Private AI for IDP
Cut your document processing time by 80%. Go live within 30 days.
AI agents process your messiest documents. They route them through the workflows and approvals you design, with 70% fewer touches. No data leaves your network.
Dental Claim Form
Terry Brown
Extracted
Built for the teams that move insurance and healthcare paper
Your team stops being data-entry operators.
They review only what the AI flags, approve, and move on. The routine work clears itself.
98%+
Field-level accuracy
Day one
Live with oversight, no training period
100%
Runs inside your environment
Zero
Template setup before going live
Agents that run your process. Not a generic one.
Each document passes through a chain of purpose-built agents — the same sequence a trained team would run, only at machine speed.
Triage Agent
First to see every document. Reads it, classifies it, and hands it off — in seconds.
Classifier Agent
Pins the exact type: claim, EOB, prior auth, referral, or submission before anything else runs.
Splitter Agent
Breaks apart merged PDFs, reorders scrambled pages, and removes noise before extraction.
Extractor Agent
Pulls every field from any layout, scan, or handwritten form — each with a confidence score.
Validator Agent
Reasons over the extracted data, catches anomalies, and suggests the corrected value.
Researcher Agent
Cross-checks reference data to verify details and fill gaps in any claim or submission.
SME Agent
Applies your domain rules — coverage logic, coding standards, policy terms — without a lookup.
Router Agent
Sends each case down the exact approval path your team has defined.
Reviewer Agent
Surfaces only low-confidence items to your team, pre-annotated with the reason for review.
Auditor Agent
Writes an immutable compliance trail behind every AI decision, automatically.
Your data never leaves your walls
The same accuracy as frontier models, run entirely inside your own infrastructure. Nothing is sent out, nothing is shared.
Runs in your environment
Deploy in your VPC, private cloud, or on-premise, with air-gapped options for the most regulated carriers and health plans.
No frontier-model calls
Self-hosted models do the work. No document or correction is ever sent to a third-party API or used to train anyone else's model.
Bring your own model
Plug your own classification or extraction models into the pipeline. Every step is composable, so you keep the models you already trust.
Your documents weren't born digital
They were scanned, faxed, folded, and written on by hand. Most IDP tools assume every claim form, ACORD, and loss run looks the same. But the ones that land in your inbox never do.
When your team spends its day correcting extraction errors, you haven't automated anything. You have just moved the bottleneck.
Scanned & faxed degradation
Low-resolution images, compression artifacts, skewed angles, and fold lines that break traditional OCR.
Handwritten annotations
Dates, amounts, and approvals scribbled across typed forms where templates expect nothing but printed text.
Mixed-layout bundles
Invoices, delivery receipts, and cover letters stapled together in unpredictable order.
Semi-structured variation
Every vendor, client, and subsidiary uses a different layout for the same document type.
Read it. Reason about it. Route it.
Every document runs the same path a careful analyst would. The difference is it happens in seconds, on every page, without anyone keying a thing.
Document in
Fax, email, mail
Read
OCR + layout
Reason
Schema + validate
Correct
Suggest the fix
Route
Workflow + approvals
Your system
Guidewire, Salesforce
Read any document
Scans, handwriting, mixed layouts, and semi-structured variations. No templates to configure, no rules to maintain.
Clean up messy intake
Splits merged PDFs, reassembles out-of-order pages, and de-noises faxes and scans before extraction, so even the email channel becomes usable.
Catch its own errors
It doesn’t just score a field. When the OCR reads "Br0wn," it suggests "Brown" for one-click approval. Your reviewers confirm, they don’t retype.
Plug into your workflow
Fits your existing tools and approval steps. Your team reviews exceptions in a familiar interface; high-confidence data flows straight through.
Reclaim your team's time
Every human correction makes the AI more accurate automatically. Within 30 days, human touches typically drop by 70%.
Design the workflow. We run it.
Drag the steps your process needs onto a canvas, set the approval rules, and the agents follow them. No code, no rip-and-replace.
New document
Trigger
Classify
Doc type
Extract
Fields + score
Confidence gate
Branch
Auto-approve
High confidence
Human review
Low confidence
High-confidence documents post straight to Guidewire, Salesforce, or your data warehouse. Everything else routes to a person.
One engine for every form your advisors send
Insurance and healthcare paper does not come from one place. It comes from thousands of advisors, brokers, and clinics, each with their own version. That is exactly what we built for.
Documents come from your advisors
Thousands of brokers and advisors each submit their own version of the same form. We expect that, and read all of them.
A template library per customer
We build and maintain a set of templates for each carrier and health plan you serve, so their specific forms are understood on day one.
One extractor across every variation
Our template extractor engine generalizes across layouts, so a form it has never seen still maps to the right fields with high accuracy.
Insurance Claims
FNOLs, medical bills, and adjuster reports, even when they are handwritten, multi-page, and out of order. Extract policy numbers, damages, and line-item costs with relational accuracy.
Underwriting Submissions
ACORD forms, loss runs, and supplementals from every broker. Classify the submission, normalize loss history, and populate your underwriting system automatically.
Healthcare Forms
Patient demographics, eligibility, and clinical codes from scanned intake forms, faxes, and mixed bundles, all while keeping PHI inside your environment.
From pilot to production in 30 days
A four-week path from your messiest documents to a system your team trusts. No long discovery phase, no six-month build.
Map your process
Share your existing SOP or workflow diagram. We translate it into AI-native extraction and routing logic in under a week. No rip-and-replace.
Go live with oversight
The system integrates into your stack and starts extracting immediately. Your team reviews only the exceptions through a simple interface.
Watch accuracy climb
Every correction feeds back into the model. The system learns your document patterns, advisor quirks, and edge cases, without a data science team.
Processing pipeline
Human-in-the-Loop
AI handles volume. Your team handles judgment. You choose the balance.
Exception-Only Routing
AI extracts autonomously. Humans review only low-confidence fields.
High-volume, mature workflows
Validation Checkpoint
AI processes batches. Human approves before downstream commit.
Compliance-sensitive processes
Co-Pilot Editing
AI suggests, human refines in real-time within familiar UI.
New document types, early deployment
Every correction teaches the AI to need fewer next time. Your reviewers shrink the queue instead of feeding it.
The Improvement Flywheel
Every correction makes the next extraction better.
Inline adaptation
Corrections update the AI's reasoning in real time.
Learning from edge cases
Rare variations get amplified into training scenarios, so the model sees them before they appear in production.
Continuous improvement
The system gets more accurate and more autonomous with every document processed.
No retraining cycles. No waiting for the next quarterly model release. The flywheel spins continuously.
Synthetic Data
When you need to process a form you haven't seen before, or handle edge cases too rare to collect, synthetic data bridges the gap.
Privacy-safe twins
We generate layout-faithful synthetic documents that preserve structure and variation patterns without exposing PII or PHI.
Cold-start bootstrap
Launch on new document types in days, not months, by training the model on thousands of synthetic variations before the first real document arrives.
Adversarial hardening
Deliberately generate noisy, degraded, and messy synthetic inputs to stress-test extraction accuracy before production.
Accuracy you can take to your CXO
| Domain | Field-Level | Document-Level |
|---|---|---|
| Insurance Claims (FNOL, medical bills) | 98.4% | 98.0% |
| Underwriting Submissions (ACORD, loss runs) | 98.6% | 98.1% |
| Policy Servicing (COIs, endorsements) | 98.2% | 98.0% |
| Healthcare Forms (intake, eligibility) | 98.7% | 98.3% |
Based on accuracy measured in live production environments across customer deployments, not clean, synthetic benchmarks.
Questions, answered
Traditional IDP tools need a hand-crafted template for every form layout — one vendor, one version, one template. Ours reads documents the way a trained analyst would: it understands layout, context, and meaning without being told where each field lives. New document types go live in days, not quarters.
See it work on your messiest documents
Upload a sample or test with our pre-loaded document sets. No commitment. No engineering required.