headquartered in Riyadh with offices in London and Boston, Intelmatix focuses on the MENA region, training on local context data that global platforms overlook. It raised a $20M Series A in 2024 - the region's largest AI Series A of its kind - and in 2025 became the first Saudi and MENA AI company named a World Economic Forum Technology Pioneer.
Dotwork
Dotwork is an AI-native strategy, portfolio, and product operations platform that connects goals, work, finance, and outcomes so enterprise leaders can align teams and steer decisions with confidence. Founded by Steve Elliott - who previously built AgileCraft and sold it to Atlassian, where it became Jira Align - the Georgetown, Texas company uses knowledge graphs, a no-code organizational ontology, and AI agents to turn strategy that is usually buried in slide decks and spreadsheets into a living, connected operating model. Dotwork raised a $12M Series A and counts product and portfolio leaders at companies like NVIDIA, GitHub, and SolarWinds among its early users.
Lynx Analytics
Lynx Analytics is a Singapore-founded, AI-native analytics firm built by INSEAD students and professors in 2010 to apply graph theory to hard business problems. Its flagship platform, LynxKite, turns very large datasets into graphs and runs hundreds of graph algorithms - many GPU-accelerated - to power everything from telecom churn prediction and fraud detection to drug discovery. Over the past few years the company has pivoted its focus toward AI-native consulting and products for pharma and life sciences, combining biomedical knowledge graphs, large language models, and NVIDIA's accelerated computing stack.
Evidium
Evidium is a San Francisco healthcare-AI company building what it calls 'Referenced AI' - a neurosymbolic platform that turns medical evidence into computable knowledge. Rather than a black box, it projects patients across a computable map of clinical states and the transitions between them, so every insight traces back to guidelines, charts, and research. Founded and led by Carl Bate, the company sells transparent clinician-quality insights and probabilistic risk forecasts to health systems, insurers, and payviders, and closed a $22M Series A co-led by Health2047 (the AMA's venture studio) and WGG Partners in November 2025.
dMetrics
dMetrics is an AI company that builds Minsky, a natural-language-processing platform letting non-technical subject-matter experts create their own AI models to read, track, and analyze huge volumes of messy text - without writing code. Founded by two MIT machine-learning PhDs, the company started by decoding healthcare conversations across social media and now serves financial, pharmaceutical, and public-sector customers, including a five-year, $99.5M U.S. Department of Defense production contract for open-source threat analysis.
Paul Nemirovsky
Paul Nemirovsky is the cofounder and CEO of dMetrics, the Brooklyn-born AI company behind Minsky, a natural language processing platform that lets non-technical experts steer AI across the world's largest financial, pharmaceutical, and public-sector organizations. An MIT Media Lab PhD who once built musical navigation shoes and showed interactive art at the Centre Pompidou, he has grown dMetrics from two founders to a 40-person team without venture capital, and in 2024 the company landed a Department of Defense AI/ML production contract worth up to $99.5 million.
OptraHEALTH
OptraHEALTH is a San Jose-based AI healthcare intelligence company that turns dense genomic and clinical data into plain conversation. Its patented HealthFAX platform and GeneFAX product line use conversational AI, natural language processing, and knowledge graphs to help labs, hospitals, payors, and patients navigate genetic testing, revenue cycle management, prior authorization, and clinical decisions - letting people ask their health data questions through chat, mobile, and voice interfaces.
Tom Sawyer Software
Tom Sawyer Software is a Berkeley, California company founded in 1992 - the first commercial firm devoted entirely to graph visualization, layout, and analysis. Its low-code platform, Tom Sawyer Perspectives, plus tools like Explorations and the SysML v2 Viewer, let enterprises, governments, and software vendors turn tangled networks of data into readable pictures: fraud rings, supply chains, telecom topologies, and system models. Bootstrapped, profitable, and global, it has spent three decades drawing the lines between things.
Smack Technologies Inc.
Smack Technologies is a frontier AI lab for national security, founded in 2024 by two Marine Special Operations veterans, Andy Markoff and Clint Alanis. The company builds domain-specific AI models trained through deep reinforcement learning inside proprietary synthetic warfare environments. Its goal is what it calls 'Decision Dominance' - compressing the Orient and Decide phases of the military OODA loop from months to minutes. Two product suites carry the work: Omega, a command-level stack that turns commander intent into executable plans, and Alpha, an edge stack with lightweight models and proprietary hardware for tactical platforms operating in degraded, low-bandwidth conditions. Smack raised $32M in combined seed and Series A funding led by Geodesic Capital and Costanoa Ventures, and has secured seven-figure contracts with the Joint Fires Network and the Marine Corps Warfighting Lab.
Emil Eifrem
Emil Eifrem is the co-founder and CEO of Neo4j, the company he built from a cocktail-napkin sketch on a 2000 flight to Mumbai into the world's leading graph database platform. He coined the term 'graph database,' developed the property graph model, and has guided Neo4j to a $2.2B valuation, over $200M in annual revenue, and adoption by 84 of the Fortune 100. Beyond enterprise metrics, he launched the Graphs4Good program channeling graph technology toward cancer research, pandemic supply chains, and investigative journalism — most famously the Panama Papers investigation that won the Pulitzer Prize and toppled Iceland's government.
Sherman Ye
Sherman Ye is the Founder and CEO of NebulaGraph (vesoft Inc.), the company behind one of the world's most scalable open-source distributed graph databases. After engineering stints at Facebook and Ant Financial — where he worked directly on graph database infrastructure — Ye founded vesoft in 2018 to bring enterprise-grade graph database technology to a market hungry for connected-data insights. NebulaGraph can handle trillions of edges with millisecond latency, and counts Tencent, Meituan, and JD Digits among its users. Ye led the company through a $8M pre-A round in 2020 and a Series A in 2022 led by Jeneration Capital, while pioneering the GraphRAG concept that merges knowledge graphs with large language models.
Quantifind
Quantifind is a Palo Alto-based AI risk intelligence company that helps banks and government agencies surface financial crime signals from oceans of public, unstructured data. Its Graphyte platform automates anti-money-laundering, KYC, and investigations work, cutting false positives and accelerating analyst decisions.
Vivun
Vivun is an AI-powered presales platform that helps enterprise B2B companies scale their sales engineering teams through structured intelligence. Founded in 2019 by two married couples with 25+ years of combined presales experience, Vivun builds AI agents that reason through expert knowledge rather than simply generating language - grounding every deal recommendation, demo, and forecast in the structured expertise of elite practitioners. With $131M raised and customers like Snowflake, Okta, Zoom, and CrowdStrike, Vivun has become the operating system for technical sales.
Brendan Madden
Brendan Madden is the founder and CEO of Tom Sawyer Software, a Berkeley-based pioneer in graph visualization and analysis technology that he has led since 1992. With four decades of experience in the graph field - starting at IBM's Thomas J. Watson Research Center - Madden built one of the world's foremost graph visualization platforms, serving industries from finance and government to manufacturing and cybersecurity. Under his leadership, Tom Sawyer Software has become a go-to platform for building scalable graph-powered applications, digital twins, and systems modeling tools, with the company's latest push into AI-powered graph technologies and SysML v2 viewer capabilities.
Jack Porter
Jack Porter is a serial entrepreneur, multi-time CEO, and co-founder of Cognizer Inc, an AI-powered contract intelligence company based in Pleasanton, California. With a career spanning decades and leadership of more than seven software companies, Porter has worked on AI projects for clients including American Express, Discover Card, Merck, and GlaxoSmithKline. At Cognizer, he is building a platform that uses knowledge graphs, graph neural networks, and large language models to help enterprise legal, sales, and procurement teams extract intelligence from contracts at scale. Cognizer has raised over $16M in funding and is recognized for its Genius AI platform, which achieves 97% accuracy in extracting contract terms and clauses.