Parsewise
An AI platform for commercial insurance that turns unstructured documents into structured, traceable evidence for underwriting, claims and portfolio workflows.
An AI platform for commercial insurance that turns unstructured documents into structured, traceable evidence for underwriting, claims and portfolio workflows.
Starting price
Free
Best for
Data analysis
Free trial
✓ Free tier
Explore options
See how Parsewise compares
Parsewise is a practical fit for buyers evaluating Data analysis, Automated workflow, and #Data Extraction tools.
- What is Parsewise?
- An AI platform for commercial insurance that turns unstructured documents into structured, traceable evidence for underwriting, claims and portfolio workflows.
- Who is it for?
- Insurance underwriting teams who need to extract limits, terms, and loss data from broker submissions; better than manual review or generic OCR for source-linked policy checking and correction drafting.
- Pricing
- free · View pricing
Product information
What this product does
Parsewise is a platform focused on extracting and structuring data from complex documents, helping professional service teams save time and improve decision-making efficiency. Through automated data processing, Parsewise enables users to quickly analyze and report information, making business decisions more reliable and efficient. Its advantages include strong adaptability, high traceability, granular human control, and integrity, ensuring that every piece of output data comes from an accurate document. In terms of pricing, Parsewise offers a free trial to allow users to experience its powerful features Target Users: Parsewise is suitable for professional service teams that need fast and reliable data extraction and analysis, such as in industries like investment management, life sciences, and insurance. It helps users improve work efficiency and reduce manual processing time. Use Cases: Investment Management: Accelerate investment decision-making through automated fund portfolio evaluation.Life Sciences: Shorten time to market, accelerate production documentation and medical content review cycles.Insurance and Reinsurance: Optimize underwriting decisions by automating portfolio submission reviews. Features: Document Upload: Easily upload or sync your documents.Structure and Validation Setup: Choose an existing extraction agent or create custom validation rules.Inconsistency Resolution: The system actively asks the user for expertise to ensure data accuracy.Data Ready for Analysis: Download or sync validated data to a database in Excel format.Adaptive Learning: Extraction agents automatically adjust according to organizational expectations, improving data extraction accuracy.End-to-End Traceability: Each output can be traced back to its exact source, enhancing data transparency.Human Review: Business experts can directly review and modify data extraction logic, providing higher control.Integrity Check: The system thoroughly parses data and proactively flags issues, reducing the need for user judgment. How to Use: Step 1: Upload or sync your documents.Step 2: Choose an existing extraction agent or create your own structure and validation rules.Step 3: The system will actively ask you to resolve data inconsistencies.Step 4: Get the data ready for analysis, and choose to download or sync it to a database.Step 5: Use Parsewise for in-depth analysis and reporting.
Sourced from parsewise.ai
Works With
Platforms
- Web
- API
Problem Solved
What problem does Parsewise solve?
It's for underwriting, claims and portfolio teams at carriers, MGAs and brokers. Today they manually read broker emails, policy wordings, loss runs and bordereaux, and the information behind decisions is fragmented, inconsistent, vast and constantly changing. Parsewise's AI assistant Navi reads the whole document set, prepares submissions, checks policies, reviews complex claims and analyses portfolios, linking every finding back to its source document. For example, Navi spots that a flood limit was issued at £1m instead of the agreed £2m and drafts the correction email for your team to approve.
Company & Maker
Who built Parsewise?
- Company
- Parsewise Ltd. (parsewise.ai)
- Product
- An AI platform for commercial insurance that turns unstructured documents into structured, traceable evidence for underwriting, claims and portfolio workflows.
- HQ
- London
- Founded
- 2024
- Team size
- 2-10
- Live since
- Oct 2024
- Founders
- Maximilian Hofer - Co-founder & CEO
- Greg Csegzi - Co-founder & CTO
Some facts above are based on publicly available information and may have changed.
“We have been building the best possible platform to enable AI verifiability for high stakes decisions in insurance & financial services.”
Researched with AI · Data refreshed 8 minutes ago · How we score
Full Report Access
Unlock the verified intelligence before you decide
Parsewise is an AI document extraction and analysis platform for insurance, investment management, and life sciences teams. Its Navi assistant reads broker emails, policy wordings, loss runs, and bordereaux to prepare submissions, check policies, review claims, and analyse portfolios with source-linked outputs.
Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Investment Management: Accelerate investment decision-making through automated fund portfolio evaluation
- Life Sciences: Shorten time to market, accelerate production documentation and medical content review cycles
- Insurance and Reinsurance: Optimize underwriting decisions by automating portfolio submission reviews
- Automates submission intake by extracting broker email details, policy wordings, and loss runs into structured Excel-ready data.
- Checks policy limits against agreed terms and drafts correction emails when discrepancies like a £1m flood limit versus £2m are found.
- Reviews complex claims by parsing document sets and flagging inconsistencies for human expert resolution.
Pricing reality
Vendor stated
Free trial available; 12 price points detected on pricing page.
Actual cost
Enterprise pricing likely custom-quoted based on document volume, user seats, and integration needs.
Hidden costs
3 hidden cost warnings — unlock to view
Pricing reality
Verified Oct 2026 / Vendor pricing evidence only
Starting price
Free
Mindber only shows named plan cards when they come from linked pricing evidence. If the tier data is incomplete, this page falls back to the verified starting price instead of fabricating plan names or $0 tiers.
£1,000,000
£1,000,000
£1m
£1
£2m
£2
7
OPEN CLAIMS
£640
- Defence cost estimates revised4 files · counsel reports+£640k
- New claimants notified2 files · UK, Germany2
- Coverage questions raised2 files · wording cited2
- Over your escalation thresholdsReady for claims committee3
- Pattern across the bookLowfield Architects and two other open files name the same contractor and allege the same defect.
What pricing pages often hide
True cost for your case
LIVE ESTIMATEEstimated spend
--Starting price has not been verified from a linked pricing source yet.
Compare this product in-line
Start with a suggested alternative or type another tool to jump into a side-by-side comparison.
Engagement signals (30d)
Based on 6 linked public signals.
Mindber Activity Score™
Score locked
HOW THIS TOOL SCORES
Scores compare this tool with 13 similar tools in Data analysis. Use it to judge Innovation and Capability before you shortlist.
Innovation Index™
Is it new, different, and easy to understand?
Functionality Score™
Does it cover the jobs buyers expect, and can it keep up?
Data sources
Traffic & search proof
Public view keeps the ratio story. Paid view unlocks exact monthly visits, full region coverage, and CPC-level keyword intelligence.
Latest traffic snapshot
Monthly visits
5.4K
Avg visit duration
00:00:13
Pages per visit
1.55
Bounce rate
48.72%
Traffic trend
Month-by-month visits from linked public traffic evidence.
Geography
Top regions
Exact monthly traffic is paid-only. Public view keeps percent share only.
Traffic sources
Source mix snapshot
Public view keeps the ratio snapshot. Minor channels stay behind the paid view.
FAQ
Only linked Q and A rows are shown. Empty FAQ data stays hidden.
Social mentions
Only linked public mention evidence is shown here.
Sources and methodology
Only evidence with a linked source record or explicit feature provenance is shown here. Data without provenance stays off the page.
COMMUNITY CREDITS
Have you used Parsewise? Earn credits.
Verified contributions help the page stay honest. The wider member action set still lives in your dashboard so the public page stays focused on the two highest-signal workflows.
Write a verified review (200+ words) → earn 1 credit
Share the setup context, what worked, and what broke. Mindber rewards specific, evidence-backed reviews instead of one-line praise.
Write verified reviewSpot incorrect data? Submit a correction → earn 1 credit
Flag stale pricing, wrong traffic signals, or broken links and the editorial team will re-verify the record.
Submit correctionMaker access, comments, ratings, and verification requests remain available inyour dashboard.
Community audits
Member opinion — not a Mindber assessment
Be the first to audit Parsewise
No member audits yet. Rate it from 1 to 5 and share what worked and what didn't.