Built on experience. Early stage on purpose.

Shivya Technologies is a founder-led company built on a track record of shipping production AI inside startups — agentic AI platforms deployed across insurance, banking, fintech, healthcare, and other regulated industries.

Why this company exists

Deployment is the hard part. Nobody was staffing for it.

Across insurance, banking, fintech, healthcare, and compliance-heavy software, the same pattern kept showing up: teams could get an AI feature working in a demo, and then spend months stuck getting it into production — blocked by data constraints, integration surfaces, and infrastructure decisions nobody made early enough.

Shivya Technologies exists to be the team that stays for that part. We're not a strategy shop that hands off a slide deck, and we're not a model vendor that ships an API key and disappears. We design the architecture, deploy inside your infrastructure, and stay through scaling.

What "early stage" means here

We say it directly because it's true, and because it's more credible than pretending otherwise: we're a new company, a focused team of around 7 people, and we don't have client logos to show yet — client work stays anonymized while engagements are ongoing. Our orchestration platform is in active development, not a finished product.

What we do have is a track record built before Shivya existed. See where that experience applies.

Where this comes from

Built on real depth, not a slogan.

A team, not a solo act

Shivya Technologies is a small working team — architects who've designed production systems before, engineers trained specifically on today's AI stack (from classical ML through current LLMs and SLMs), and people who chose early-stage work because they want to build, not maintain. That's who does the work day to day, not one person with a deck.

The leadership team brings 30+ years of combined experience in technology. One of the leaders brings 10+ years specifically in AI design, development, and architecture — including building and scaling AI/data-science functions from zero to 15+ engineers across three companies, and shipping 12+ AI products across insurance, banking/AML, fintech, healthcare, and compliance. That includes architecting agentic, multi-agent platforms handling tens of millions of records in regulated environments where explainability and audit trails are mandatory, not optional, plus a provisional patent for an original AI methodology with no prior-art analog.

That's the depth the team builds on — not a group learning AI deployment for the first time.

Depth across the AI stack

The team's expertise spans classical ML and data science through to the current generation of large and small language models (LLMs and SLMs) — including how those models represent meaning internally, in vector/latent space, not just how to prompt them.

Multi-cloud deployment

Production experience deploying and scaling across AWS, Azure, and GCP — so infrastructure decisions follow a client's existing commitments and compliance constraints, not a single vendor's ecosystem.

Not an acronym: Shivya draws from the Sanskrit root Shiva, long associated with transformation and renewal. We read it as a name for AI that doesn't just automate what already exists, but changes how a business actually operates once it's deployed.

Want to know more before reaching out?

Happy to talk through our background in more depth, and whether it maps to what you're working on.

Get in touch