Spot exclusions, sub-limits and coverage gaps before signing. First analysis in 90 seconds.
Detected a € 50,000 sub-limit for losses other than business interruption, and exclusion of dismantling and reassembly costs.
The request is always the same: "a quote, a comparison." The real goal is different: never ending up with a coverage gap that costs you dearly. An exclusion you didn't notice, or an overlooked sub-limit, is not a technical detail: when a claim arises it turns into a coverage gap — and it can become a dispute on your shoulders. Generic tools read keywords, but they don't grasp how limits, deductibles and exclusions interact with one another.
"Pure Financial Loss"
Not a summary: an analysis. Here is how Insurance-Lab reads a single coverage — strengths and weaknesses, claim scenario, market benchmark and regulatory references.
A structured process to assist contract review, phase by phase.
The system processes the policy text to identify the key data, including changes made after the contract was issued.
Comparison tables between the in-force policy, renewal and quotes, to highlight regulatory changes and coverage updates.
Support in claim handling, cross-referencing the notice data with the contract text.
Notification deadline: 3 days from becoming aware of the event.
Models calibrated to the specifics of the different insurance lines.
You upload the policy.
Automatic OCR and parsing of the document.
Tools to anonymize sensitive data.
Processing with advanced models.
A structured document, ready to export.
Matching the three goals of your work: time back in your hands, professional risk going down, negotiations won on expertise.
Reading a corporate policy costs hours. Here limits, coverages and exclusions arrive extracted in about 90 seconds: what's left to you is the part that counts — reading, deciding, advising.
Hidden exclusions and sub-limits are flagged before signing, not after the loss: less risk of professional liability (E&O) disputes for your firm.
A clear clause-by-clause comparison across policies and quotes: you walk in with an analysis no competitor brings, and the negotiation stops being a race to the lowest premium.
Technology does not replace the intermediary, it empowers them. Insurance Lab speeds up the reading of policies and special conditions, leaving the professional what truly matters: advice and the client relationship. — The Insurance Lab team
Security is not an add-on feature: it is the foundation the entire system is built on
Tools to mask sensitive data. You decide what to anonymize before processing.
Servers in Europe (Oracle Cloud). AI processing via Vertex AI, with transfers governed by EU standard contractual clauses.
The original PDFs are deleted after processing. We do not train models on your data.
Full compliance with EU Regulation 2016/679. DPA available on request.
The AI reads, extracts and compares documents: it doesn't decide. Every report is support material the professional reviews and validates — the last word always stays human, as insurance distribution rules require.
Every analysis follows a privacy-first pipeline: sensitive-data masking before anything reaches the model, processing on European infrastructure, file deletion when the work is done. Control over what gets shared stays with you.
Three monthly credit-based plans, with no annual commitment. An in-depth analysis costs 2 credits; a coverage gap discovered at claim time has no price list.
To get started, on your first clients.
For the firm working at full pace.
Variable costs. The included credits and prices may be updated based on the costs of AI service providers, with reasonable advance notice. Unused credits remain available for as long as the subscription is active.
You don't have to take our word for it: send us a real policy and we'll analyze it together, no strings attached. If the report shows you nothing you hadn't already seen, it ends there. If it does, you've just measured what it's worth.
Uploaded PDFs are deleted right after the analysis, and the generated reports are stored encrypted. We do not keep permanent copies of the documents nor use them to train models; data stays on servers in the EU, in compliance with the GDPR. Masking tools are also available to anonymize data before upload.
Yes. LLMs reason on a probabilistic, not deterministic, basis: completely eliminating the margin of error is technically impossible. That is why Insurance Lab is a support tool — it saves hours and flags critical points, but the review and the final decision stay with the professional.
We issue a proper Italian invoice. We accept card payments via Stripe. You can choose monthly or annual billing (two months included).
Yes — and it's a question you should ask anyone offering you AI. In Insurance-Lab the AI reads, extracts and compares documents: it makes no automated decisions about the client. Every output is support material the professional reviews and validates — the human remains the sole decision-maker. On top of that, the privacy pipeline: masking before the model, no training on your data, EU servers.
A generic model reads the text you give it and summarizes. Insurance-Lab works on catalogs built line by line — 18 insurance lines, over 350 modeled clauses — and checks the policy item by item: limits, deductibles, exclusions, sub-limits and how they interact. Plus: built-in sensitive-data masking and structured reports designed for professional use, from policy comparison to claim pre-analysis.
It depends on the file: a corporate policy with special conditions takes hours to read. The first analysis arrives in about 90 seconds and the report takes you straight to the critical points. The most honest answer is the proof: send us one of your policies and measure the difference on your real workflow.
Send us a policy and we'll analyze it together, to assess the real impact on your workflow.