
2Brain
Turn scattered business data into source-linked AI agents
107 followers
Upload files, sites or recordings to build a knowledge base, explore its auto-generated keyword graph, then launch Chat, Quiz or Data agents that trace every sentence and image back to the original file. Source-grounded answers, enterprise-grade security.
Hey Product Hunt 👋
I’ve built products from scrappy start-ups to FTSE-100 stacks and spent the past six years knee-deep in AI. One pattern never changes: companies drown in information yet starve for trusted answers. Large language models are brilliant storytellers, but they’ll merrily invent head-count numbers if you let them.
Three headaches we kept hearing from teams in the wild:
1. “Where on earth is our data?” Content lives in half-a-dozen systems, each with its own formats, logic and permissions. Centralising it is a security and governance mine-field.
2. “Hallucinations are cute until they aren’t.” An 80% accurate model looks great on paper; in an HR or finance query, even 99% can trigger a management fiasco.
3. “Knowledge never sits still.” Slides, sites and spreadsheets change daily—who’s supposed to spot stale content and keep every bot in sync?
2Brain tackles those pain points in three steps:
1. Universal ingestion–drop in websites, PDFs, meeting recordings or spreadsheets; we structure the lot in minutes, permissions intact.
2. Dynamic knowledge mapping–an interactive keyword graph gives everyone a bird’s-eye view of how ideas connect (and what’s gone stale).
3. Source-traced agents–Chat, Quiz and Data-analysis bots that cite every sentence and image they rely on. If an answer can’t be traced, it doesn’t ship.
Under the bonnet sits our Vision-RAG architecture: intent recognition plus a question engine designed to minimise hallucinations. Add enterprise-grade deployment tiers–from private cloud to fully on-prem LLMs–and even the legal team can breathe easy.
Pricing, nice and simple
• Free Beans for all: every new account starts with 50 Beans on the house.
• Extra PH bonus: sign up via our Product Hunt link and you pocket another 50 Beans (total 100) – grab yours here → https://portal.2brain.ai/auth/si...
• Pay-as-you-go “Beans” packs: 500 Beans for $9.9, 1 200 for $19.9, 3 200 for $49.9, 7 000 for $99.9, 15 000 for $199.9, 50 000 for $499.9. Tax included.
• Each agent action consumes Beans; no seat fees, no surprise overages.
• Referral love: every successful sign-up via your code gives your friend 50 Beans and you 20 Beans back.
Why launch on PH now?
Early customers already cut 1000-page market reports to five-minute insight packs, and run company-wide exams in minutes instead of weeks. The tech is ready; your feedback will shape the next agents we ship.
Ask us anything–pricing, implementation, or philosophical rants about the DIKW pyramid. We’ll be here all day (and the night-shift from New Zealand).
Cheers,
Pin & the 2Brain crew
@silviakyou
As the PM behind 2Brain, I want to highlight a few things we’re especially excited about:
We’re not building “yet another chatbot” — we’re building shareable, source-traced agents that run on your real knowledge, not generic web text.
✅ Source traceability you can trust
✅ Keyword graph, not just a blob of embeddings
✅ Agents built for actual productivity — think: training, reporting, summarizing, not just chatting
✅ One-click sharing — you can share your agent with anyone, and it runs on your own verified knowledge
✅ We’re now developing revenue-sharing tools so experts can turn their personal AI assistants into paid consulting agents. Build once, share widely, get paid.
If you’ve ever said “I’m answering the same question for the tenth time” — 2Brain might just be your second brain.
Happy to dive deeper into any of this — just ask.
Pin
Finally a bot that actually shows its receipts 🦘
Wion - Audio Dating
@tanjum Thanks so much for the comment! That’s exactly what we hoped to hear
We built 2Brain to replace scattered, hard-to-navigate docs with one smart, searchable hub — glad it's hitting the mark for you.
Really would love to hear more about how you’re using it and what could make it even better.