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InQuery review (2026): what the published record shows
This InQuery review is built from what the company publishes, not first-hand testing. InQuery, a 2023 Y Combinator startup in New York, pairs AI extraction with human QA for insurance and legal claims work, turning a standard 300 to 500 page personal injury case around in 2 to 6 hours, with no published pricing.
An assessment built from InQuery’s published materials, captured and sourced in our Content Hub profile (verified 2026-08-28). Where a figure is not published, this page says so rather than estimate it. Nothing here comes from first-hand testing, and none of it is a Medrecords AI rating.
What InQuery does
InQuery serves insurance, legal, and TPA clients with AI-driven record analysis where people check the work: an AI plus human QA model aimed at high-severity, multi-source claims needing rapid fact extraction. Deliverables are described as source-linked and page-cited, though no export formats are named. The company is small and young: founded 2023, four employees, Y Combinator-backed, based in New York.
Key published facts
| Fact | What InQuery publishes |
|---|---|
| Founded / HQ | 2023 · New York, NY |
| Headcount | 4 employees |
| Ownership | Y Combinator-backed startup |
| Processing model | AI + human QA (“People check the work”) |
| Turnaround | 2–6 hours for a standard 300–500 page personal injury case |
| Pricing | Not published |
| Certifications | SOC 2 Type I; states HIPAA compliance (no third-party audit named) |
| Disclosure score | 5 of 8 rubric fields published |
Pricing: what is published
Nothing: no pricing model and no numbers anywhere in the captured content. Speed is the published half: 2 to 6 hours on a standard personal injury file. The QA posture is unusually explicit for this market. Weigh the four-person headcount against your volume when pinning an SLA.
How InQuery compares
Medrecords AI sits in the same market with a different shape: records you upload are read in full, including scans, handwriting, and DICOM imaging, every output line links to its source page, and the price is published per page. Medrecords AI publishes its full rate: ten cents a page on Self-Service, duplicates free, with AI Enablement and On-Prem sold as annual licences. The dimension-by-dimension table is in the Medrecords AI vs InQuery comparison.
For the wider field, the InQuery alternatives page compares peer vendors on turnaround, human QA, pricing model, and published rate, built on the same published-materials rule as this review.
Upload a record and get a cited chronology back in minutes. You bring the file; a qualified reviewer stays the decision-maker.
Test a file →Frequently asked
Does InQuery publish pricing?
No. No pricing model and no numbers appear anywhere in the captured content. Turnaround is the published half: 2 to 6 hours for a standard 300 to 500 page personal injury case.
Does InQuery use human reviewers?
Yes, per its published model: AI extraction with human QA included, summarized on its site as people checking the work. That is one of the more explicit QA disclosures among the AI vendors in this market.
How big is InQuery?
Four employees at capture, founded 2023, Y Combinator-backed, based in New York. Size is worth weighing against your claim volume; the turnaround figure it publishes is for a single standard file.
Is this review based on first-hand testing?
No. This review is built from InQuery’s own published materials as captured for our Content Hub profile (verified 2026-08-28), the same sourcing rule our comparison pages follow. Where a figure is not published we say so rather than estimate it, and nothing here is a Medrecords AI rating or score.