Policy data extraction

Extract stated coverage dates, limits, and deductibles from synthetic policies.

Step 01

Define and Align

Upload sample data, define your output schema, and provide feedback on the hardest cases.

Output schema
Coverage limitNumber · optional

Stated coverage limit, separate from the deductible.

DeductibleNumber · optional

Stated deductible; not provided when absent.

Effective dateDate · optional

Start of the policy coverage period. Use YYYY-MM-DD; not provided if unknown.

Expiration dateDate · optional

End of the policy coverage period. Use YYYY-MM-DD; not provided if unknown.

Property limit changedYes / No

Whether an endorsement explicitly changes the property limit.

  • true
  • false
app.sutro.sh/functions/policy-data-extraction
Collecting feedback · 1/3
Extract stated coverage dates, limits, and deductibles from synthetic policies.
Example 1 of 3

Deductible versus limit

Model input
Document excerpt
Policy schedule

Synthetic schedule: coverage limit $1m; deductible $10,000.

Model output
Coverage limit
Deductible
Effective date
Expiration date
Property limit changed

Step 02

Model Sweep

Compare quality and cost on your examples, then choose a model or use Sutro’s default.

Compare models on expert agreement and cost. The interactive chart uses illustrative measurements.

Illustrative sweep · select Value or Best to use that model in your function.

Step 03

Deployment

Call Sutro Functions like any other software. Swap the model as soon as something more performant is released.

Selected modelWaiting for sweep results.

Real-time

import sutro as so

input_data = {
    "text": "Synthetic schedule: coverage limit $1m; deductible $10,000."
}

result = so.run_function(
    "policy-data-extraction",
    input_data,
)

Batch

import sutro as so

job_id = so.batch_run_function(
    name="policy-data-extraction",
    data="policy_data_extraction.csv",
)
results = so.await_job_completion(job_id)

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