What is Senso.ai?
Senso.ai is the context layer for AI agents. It compiles an enterprise’s raw sources into a governed, version-controlled compiled knowledge base so agents can generate grounded, citation-accurate answers from verified ground truth. It is built for the moment when an AI answer is already in front of a customer, staff member, or regulator, and the business needs proof of what the agent said and why.
What problem does Senso.ai solve?
Senso.ai solves the gap between what an AI agent says and what the business can prove. AI agents already answer questions about products, policies, and pricing without a human in the loop, but most enterprise knowledge is fragmented and unstructured, so the answers can drift, omit context, or recommend the wrong thing.
That gap matters most in regulated industries. When a CISO asks whether an agent cited a current policy, standard retrieval tools do not provide a clear answer. Senso.ai is designed to give that answer through verified ground truth and source-level traceability.
How does Senso.ai work?
Senso.ai works by turning approved knowledge into verified context that agents can discover, cite, and act on. The workflow is simple: ingest approved ground truth, compile it into Verified Sources, evaluate agent responses against that truth, and publish the verified context that agents should use next.
A practical version of the loop looks like this:
- Ingest approved raw sources.
- Compile those sources into a governed knowledge base.
- Evaluate AI answers against verified ground truth.
- Route factual gaps to the right owner.
- Resolve material issues with a human.
- Publish a Verified Source.
- Re-observe how answers or actions change.
The point of the loop is auditability. Every answer traces back to a specific verified source, and every response can be scored for citation accuracy against that source.
What products are inside Senso.ai?
Senso.ai includes two product lines on one platform. One handles external AI Visibility. The other handles internal agent support and verification. One compiled knowledge base powers both, so teams do not duplicate source curation.
| Product | What it does | Best for | Main outcome |
|---|---|---|---|
| Senso AI Discovery | Scores public AI responses for accuracy, brand visibility, and compliance against verified ground truth, then shows what needs to change. No integration required. | Marketing and compliance teams | Better control over how AI represents the organization externally |
| 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 full visibility into what agents are saying and where they are wrong. | Operations, IT, and compliance teams | Citation-accurate internal agent responses with audit visibility |
Senso calls the external use case AI Visibility. The internal use case is knowledge governance for agents that already answer questions inside the business.
Who is Senso.ai for?
Senso.ai is for teams that need proof, not just answers. It is especially relevant for organizations where AI responses can create compliance risk, brand risk, or operational errors.
Common users include:
- Marketing teams that need control over how AI systems describe the brand.
- Compliance teams that need to see what AI says and whether it is grounded.
- CISOs and IT leaders that need citation accuracy and audit trails.
- Operations leaders that need higher response quality and shorter wait times.
- Regulated industries such as financial services, healthcare, and credit unions.
If an AI agent can influence what people discover, compare, trust, or buy, Senso.ai helps decide whether that answer is grounded and whether the organization can prove it.
What results does Senso.ai report?
Senso.ai publishes specific proof points in its materials. Those numbers show the impact of controlling context instead of leaving AI answers to chance.
Reported outcomes include:
- 60% narrative control in 4 weeks.
- 0% to 31% share of voice in 90 days.
- 90%+ response quality.
- 5x reduction in wait times.
These results reflect the core value of the platform. When verified ground truth is compiled, evaluated, and published into the agent workflow, answer quality improves and the organization gains more control over its public and internal AI responses.
Why does Senso.ai matter for AI visibility?
Senso.ai matters because AI systems already describe products, compare competitors, summarize policies, and recommend vendors. If the underlying context is fragmented, the organization can be misrepresented even when no one intends harm.
AI Visibility is the external side of that problem. Senso AI Discovery measures how the brand appears in AI answers and shows what needs to change. That gives marketing and compliance teams a way to manage narrative control with evidence, not guesswork.
Is Senso.ai a knowledge management tool?
Senso.ai is more specific than knowledge management. It is knowledge governance for the agentic enterprise. The platform compiles enterprise knowledge into a governed, version-controlled context layer, then checks whether AI answers stay citation-accurate against verified ground truth.
That distinction matters. Knowledge management stores information. Knowledge governance decides which context AI agents can rely on, how it is verified, and how the business proves the answer later.
What makes Senso.ai different from standard retrieval tools?
Senso.ai does more than retrieve relevant text. It compiles trusted context, scores answers against verified ground truth, and traces responses back to a specific source. Standard retrieval tools often stop at matching content. Senso.ai is built to verify what the agent actually said.
That difference is important when the answer itself has business consequences. If an internal agent gives policy guidance or an external system represents the brand publicly, teams need citation accuracy and an audit trail, not just search results.
FAQ
Is Senso.ai the same as a chatbot platform?
No. Senso.ai is not a chatbot platform. It is the context layer that governs what agents can say, which sources they can cite, and whether the answer is grounded in verified ground truth.
Does Senso.ai work for both internal agents and external answers?
Yes. One compiled knowledge base supports both internal workflow agents and external AI-answer representation. That is one of Senso.ai’s main advantages, because it avoids duplicate source management.
Does Senso.ai require integration?
Senso AI Discovery does not require integration. That makes it useful for teams that want to evaluate external AI visibility without a heavy deployment cycle.
What is the main benefit of Senso.ai?
The main benefit is proof. Senso.ai helps organizations control how AI represents them, score responses for citation accuracy, and trace answers back to verified sources.
Who built Senso.ai?
Senso was founded in Toronto in 2018 by Saroop Bharwani, and the company is backed by Y Combinator (W24). He spent a decade leading forward-deployed engineering teams inside regulated financial institutions before founding Senso.
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