A four-surface AI platform that captures expert know-how
Dedendum AI is a multi-tenant B2B SaaS that captures the tacit judgment industrial experts carry but never write down, then delivers expert-validated, source-cited answers to frontline workers. Beeweb designed and built the full stack: a bilingual marketing site, two React PWAs, a multi-tenant admin console, and a Laravel API with pgvector RAG.
Before us
Industrial experts carry decades of tacit judgment (how to read a machine, when to trust a reading, what really goes wrong) that almost never gets written down. When they retire or move on, that know-how walks out the door, and frontline workers are left guessing.
What we built
Dedendum AI captures that expert judgment and turns it into source-cited, expert-validated answers for frontline workers. Beeweb designed and built the full stack: a bilingual marketing site, two React PWAs, a multi-tenant admin console, and a Laravel API with pgvector-powered retrieval (RAG).
What changed
The platform shipped as four working surfaces at TRL 6, with early industrial interest: two letters of intent signed, and 14 of 15 operators interviewed confirming the knowledge-loss gap it targets. Onboarding-speed and answer-time goals are design targets, not measured outcomes.
How expertise becomes a trusted answer
Experts contribute knowledge that is reviewed and validated, then retrieval (RAG over pgvector) grounds every worker-facing answer in a cited source rather than a model's guess. Dedendum AI is the founder's own venture, built by Beeweb. Contradiction detection between sources is a manual review step, not an automated claim.
Real screens from the shipped product
These are real screenshots of the shipped software. Any figures shown in demo screens are sample data, noted under each image.
Six phases, weekly demos
Discovery
Stakeholder workshop and field shadowing.
Architecture
Written scope, fixed price, signed.
Sprint 1
First working module, Friday demo.
Sprints 2-4
Business modules, integrations, real-data testing.
Pilot
One team in production, feedback baked in.
Launch
Production rollout, training, ongoing support.
4
product surfaces in one platform
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