About Enspirit

Rendering of intent, at the speed of thought.

Enspirit is an enterprise AI transformation partner for companies that build their own software. We put AI inside the software you already ship and measure the result against your own Jira and Git history. Founded in 2008 by Tejas Shah, we are 60 people in Austin, TX and Hyderabad, India.

  • Founded 2008
  • 60 people
  • Austin, TX, US base
  • Hyderabad, India, design and engineering
The Enspirit team in the Hyderabad studio

What we believe

Intent should reach production.

Every product starts as a decision: someone knows what the software should do. Between that decision and a release, intent gets lost. Designers hand off, engineers reinterpret, and what ships drifts from what was decided.

We have spent eighteen years closing that gap. First by putting designers and engineers on one team, so nothing is thrown over a wall. Now by governing how AI does the work, inside the repository, where the work happens.

AI made the second half of our founding line easy and the first half harder. Generating code is cheap. Knowing what is safe to merge, and proving that it moved anything, is not.

So every number we report comes with the query behind it, run against your own Jira and Git history. Not a vendor benchmark, not a slide of projected gains.

How we got here

Three chapters since 2008.

Design-led product work, an AI-native shift that took us longer than we expected, and a company that now owns and operates what it builds.

  1. 2008 to 2025

    Design-led from the first commit

    Enspirit started in Hyderabad with a custom CRM that grew into the operational backbone for four national retail chains. From the start we were design-led: dedicated frontend teams, single-page architecture, and interfaces built to be intentional.

    That craft compounded into 50+ products across travel, healthcare, commerce, and B2B software, for Deem, Nike, Walmart, Dr. Reddy's, BMI, Gritwell and IIDM, among others.

  2. April 2025 to February 2026

    The AI-native shift, honestly told

    In April 2025 we set out to make the whole company AI-native: every designer, engineer, and product manager working with AI in the loop. We struggled to get it right.

    The rhythm landed in February 2026: rules in the repository, skills the team invokes, checks that flag rather than decide, and a baseline to measure against. Those ten months are why our engagements start with four weeks on one workstream. We have been through the transition our clients are about to make.

  3. 2026

    Operating what we build

    The rhythm we run ourselves ships as Enspirit Delivery OS, installed in a client's repository and measured against their own delivery history. We build and run our own products, AURA for release confidence and Tenet for design governance.

    Through Svaas Wellness, acquired from Dr. Reddy's Laboratories, we own and operate an AI-native oncology treatment management platform, with care programs across Latin America and India, and an AI-driven musculoskeletal platform. Owning what we build is the point: we carry the same accountability our clients do.

50+

Products shipped since 2008

70%

Of clients come back

8+ years

Average client relationship

15+ years

Employee tenure

The people

The team that stays.

60 people: about 25% design, 50% engineering, and 10% product management, with operations and delivery support around them. Engineers and designers who started their careers with us 10 to 15 years ago are still here, and they carry context no handoff document can replace.

Leadership

  • Tejas ShahFounder and CEO
  • Ruchi ShahCOOLeads operations and runs Svaas Wellness.
  • Vamshi KumarVP Operations
  • Raju S.VP Engineering
  • G. NagarajuDirector of Design
  • Srinivas ReddyTechnical Project Lead, AI-Native Development

Product leads

  • Karthik P.Senior Product Manager
  • Pragya J.Senior Product Manager
  • Vikram M.Senior Product Manager

How we work

Inside your team, not beside it.

Senior designers and engineers work inside your team: your repo, your standups, your Slack, your CI. You manage the work, we carry the context long enough to matter.

Five services in three layers. Team: Advisory. Product: AI Integration and AI Product Development. Build: Product Design and Engineering. All services.

Talk to the team
  • Start with four weeks

    The first four weeks of Enspirit Delivery OS run on one workstream at a fixed fee, with a cycle-time guarantee. Week one baselines from your own Jira and Git history; week four reports against it and shows the query.

  • Stay embedded

    Embedded teams run 3 to 12 months and beyond, on a monthly fee that grows or shrinks with your roadmap. You keep the governance layer either way.

  • Your product, improved in place

    We improve the codebase you already have, while it keeps running for your customers. No rewrite, no separate squad.

What we hold to

What we do not trade.

  • Evidence, not decks

    We hand over working software measured against your own baseline, not a strategy document.

  • The details are the product

    The smallest decisions are the ones people feel when they actually use the thing.

  • We will tell you no

    If a simpler answer solves the problem, we say so, even when the bigger engagement would pay better.

  • We stay

    The real problems surface at week twelve, not in a discovery workshop, so we are still there at week twelve.

Recognition

Vetted by people who know.

Independent ratings and technology partnerships that hold us to a standard.

From the founder

Tejas Shah, Founder and CEO of Enspirit

I didn't arrive in software through code; I came through design. Before Enspirit, I was building jewelry, where every piece began as an idea that had to survive the journey to scale without losing its soul. That taught me something I have carried ever since: the smallest details are often the most important ones.

Tejas ShahFounder and CEOManufacturing background. Certified Usability Analyst. Pioneered dedicated frontend engineering and single-page application architecture at Enspirit.
About

Four weeks on one workstream. Then you decide.

Tell us what you're shipping and where it stalls. We'll tell you how we'd measure it.