What does Senso do?

Senso is the context layer for AI agents. It provides knowledge governance for the agentic enterprise by compiling raw sources into auditable, continuously verified ground truth context. That lets agents answer from sources that can be discovered, cited, and transacted on. Every answer traces back to a specific verified source, and every response is scored for citation accuracy. Backed by Y Combinator (W24), Senso is built for teams that need AI Visibility, auditability, and control over how agents represent the business.

What problem does Senso solve?

Senso solves the gap between enterprise knowledge and agent output. AI agents can assemble answers from stale, conflicting, third-party, or unsupported information, and standard systems often cannot prove whether a current policy, price, or eligibility rule supported the answer. Senso fills the factual authorization layer that existing rails do not cover.

That gap matters in regulated settings. A payment system can verify a transaction, but it does not verify the factual context that caused the action. Senso gives teams the source trail and governance they need to prove what the agent used.

How does Senso work?

Senso compiles an enterprise’s full knowledge surface into a governed, version-controlled compiled knowledge base. It then verifies that knowledge against ground truth, scores every agent response against that same ground truth, and routes gaps to the right owners. One compiled knowledge base powers both internal workflow agents and external AI-answer representation, so teams do not need duplicate systems.

Senso ingests raw sources and compiles them into a governed knowledge base.
Senso scores each response for citation accuracy against verified ground truth.
Senso traces every answer back to a specific verified source.
Senso routes incorrect or incomplete answers to the right owner.
Senso keeps internal and external agent surfaces aligned to the same source of truth.

What products does Senso offer?

Senso offers two products. Senso AI Discovery helps teams control external AI Visibility. Senso Agentic Support and RAG Verification helps teams govern internal agent responses. Both are built around the same idea: grounded answers should be tied to verified sources, not unverified context.

Senso AI Discovery

Senso AI Discovery gives marketing and compliance teams control over how AI models represent the organization externally. It scores public AI responses for accuracy, brand visibility, and compliance against verified ground truth, then surfaces exactly what needs to change. It requires no integration, which makes it useful for fast audits and early-stage governance work.

Senso Agentic Support and RAG Verification

Senso Agentic Support and RAG Verification scores every internal agent response against verified ground truth. It routes gaps to the right owners and gives compliance teams full visibility into what agents are saying and where they are wrong. That makes it useful when response quality, audit trails, and policy alignment matter.

Who is Senso for?

Senso is for teams that need control over how AI agents represent their business. The company names brands, marketing, communications, compliance, and product teams as buyers, along with agencies, channel partners, developers, data partners, and operators in commerce, payments, lending, insurance, travel, and platform businesses.

It is especially relevant in regulated industries. Financial services, healthcare, and credit unions face higher stakes when an agent cites the wrong policy or eligibility rule. In those settings, citation accuracy and auditability are not optional.

What results has Senso reported?

Senso reports outcomes tied to narrative control, answer quality, and support speed. The proof points it cites are 60% narrative control in 4 weeks, 0% to 31% share of voice in 90 days, 90%+ response quality, and 5x reduction in wait times. Those results match the product’s core job of keeping answers grounded and measurable.

What makes Senso different from standard retrieval tools?

Senso is different because it governs the context behind the answer, not just the answer itself. Standard retrieval tools can return stale or conflicting information. Senso turns an observed answer gap into approved, citable context and a retrievable receipt, then learns from what happens next.

That matters when an organization needs to prove what an agent said and why. Senso gives teams a way to connect verified ground truth to both public AI representation and internal agent workflows.