Upload PDFs, manuals, contracts, and spreadsheets. Synapse organizes, indexes, and answers based on your real documents, always citing the source. The proprietary rerank makes sure the right answer ends up on top — not the one that merely looks most like the question.
Four steps, with a person in control of the second. Nothing enters the base without someone approving it.
PDF, DOCX, XLSX, CSV, document images. Drag them onto the screen or connect the folder and the system you already use.
Splitting into chunks, metadata extraction, and indexing. Before anything counts toward answers, a person approves what came in.
Semantic search retrieves candidates; the proprietary rerank reorders them by what actually answers the question.
Every answer comes with document and page. If the source doesn't support the answer, the application says it doesn't know.
The retrieved chunks appear with their search score and their score after the rerank. That reordering is what changes the result.
Each company has its own, isolated. Documents, spreadsheets, databases, and systems feed the same base — so every application understands the business the same way.
The second search layer reorders candidates by real relevance to the question. It's where the 3–5× precision gain over a plain RAG comes from.
When no chunk supports the answer, the application says it didn't find one and opens a path to a person. We prefer that over a well-written wrong answer.
A new price table, a revised policy, a signed contract: it enters the base and starts counting in the answers that follow, with the old version preserved in the history.
Whoever can't see the document doesn't get an answer based on it. Permission applies at the source, not just on screen.
Nothing that enters your base is used to train third-party models. For sensitive content, the query can stay restricted to your environment.
In the technical demo we upload your files, ask the questions your team asks every day, and show the citation behind every answer.