Enterprise-Grade Submission Intake. Tailored to Your Operation in Days.

Built for MGAs, wholesale brokers, and underwriting teams. Cazimir turns messy submission packages — ACORDs, SOVs, loss runs — into structured, evidence-linked data, configured to your brokers and your schema in days. No IT project. No enterprise overhead.

The Problem

The Insurance Industry Is Losing Its Memory

Half of the insurance workforce will retire in the next 15 years. When they leave, they take decades of underwriting judgment with them — how to read a broker’s formatting quirks, which SOV columns actually matter, what a “good” submission looks like versus a bad one.

Meanwhile, the work keeps piling up:

  • Reviewing the same document types thousands of times a year
  • Re-entering information that already exists in another form
  • Chasing missing data that a senior underwriter would have caught immediately
  • Correcting the same extraction errors submission after submission

Most organizations solve this by hiring more people into a shrinking labor pool.
Enterprise AI vendors solve it with months-long implementations and price tags built for Fortune 500 IT budgets.
Neither approach works for agile teams.

The Cazimir Approach

Intelligence That Compounds. Not Automation That Degrades.

Cazimir is a Learning Insurance Operations Platform. Every submission your team processes — every correction, every validation, every decision — trains the system to be better on the next one.

Other tools extract data. Cazimir builds knowledge.

  • Your 100th submission processes faster than your 10th.
  • Your team’s corrections become the system’s intelligence.
  • Broker-specific formatting is learned once, applied forever.
  • Institutional expertise is captured inside the platform — not lost to retirement.

The result: a system that becomes your organization’s underwriting memory — compounding in value every day it’s used.

How It Works

1

Upload

Submission packages, ACORD forms, SOVs, loss runs, spreadsheets, supplementals — any format, any broker, any level of quality.

2

Extract & Structure

Cazimir classifies documents, extracts underwriting data, scores confidence, and flags gaps — all with full evidence traceability back to the source page.

3

Review & Correct

Your team validates results, corrects where needed, and resolves flagged inconsistencies. Every correction is a training signal.

4

Learn & Improve

The platform remembers. Broker patterns, formatting conventions, field preferences, and correction history all feed forward — making the next submission faster and more accurate.

Submission 1 takes minutes. Submission 100 takes seconds.

Radical Transparency: Your Rules, Your Intelligence.

Every extracted field links directly to its source document and page. No black boxes. No hallucinated values. No hidden assumptions.

Some platforms go further than extraction — they triage submissions, score risk, and make recommendations inside the tool. That means their AI is making underwriting judgments on your behalf, with no audit trail for how it got there. Cazimir does not do this. We structure your data and surface what’s missing. The underwriting decision stays with your underwriter.

When regulators ask how a data point was produced, you have a one-click audit trail to the source page. When your team corrects an extraction, that correction trains the system directly — no ticket to a vendor’s ML team, no waiting for their next model release. Your senior underwriters control the learning loop. Transparent. Auditable. Yours.

Built For

Lloyd’s & London Market

Process complex specialty submissions at London Market speed. Handle the volume and variety that specialty lines demand without adding operational overhead.

Insurance Agencies

Handle growing submission volume without growing administrative overhead.

Why Cazimir Is Different

Traditional Automation (RPA / Template-Based)

  • Extracts data the same way every time
  • Breaks when formats change
  • Requires technical reprogramming
  • Fixed productivity gain — never improves
  • Generic — same for every client

Pre-Trained AI Platforms

  • Vendor controls the model — you file tickets to improve it
  • “Pre-trained” means shared with every other customer
  • Deploys in weeks with forward-deployed engineers
  • Makes underwriting judgments inside the tool
  • Full-stack lock-in: intake, triage, decisioning bundled together

Cazimir

  • Your team controls the learning loop through corrections
  • Your intelligence stays private to your organization
  • Configured to your operation in days — founder-led, no handoffs
  • Extracts and structures data — leaves underwriting decisions to underwriters
  • Does one thing exceptionally well: submission intake
  • Compounds in value over time — Submission 100 is faster than Submission 10

Bring Your Messiest Submission Package (U.S. and London Market)

Book a 20-minute working session and we’ll process your actual submissions live — not a canned demo. You’ll see your own documents structured, evidence-linked, and ready for underwriting before the call ends.

Founder-led onboarding means we only take on 5 new teams per quarter.

What you walk away with:

  1. Your own submission documents processed and structured live
  2. A measurable accuracy report on your real document types
  3. A configuration plan tailored to your brokers, formats, and schema
  4. Direct access to the founding team — no account managers, no ticket queues
  5. Founding-partner pricing locked in for teams that start this quarter

Contact: [email protected]