Persona Simulations
Put a survey, prototype or message in front of synthetic personas drawn from a million-person population. Minutes later you know where opinion splits, which traits drive it, and which ideas are worth real fieldwork — for the price of a coffee.
By invitation. We build alongside a deliberately small group of researchers, agencies and teams.
Persona Simulations
Point a survey, a prototype or a piece of messaging at a cohort of synthetic personas drawn from a population of a million, each with over a thousand attributes. Minutes later you have a population-level read: the overall split, the outcome distribution, and which persona traits actually move the result.
It is not a replacement for talking to real people. It is the step before — a fast, cheap way to stress-test a hypothesis, find the segments worth recruiting, and kill the ideas that fall apart under a diverse audience while they are still cheap to change.
Pilot an instrument, probe where a question lands differently across segments, and decide who is actually worth recruiting — before fieldwork costs are locked in. Every run is grounded in the same evidence discipline as the rest of VeraGen, so you can show your working.
Put pricing, positioning, a landing page or a product concept in front of a representative audience and see who pushes back and why. Turn "we think customers will…" into a distribution you can point at, and go into the room with evidence instead of instinct.
Beacon — social media management
Beacon is a complete social media hub that lives inside the project the client already has — their sources, their brand kit, their people, their approvals, all in one place.
Plan a month on the calendar. Let the AI write a native variant per network from the client’s own material, not one post pasted five times. Route it through the approval chain they actually asked for. Schedule it into the hour their own published history says performs. Then read back what it did, and export the report before the call.
Every project’s Beacon is its own world: its own connected handles, brand voice, banned phrases, disclaimers, quiet hours and audit log. Northwind cannot see Acme’s queue, and Acme’s compliance line will never land on Northwind’s post.
Every client is a project, every project has its own Beacon, and nothing bleeds between them. Add a client without adding a subscription, and give them an approval stage of their own so sign-off happens in the tool instead of in email.
Brand voice, banned phrases, hashtag limits and required disclaimers are applied when the AI writes and checked again the moment before it sends. Publishing stays with owners and admins; everyone else can draft, schedule and comment.
The difference
Behind every finding you hand over is a second question someone will ask: 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.
VeraGen 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 every part of the product — the personas, the workflows, and every social post Beacon sends on your client's behalf.
What's inside
Far more than a bundle of tools sharing a login. Every part is built for the same arc — get to a defensible answer, then get it in front of the people who asked for it — and each one knows what the others did. One subscription, one place, one audit trail.
Run a survey, prototype or message against a cohort drawn from a million-person synthetic population, and read back the population-level split and the traits that drive it — a dry run before real fieldwork.
See how it works →Plan, write, approve, schedule, publish and measure social content across five networks — one workspace per client, with their brand voice, their approval chain and an audit trail behind every post.
See how Beacon works →Turn the policy, handbook or standard already in your project into a course and a test — written solely from the documents you assign. Publish it and anyone can take it with an email address and no account.
See how Ascend works →One record per person across every project, not a contact list inside each one. Nothing is recorded that cannot say where it came from, the agent proposes and a person commits, and a deal marked lost has to say why.
See how Thrive works →Beacon publishes; Echo captures the replies, mentions and quotes that follow — and links each one to the post that caused it by its id, not by guessing. It opens inside a project, beside Beacon, so every client stays separate. It reads and never posts. In alpha.
See how Echo works →Turn a project’s photos, clips and findings into a finished film — a timeline with captions timed to the narration, your brand applied from the project, and an MP4 filed back beside the evidence.
Explore Video Studio →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.
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 →Every page, file and dataset a project depends on, in one tree organised the way you think about the work — and a switch on each one deciding whether the AI may draw on it.
See how projects work →Describe who you are looking for in a sentence, point the Hub at where to look, and get people back scored against that brief — every name, title and address carrying the line on the page it came from.
See how it works →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 →Watch that what you shipped still works — not just that the page loads, but that an agent can still fill the form and get the right answer back. Checked on a schedule, alerts when it stops.
See how it's watched →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 →How the work moves
The whole arc in one place — replacing the folder of downloads, the chat window, the document you paste between and the four subscriptions you publish from, with a single system that remembers all of it.
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.
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 without you.
Before you commit to fieldwork or a launch, run it past a cohort of synthetic personas and see where the audience splits — and which traits drive the difference.
Publish findings and prototypes to a profile at your own handle, a permanent home anyone can read without an account. Cut them into a film in Video Studio for the people who watch rather than read. Then take the whole thing to market in Beacon — approved, scheduled and measured, across every network the client is on.
Video Studio
The findings are written, the sources are cited, the prototype works — and the person who has to act on it watches ninety seconds on a phone. Video Studio is that last mile, cut inside the Hub from the material already in your project.
Not a template filler. A timeline: layers on tracks, each with its own movement, look and sound — and a script the AI can draft from the same sources, skills and context that shape everything else in the project.
Who it's for
Built for the work someone else will act on, question, and hold you to — where being right protects a client, a budget and a reputation.
You produce findings other people act on. VeraGen 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.
Pressure-test pricing, positioning and concepts against a simulated audience before launch — then keep the evidence trail behind the decision.
Every client is a project with its own social hub, brand voice, approval chain and audit log. Add a client without adding a subscription, and never explain a post that should not have gone out.
Shared account credit, per-member limits and roles, so a small team can work together without anyone quietly running up the bill.
See it for yourself
Good News Network is a daily newsroom — briefs, market data and original reporting, out every morning. It is researched, written, produced and published inside VeraGen Hub, on the same projects, sources and publishing pipeline you would use. There is an edition waiting for you right now.
New stories every morning, with the deadline pressure that comes with them. A demo survives a screenshot; a newsroom has to survive tomorrow. This one does it daily.
Sources come in, the AI works only from them, the draft becomes a post, and the post goes out under its own handle. Exactly the arc every project in the Hub follows.
It works because the Hub closes the seams. Sources, drafting, review and publishing sit in one place, so a small team keeps the pace of a much larger one.
We build alongside a small, deliberately chosen group of researchers, agencies and teams — close enough that the product gets shaped around how your work is really done, and close enough that when you ask for something, you tend to get it. Tell us what you research, who you publish for, or what you're deciding. We'll be in touch quickly.
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