VeraGen Hub
The complete workspace for evidence-based research. AI that reads only the sources you chose, automation for the work that repeats, a full account of what every run did and cost, and a public profile at your own handle. One product, built to a standard the work deserves.
Invitation only. We work with a deliberately small group of researchers.
The difference
Behind every question a client asks is a second one they may never say out loud: how do you know that?
A general assistant cannot answer it. It draws on everything it has ever read, blends it, and hands you fluent prose with no way back to a source. Impressive for a first draft. Worthless the moment someone senior asks where a number came from.
The Hub inverts the model. You decide what the AI may read — the papers, pages, datasets and notes you gathered for this piece of work — and every answer stays inside that boundary. Then the platform records what it did. When you are asked how you know, you show them.
That inversion is not a setting or a mode. It is the architecture, and it runs through all six parts of the product.
A general AI assistant
VeraGen Hub
How the work moves
The whole arc of a piece of research in one place — replacing the folder of downloads, the chat window and the document you paste between with a single system that remembers all three.
Crawl an entire site into a project in seconds. Upload documents, spreadsheets and datasets. Every source for a piece of work lands in one place, with its own context and reusable skills attached.
Draft in Studio with an AI partner that already knows your sources. Interrogate the material and get sourced answers. Hand the work that repeats to agentic workflows that run on demand or on a schedule, without you.
Publish findings and interactive prototypes to a research profile at your own handle — a serious, permanent home for your work that anyone can read without an account.
What's inside
Not a bundle of tools that happen to share a login. Every part is built for the same job — getting defensible research out of your head and in front of the people who asked for it — and each one knows what the others did.
Draft research documents, shape datasets and build interactive prototypes in a focused editor with an AI partner that has already read every source in your project. Streamed as it writes, versioned on every save.
Explore Studio →Connect triggers, project context, AI agents, logic and actions on a visual canvas — or describe the workflow in plain English and watch the copilot draw it. Runs on demand or on a schedule, and delivers to Slack, email or a project.
Explore workflows →Every document, dataset, crawl and prototype for a piece of work in one project, with its own context and skills so the AI works the way that research does.
Explore projects →See exactly what your AI did and what it cost. Every run traced step by step, broken down by workflow and by model, with token-level cost accounting most platforms simply cannot show you.
Explore observability →Publish selected work to a public profile at your own handle, and see how the world is reading it — without exposing anything you haven't chosen to share.
Explore publishing →Private by default, isolated at the data layer, with a complete audit record of who did what and when. Built to hold up to the review your clients put you through.
Read the detail →Built to be checked
Automated research is only worth having if you can audit it afterwards. Every workflow run in the Hub keeps a full trace: which step ran, what it read, how long it took, which model answered, and what it cost — down to the token.
That record turns "the automation produced this" into something you can stand behind, and turns a surprise on your bill into a question with an answer. Most AI tools cannot tell you what they did. The Hub cannot forget.
Who it's for
Not for casual questions. For the research someone else will act on, question, and hold you to.
You produce findings other people act on. The Hub keeps the evidence and the output together, so the work is still defensible a year later when someone reopens it.
Client work lives in its own project with its own sources. Nothing bleeds between engagements, and nothing is answered from outside them.
Shared account credit, per-member limits and roles, so a small team can work together without anyone quietly running up the bill.
A research profile at your own handle turns finished work into visible credibility rather than a PDF in someone's inbox.
We work with a deliberately small group of researchers — close enough that the Hub is built around how the work is actually done. Tell us what you research and we'll be in touch.
Request an invitation