AI-native technology & engineering partner

Engineering the next generation of intelligent businesses.

SpurTree combines deep software engineering expertise, applied AI and proprietary technology platforms to help businesses build, modernise and scale technology.

Our platformsADISADISThe Agentic AI Software FactorySGSpurgenticEnterprise automation accelerator

Built and used by our own delivery teams before they reach yours.

2010
Engineering since
US · India
Offices and delivery
6
Proprietary platforms
5
Industry focus areas
Teams that shipped with us
  • Computershare
  • IKEA
  • For Eyes
  • Shell
  • Petron
  • Bira 91
  • Titan Cloud
  • Aiden
  • Abbott
  • Baby Sparks
What we do

Three capabilities, one engineering organisation.

From enterprise applications to production AI to an AI-native delivery model — each backed by the same engineering discipline.

All capabilities →
Digital Engineering

Digital Engineering

We design and build enterprise applications, SaaS products and web and mobile apps, modernise the systems you already depend on, and keep them healthy after launch. One team owns requirements, UX, engineering, quality and delivery, so nothing falls between vendors.

Explore Digital Engineering →
AI Solutions

AI & Intelligent Solutions

We start with the business problem, not the model. Our AI practice finds the use cases worth funding, builds generative and agentic AI solutions on your data, integrates them with the systems your teams already use, and puts the security, evaluation and monitoring in place to run them with confidence. One team covers the whole path, from first workshop to a monitored system in production.

Explore AI Solutions →
AI-Native Engineering

AI-Native Software Engineering

We change how software gets built, not just how fast one developer types. SpurTree delivery teams work inside ADIS, our AI software factory, where agents handle requirements analysis, design mapping, code generation, test creation, debt tracking and security scanning. Our engineers specify the work, review every plan and diff, and approve each change before it ships. Every requirement traces through to the code, tests and security evidence that satisfied it.

Explore AI-Native Engineering →

Also: Cloud & Data — cloud architecture, migration, data platforms and analytics.

Proprietary platforms

Technology we built, run ourselves, and bring to your work.

ADIS and Spurgentic are our differentiators: they shape how we deliver, and you can adopt them on their own.

All platforms →
The Agentic AI Software Factory

ADIS

Agentic AI runs requirements, design, build, test, maintenance, observability and security scans as one traced system — with a human approving every gate.

  • Requirements-to-test traceability grid
  • Agentic development under approval gates
  • Automated security scanning
  • Jira and Azure DevOps sync
Enterprise automation accelerator

Spurgentic

Business rules authored in plain language, compiled into deterministic, auditable code — no LLM in the run path, least privilege by design.

  • Plain-language rule authoring
  • Compilation to deterministic code
  • Least-privilege execution boundary
  • Full change audit trail

The Off1ce ecosystem

Independent products for running a modern services business. Each stands on its own; they share engineering foundations rather than a forced bundle.

Explore the ecosystem →
Proof, not promises

Trusted by teams that shipped real work with us.

Our work →
Computershare
Custom Software Development
IKEA
Custom Software Development
For Eyes
Custom Software Development
Shell
Custom Software Development
Petron
Custom Software Development
Bira 91
Custom Software Development
Titan Cloud
Cloud Engineering
Aiden
Data Engineering
Abbott
Custom Software Development
Baby Sparks
Custom Software Development
Industry expertise

Engineering that starts from your industry's problems.

All industries →

Healthcare & Life Sciences

Software, data and AI for organisations where accuracy, privacy and auditability are not optional.

Financial Services

Data platforms, workflow automation and enterprise applications for regulated financial businesses.

Retail & Consumer

Digital commerce, analytics and business automation for brands that live and die by the customer experience.

Enterprise Technology & SaaS

Product engineering, platform modernisation and AI-native development for software companies.

Energy & Industrial

Operational systems, analytics and enterprise integrations for asset-heavy businesses.

How we engage

Four ways to work with us.

Pick the model that matches the decision you're making — and change it as the work evolves.

PRJ

Project delivery

A defined outcome, scope and plan — we own the build from discovery to release.

POD

Dedicated engineering PODs

A stable, AI-native team that works as an extension of yours, with ADIS in the loop.

ADV

Consulting & assessments

AI readiness, modernisation assessments and roadmaps before you commit to a build.

OPS

Managed engineering

Ongoing maintenance, support and continuous improvement for systems already in production.

Who's behind it

Led by people who still ship.

Leadership →

Keval Prabhu

SVP Engineering

Subhod C M

SVP Business Operations

Naresh Bhat

SVP Global Sales

Vivian Abraham

VP Engineering

Dave Hickman

President, Americas

Naveen Ganapathy

VP Technology

Girish Shenoy

VP, Data & AI Services
Insights

Field notes on building software with AI.

All insights →
Software Engineering · August 14, 2026

What walks out the door when your senior engineer quits

Every team has one: the person who knows why the payment service retries three times, which module nobody touches on a Friday, what that undocumented flag really does. None of it is in a repo. It's in their head, and it leaves when they do. What it costs to keep it there, and what to do instead.

Software Engineering · August 14, 2026

Nobody knows when the documentation was last true

Ask a team for their requirements docs and you get a link. Ask when it was last accurate and the room goes quiet. Why the docs drift, what the gap costs once people start making decisions on it, and what changes when you derive the description from the code instead.

AI · August 13, 2026

Everyone has their own AI now. That's the problem.

Every role got its own AI, everyone got faster, and projects ship on the same dates as before. The reason is structural: each assistant runs in its own context window and can't hand anything to the next one. What we changed so the work carries forward.

Start a conversation

Tell us what you're trying to build, modernise or scale.

A senior engineer reads every enquiry. You'll hear back within one business day.

Looking for a product demo? Request an ADIS demo or a Spurgentic walkthrough.

How can we help?

What can we help with?

We read every message and will route it to the right person within one business day.