You adopted AI but the delivery timeline didn’t change. Our paper explains why →

The rigor of healthtech,
at AI’s pace.

We embed engineers trained in the craft that keeps AI-accelerated engineering safe, compliant, and built to last.
  • Spec-driven development
  • Test-driven development
  • Continuous delivery
Talk to an engineer
See the work
Companies that
trust us
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AI is only as good as the team using it.

AI compounds whatever a team already brings. We spent years building the discipline it now amplifies.

Spec before
code.

The thinking happens before a line is written, so the build stays on target and rework stays small.

Spec before
code.

The thinking happens before a line is written, so the build stays on target and rework stays small.

Clean code,
by habit.

We refactor as we go, so the codebase stays fast to work in long after we hand it over.

AI in production. Here's what it took.

AI products we shipped for US health tech, built with AI and the judgment to know when it’s wrong.
ENTERPRISE AI

Ideation to live MVP in three months.

A retrieval platform with no-code agentic workflows, wired to 20+ language models. Now live at Virginia Tech and Providence College, with manual academic work cut in half.
Read the Rolai story
MEDICARE COMPLIANCE

90% review time cut. Across 800,000+ minutes a month.

The AI workflow that reviews Medicare sales calls for compliance, flags the risk, and leaves an audit trail a reviewer can trust, at a volume a manual team never could.
Read the Healthy AI case
OUR OWN AI PRODUCT

Compliant code, at AI speed.

Anthara is the runtime layer we built so AI-generated code stays inside policy as it’s written. We run it on our own regulated work, and now it ships as a product.
See Anthara

AI in production. Here's what it took.

AI products we shipped for US health tech, built with AI and the judgment to know when it’s wrong.
ENTERPRISE AI

Ideation to live MVP in three months.

A retrieval platform with no-code agentic workflows, wired to 20+ language models. Now live at Virginia Tech and Providence College, with manual academic work cut in half.
Read the Rolai story
MEDICARE COMPLIANCE

90% review time cut. Across 800,000+ minutes a month.

The AI workflow that reviews Medicare sales calls for compliance, flags the risk, and leaves an audit trail a reviewer can trust, at a volume a manual team never could.
Read the Healthy AI case
MEDICARE COMPLIANCE

Compliant code, at AI speed.

The AI workflow that reviews Medicare sales calls for compliance, flags the risk, and leaves an audit trail a reviewer can trust, at a volume a manual team never could.
See Anthara

AI work that compounds across your engineering organization.

Adoption, agent experience, or feature work. The engineering craft underneath is the same.

AI Enablement

The infrastructure that makes AI adoption safe, measurable, and consistent across your engineering organization. Productivity that holds past the first quarter.
Learn More

AI Enablement

  • Guardrails and governance
  • Cost and control
  • Shared tooling
  • SDLC workflow agents
How AI Enablement works

AI Modernization

The artifacts that make your codebase legible to AI agents, so they read your repo like senior engineers from the first prompt.
Learn More

AI Modernization

  • CLAUDE.md and AGENTS.md setup
  • Architecture Decision Records (ADRs)
  • Codebase indexing and semantic search
  • Code health and hotspot baseline
How AI Modernization works

AI Product Engineering

AI features built into your product by senior engineers who use AI well. Shipped to your standards, paired and tested.
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AI Product Engineering

  • AI agents and copilots
  • RAG and retrieval
  • MCP and tool use
  • EHR integration and data
How AI Product Engineering works

Built for the realities of US health tech.

Three health tech verticals where regulation is the design starting point
PAYER TECH

Claims, eligibility, member AI.

Build and modernize systems that drive productivity, and are defensible across CMS and Medicare audit cycles.
Book a Demo
PROVIDER TECH

Clinical workflows. EHR-native.

Engineer HIPAA compliant products that work with Epic, Cerner, and Athena rather than around them, so clinicians get tools that fit how they already work.
Book a Demo
BEHAVIORAL HEALTH TECH

Therapist matching. Member engagement.

Build for the most sensitive data in healthcare, with privacy and consent engineered in, so matching and engagement scale without exposing patients.
Book a Demo
  • SPOTLIGHT · OPEN-SOURCE PLUGIN

Our engineers ship faster because our Claude plugin codifies our craft.

Bee is the Claude Code plugin we built for ourselves and open sourced. It knows our practices, enforces our standards from discovery through review, and ships with every engineer on every client engagement. It’s also the template for what we build for your team. When we set up your AI infrastructure, we draw from what we’ve already lived.
Explore Bee
  • Spec-driven
  • Open source
  • Built for Claude Code

Your foundational model may be replaceable.
Your forward-deployed engineers aren’t.

Foundation models are commoditizing. Defensibility shifts to forward-deployed engineers embedded inside your team. That bench is the moat.
OPTION 01 · ACQUIRE

$4 billion

Provider directory, pre-procedure engagement, and ambient documentation, EHR-native against Epic, Cerner, and Athena.
OUT OF REACH
OPTION 02 · BUILD

18 months

Hire, vet, train, deploy, and maybe ship in eighteen months. By then your customers have moved to a platform that already has the bench.
TOO SLOW
OPTION 03 · FOUNDRY

Build. Operate. Transfer.

We build a captive of eight to twelve FDE-grade engineers, branded as yours, trained on your platform, embedded with your team, and transferred to you in 24 to 36 months.
THE THIRD PATH
Partner with Incubyte to build your FDE bench, branded as yours and transferred when it’s ready.
Build your FDE bench
Build your FDE bench

What clients say

My experience overall with Incubyte has been exceptional. I have worked with quite a few offshore teams and this has been totally different in a positive way.

Maxwell Miller

Associate Director in Engineering at a Healthcare Company, US

We went from an initial call with Incubyte to starting work in under 15 days and from an idea to a working MVP in just three months. We learned a lot from Incubyte.

Ravish Patel

Co-Founder, Monnai

Incubyte showed an immediate understanding of our pains, and offered a systematic and pragmatic approach to a sustainable solution. Their technical leadership impressed us.

Chet Thaker

CEO, TeleBright

Incubyte helped us adopt clean coding practices, bring in a focus on automation with CI/CD and automated testing, and create an modernization roadmap for our tech. We strongly recommend consulting with Incubyte if you’re looking to scale your technology and bring in best practices.

Kuntal Shah

Co-founder, Leading Growth and Tech at CricHeroes

Incubyte exceeded our expectations on every turn, developing software that is now being used by tenfold more users than originally planned for. They bring great thought leadership, implementation expertise and best software development practices, and its been a pleasure working with them.

SVP

Consumer Finance Lender

My experience with Incubyte was nothing short of exceptional. They delivered a tailored solution aligned with our needs, offering flexible features and constant support. Their expertise and collaborative approach transformed how I work with technical teams and manage requirements.

Process Transformation Specialist

US-based Financial Services Firm

Incubyte made navigating complex, dynamic projects seamless. Their organized, collaborative team turned challenges into clear, actionable solutions — improving workflows, reducing errors, and helping me build valuable personal skills while enhancing how we support customers and accelerate critical processes.

People Development Specialist

Leading Consumer Finance Firm

Incubyte has been a thoughtful, strategic partner to our engineering team. They proactively improve collaboration, team processes, and velocity. Responsive to challenges and invested in shared success, they’ve consistently delivered value while strengthening trust and partnership within our organization.

Head of Engineering

Digital Mental Health Solutions Provider

The team behind the rigor.

Founded 2020 by Sapan and Rushali.
140+ engineers. Fully remote. Founder-led.
Meet the team

Tell us what you’re building.

What you’re building and what’s getting in the way. A founder reads every message and replies within two business days.

A founder reads every inbound. Two business days. No SDRs.
Or book a 30-min call with a founder

Tell us what you’re building.

What you’re building and what’s getting in the way. A founder reads every message and replies within two business days.


A founder reads every inbound. Two business days. No SDRs.
Or book a 30-min call with a founder
What we have written

Three pieces from the engineering team on shipping AI inside US health tech.

View All

Your AI budget is funding 6% of your delivery cycle

By

Rushali Parikh, Sapan Parikh

Why Companies Become Stuck In Bad Coding Loops — And How To Escape Them

By

Sapan Parikh

Voice Technology in Healthcare: A Comparative Analysis of TTS and STT Models

By

Yogendra Jaiswal

Understanding Technical Debt!

By

Sapan Parikh

The Importance Of Committing Lock Files In Dependency Management

By

Akshay Vadher

The Essential Guide to Tech Migration: Angular JS to Angular

By

Akshay Vadher

Standup Meeting Playbook

By

Akshay Vadher

Software Modernization for Legacy Software

By

Sapan Parikh

Remote Working at Incubyte: Embracing A Culture of Structured Flexibility

By

Rushali Parikh

Questions teams ask before the first call.

What does Incubyte do?
Incubyte is a custom software engineering company for US health tech. We build and ship your product using AI, with engineering craft like test-driven development, pair programming, and spec-driven development. We also build AI features such as agents and retrieval-augmented generation directly into products.
AI runs through our whole build, not just autocomplete. We plan with it, generate against specs and tests, and review its output the way we review a person’s. The craft decides what good looks like. AI helps us get there faster.
Spec-driven development means writing a clear, testable specification before any code is generated, then building and reviewing against it. It is the core of how we build with AI: the spec is the contract, so AI-generated code stays on target instead of drifting. Our open-source plugin Bee runs this workflow on every feature.
We write a failing test first, then have AI generate the minimum code to pass it, then refactor. The test defines done, so the AI has a precise target and the output is verified, not just plausible. TDD with AI is what keeps speed from turning into silent bugs.
We practiced craft first. Test-driven development, pairing, and clean code were how we worked for years before AI arrived, so AI amplifies real discipline instead of hiding its absence. We also built that craft into Bee, our open-source plugin, so you can read exactly how we work.
Bee is Incubyte’s open-source, spec-driven development plugin for Claude Code. It puts a spec before the code, runs real test-first cycles, carries context across sessions, and reviews code against your standards and your git history. Every Incubyte engineer builds through it.
Yes. Bee is public and free to read, run, and fork. Point it at your own repository, or watch the walkthrough that takes a feature from first spec to final review. It is the clearest way to see how we build before you talk to us.
Most products go from an empty repository to a live MVP in under 90 days, and several have shipped in under a month. We build in working slices from the first week, so you see real software early instead of waiting for one large release.
Quality is built into the workflow. We work spec-first, test-driven, and in pairs, with refactoring as a standing habit through Bee. The speed comes from code that does not break, so you are not paying it back later in bugs and rework.
Staff augmentation places individual contractors on your rate card. We embed a small pod that owns an outcome and builds through Bee. You get shipped software and a team accountable for results, not seats filled and hours logged.
Yes. We build HIPAA-compliant software and AI for US health tech, with PHI handling, access controls, and audit trails designed in from the start. We are SOC 2 Type II and ISO 27001, and we sign a BAA on every engagement that touches PHI.
Compliance lives inside the build, not at the end of it. Spec-first development, paired review, and version control mean every change traces to a person and a reason, and PHI handling is designed into the architecture rather than reviewed after the fact.
Yes. We build EHR-native, integrating with Epic, Cerner, Athenahealth, and other systems through the standard interfaces each supports, including HL7 and FHIR. The AI is designed around the clinical workflow rather than bolted on beside it.
Retrieval-augmented generation grounds an AI model in your own data so its answers are accurate and traceable instead of generic. We build production RAG systems for health tech, with the retrieval, evaluation, and guardrails that make answers defensible. Rolai, which we built end to end, is a RAG platform wired to more than twenty models.
We build AI agents that take real actions inside your product, with the guardrails, evaluation, and audit logging regulated environments require. Agents are designed against a spec, tested, and reviewed like any other critical system, so they behave predictably in front of patients and auditors.
AI products and platforms, including retrieval systems, agents, and model-backed features, plus the product and platform engineering underneath them. Recent work includes Rolai, an enterprise AI platform, and a Medicare compliance system that reviews call audio at scale.
Payer technology, provider and EHR-native systems, and behavioral health. We build the products and the AI on top of them with the accuracy, workflows, and compliance each of these areas demands.
Forward-deployed engineering means embedding engineers inside a customer’s product and reality, shipping against their real environment instead of from a distance. For AI platforms, that embedded bench is the moat. Through the FDE Foundry, we build that bench for you and transfer it to your team.
The FDE Foundry is our build, operate, and transfer model for founders. We stand up a forward-deployed engineering bench inside your product, run it until it is humming, then transfer it to your team. You own the capability, not rent it forever.
We price to the outcome and the pod, not to hours. A first outcome usually takes weeks, not quarters, and larger platform or Foundry engagements run longer. We walk you through scope, shape, and price on the first call.
Both. We work with funded health tech startups building a first product and with established companies modernizing or adding AI. Engagements are scoped to the outcome and the pod, so the model fits a seed-stage MVP or a platform team.
Incubyte was founded by Sapan and Rushali, who still lead the engineering culture. The team is fully remote and builds in the open, sharing tools like Bee and writing about what we learn.
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