--- title: "Press" description: "News coverage of Nace.AI, company announcements, media contact, and downloadable logos and team photos for editorial use." canonical: "https://nace.ai/press" --- # Press > News coverage of Nace.AI, company announcements, media contact, and downloadable logos and team photos for editorial use. ## Newsroom Coverage of Nace.AI, company announcements, and the logos and photos you need to write about us. For interviews, comments and media inquiries, write to the press team. Media contact: [press@nace.ai](mailto:press@nace.ai) As featured in: Axios, VentureBeat, The Wall Street Journal. ## New and noteworthy - [Fine-tuning forgets. RAG leaks context. Hypernetworks build the model your agent needs on demand.](https://venturebeat.com/orchestration/fine-tuning-forgets-rag-leaks-context-hypernetworks-build-the-model-your-agent-needs-on-demand) (VentureBeat, June 19, 2026): Nace.AI, a Palo Alto company that raised a $21.5 million seed round in May, is the clearest commercial instance. Its core technology, a generator it calls a MetaModel, produces parameter adaptations for a model at inference time from a company's policies, pointed at regulated work: audit, compliance, risk assessment. - [Exclusive: Nace.AI raises $21.5M to build better agents](https://www.axios.com/pro/enterprise-software-deals/2026/05/05/nace-ai-agents-seed-enterprise) (Axios Pro, May 5, 2026): Enterprises will need agents more tailored to their business as those agents' responsibilities ramp up. - [How Should Public Markets Value AI Infrastructure Startups?](https://createsend.com/t/d-359A1E50AB2BA0BC2540EF23F30FEDED) (WSJ Pro Venture Capital, May 2026): Nace.AI, a Palo Alto, Calif.-headquartered startup building specialized AI agents to autonomously lead complex workflows, emerged from stealth with a $21.5 million seed investment. Led by Walden Catalyst, the funding included participation from General Catalyst and others. ## Media resources Logos and photos for editorial use alongside coverage of Nace.AI. Please credit Nace.AI and do not alter them beyond cropping. - [Logo](https://nace.ai/press/nace-logo-suite.zip): The Nace.AI mark in black and white, as SVG and transparent PNG up to 2048 px, with the app icon. (ZIP, 0.5 MB) - [Team photos](https://nace.ai/press/nace-team-photos.zip): High-resolution headshots of the team, the founders together, and the whole company. (ZIP, 7 MB) Founders pictured in the team photos: - Dos Baha, Founder and CEO - Zhanibek Datbayev, Co-founder and CTO - Sudha Valluru, Co-founder and COO ## Announcements from Nace.AI - [Introducing Nace Document Intelligence: The Perception Layer for AI Agents](https://nace.ai/blog/document-intelligence-launch) (2026-10-08) - [Introducing Drex, a small model that decides instead of writing](https://nace.ai/blog/introducing-drex) (2026-09-24) - [Nace.AI raises $21.5M to build AI-led enterprise workflows](https://nace.ai/blog/announcing-our-seed-investment) (2026-05-05) - [A Letter from the Founders of Nace.AI](https://nace.ai/blog/letter-from-founders) (2025-02-08) [All posts](https://nace.ai/blog) ## About Nace.AI Nace.AI builds small models for professional work. Its Metamodel turns an enterprise's policies and procedures into small, specialized models that execute complex workflows in finance, audit and compliance, while human experts keep final judgment and accountability. Founded in 2024 by researchers and engineers from Google, Meta, Amazon and the University of Toronto, Nace.AI is headquartered in Palo Alto, California, and backed by Walden Catalyst and General Catalyst. | Fact | Value | | --- | --- | | Founded | 2024. Out of stealth in February 2025. | ## Working on a story? We can arrange interviews with our founders and researchers, share benchmark data, and check details before you publish. - [Email the press team](mailto:press@nace.ai) - [Read the research](https://nace.ai/research) ## For agents - [Drex API guide](https://nace.ai/drex.md): the decision model: request shape, question types, benchmarks and deployment, as markdown - [Decision endpoint](https://console.nace.ai/v1/systemone): POST with model "drex-latest", a state string and typed questions (choice, noul, score); https://console.nace.ai/v1/models lists checkpoints - [Document endpoints](https://console.nace.ai/v1/documents/{parse|split|classify|extract|ground}): POST a source (a public URL, an uploaded workspace file or a finished parse job) and poll GET https://console.nace.ai/v1/documents/jobs/{id}; the same key and credit as decisions - [Console](https://console.nace.ai): API keys, the playground, usage and billing; send `Authorization: Bearer $NACE_API_KEY` on every request - [Console docs](https://console.nace.ai/docs): quickstart, question types, the document routes, errors, limits and pricing - [Nace Document Intelligence](https://nace.ai/ndi.md): the Perception series: parse, split, classify, extract and ground any file type with a location on every value - [Developers](https://nace.ai/developers.md): Console: what it holds, a scripted agent session, the ways in and the four deployment boundaries, from our managed cloud to air-gapped - [Site index](https://nace.ai/llms.txt): every page on nace.ai; append `.md` to any page URL or send `Accept: text/markdown` for the markdown version