Supervisors across our markets expect consistent reporting, yet we still assemble most submissions by hand, country by country. Board reporting leans on in-house management information. A good solution must cover multiple jurisdictions, run cloud-native, support several languages, and cut manual reconciliation. Single-country tools and long on-prem installs are not an option for us.
Healthtech · Health Data & Interoperability · 50–200 · North America #b029_02
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We sell an API and analytics layer that pulls patient medical histories from national exchange networks for care organizations, insurers and software builders.
- Industry
- Healthtech · Health Data & Interoperability
- Size
- 50–200 employees
- Region
- North America
- Tools budget
- $1K–5K per month
- Needs
- Data quality & observability. Records arrive from many sources with duplicates and gaps, and our customers notice inconsistencies in summaries we generate.Today: data engineers build pipelines to merge and clean records from many exchange sources · Urgency: this yearLLM evaluation & testing. We generate machine written clinical summaries and need a repeatable way to test them for accuracy before release.Today: internal review of machine written summaries without a formal repeatable test set · Urgency: laterSOC 2 / ISO 27001 automation. Keeping our healthcare security certification and attestation current takes engineering time we would rather spend on product.Today: a compliance platform plus outside auditors, with a second certification still in progress · Urgency: this year
- Who decides
- cto · security review
- Expects from suppliers
- Clinical accuracy test sets we can extend; Works with structured and document style records; Fast onboarding for a lean team
- Not a fit
- Generic chatbot vendors; Offerings requiring data to leave our cloud
- Stack
- cloud: AWS-class hyperscaler, LLM APIs in production, CI/CD pipeline in place
- Buying triggers
- AI adoption push, scaling transaction volume
Needs
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We let customers blend their proprietary data with public sources, and every blend raises the same worry: who is allowed to see what, and where did each record come from? We need permissions and lineage that hold up under audit, work in cloud, on-premise and hybrid setups, and understand biological metadata, not just generic tables.
Every new customer means our analysts read long plan documents and re-key benefit details into structured data by hand. It slows onboarding and invites mistakes. A good solution must pull values from insurance plan summaries, flag low-confidence fields for human review, and validate against known plan rules. Plain OCR does not help us.
We are formalising our compliance programme ahead of a bank charter, and regulatory reporting is the gap. Today it is scattered and manual. A good solution must track regulatory changes, map them to our controls, keep exam-ready evidence in one place, and feed our existing ticketing. Bank partners will scrutinise any vendor, so credibility matters.
We wish for one place that keeps controls and evidence current across every framework we claim, with crosswalks between healthcare, payment and secure development requirements. We would judge it by how little manual evidence chasing remains before an audit, whether pricing is published upfront, and whether it fits a small budget and our existing pipeline.