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
Lorem ipsum dolor sit amet,
consectetur adipiscing elit,
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.
Test-first, always.
A failing test sets the
target. Code earns its way
in by passing it, not by
looking right.
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.
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.
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.
AI work that compounds across your engineering organisation.
Adoption, codebase, 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 organisation. Productivity that holds past the first quarter.
Learn More →
AI Modernization
The infrastructure that makes AI adoption safe, measurable, and consistent across your engineering organisation. Productivity that holds past the first quarter.
Learn More →
AI Product Engineering
AI features built into your product by senior engineers who use AI well. Shipped to your standards, paired and tested.
Learn More →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.
Compliance review, claims processing, and member-facing AI, defensible across CMS and Medicare audit cycles.
Book a Demo →
PROVIDER TECH
Clinical workflows. EHR-native.
Provider directory, pre-procedure engagement, and ambient documentation, EHR-native against Epic, Cerner, and Athena.
BEHAVIORAL HEALTH TECH
Therapist matching. Member engagement.
Therapist matching, member engagement, and MAT pipelines, built 42 CFR Part 2 by design.
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.
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
OpenAI’s reported price for Tomoro’s 150 forward-deployed engineers. Out of reach for the rest of the AI platform market.
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.
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 PATHThe team behind the rigor.
Founded 2020 by Sapan and Rushali.
140+ engineers. Fully remote. Founder-led.
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.
What we have written
Three pieces from the engineering team on
shipping AI inside US health tech.
August 04, 2026
Provider Tech
Questions teams ask before the first call.
What is Flo?
Flo 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
What does building with AI actually mean here?
Our approach integrates LLMs into the development workflow to accelerate architecture,
testing, and deployment.
What is spec-driven development?
We write comprehensive specifications before writing code to ensure alignment and minimize
rework.
How do you do test-driven development (TDD) with AI?
We prompt models to generate failing tests first, then implement the code to pass them.
Do you work with existing teams?
Yes, we embed directly into your workflows and adapt to your standards.
What is Bee?
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since 1966, when designers at Letraset and James Mosley, the librarian at St Bride Printing Library in London, took a 1914 Cicero translation and scrambled it to make dummy text for Letraset’s Body Type sheets. It has survived not only many decades, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised thanks to these sheets and more recently with desktop publishing software like Aldus PageMaker and Microsoft Word including versions of Lorem Ipsum.