Healthcare software and AI, built for production.
Give clinicians their time back and your front desk a breath. We build HIPAA-aware agents for intake, documentation, and the phones — with compliance and a human-in-the-loop designed in from day one.
Where AI relieves the load.
In healthcare, the admin burden is the clinical burden. Six workflows where production AI agents safely remove hours of administrative work.
Patient intake
Conversational intake that captures history, insurance, and consent — structured, validated, flagged for missing fields, and dropped into your EHR.
Clinical documentation
Ambient note drafting and summarization that gives clinicians their evenings back, with a human in the loop on every chart — they review and sign, not type from scratch.
Front-desk & scheduling
An agent that answers, books, reschedules, and triages the phones that never stop ringing — and cuts the no-shows that drain the schedule.
Prior auth & claims support
Assemble, draft, and chase the paperwork that delays care and revenue, with audit trails on every action.
Patient follow-up
Personalized, compliant outreach for adherence, recalls, and post-visit care — at the cadence each patient needs.
Operational reporting
Turn messy operational data into the dashboards your administrators actually use.
Compliance is the foundation, not the disclaimer.
Most AI shops treat HIPAA as a checkbox they add at the end. We treat it as the foundation we build on — and we list only what's actually in place.
BAAs signed before any engagement begins.
We treat compliance as the foundation we build on, not a checkbox added after the pilot.
HIPAA-aware architecture.
Minimum necessary, least-privilege access controls, encryption in transit and at rest — designed in from the first commit.
Synthetic data in development.
We don't train or test on your PHI. Development runs against synthetic data so patient records stay out of the build loop.
Audit logging on every agent action.
Every step an agent takes is logged, so you can answer the questions regulators and your own team will ask.
Human-in-the-loop by default.
Clinical and high-risk steps keep a human checkpoint. The agent drafts and accelerates; a qualified person approves.
Optional on-premise deployment.
Deploy in your environment or your cloud so PHI never leaves it. We state what's in place and we don't over-claim.
Four healthcare systems in production.
A telehealth platform, a 14-location intake rebuild, a clinic front-desk assistant and a dental booking system, each with measured results.
HIPAA-compliant telehealth platform with 3 EHR integrations enrolled 1,200 patients in 90 days and backed a $4.5M Series A.
Unified HIPAA-aware intake with EHR integration cut intake/admin time 41% and lifted clinician throughput 16% across 14 locations.
A RAG patient assistant with clinical guardrails cut repetitive front-desk inquiries 62% and time-to-answer 68% in 8 weeks.
HIPAA-aware self-serve booking with two-way reminders lifted kept appointments 27% and cut no-shows 29% across 6 dental locations.
For build price, monthly cost and payback across every project we publish, see what ten client projects cost.
We are not a generic chatbot vendor pointing a model at patient data. We are engineers who design HIPAA-aware systems with human checkpoints, audit trails, and evidence — and stay accountable in production. Before an agent touches patient data, an AI security assessment tests it for prompt injection and data leakage.
Questions healthcare teams ask
Is Gigabit's healthcare AI HIPAA-compliant?
We build HIPAA-aware architecture, sign BAAs before engagements, use synthetic data in development, log every agent action, and offer on-premise deployment so PHI stays in your environment. We state what's in place and don't over-claim.
What healthcare workflows do you automate?
Patient intake, clinical documentation and summarization, prior-authorization, scheduling and reminders, front-desk voice agents, and RAG over clinical knowledge bases.
Where does our patient data go?
It stays in your environment. We can deploy on-premise or in your cloud, develop against synthetic data, and sign a BAA before any work begins.
Will AI make clinical decisions?
No. Clinical and high-risk steps keep a human in the loop. The agent drafts, structures, and accelerates — a qualified person approves. We design the checkpoints with your team.
How do we start?
With an AI Readiness Assessment that maps your highest-value workflow against your data and compliance constraints, or a Gigabit Agents build for a specific workflow such as intake.
What does a HIPAA-compliant telehealth platform cost to build?
One Gigabit client, a chronic disease management company, paid $124,000 across four phases over 5 months for a HIPAA-compliant telehealth platform integrated with three EHR systems (Epic, Cerner and athenahealth). Maintenance and support continued at $5,500 a month. It enrolled 1,200 patients in its first 90 days. That is one engagement, not a price list.
Does a patient-facing AI assistant reduce front-desk workload?
For one dermatology clinic with two locations it did. A patient assistant with clinical guardrails, built in 8 weeks, cut repetitive front-desk inquiries by 62% and median time-to-answer from 4:10 to 1:20, and 40% of after-hours interactions were handled without staff.
Can online booking reduce no-shows?
Across six dental locations, self-serve booking with two-way reminders lifted kept appointments by 27% and cut no-shows by 29%, in a 9-week build.
From the field notes
Let’s take the busywork off your clinicians.
Bring one workflow — intake, documentation, or the front desk. We'll scope a compliant, production build and what it costs.