HIPAA-aware by design
Access control, audit trails, and PHI boundaries are designed in from the first sprint — and we sign a BAA as subcontractor.
Proof layer Every PHI touchpoint documented in a data-flow map you keep.
Healthcare & Wellness
Give the clinic back to the clinicians
AI intake, scheduling, documentation, and claims agents, HIPAA-aware, built into your EMR, with a human on every clinical decision.
- FHIR / HL7
- HIPAA-aware
- EHR-native
- BAA as subcontractor
EMR / HL7LabsPortalPhone IntakeTriageVerifyEligibilityScheduleEMR slotDocumentDraft note
Care Ops
Live What we build
4 commitments, 1 senior bench.
Every healthcare build ships against the same four constraints — no exceptions for demos or deadlines.
EMR-native, not bolted on
API and interface-engine integration against your exact stack — FHIR and HL7, scoped in a readiness sprint before we build.
Proof layer Integration scoped and tested against your sandbox, not a mock.
Automation with escalation
Agents handle intake, scheduling, and documentation drafts. Anything clinical routes to a person, every time, with full logging.
Proof layer Escalation rules and transcripts reviewable by your compliance lead.
Senior engineers, weekly demos
A named senior lead owns the outcome. You see working software weekly, not a status deck monthly.
Proof layer Senior review on every merge; 30-day exit on embedded pods.
Integration reality
EMR platforms and interface engines Scheduling systems Claims clearinghouses Patient communication channels
Where it pays back
The admin patterns we see in every clinic.
- Workflow · 01
Admin overhead steals clinical hours
Charting, scheduling, and billing eat the day before a single patient is seen.
Documentation and scheduling automation
- Workflow · 02
Patient data scattered across systems
EMR, scheduling, and lab portals never talk, so nurses become integration code.
Interface-engine and API integration
- Workflow · 03
24/7 contact without staffing the night shift
Patient enquiries arrive at 2am and a phone tree is a liability, not a service.
Voice intake with escalation rules and full logging
Use cases
Where healthcare teams put us to work.
Eight workflows where automation pays back first — each scoped, evaluated, and capped before it touches production.
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After-hours voice intake
24/7 patient calls answered, triaged, and logged — clinical questions escalate to on-call staff.
Clinics without a night shift -
Patient intake & triage
Forms, history, and insurance captured before the visit and written into the EMR.
High-volume front desks -
Scheduling & reminders
Slot booking, waitlist backfill, and no-show reduction wired into your scheduling system.
Practices losing slots to no-shows -
Clinical documentation drafts
Visit notes drafted for clinician review and sign-off — never auto-filed.
Teams charting after hours -
Eligibility & prior authorization
Coverage checks and prior-auth packets assembled and tracked to decision.
Back offices buried in payer portals -
Claims & denials workflow
Claims scrubbed before submission; denials triaged and routed with the paper trail attached.
Revenue-cycle teams -
System integration
EMR, labs, scheduling, and comms connected through interface engines and APIs — so nurses stop being the integration layer.
Multi-system practices -
Operations reporting
Intake volume, wait times, and denial rates on one dashboard your administrator actually opens.
Leaders flying blind on ops
Case studies
Proven solutions. Real-world impact.
How our teams solve critical patient-care and clinical-operations problems through strategy, engineering, and innovation.
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5k+ app installations Curetrax – Remote Monitoring for Blood Cancer Recovery
24/7 monitoring for blood cancer transplant and CAR-T patients, combining wearable vitals with automated clinical alerting.
Read story -
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24/7 patient bookings Voice AI Appointment Booking Assistant – what we built n8n & ElevenLabs
A RAG-powered voice agent answers practice questions, checks availability, and books appointments without front-desk staff.
Read story -
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1 CRM-connected loop EPIC Life – AI-Powered Health Companion
AI health check-ins, in-app booking, and secure provider messaging connected into the clinic CRM for one patient lifecycle view.
Read story -
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4 care workflows unified myUnity (by Netsmart) – Optimizing Home & Hospice Care with EHR
Cloud EHR unifying scheduling, documentation, billing, and mobile EVV for home health and post-acute care teams.
Read story -
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1 thread for everything ZenVida – WhatsApp Booking & Customer Automation Platform
Appointment booking, payments, and AI support for a wellness studio in one WhatsApp thread — no more calls, DMs, and spreadsheets.
Read story -
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90% patient satisfaction Blue Sky Prevention Centers – Streamlined Patient Care Companion
Lab results, booking, prescriptions, and provider messaging in one app, backed by a staff-facing CRM integration.
Read story -
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4 partner types, one platform Diagnostic.ly – White-Labeled Remote Diagnostics Platform
A white-labeled backbone for labs, providers, employers, and device makers to launch branded at-home testing programs.
Read story -
Capabilities
6 service lines, 1 senior bench.
Six connected capabilities, delivered as one seamless service.
See full capability matrix →AI consulting and readiness
A build decision in 2 weeks, not a slide deck.
AuditUse-case scoringRoadmap
Explore AI readiness Agentic engineering
Agents with evaluations, approval gates, cost ceilings, and a full audit trail.
RAGTool useVoiceGovernance
Explore agentic engineering Forward deployed engineering
A named senior engineer inside your team, owning an outcome.
EmbeddedWeekly demoNamed lead
Explore forward deployed engineering Custom software, web and mobile
Specification first, AI-assisted, senior review on every merge.
Next.jsNestJSFlutterReact Native
Explore custom software Automation and systems
Workflows wired and instrumented, with the payback counted.
n8nMakeCRMBack office
Explore automation Data and platform
Pipelines and lineage your AI can actually rely on.
WarehouseETLLineageObservability
Explore data & platform FAQ
The questions compliance asks first.
Straight answers before the first call. If yours is not here, ask it on the call — we answer the hard ones first.
Ask the hard one Who sees patient data during the build?
We scope against de-identified or synthetic data wherever possible, and any PHI access is limited to named engineers under the BAA, logged, and documented in a data-flow map you keep.
Can AI make clinical decisions in your systems?
No. Agents handle intake, scheduling, documentation drafts, and back-office workflows. Anything clinical routes to a person through defined escalation rules, every time.
Is this HIPAA-compliant?
We deliver HIPAA-aware systems and sign a business associate agreement as subcontractor. Compliance is a property of the whole deployment and we document our side of it honestly rather than claiming a certification we do not hold.
Does it integrate with our EMR?
API and interface-engine integration, scoped during the readiness sprint against your exact stack.
What about after-hours patient calls?
Voice agents with defined escalation rules and full transcript logging. Anything clinical routes to a human.
Start the conversation
Getyourclinicalhoursbackfromthe
paperwork
Tell us where the admin piles up. We will tell you what software can take off your team, and what should stay with a person.
30 minutes the engineer who leads delivery no deck, no pitch