AleemIQ — HIPAA-compliant anesthesia decision support
An iOS app for ambulatory anesthesia providers. Anonymous case documentation + a RAG-grounded AI engine surfaces precedent from prior cases at point-of-care. Built for App Store submission.
FineCore.dev is the production engineering squad for domain-first founders at Seed and Series A. We ship AI into the workflows you already run: claims, charts, contracts, freight, billing. Stable, auditable, and held to a number you set. No CTO required.
Every build runs on the same system, Acceptance-Led Delivery: retrieval grounded in your documents, agents gated by human approval, evals before anything rolls out. Pick your vertical to see it in your workflow.
PHI boundaries, EHR-adjacent data, clinician review on every output. This is the constraint set we know best: every delivered build on this site is clinician-facing.
RAG over matter files, transcripts, and prior work product. Every output requires attorney approval; immutable audit trail for malpractice review.
FNOL intake, policy files, and adjuster notes are documents; decisions are rules plus judgment. We automate the documents and the rules, and route the judgment.
Ingests load tenders, customs holds, and driver HOS; proposes routings and check-call scripts before anything writes back to the TMS.
Agentic finance-ops workflows grounded in the ERP: tie-outs, variance explanations, journal entries, AP matching. Your controller approves each entry, and the log holds up in audit.
RAG over project documents, specs, and prior RFIs. Incoming questions land with the correct discipline lead, draft response attached.
Natural-language product discovery and next-best-offer on a unified customer profile, deployed customer-side with acceptance tied to lift.
Targets shown are acceptance metrics: agreed before kickoff, measured before invoice.
A selection of delivered builds. Acceptance-led, customer-side deployments. NDA-bound engagements are not shown.
An iOS app for ambulatory anesthesia providers. Anonymous case documentation + a RAG-grounded AI engine surfaces precedent from prior cases at point-of-care. Built for App Store submission.
A clinician-facing chatbot for cannabinoid drug interactions. Local Gemma 2 inference with optional RAG over FDA DailyMed labels, FAISS retrieval, and Whisper voice input. Answers are grounded in cited drug labels.
Cross-platform app (iOS / Android / HarmonyOS) paired with WiFi-CSI sensing hardware: contactless fall detection, vitals (6–30 BPM respiration, 40–120 BPM heart rate), sleep analysis. No cameras, no wearables, signals never leave the home network.
Every quote reserves 15–20% for compute and tooling, so the price you see is the price that lands a measured outcome.
One feature, shipped. A focused AI capability inside your existing app.
AI capability fully integrated into a real business system end-to-end.
Program-level rollout across multiple systems and departments.
Post-launch monitoring, drift tuning, and ongoing optimization.
New York–led, globally staffed. Every engagement is run by senior engineers who have shipped production AI before. Nobody fronts a junior bench.
Your first call and your single point of accountability, hands-on from discovery through rollout. Built FineCore around productized AI delivery.
Tell us what you raised to build, the metric that proves it, and your target date. We respond in two business days with a scoped proposal.
Google Calendar works best full screen on a phone. Tap below to open scheduling in your browser. Same slots as desktop.