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.
We’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. • 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 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!
This is fantastic. You've perfectly articulated the three core headaches of enterprise AI adoption. The "drowning in information yet starving for trusted answers" line is spot on. The fact that you're tackling hallucinations with source-tracing from day one is a game-changer. Looking forward to trying this out.
We’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. • 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 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!
This is fantastic. You've perfectly articulated the three core headaches of enterprise AI adoption. The "drowning in information yet starving for trusted answers" line is spot on. The fact that you're tackling hallucinations with source-tracing from day one is a game-changer. Looking forward to trying this out.
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