United Kingdom
Brokers record each client's demands and needs and recommend cover that is consistent with them (FCA ICOBS). A comparison that only lists premiums doesn't show whether the cover fits those needs.
Parsewise reads every commercial insurance offer with its policy conditions, captures the features you compare for the line of business and rates each coverage module. Every value links to the passage it came from.
SOC 2 Type II, no training on your data, deployable in your own cloud
Hail: deductible 1,000 EUR
Each line of business has a fixed set of features: premium, sum insured, deductible, aggregate limit and every coverage module. Parsewise captures them from the offer and its policy conditions and rates each module against the main cover.
Your platform sends the offer and its policy conditions with the feature schema for the line. A webhook tells you when the run has finished. The values come back in your schema, each with a status and a link to the passage it came from.
Your platform
Results in your schema
{
"premium": 1840,
"deductible": 1000,
"hail": "restricted",
"hail_consistency": "Resolved",
"hail_parsewise_url": "…"
}The obvious routes are to build it yourself or to combine OCR, extraction tools and LLM calls. Both work for a while, then run into the same problems:
Brokers record each client's demands and needs and recommend cover that is consistent with them (FCA ICOBS). A comparison that only lists premiums doesn't show whether the cover fits those needs.
Failing to place the cover a client asked for is a common source of errors and omissions claims against agencies. If a comparison misses a sub-limit, the agency carries that risk.
We start with your lines of business, offers and policy conditions, not a long IT project.
Results go straight into your comparison or tender platform through the API.
Every value and rating links to the passage in the offer or the policy conditions.
When a reviewer corrects a rating, later offers are read with that correction.

Thinksurance places commercial insurance in Germany, with nearly 200,000 insurer quote requests a year. Its teams use Parsewise to extract the same product features from every offer and rate each coverage module against the main cover. It went live within weeks and is now part of Thinksurance's tender process.
Read the Thinksurance storyIndependently audited. The report is available under NDA.
Your offers and policy conditions are never used to train models.
Run on Parsewise cloud or inside your own VPC on AWS, Azure or Google Cloud.
Processing follows the EU and UK GDPR.
We'll show you on your own offers how Parsewise captures the features and rates each module.
Pick a time that suits you. You add your name and email when you book. Calendar not loading? Open the booking page.
Prefer email? sales@parsewise.ai
Rather see results on your own offers before a call?