Available Q2 2026 · US & Canada

We build AI that
runs your operations and powers your product.

Most SaaS teams are running on 10–20 hours of manual work every week that nobody has fixed yet.

At the same time, AI features sit on the roadmap sprint after sprint — never prioritised because the engineering team is already at capacity.

We fix both problems.

Book a 20-minute call See what we've built

Trusted by venture-backed SaaS companies in FinTech, HealthTech, ClimaTech, and EdTech across the US and Canada.

// running in production
$ deploy --sprint 01 --client presto
 
✓ lead_research_agent active
✓ crm_sync running
✓ 14h → 1.8h weekly (series_b_saas)
 
// next up
$ deploy --sprint 02 --track product-ai
14h → 2h
Lead research time saved
4×
Platform performance lift
4–6 wks
Fixed sprint delivery
$0
Hiring overhead
Three service lines

What we build

Pick the one that matches where you are right now. Most clients start with one and grow into the others.

For ops and operations leaders Entry point
AI Workflow Automation
Automate what's slowing your team down. In 4–6 weeks.
We identify the highest-leverage workflow your team is doing manually, build an AI agent to own it, integrate it into your existing tools, and hand it over running. Fixed scope. Fixed price.
sales ops support finance product
Scope your workflow →
For CTOs and technical founders
AI Product Engineering
Dedicated AI engineering team. Full ownership. Ships fast.
We become your dedicated AI engineering team — owning AI feature tracks in your product end-to-end. Architecture, implementation, monitoring, incidents. We're in your standup every day.
copilots llm rag agentic
Book a technical call →
AI infrastructure
AI Infrastructure & ML in Production
The AI backend your product needs to run reliably at scale.
Getting a model from notebook to production is a different engineering problem. Latency, cost controls, observability, reliability — we've solved these before and we know where the failures happen.
rag sagemaker qdrant observability
Talk to engineering →
How it works

How we work

01
We scope it fast

Tell us the workflow or feature. We'll map it against our delivery framework in a 20-minute call and tell you honestly if it's a fit. If it is, we scope it on the spot.

02
We own the delivery

Fixed scope, fixed timeline, clear success metric. We integrate into your tools and your team from day one. No handholding required.

03
We hand it over running

Not a prototype. Not a proof of concept. A working system integrated into your existing stack — with documentation, monitoring, and a handover that actually makes sense.

What clients say
“Working with NH66.ai feels like having an internal engineering team — high ownership, focused on business growth, not just ticking off deliverables.”
CEO
Series B EV startup · California
Available as a reference on request
“We went from a notebook model to a production recommendation engine on SageMaker in 14 weeks. 4× platform performance improvement.”
CTO
Funded medical EdTech
Who we are

Built and shipped since 2016.

Founded in 2016. Led by engineers who have built, shipped, and operated production systems across FinTech, HealthTech, ClimaTech, and EdTech.

Our CTO is the first Python Fellow from India and the founder of PyCon India. Our CEO holds an MBA from UC Berkeley's Haas School of Business and a CS degree from NIT India — and has been a developer, management consultant, product leader, and founder.

Offices in Kerala (India), California, and Canada.

Learn more about us →

Questions

Frequently asked

What does NH66.ai do?

NH66.ai is an AI engineering studio for venture-backed SaaS companies. We build AI agents that automate manual operations and ship AI features into products — delivered as working, production-integrated systems rather than prototypes.

How long does a project take?

Most engagements run as fixed 4–6 week sprints with a fixed scope, fixed timeline, and a clear success metric agreed up front.

Who do you work with?

Venture-backed SaaS companies across FinTech, HealthTech, ClimaTech, and EdTech in the US and Canada — typically working with ops leaders, CTOs, and product teams.

What services do you offer?

Three service lines: AI Workflow Automation (automating manual operations), AI Product Engineering (shipping AI features into your product), and AI Infrastructure & ML (the platform and models underneath).

How do we get started?

Book a 20-minute call. We map your workflow or feature against our delivery framework and tell you honestly whether it is a fit — and if it is, we scope it on the spot.

For ops leaders

Have a workflow your team does manually?

Tell us what it is. We'll tell you honestly if AI can fix it in 4–6 weeks.

Book a 20-minute call
For CTOs and product teams

Have AI features stuck on the roadmap?

Talk to our engineering team about owning a track.

Book a technical discovery call