Building AI That Ships and Scales

We Think AI (WTA) is a GenAI Product Engineering Company. We combine a 90/10 AI accelerated delivery model with CMMI aligned governance to launch enterprise software in under 12 weeks.

Building AI That Ships and Scales
Building the future
Our Story
Revenue generated for our customers
We started with a simple idea: ship useful software faster, without trading off security or quality. It began with a humble beginning and a little passion!
Get In Touch
Get In Touch

Meet Our Leadership

Seasoned leaders who pair enterprise governance with product speed execution across AI, platforms, and delivery.

Manish Surapaneni

Manish Surapaneni

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Sudheer Devulapally

Sudheer Devulapally

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Enoch Pakanati

Enoch Pakanati

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Shilpa Surapaneni

Shilpa Surapaneni

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Big Numbers, Even Bigger Dreams.

2015
Established
350+
Clients Served
100+
Industries Engaged
215+
Platform Transformations

WTA  Core Values

A simple set of principles that guide how we build: outcomes, craft, integrity, collaboration, learning, and lasting impact.

Customer Obsession

Start with business unparalleled outcomes; design backward from user value for greater deliveries.

Innovative Thinking

Prototype fast, learn faster, and scale what works with user testing, guardrails first design, and evidence‑based decisions in every sprint.

Quality & Integrity

Ship with standards, security, accessibility, and clear audits, so every release is reliable, traceable, and compliant across environments.

Team Collaboration

Cross functional pods solve end‑to‑end, product, design, data, and engineering aligned on outcomes, ownership, and clear communication.

Continuous Learning

Upskill constantly; share play books; improve every sprint via retros, peer reviews, and labs that turn lessons into reusable accelerators.

Unparalleled

Build systems that last resilient, cost‑aware, and responsible, with observability, performance tuning, and ethical and environmental guardrails.

Our Global Presence

We are local where it matters and global where it helps. Distributed pods collaborate across time zones while anchoring work close to your teams and data, offering speed, coverage, and context, without compromising governance or support.