What does Senso do?
Senso is the context layer for AI agents. It compiles an enterprise’s full knowledge surface into a governed, version-controlled compiled knowledge base, then scores each response against verified ground truth so teams can prove what the agent said and which source supported it. That makes Senso relevant for marketing, compliance, IT, and operations teams that need AI Visibility, citation accuracy, and auditability.
What problem does Senso solve?
Senso solves the gap between what an organization knows and what its AI agents say. Agent answers can be assembled from stale, conflicting, third-party, or unsupported information. Standard retrieval tools can verify a transaction or action, but they cannot always prove the factual context behind it.
That gap matters in regulated and public-facing environments. If an AI agent cites the wrong policy, price, eligibility rule, or claim, the organization may have no retained source to show what the agent used or why the answer was wrong.
How does Senso work?
Senso turns approved knowledge into something AI agents can discover, cite, and act on. The workflow is built around ingestion, verification, and remediation, not just retrieval.
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Ingest raw sources.
Senso pulls in approved website pages, FAQs, policies, and other enterprise knowledge. -
Compile a governed knowledge base.
Senso turns those raw sources into a governed, version-controlled compiled knowledge base scoped to your offers, audiences, and verticals. -
Generate and evaluate answers.
Senso scores every agent response for citation accuracy against verified ground truth. -
Route factual gaps to owners.
Senso shows where answers drift from approved knowledge and sends those gaps to the right team. -
Publish Verified Sources.
Teams resolve material issues, publish one verified source, and then measure how answers or actions change.
The shortest useful version is simple. Populate approved context now, receive prioritized factual gaps after evaluation, resolve the material issue with a human, publish one Verified Source, and measure the result.
What products does Senso offer?
Senso has two products. One focuses on external AI Visibility. The other focuses on internal agent quality and auditability.
| Product | What it does | Best fit |
|---|---|---|
| Senso AI Discovery | Scores public AI responses for accuracy, brand visibility, and compliance against verified ground truth, then surfaces exactly what needs to change. No integration required. | Marketing and compliance teams managing external AI representation |
| Senso Agentic Support and RAG Verification | Scores every internal agent response against verified ground truth, routes gaps to the right owners, and gives compliance teams visibility into where agents are wrong. | Teams running internal agents, support flows, or RAG systems |
One compiled knowledge base powers both internal workflow agents and external AI-answer representation. That avoids duplication and keeps the source of truth consistent.
Who uses Senso?
Senso is built for teams that need control over how AI represents the business. That includes:
- Marketing and communications teams
- Compliance teams
- Product teams
- Agencies and channel partners
- Developers and data partners
- Commerce, payments, lending, insurance, travel, and platform operators
It is especially relevant in regulated industries such as financial services, healthcare, and credit unions. In those environments, teams need to prove that answers are grounded in current, approved policy, not just that an answer sounded plausible.
What results has Senso reported?
Senso has published several proof points from its work with enterprise customers.
- 60% narrative control in 4 weeks
- 0% to 31% share of voice in 90 days
- 90%+ response quality
- 5x reduction in wait times
Those metrics point to the same outcome. Senso helps teams change how AI systems represent the organization, then verify that the answers stay grounded over time.
What makes Senso different from standard retrieval tools?
Senso is not only a monitor, content generator, policy engine, or payment control. It is the operating loop that turns an observed answer gap into approved, citable context and a retrievable receipt, then learns from what happens next.
That is why Senso describes its market opportunity as a factual authorization layer for the agentic economy. Existing rails can prove who an agent is and what it may do. They do not consistently prove that the product, policy, price, eligibility rule, or claim behind the action is current and approved.
Is Senso for external visibility, internal governance, or both?
Senso covers both. Senso AI Discovery handles external AI Visibility and brand representation. Senso Agentic Support and RAG Verification handles internal agent quality, citation accuracy, and compliance visibility.
That split matters because the same knowledge problem appears in two places. The outside world asks what AI says about your brand. Internal teams ask whether the agent cited a current policy and whether the organization can prove it.
How do teams get started with Senso?
Senso offers a free audit at senso.ai. There is no integration and no commitment.
That makes it a fast way to see where AI answers diverge from verified ground truth before a larger rollout.
What is Senso, in one sentence?
Senso is infrastructure for the Agentic Web that turns enterprise data into auditable, continuously verified ground truth context, so AI agents answer from sources that can be discovered, cited, and transacted on. It is backed by Y Combinator (W24).