We spend time in your problem before we touch a keyboard — mapping users, data, and constraints so we build the right thing, not just a working thing.

Build

Senior engineers ship in tight loops, with architecture decisions made deliberately and AI woven in from the first commit, not bolted on at the end.

Scale

We stay in the loop after launch — watching performance, cost, and reliability as usage grows, and tuning the system as real-world data comes in.

Case studies

Real systems, shipped and running

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Fintech & Banking

AI-Powered Underwriting Platform for a Growing Lender

Replacing a manual underwriting process with an AI-assisted platform that scores risk consistently and scales with loan volume.

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Healthcare & Life Sciences

Patient Intake Automation Across a Multi-Location Provider

Digitizing patient intake and connecting it to the existing EHR to cut check-in time and eliminate duplicate data entry.

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E-commerce & Retail

Headless Storefront Replatform for a DTC Retail Brand

Migrating a slow, template-bound storefront to a headless architecture built for speed during high-traffic sale events.

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Education & EdTech

Adaptive Learning Platform for an Online Education Provider

Replacing one-size-fits-all course content with an adaptive platform that responds to how individual students actually learn.

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What clients say

Trusted by teams who ship

“Supereva didn't just build what we asked for — they pushed back on the parts that wouldn't scale and were right to. Our intake platform has handled 3x the load without a rewrite.”

Ananya Rao

VP of Engineering

“We came in with a rough idea for an underwriting model. Supereva shipped a production system in weeks, not quarters, and stayed close through every iteration after launch.”

Daniel Cho

Founder & CEO

“What stood out was how little hand-holding it took. Their engineers understood our domain fast and made calls we didn't have to second-guess.”

Priya Menon

Head of Product

“The replatform was supposed to be disruptive. It wasn't. Supereva planned the migration so carefully that our team barely noticed the cutover.”

Marcus Webb

CTO

From the blog

Notes from building AI-first software

Read the blog

AI Engineering

How to Evaluate an AI Vendor Before You Sign a Contract

AI vendor demos are easy to make impressive. Here's what to actually check before you commit budget and data to one.

July 11, 20262 min read

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AI Engineering

RAG Is Not a Silver Bullet: When Retrieval-Augmented Generation Actually Helps

RAG has become the default answer to "how do we make the model know our data." It's often the right one, but not always, and not for the reasons people assume.

July 2, 20262 min read

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Software Development

Five Signs Your Codebase Is Ready for a Rewrite (and Four Signs It Isn't)

Rewriting a system is one of the highest-risk calls a team can make. Here's how to tell whether it's actually warranted, or whether the real fix is smaller than it feels.

June 20, 20262 min read

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