bias-detection
(7)
Arthur
Arthur is a New York-based AI governance and observability company that gives enterprises a single control plane to discover, monitor, evaluate, and govern the AI models and autonomous agents running across their organization. Founded in 2018 by a team out of Capital One and academia, Arthur started with machine-learning monitoring - catching model drift, bias, and performance decay in production - and has since expanded into real-time guardrails, LLM evaluation, and agentic AI governance. Its open-source Arthur Engine and its Agent Discovery & Governance platform help security, compliance, and ML teams ship AI they can trust in regulated industries like finance, insurance, healthcare, and government.
Dandelion Health
Dandelion Health is a New York-based clinical AI and real-world data company that turns de-identified patient records from a network of U.S. hospitals into research-ready datasets and software for drug developers and AI teams. Its multimodal platform combines structured records, clinical notes, medical images, and raw biological signals such as ECG waveforms across roughly 15 million patients, helping pharmaceutical companies design smarter trials, discover biomarkers, generate real-world evidence, and validate healthcare algorithms against diverse populations.
Monitaur
Monitaur is a Boston-based B2B software company that builds an AI governance platform for highly regulated industries, most notably insurance and financial services. Its 'policy-to-proof' approach helps enterprises define AI policies, inventory and manage models, and automatically generate the evidence, monitoring, and audit trails that businesses, regulators, and consumers need to trust high-impact AI. Founded in 2019 by Anthony Habayeb, Andrew Clark, and Michael Herman, the company raised a $6M Series A in 2024 and has been recognized by Forrester as a Customer Favorite in AI governance.
Textio
Textio is a Seattle-based software company that uses augmented writing - natural language processing and machine learning - to help managers and recruiters write clearer, less biased workplace language. Born from a linguistics PhD's research into how word choice shapes who applies for jobs and how feedback lands, Textio turned bias into something measurable: it scores job posts and performance reviews in real time and suggests fixes. In 2026 it extended that thesis into hiring with Lavalier, an interview-intelligence product.
Fiddler AI
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.
Krishna Gade
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.
Colleen Gallagher
Colleen Gallagher is the CEO of Textio, an AI-powered HR tech company helping organizations attract and develop top talent through bias-aware communication tools. A US Navy veteran turned finance executive, she rose through the ranks at Textio - from CFO to COO to CEO - bringing operational rigor and a conviction that most hiring fails because it mistakes likability for competence. Under her leadership, Textio launched Lavalier, an interview intelligence platform designed to replace gut-feel hiring with structured, evidence-based evaluation.