Made-up answer (hallucination)
Generic AI invents numbers, clauses and procedures when it doesn't know. Convincing — and wrong. Decisions made on top become rework or loss.
Upload PDFs, manuals, contracts and spreadsheets. Synapse organizes, indexes and answers based on your real documents, with source citation. No hallucination. Always up-to-date when you add something new.
When your team asks about discount policy, contract clause or internal process, generic AI answers confidently — but with wrong information. The result is worse than no AI: biased decisions, validation rework, lost trust.
Generic AI invents numbers, clauses and procedures when it doesn't know. Convincing — and wrong. Decisions made on top become rework or loss.
Model was trained up to X. Your policy changed yesterday. Answer uses old version without warning. Team has to manually validate everything — losing the speed gain.
Where did this answer come from? Who approved? What document was queried? Generic AI has no audit. In regulated environments (finance, legal, healthcare) this is a technical veto.
RAG (Retrieval-Augmented Generation) is the industry standard for anchoring AI in your own knowledge. Synapse adds proprietary rerank that delivers 3-5× more precision than common RAG — and human governance before any source becomes an answer.
PDFs, DOCX, XLSX, contracts, manuals, policies, databases. Drag and drop or native connector. No limit on folders, hierarchy or source type.
Synapse splits into semantic chunks, vectorizes and indexes. You approve each new source before it becomes an answer to the team. No IT, ready in hours.
The question becomes an embedding, search runs in two layers — semantic + proprietary rerank. The right answer stays on top, not the closest match to the question.
Every answer cites the source document, page and clickable link. If the base doesn't have it, the AI says "I don't know" — instead of making it up. End-to-end auditable.
See how Your Knowledge applies across different mid-market departments. Each area has its own documents — and each document becomes a reliable answer for the team.
Upload your contract templates and standard clauses. Your Knowledge answers about any clause, identifies deviations and suggests adjustments citing the official template.
Price tables, channel discounts, commissions and exceptions become reliable answers for sales. No more "ask in the WhatsApp group" or "check the outdated spreadsheet".
Refund policy, payment terms per supplier category, approval rules by amount. All at the finance team's fingertips, with clear source.
Vacation policy, home-office rules, benefits per level, PDP process. The AI answers with the official policy — not with conflicting interpretations by the team.
Standard operating procedures (SOPs), technical runbooks, support scripts. Operations AI answers with the updated procedure, even on night shift.
Serious RAG isn't just vectorization — it's a complete architecture combining search, rerank, governance and auditability. Here's how Synapse implements each piece.
Two-layer search: vector (semantic) + Bluey-trained reranker. 3-5× more precision than plain similarity-based RAG. Drastically reduces "similar but wrong" answers.
Every new knowledge source goes through human approval before entering the base that responds to the team. Without it, the AI does not query. Auditable per agent and user.
Add a document — the base updates in seconds. No retraining, no fine-tuning, no engineering queue. Automatic versioning: you can trace which version answered what.
Each client has an isolated instance — your base never crosses with another client's base. Never used to train Bluey or third-party models. Branches system for corporate groups with isolation between units.
Every answer cites the source passage — document, page, clickable link. If the base doesn't cover, the AI says "I don't know". End of "the AI said" without proof: complete audit.
Encryption at rest and in transit, granular access control via 113 permissions, auditable logs. Sensitive data can be marked as restricted — only authorized roles access.
What gives Synapse its strength is the integration between layers. Your Knowledge feeds the squads, is queried by the multi-LLM router and respects HitL governance.
Before answering the client, each squad queries the base — doesn't invent. Company knowledge becomes context for every squad decision.
Simple question → cheap model. Complex analysis on top of Your Knowledge → top model. The router decides which brain processes the answer found by rerank.
Human approval before source becomes answer. Audit trail per agent. 113 granular permissions. Privacy by design.