VeraGen Research Hub
One hub for the whole arc: gather the evidence, build with AI that has read it, test the idea before anyone real sees it — then take it to market and measure what it did.
Access is invite-only while we grow. Ask your VeraGen administrator for an invitation.
Welcome back to your research hub.
What you get
Point Ascend at the policy, handbook or standard already in your project and it writes the course: modules, lessons and a test, drawn solely from the documents you assign and never from what a model happens to know. Publish it to your profile and anyone can take it with an email address and no account — contractors, new starters, franchisees, customers — and you see who passed and which questions people keep getting wrong.
Plan a month, write a native post for each of five networks, route it through the approval chain the client asked for, schedule it to the hour their own history says performs, and read back what it did. Every project gets its own Beacon — its own handles, brand voice, disclaimers and audit log — and nothing crosses between them.
Choose the feeds worth reading and the site carries their stories, each one crediting the publisher who wrote it and linking back. It never rewrites a story. Stories are filed by subject into your own sections, and the front page leads with the biggest story rather than the newest — as does every section. Point Beacon at any of those headlines and it posts them by itself whenever they change, with the article’s own picture on the card.
Beacon publishes; Echo captures the mentions, replies and quotes that follow, and links each one to the post that caused it — a key match, not a guess. The front page is the analysis: the topics people are actually raising and how sentiment moves, with the raw posts one click away under Evidence so every number names the rows behind it. Echo is per project, so an agency keeps each client’s conversation separate, with its own budget and its own cap. It reads and never posts, and every post it shows links back to the original.
Contacts, companies and deals for the whole account, not walled off per project — so the person who is a lead on one piece of work and a customer on another is one record, not three. Every field carries where it came from, so “where did this email address come from?” is answerable a year later, and anything the AI cannot trace to a source is discarded rather than saved. An agent researches within a budget you set and proposes what to do next — it never sends, and it never moves a deal on its own.
Run a survey, a prototype or a message past a cohort drawn from a synthetic population, and read back where opinion splits and which traits drive it — a dry run before you spend a week on real fieldwork.
Draft research documents, shape datasets, and build interactive prototypes in a focused editor, with an AI partner beside you — no more wrestling a tiny text box.
Cut a film from the photos, clips and words already in your project — describe it and the AI writes the script, or build it yourself on a timeline with layers, captions, effects and a voiceover. Export at any aspect ratio for the place it is going.
Automate multi-step work on a visual canvas — connect triggers, AI agents, and actions, run them on demand or on a schedule, and deliver results to Slack, email, or a project.
See exactly what your AI did and what it cost — every workflow run and Chat & Research session traced step by step, broken down by workflow and by model, so a jump in the bill is a question you can actually answer.
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, with alerts when it stops.
Collect the documents and data behind any web page in seconds, then ask questions answered only from what you gathered — grounded in your sources, never the open web.
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.
Every project opens to a live overview of what you’ve gathered — documents, datasets, prototypes, crawls — and how the world is reading your published work.
Give each project its own knowledge and reusable AI Skills, so the AI works the way your research does — and gets sharper over time.
Anything headed for the public internet — a news story, a social post, a public chatbot reply, a published profile — is checked on the way out, and anything questionable is recorded for a person to decide on. Three narrow categories, not a taste filter, and it never looks at your private work.
Every page, file and dataset a project depends on, in one tree organised the way you think about the work — with a switch on each item deciding whether the AI may draw on it. Bring files in from your machine or straight from Google Drive — Docs, Sheets and Slides convert on the way in, and the access we ask for is read-only.
Write findings up as articles with charts embedded as live figures and the data behind them attached, then publish to a profile at your own handle. Nothing is public until you say so.
A searchable help center covering every feature end to end, plus a built-in assistant that answers from it in plain language — and hands you copy-ready prompts when that is faster than an explanation.