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Is this your company? Claim itWe are a young company making an AI scribe that listens to consultations and drafts notes into the clinician's record system.
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We ship AI replies that pull from each customer's own knowledge base, and right now our engineers judge draft quality by hand. It doesn't scale. We need a lightweight way to score retrieval and answer quality on the customer's own content before replies reach end users. No dedicated ML staff to run it, and pricing must be predictable.
We're a small team and we enforce least-privilege access to customer records by hand. Periodic access reviews eat time every cycle and are easy to get wrong. A good solution runs reviews on a schedule, flags stale or excessive access, keeps clean evidence for auditors, and works for contractors without per-seat penalties. Setup in days, tiny budget.
We're growing fast, and so is our codebase and open source footprint. Our security engineers are drowning in raw scanner findings. We need code-level vulnerability scanning that triages by real exploitability, plugs into our CI pipeline through an API, stays quiet on noise, and never slows developer laptops. Budget is modest.
Before every model change reaches partners, we must prove our symptom assessment still performs against clinical cases. Today we lean on synthetic cases and automated metrics, which feels thin. A good solution gives versioned, reproducible evaluation sets, clinician-reviewed scoring, regression comparison between model versions, and fits our release pipeline and quality agreements.
Findings from outside testers and our bounty programme arrive faster than we can sort them. Each one needs a clear owner, a severity call and a ticket in our tracker, and today that routing is mostly manual. A good solution deduplicates reports, assigns owners automatically, tracks fix deadlines, and shows evidence we can reuse in audits.
Keeping our security certification current while answering partner questionnaires by hand is swallowing most of our compliance capacity. An audit is coming this year. A good solution prefills standard questionnaire answers, tracks evidence continuously across multi-region, hardware-heavy operations, and keeps pricing flat as we grow. Usage-based pricing tied to data volume is a dealbreaker.
We wish for an evaluation workbench that reruns every model version against our full set of clinical findings and gives identical results each time, with locked data, code and settings. We would judge it by reproducibility across reruns, clear per-finding regression reports, audit trails fit for medical device reviewers, and how easily it plugs into our existing pipelines.
We serve investment firms whose security questionnaires keep growing, and every audit cycle eats far too much of our team's time. We want evidence collection and control monitoring automated, with clear audit logs, financial services grade security, and responsive support. Our budget is modest, so pricing must fit a small team.
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