Product intelligence for agentic models

For health & wellness retail and brand teams building AI that shoppers can actually trust.

Built for teams who want to turn ingredient information, certificates of analysis, backing evidence, claims and channel consistency into structured feeds that make every AI recommendation trustworthy.

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Backed by Techstars Spring '26 Innosuisse

Independent ingredient information Claim-eligibility check Heavy metal & purity checks Omnichannel data consistency Instant API feeds Independent ingredient information Claim-eligibility check Heavy metal & purity checks Omnichannel data consistency Instant API feeds

Why this matters

Shoppers change how they search. Product data needs to adapt.

Consumers are asking AI which health products to buy. But standard data feeds were built for basic catalog pages, not product proof.

1 in 3

SKUs contradict.* Product claims disagree across labels, websites, and channels.

<10%

Machine-readable. Independent lab tests and CoAs are locked in PDFs your AI can't read.

500,000+

Evolving rules. Ingredients, dose, and claim standards shift constantly across jurisdictions.

*result of Kensai's consistency check

The problem

Every question your AI-assistant can't answer is a customer who looks somewhere else.

Some of what a customer asks sits in your PIM. Most of it stays trapped in supplier PDFs or was never captured at all. Here is where unverified data breaks your AI:

“Which product uses the studied dose?”

Informed clients are looking for science-backed answers that go beyond basic label-information.

“Which product is tested for heavy metals?”

Standard AI can't tell a full 4-metal lab panel apart from a single mercury check.

“Show me a product without artificial sweetener”

Standard AI skips products unless the specific attribute is explicitly tagged in your PIM.

“Is this third-party certified?”

Trustworthy answers need regular fact-checks if this statement still holds true.

What Kensai does

We verify the proof behind every product, and keep it current.

We verify, structure and syndicate your product information to superpower your teams and your AI models.

Collect

We pull labels, CoAs, supplier docs, clinical studies, and market rules into one place.

Verify & Enrich

We verify every claim against proof and enrich ingredients with attributes backed by clinical studies.

Syndicate

We deliver clean, source-linked product intelligence via API directly to your AI assistant, search engines, and chatbots.

Keep current

As certificates expire or regulations shift, we automatically update the layer so your AI never runs on stale data.

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Who uses Kensai

For the people accountable for what the AI-assistant delivers.

Data teams

Every fact traceable to the document it came from. Regulatory review reduced to exceptions.

Ecommerce teams

Pack, website, marketplace and feed are checked for consistency, across markets.

AI teams

Facts your assistant can stand behind. You keep the model and the experience.

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The outcomes

More of your catalogue, answered properly.

More of your catalogue gets recommended

Fewer products skipped because nothing could confirm what's in them

We spent years wishing this existed.

Karina Valencia

Co-Founder

Karina has spent 18 years moving fast across borders under real pressure. 3× scale-up operator who directed market entries at Palantir in the run-up to IPO and managed an $11M CPG portfolio at P&G.

Dr. Leonie Bode

Co-Founder

Medical doctor and founder of Switzerland's first venture-backed longevity clinic. At Kensai, she leads the science and regulatory intelligence layer to navigate regulation across consumer health.

Team background