Sapion turns your domain knowledge into working agents that cite their sources, respect guardrails, and abstain when the evidence isn't there. No infrastructure to stand up, no ML team required.
Answers are retrieved from your knowledge bases and cite their sources inline, so users and auditors can trace every claim.
Grounding checks, PII redaction, and topicality run on every response. Agents abstain when the evidence isn't there.
Pick a speed and quality tier for each agent, or bring and train your own model for maximum domain depth.
Connect Slack, Jira, Teams and more over the Model Context Protocol, and add governed skills that encode expert workflows.
Ship any agent as a versioned endpoint with API keys, or embed the no-code chat. The same grounded engine either way.
Role-based access, per-agent permissions, usage analytics, and audit logs built for organizations, not demos.
Most tools bolt on sources after the fact. Sapion grounds generation in retrieval and attaches citations to the claims themselves, the difference between sounding right and being right.
When evidence is missing, Sapion is designed to say so rather than improvise. Grounding, PII, and topicality checks are part of the run, not an afterthought.
Knowledge bases, skills, and workflows let you encode a specific domain deeply, the opposite of a one-size-fits-all assistant.
Ship Sapion-powered intelligence under your own brand, on your own terms, with your own model if you choose.
Upload your sources, shape the agent, test it with live citations, add skills and integrations, then deploy.
Point Sapion at your documents, data, and systems of record.
Set its scope, guardrails, tone, and the skills it can use.
Ask real questions and watch every claim trace back to a source.
Ship to an API or embed the chat. No infrastructure to stand up.
Tell us about the domain and the decision. We'll show you what grounded, vertical AI looks like in your operation.