aspireclaims & close

Claims that fill themselves · For every employee and approver

Scan a receipt, approve it in one look

The problem today
Employees type every receipt into a form; approvers wade through every claim to find the few that need a decision.
What it does
A model reads the receipt into the claim and matches it to the card line. Policy checks run in code, so the approver sees only the claims that need a decision, with the reason.
What you see
Two phones: the claim filling itself in, then the approver's one-line view. Flip the model under them to compare.

Internal benchmark on synthetic data · run run-20261022172600-test · receipts in the test split

Fastest on this run: Mid-tier frontier. Lowest cost per claim: Low-cost frontier. Most claims right on every field: Mid-tier frontier.

Show figures for each model
  • Dvar small model

    Every field right
    149 of 159
    Median time to fill
    2.48 s
    Model cost per claim
    $0.00040
  • Low-cost frontier

    Every field right
    149 of 159
    Median time to fill
    727 ms
    Model cost per claim
    $0.00023
  • Mid-tier frontier

    Every field right
    150 of 159
    Median time to fill
    541 ms
    Model cost per claim
    $0.0055

Internal benchmark on synthetic data · run run-20261022172600-test · 2026-10-22 · 3 models, same instruction

Employee: Tsz Hin Leung
New expense claimaspire
GOLDEN LANTERN RESTAURANT LIMITED
2 Bay Pde
#04-23  Hong Kong
Date: 2026-10-07  22:14
Pax: 4
------------------------------
Steamed fish       824.09
Fried  rice         569.83
Dim sum basket     456.08
------------------------
T0TAL HKD         1850.00
Paid: VISA ****7430
Thank you!

Note: Team dinner, 4 people, end of sprint

Behind the answer

Model
dvar:glm-5.3-flash
Time
—
Cost per claim
—
Scorer
Press the button above

Press Scan receipt, then flip the model to compare. The fields fill at the speed each model replied in the frozen run, with the wait cut to 3.50 s; the measured time is shown under the claim and here.

Run run-20261022172600-test, 2026-10-22. Same instruction for every model, temperature 0. Cost is from tokens and list prices.