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

An AI software factory
for health tech.

Our agents and engineers build software at AI speed that works when it ships and keeps improving the longer we work on it.
  • Spec-driven development
  • Test-driven development
  • Continuous delivery
Build it with Incubyte
Three Incubyte engineers
Three Incubyte engineers

Software built around how you work.

Providers

Providers

Any work your teams do by SOP can now be run by an agent. Tools bought off the shelf rarely fit how you work, so we build agents around your processes that do exactly what they’re told.
Payers

Payers

Member calls, claims and prior auth run on strict rules. Our agents check every call transcript for compliance, write the post-call summary and update your systems, on your infrastructure.

Health tech

Your customers are learning they can describe a task and have an agent do it. If your product can’t, they’ll build agents that work around it. We build agents into your product so customers stay inside it.
  • OUR AGENTS

Anthara, the agent factory
inside our work.

Anthara’s agents plan, build, test and review code inside your network, to your rules, and every review makes them sharper.
01

Fewer review rounds

Agents plan, build and test to your rules before an engineer reviews.
02

No vibe coding

Every change starts from a spec and ships with tests.
03

Smarter every week

Each review makes the agents sharper.
Try Anthara on your machine

Put our factory to work.

Most clients start with one and add the others over time.

AI Enablement

The same agents and standards we use, set up inside your network so your engineers build with them every day.
Learn More

AI Enablement

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

AI Product Engineering

New products and AI features built by our agents and engineers, shipped to your standards and improved long after launch.
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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

AI Modernization

Your existing codebase, made ready for agents and improved with every release, so it costs less to change each year.
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 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 full story
PEDIATRIC HEALTHCARE

Bringing AI in pediatric caregiving.

Incubyte built the layer that turns a provider’s spoken goal into a daily prompt caregivers can act on the same day, keeping a child’s progress moving through the 167 hours between weekly sessions.

Read the full story

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

Maxwell Miller
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

Chet Thaker
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

Process Transformation Specialist
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 it’s been a pleasure working with them.

SVP

Consumer Finance Lender

SVP
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

People Development Specialist
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

Head of Engineering
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

Ravish Patel
Incubyte helped us adopt clean coding practices, bring in a focus on automation with CI/CD and automated testing, and create a 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

Kuntal Shah

The engineers behind the agents.

Founded 2020 by Sapan and Rushali. Our engineers set the standards our agents follow and decide what ships.

Certified Services Partner, Claude Partner Network

Incubyte is a Certified Partner of the Claude Partner Network. Every engineer we put on your work is an expert at building with AI.

Meet the team
Incubyte engineers

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.
Incubyte team member

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.

Incubyte team member

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

Review code before the code exists 

By

Sapan Parikh, Rushali Parikh
A development team mobbing around one screen, working through a spec together.” Candid, unposed team photography per the Incubyte style.

20% Is the New 80%

By

Sapan Parikh

Where are the junior engineers?

By

Sapan Parikh
Security testing illustration showing why parameterized queries alone may not prevent SQL injection vulnerabilities, highlighting the need for broader application security testing.

When we realized that using parameterized queries isn’t enough

By

Bhumika Shah, Avani Prajapati
AI and engineering productivity visual showing four lenses for evaluating how AI affects software development and engineering outcomes.

AI is a delivery robot on a road full of potholes

By

Sapan Parikh

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

Questions teams ask before the first call.

What does Incubyte do?
Incubyte is an AI software factory for US health tech and the providers and payers it serves. Our own AI agents and our engineers build and improve your software inside your network, and we stay with it for years.
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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