The AI operating system that runs your service business.
IAW builds an AI OS for each industry: a team of AI agents that works like your staff.
They never miss a task and never sleep.
They handle the repetitive work end to end, so your people can focus on what matters.
No result, no pay. Every IAW operating system is priced per result, such as a qualified meeting booked. We agree in writing what counts as a result before we start. You pay for the results it delivers, and a month with no result costs you nothing.
Live work, real numbers.
Figures from work that is running in production today — not a roadmap, not a pilot that quietly ended.
University of Toledo — Rockets AI
Where a number on this site is a projection, it is labeled Modeled. We don’t blur the two.
From one business problem to your AI infrastructure.
Every IAW build starts with one problem that costs you money. Each level is built from the one before it, so the first agent is the first brick of your company’s own AI.
Our own products.
Or one built for you.
Every app below was designed, built and is operated by us. Four of them run today with named clients — a hospital group in London, a law firm in New York, a university in Ohio, a political leadership office in India. Take one of these, or we build the one your workflow actually needs.
A campus assistant that answers from the university’s own pages, with a citation on every answer.
Interactive demo coming soon Opens full screen · the live product Get your own nowScore any AI vendor in 3 minutes. Ten questions that expose whether they’ll ship or stall — plus the contract clauses to demand before you sign. It works on us too. Run the scorecard →
Want one of these for your own workflow? We build it as a Production Agent Sprint — your data, your rules, your name on it.
Service businesses first.
Expanding from there.
Mercury OS for service businesses leads, with Rockets AI OS live at universities. Legal comes next with Donna OS, then healthcare and real estate. One industry at a time, on the same engine. We go deep before we go wide.
Healthcare
Prior auth, claims, scheduling, intake, clinical documentation. The paperwork that runs healthcare, handled by an agent — so your staff approve the exceptions instead of typing every one.
Legal
Contract review, drafting, research, intake. An agent takes the first pass — the reading, the redlining, the summary. Your lawyers approve instead of produce. Same output, a fraction of the hours.
Universities
For staff: admissions, advising, grading, course load. For students: a tutor that never sleeps, mock exams on demand, and a search that knows their department, their degree, and their course.
We don't sell models.
We sell outcomes that compound.
We pick one workflow worth owning, build the production-grade agent around it, and stay on to tune, evaluate, and expand. The result is AI measured the way you measure revenue.
Vertical, never horizontal.
Generalist AI shops are invisible. We embed deep in one domain — your domain — so the system understands your data, your edge cases, and your compliance bar.
Production-first engineering.
Evaluation framework on day one. Drift monitoring. Audit trails. Human-in-the-loop where it matters. The discipline that separates the 12% that ship from the 88% that do not.
Outcome-aligned pricing.
Fixed fees for diagnosis and build. Outcome-priced retainers for the agents we operate. Our incentives sit on the same side of the table as your P&L.
We eat what we cook.
Nine in-house apps shipped on Product Hunt. Every methodology we sell, we first prove inside our own portfolio. Operators trust operators.
Pricing that grows with you.
Each level matches how your AI grows: one agent, then a workflow, then your industry’s AI OS, then your whole company. Start at $1,500, then $99 a month to run it. Answer three quick questions to see every price for an organization your size.
Your first AI Agent
One worker that owns one job.
What’s included
- One AI agent that does one job end to end
- Set up on your own content and tools
- Tested on your real questions before go-live
- Grows into your industry’s AI OS when you’re ready
Production Agent Sprint
Agents joined into one workflow, with sign-off.
What’s included
- One workflow, end to end, in production
- Evaluation and drift monitoring from day one
- Human sign-off and a full audit trail
- A defined ROI target, measured, not promised
Your industry’s AI OS
Rockets AI OS, Medix OS, Donna OS or Mercury OS, run and improved for you.
What’s included
- Your industry’s OS, set up on your records
- Continuous tuning and monthly scorecards
- New agents for sales, finance, HR and support as wins compound
- Capped value share, agreed in writing
Your whole company on AI
Starts with the AI Readiness Map: the blueprint to run every team on one AI layer.
What’s included
- Every department scored for AI readiness
- Which agents and OS modules to switch on, in order
- A roadmap from first agent to whole-company AI
- A board-ready brief your leadership can sign off
The workflows worth owning.
Deepest where we live — healthcare, legal, universities — with the document-heavy workflows around them. Each one built to run in production.
AI claims processing
An agent reads FNOL, photos, and police reports, then drafts the settlement — cutting adjudication cost per claim dollar.
AI prior authorization
Fills payer forms, attaches clinical evidence, and appeals denials — against a $30B/year waste.
AI discovery & contract review
Document review, deposition prep, and redlines — the leverage Big Law has and mid-market firms don't.
AI denials & appeals
Generates evidence-backed appeals at scale — recovering revenue from the $260B hospitals lose to denials yearly.
Alongside your team by day 21. Production agent by week twelve.
Wedge & instrument
We name the one workflow worth automating, define the ROI metric, and stand up the eval harness before a single line of agent code ships.
Build the spine
Data ingestion, retrieval, model orchestration, tools, and the human-in-the-loop surface. Continuous eval gates every change.
Alongside & harden
Run the agent safely alongside your team against live work. Tune for your edge cases. Lock down audit trails, role permissions, and drift alarms.
Ship & compound
Cut over to production. Monthly executive scorecard. Adjacent workflows queued for the next sprint while the first earns its keep.
Products shipped. Three flagships.
One operating playbook.
We dogfood. Nine in-house apps launched on Product Hunt — each built with the same production discipline we bring to clients.
SimplOS
Our AI-native operating system — notes, tasks, files, and assistants in one calm surface for small teams.
Donna OS
Drafting, review, and research for law practices — built with lawyers, evaluated against real matters, designed to slot into the workflows firms already trust.
Twinn me
A personal AI that learns how you think, write, and decide — so it can answer, schedule, and act on your behalf without losing your voice.
Launch log.
Common objections, answered openly.
01Who actually does the work?
Senior operators, not a pyramid. Eleven products shipped, four client builds live — the people who scope your build are the ones who ship it, with teams working across the USA, India, the UK and Dubai. You never get a partner who pitches and a junior who builds.
02What about continuity and coverage?
Working across four time zones means the work doesn’t sleep when one office does. Beyond that, everything we build is engineered to outlive any individual: your infrastructure, in your cloud, with the repository, evaluation suite, and runbooks in your name from day one. For anything we operate, we agree a response window in the contract and name a backup engineer before go-live. If continuity is a hard procurement requirement, say so early — we’ll put it in writing before you sign.
03How is this different from a Big 4 AI practice or McKinsey QuantumBlack?
They sell decks and discovery. We sell a production agent with an eval harness, a ROI target, and a defined cutover date. Strategy-first firms often stop at the recommendation. Ours ends in an agent earning revenue in your workflow. We also scope smaller, move faster, and share the outcome risk.
04What happens if the agent doesn’t hit ROI?
We start with the AI Readiness Map, which carries a refund guarantee if no workflow worth $200K a year (SMB) or $500K (mid-market and up) surfaces. The Production Agent Sprint is scoped to a measurable target before kickoff. If the metric isn’t hit, we keep working at no additional fee for up to 60 days, against the baseline we agreed at kickoff, until it is — that’s the outcome-aligned pricing in practice, not just on the slide.
05Can you sign our BAA, HIPAA, or SOC2 paper?
Yes. We work with healthcare and legal — BAAs, HIPAA-aligned deployments, SOC 2-aligned controls, and cloud subprocessors that hold SOC 2 Type 2. Full detail on our Trust page. Compliance is a Day-1 design constraint, not a Day-90 retrofit. Send us the paper and we’ll review within one business day.
San Francisco · 2026
For the past thirty months we have been building AI applications and, more importantly, talking to the people meant to use them. More than two thousand conversations across healthcare, legal and education.
The same thing came up every time. Everyone is fascinated by what AI can do. Almost no one is getting real value out of it. The demo is dazzling. The Monday morning after is unchanged.
We came to believe the problem is not the model. Frontier models are extraordinary. The problem is that a general model meets a specific business and neither one bends.
Be the first named case study.
We're taking a small number of founding-partner engagements: one workflow, scoped to ship fast, at preferential terms — in exchange for a public reference once the numbers are real. Trade your logo for the price.
Tell us which workflow is worth owning.
For healthcare operators first — prior authorization and denials. Most teams start with one production agent on their highest-cost workflow. A two-week audit scopes it; the sprint ships it. Fixed price, defined outcome.