We Manage it For You
Get output without running the engineering operation. Bring us your roadmap and we take it from there: we operate the agents, ship the releases, and own everything after launch.
HealthTech
So, you're finally building with AI.
Every health system, provider group and health tech company has an AI committee, a vendor shortlist and a pilot somewhere. Far fewer have something running that a scheduler, coder or end customer actually uses on a Tuesday. That gap is the whole job.
We deploy AI agents to either build custom software for you (20% human, 80% agentic) or fix bottlenecks in your engineering pipeline slowing down the team.
Two Ways to Run Our AI Agents
Your AI agents cover the whole build and keep it running: specs, code, review, QA, infrastructure, maintenance. Choose to have our senior engineers operate the factory, or run it in-house with our setup and support behind you.
Run the Agents yourself, with our support
The DIY option. We customize the agents, plug them into your existing engineering operation, and you run it.
Tell us what you're trying to build.
Most conversations in this space start in one of these places. Find the row that sounds like your week — that's the conversation we want to have.
- P-1
Prior authorization
Staff rebuilding the same clinical packet by hand, in a payer portal, for the fourth time this week.
- R-1
Revenue cycle and denials
Denials worked after the fact instead of caught before submission, and nobody can say which payer rule broke.
- R-2
Coding and charge capture
Documentation and codes drift apart, so revenue leaks quietly and an audit finds it before you do.
- D-1
Documentation burden
Clinicians finishing notes at nine at night, and the tool you bought only covers one specialty.
- S-1
Scheduling and capacity
Templates built years ago, no-shows absorbed by overbooking, open slots nobody can find in time.
- S-2
Referrals and intake
Referrals arriving by fax and portal, keyed in twice, leaking to competitors while they sit in a queue.
- A-1
Analytics and risk
Quality and risk reporting assembled from extracts, arriving a month after it could have changed anything.
- T-1
Product roadmap
Features your customers keep asking for sit behind an engineering queue you can't hire your way out of.
- T-2
Customer integrations
Every new health system on the platform means another Epic or Cerner integration your senior engineers build by hand.
The shaded rows are the ones we hear from software teams; the rest come from operators. Plenty of firms are both. Not on the list? Bring it anyway — the first call is scoping, not selling.
We build on the stack you already run.
No rip and replace, and no migration off the EHR. We connect to what your teams already open. If you're the one building the platform, this is the list your customers ask you to integrate with.
- Epic EHR, App Orchard
- Oracle Health / Cerner EHR
- Meditech EHR
- athenahealth EHR and RCM
- eClinicalWorks and NextGen Ambulatory EHR
- Availity Payer connectivity
- Waystar and Optum Claims and denials
- HL7 and FHIR Clinical interfaces
- X12 EDI 837, 835, 270, 278
- Redox and Health Gorilla Integration and exchange
- Salesforce Health Cloud CRM and outreach
- Snowflake and Power BI Warehouse and BI
Also: homegrown scheduling tools, legacy interface engines, and the fax line that still carries a third of the referrals.
The compliance questions, answered first.
Every healthcare conversation reaches these four inside twenty minutes, whether you run a health system or sell into one. Here's where we stand before you ask.
PHI stays where your contracts put it
We build inside your cloud tenancy and your controls. Protected health information does not move to an environment you don't own.
We sign a BAA
Business associate agreement in place before any work touches a system carrying PHI. No exceptions, no side letters.
Your data is not training data
Nothing from your environment trains a shared model or improves something sold to anyone else, including a competitor.
Clinical work keeps a human on it
We build clinical tooling as decision support with a clinician on the approval. Autonomous clinical judgment is not what we ship.
What changed, in plain terms.
The technology stopped being the constraint about eighteen months ago. Ownership is the constraint now.
How it used to work
- Data split across the EHR, the clearinghouse, the CRM and a dozen analyst spreadsheets
- Staff rekeying the same information between payer portals and the chart
- Quality and denial reporting that lands a month after it could have changed the outcome
- Integration work quoted in quarters, with each new customer starting from zero
- Innovation-office pilots that never reach a clinic floor or a billing desk
How it works now
- One layer reading across your systems without moving anything off the EHR
- Prior auth packets and appeal letters assembled from the chart, ready for review
- Denial risk flagged before a claim goes out, not reconciled after it comes back
- Integration work measured against your release cycle, not a procurement cycle
Want the full picture on DevHawk?
How we work, who's on the bench, the industries we build in and everything we've shipped. Start at the top.
Or just book the call.
Thirty minutes with Zahra. Bring a problem from the list above and you'll leave with a scope and an honest read on whether it's worth building.