We don't just advise on AI.
We build it, ship it, and run it.
Medellis is a practitioner-led AI studio. We build agentic systems that do real operational work — chase overdue invoices, reconcile store days, draft clinical notes — with an approval gate on anything consequential and a receipt for everything. Weeks to working software, not quarters.
Deployable platforms. Your brand, our engineering.
For teams that want the outcome without a ground-up build: our platforms, configured to your workflows, deployed in your environment — and run by us. White-label available. Fixed implementation, monthly platform fee, no lock-in.
Medellis Coworker
An AI coworker for your team. It reads, plans, and drafts; it does nothing consequential you haven't approved. Promote it as it earns trust, demote it the moment it hasn't — and read the receipt for every action it takes. White-label it when you're ready to make it yours.
- Chases invoices, assembles the Monday ops pack, triages the shared inbox — finished work, not chat
- 34 ready-made connectors — email, Slack, calendars, files, CRM, QuickBooks — plus built-in web search
- Local-first: a signed, notarized macOS app on your machines, with your choice of model provider
- Approval gates and a receipt for every action — auditable end to end, no black box
Medellis Daybook
Store-day reconciliation for multi-brand franchisee groups — POS, processor, bank, and delivery matched for every store, every day, and closed to a journal.
- POS totals matched against processor settlement, delivery payouts, and the bank
- Deterministic matching in integer cents — a model never decides whether two numbers are equal
- What did not match becomes a worked exception list, ranked by what it costs
- A balanced journal per entity, exported ready for whatever ERP you run
- A pilot is a folder of files — runs on the exports you already have
Medellis Scribe Platform
Evidence-linked clinical documentation as a platform — deployed under your brand for hospitals, institutes, and health systems.
- Notes, codes, summaries, and prior-auth letters — every statement traceable
- Your brand, your clinical context, your cloud or ours
- HIPAA-grade posture: purge-by-default, audit trails, access boundaries
- Field-proven approach — the same evidence-linked engine design ships inside Healaxy as MediMitra
Productized offers. Transparent pricing.
Every engagement ends in something running — a scored pilot, a deployed workflow, an evaluation harness. Never a slide deck alone. And if the honest answer is "don't build this," we'll tell you in week one.
Agentic Readiness Sprint
A ranked map of agent opportunities across your workflows, with build / buy / wait verdicts, risk posture, and a 90-day roadmap.
Pilot Build
One production-grade agent workflow: scoping, build, evaluation harness, guardrails, deployment, and team handoff.
Production & Scale
Hardening pilots into production: integrations, monitoring, evals, governance, and internal enablement so it survives contact with reality.
Fractional AI Leadership
An embedded head of AI: strategy, vendor selection, architecture review, hiring support, and board-level reporting.
No sales ambush. A straight path.
You'll know exactly where you stand at every step — and the first two cost you nothing.
30-minute fit call
You describe the workflow that's hurting. We tell you honestly whether agentic AI fits — including "not yet." No deck, no pressure.
Point-of-view memoFree
Within a week you get a written 2-page memo: our read on your problem, the approach we'd take, and the risks. Keep it either way — it's yours.
Fixed-price proposal
If it's a fit, you get a one-page SOW with a fixed price and timeline. No hourly meters, no scope surprises, no lock-in.
Proof, not promises.
Most AI consultants show you frameworks. We show you products — things we designed, built, and shipped ourselves, plus systems we've built alongside clients.
Medellis Scribe
AI medical scribe generating evidence-linked clinical notes, HCC-aware billing codes, patient summaries, and prior-auth letters from patient encounters. Every statement traceable to its source. 20+ specialties, bilingual, HIPAA-compliant — on iOS and web.
scribe.medellis.comCase studyRetireArc
Professional retirement planning for fee-only advisors and individuals: Social Security optimization, Roth conversions, Monte Carlo simulation, tax planning, and Plaid-linked accounts — with a streaming AI copilot for advisor meeting prep.
retirearc.comCase studyOverpriced.ai
AI-powered equity analysis using reverse-DCF: extracts the growth rate implied by any stock price and compares it against fundamentals to flag over- and under-priced names. Screener, watchlists, alerts, and a premium Telegram bot included.
overpriced.aiCase studyPersonaOS
AI teammates that earn autonomy: they start supervised — watching, drafting, holding work for review — and graduate to acting independently. Grounded in your email and files, approval gates on anything outbound, audit trails on everything. The tiered-autonomy pattern from our practice, productized.
Try the pilotCase studyHealaxy
Advised and built as consultant: end-to-end hospital management platform — OPD/IPD, EMR, billing, pharmacy, lab, and radiology workflows — serving clinics and multispecialty hospitals.
healaxy.comCase studySapion Health
An AI operating system for clinical research: study startup, patient enrollment, consent, regulatory documentation, and trial management connected through a shared AI layer.
sapionhealth.aiCase studyMediMitra · built for Healaxy
AI medical-document analysis built for Healaxy's platform: clinicians upload records, labs, and imaging reports, then query them in natural language — every answer cited to its source, with team collaboration, audit trails, and HIPAA-grade privacy.
healaxyscribe.healaxy.comCase studyIn their words.
Medellis didn't hand us an architecture deck and leave. They advised, then built alongside our team — the platform runs clinics end to end today, and the discipline they brought to auditability shaped how we build everything now.
RetireArc had to meet a fiduciary bar — numbers advisors can defend, models that show their work. That's the discipline behind every Medellis build: evals first, explainability always, ship only what you can stand behind.
Don't take our word for it — everything on this page is clickable: open the products, read the case studies, read the notes.
Why teams pick a boutique
Big-firm capability. Boutique speed.
Senior practitioners from top technology companies, working directly with you — no bench, no pyramid, no discovery theater. First call to kickoff in one to two weeks, at a fixed price you saw before you signed.
Who this is for — and who it isn't.
Senior time is the whole product, so we protect it. Thirty seconds here saves us both a call.
We're a strong fit if you…
- Run a mid-market company with real operational workflows — support, ops, back office, compliance — and no in-house AI leadership.
- Are a funded startup that needs senior AI product and engineering judgment without a full-time hire.
- Have a stalled or failed AI pilot and need someone to diagnose it honestly and restart it right.
- Want your own team able to run the system after we leave.
We're the wrong choice if you…
- Need a Big-4 logo on the deck for board cover — we're a boutique, and we're fine with that.
- Want a team of junior developers billed by the hour. We don't staff pyramids.
- Want "AI" added for the press release, without a workflow that actually hurts.
- Expect strategy slides with no working software behind them.
Vertical depth, transferable craft.
Agentic patterns repeat across industries — intake triage, document workflows, research-and-draft loops, ops copilots. We've proven them where the stakes are highest.
Healthcare
Clinical documentation, hospital operations, clinical research. HIPAA-grade habits — auditability, human-in-the-loop, risk controls — applied to every industry we touch.
Financial Services
Advisor tooling, valuation analysis, retirement planning. Fiduciary-grade rigor: numbers that must be right, models that must be explainable.
Retail & Operations
Customer service agents, back-office automation, pricing intelligence — where agentic AI compounds fastest for mid-market operators.
Why our projects ship when 40% get canceled.
Gartner projects over 40% of agentic AI projects will be canceled by end of 2027 — sunk by unclear value, runaway costs, and missing risk controls. Our method is built against each failure mode.
Ruthless scoping
We kill weak use cases in week one. A "do not build this" verdict is a valid deliverable — it saves you six figures.
Evals before agents
Every build starts with an evaluation harness. If you can't measure it, you can't trust it in production.
Guardrails by default
Human-in-the-loop checkpoints, audit trails, and permission boundaries — regulated-industry habits, everywhere.
Handoff, not hostage
Your team runs the system when we leave. Documentation, training, and enablement are in every scope.
Practitioner-led. Literally.
Medellis is a builder-led studio shaped by years of shipping software in healthcare and AI — an industry where software failure isn't an inconvenience, it's a liability. That discipline shows in everything above: the products in our portfolio are designed, built, and run end to end by the same senior hands that will work on your engagement.
The people you meet on the first call are the people who scope the work, write the code, and stand behind the result. No handoff to juniors. No slideware. And no headshots or bios — by design: the work above is public, clickable, and current, and we'd rather be judged by that than by anything we could say about ourselves.
Notes from the build side.
What we're learning shipping agentic systems — published as practitioner notes, not thought leadership.
What's actually working in agentic AI right now
The five patterns that are shipping and paying for themselves in mid-2026 — document workflows, tiered service agents, triage, draft-and-approve loops — and the one unglamorous thing they all share.
Read the note →Why 40% of agentic AI projects will be canceled
Gartner says 40% die by 2027. From the build side the failures are predictable: agent-washing, no baseline, autonomy maximalism, no evals, guardrails as an afterthought — each with its antidote.
Read the note →Evals before agents: the habit that decides whether your AI ships
The golden set, task-level scoring, the regression gate, and how evaluation draws the autonomy boundary — the smallest harness worth building, and why it's a week-one deliverable, not a roadmap item.
Read the note →The questions you'd email us anyway.
Who actually does the work?
Who owns the IP we pay for?
What happens to our data?
Which AI stack do you use?
Can we white-label your platforms?
What if agentic AI turns out to be wrong for our problem?
How fast can we start, and how do we begin?
Have a workflow that's hurting?
Tell us about it — three fields, two minutes. You'll get call times within one business day, then a 30-minute fit call and a free written point-of-view memo — whether or not we ever work together.
Got it ✓
You'll hear from us within one business day — first a 30-minute fit call, then a free written point-of-view memo. It's yours to keep either way.