Know what your
evidence actually proves.
Tracekind AI connects supplier records, commercial data and marketing claims into a single evidence-intelligence layer, detecting gaps, contradictions and unsupported claims before they become commercial or compliance risks.
The Verification Tax
UK SMEs spend 3-5 hours a week chasing suppliers for evidence (Tracekind SME Evidence Survey 2026, n=180). This fragmented supplier evidence, trapped in WhatsApps and PDFs, makes it incredibly difficult to substantiate marketing claims, leading to time lost and increasing buyer and compliance pressure.
- Fragmented, informal supplier records.
- Hundreds of hours lost chasing proof manually.
- Rising pressure from wholesale buyers & regulators.
What Tracekind AI does
Converts Claims
Translates your public marketing claims into specific, actionable evidence requirements.
Links Evidence
Connects fragmented WhatsApp messages, PDFs, and invoices directly to the product batch.
Detects Contradictions
Scans across all linked documents to surface hidden conflicts before they become a liability.
Scores Strength
Calculates a confidence score indicating whether the evidence adequately substantiates the claim.
How it works
Ingest
Connect and ingest data from your internal systems and external sources.
Structure
AI models normalize and structure records into a unified evidence layer.
Verify
We test claims against evidence, detect issues and assess confidence.
Act
Get recommendations, track remediation and prove what's true.
The Ethical ProofGraph
Our proprietary architecture doesn't just store documents. It extracts entities, connects claims to raw evidence, and runs contradiction detection across your entire batch history.
Explore the TechnologyDetecting hidden compliance risks
You might hold a supplier declaration stating your packaging is plastic-free. But what if a casual WhatsApp message from that same supplier contradicts it? Tracekind AI finds these conflicts before they become a legal liability.
- Marketing Claim: "100% Plastic-Free Packaging"
- Supplier Evidence: Signed packaging spec sheet (Looks good)
- Detected Conflict: WhatsApp message: "Had to use regular tape for this batch"
"Hi, we ran out of the paper tape so we had to use regular tape for this batch (#SS26-004). Hope that's okay."
Pause "100% Plastic-Free" marketing for Batch #SS26-004. Contact supplier to verify tape material.
One evidence layer across the business
Tracekind AI breaks down silos, creating a unified intelligence layer that connects financial data, raw supplier communications, and your public-facing marketing.
Commercial Records
Invoices & POs via Xero/Shopify
Supply-Chain Evidence
WhatsApps, PDFs & declarations
Ethical ProofGraph
Linked evidence & conflict detection
Public Claims
Substantiated marketing & ESG
Built for SME reality, not enterprise ERPs
Most traceability platforms are built for enterprise ERPs, meaning inaccessible pricing and a heavy integration burden. They assume perfectly structured data. Tracekind AI is uniquely designed for the messy, informal evidence systems of independent brands.
- Proprietary SME Sourcing Evidence Ontology built from real UK SME supplier evidence, not enterprise ERP schemas.
- Batch Level Ethical Proof Graph and Cross Document Ethical Contradiction Detection to handle unstructured reality.
- Built specifically for the informal workflows (WhatsApp, photos, PDFs) of founder led businesses.
The changing legal landscape
"Claims must be backed up by robust, credible, and up-to-date evidence... Businesses must hold the evidence to support their claims before they make them."
Read GOV.UK GuidanceThe Digital Markets, Competition and Consumers (DMCC) Act grants the CMA enhanced enforcement powers, including the ability to levy direct fines of up to 10% of global turnover for misleading environmental claims. Tracekind AI is structured for compliance review and evidence substantiation in this new era.
The Year 1 Founding Pilot
Who is it for?
Applications are open for 8 to 12 UK independent fashion and lifestyle brands dealing with complex, informal supplier records.
Duration & Cost
6 month structured engagement. Access to the platform is provided at early stage pilot rates, which are significantly below the indicative post pilot pricing.
What you receive
- Early access to the AI Evidence Engine
- Hands on onboarding & data structuring
- Direct input into the product roadmap
What we measure
Our primary pilot target is demonstrating an up to 45% reduction in manual evidence management time, alongside improved substantiation metrics.
Explore the prototypeThe Founder Story
Tracekind AI was born from the intersection of first-hand SME sourcing frustration and rigorous government regulatory experience.
As the founder of Bhavi Arts, a rapidly scaling women-led brand, Bhavi Poladia experienced the "Verification Tax" firsthand. Managing complex supply chains across multiple continents meant relying on fragmented WhatsApp messages and scattered PDFs to substantiate claims to wholesale buyers.
She later took on a role at HM Revenue & Customs (HMRC), gaining deep exposure to strict regulatory compliance, audit frameworks, and evidential rigour.