AI Engineering
Ecommerce Engineering
Product Engineering
Product Design
Platform & Integrations
Managed Engineering
AI That Puts
People First.
How good is an AI feature? That comes down to how much it actually helps the person using it. We build features people can trust: measured, checked, and clearly labeled.
We didn’t build an AI page around a hypothetical.
Every claim on this page ties back to work that shipped. Where we don’t have a shipped number, we say so.
0%
of the numbers on this page are projected, modeled, or aspirational.
The Rules We Follow on Every AI Build
An AI feature is only as good as the value it adds to the person using it. These are the rules we hold to on every engagement.
People Before Models
Real Numbers Only
Honest About Limits
People Stay In Control
What Our AI Practice Does
Six ways we build and run AI in production. Each one is scoped, measured, and owned after it ships, not handed over and forgotten.
AI Feature Engineering
Production AI features built into client products and into our own tooling. Every feature we ship goes into a build log anyone can check.
ScoreSmart.ai, AI analytics platform
AI Readiness Audit
Before any model goes near production, we check the data, the use case, and the risk. You get a plain go or no-go, not a pitch to build something.
Evaluation Harnesses
Test sets and scoring that show whether a model actually improved or just changed. We grade every release against the last one, never against a good demo.
Retrieval & RAG Systems
Pipelines that answer from your own documents and cite where each answer came from, so nothing gets invented on the way to the user.
Model Integration & APIs
Wiring models into the stack you already run, with routing, rate limits, fallbacks, and guardrails that stop a bad response before it reaches anyone.
AI Support & Monitoring
The long-horizon ownership an AI system needs after launch: watching for drift, retraining when inputs shift, and clear SLAs on response and fixes.
How We Ship AI That Holds Up
Every AI project runs the same loop. We check the problem and the data first, prove value on a small slice, then integrate, ship behind a label, and keep measuring.
Problem and data check
We start with the real problem and the data behind it. If the data cannot support the feature, we say so before anyone writes a prompt. A fair share of AI ideas we look at do not need a model at all.
Prototype and evaluation
We build a narrow prototype and its evaluation set at the same time. The eval set is how we prove one version beats the last, instead of trusting a demo that happened to go well.
Integration and guardrails
We wire the feature into the real product with fallbacks, rate limits, and guardrails, so a wrong or low-confidence answer never reaches a user unlabeled.
Ship, measure, and own
We ship behind a clear label, watch it in production, and keep scoring it. When inputs drift or quality drops, we retrain or roll back rather than hope it settles.
Selected Clients’ Success Stories
Shipped AI and platform work with the numbers attached. Every card links to what we built and what changed once it went live.
What Clients Say About the AI Work
What clients say about working with us.
I have been working with Sookshum Labs directly and indirectly for over two years and very much recommend this company. We have been commissioning apps and websites for our clients in the UK using Sookshum Labs development services.
Our journey into the world of eCommerce started around eight months ago. We knew what we wanted but had no idea of how to get there. Sookshum-Labs patiently guided us and worked with us, at our speed, to build an eCommerce store we are proud of. Right from the start we found them to be professional and efficient. They did what they said they would do, on time and as agreed. We never had to push them for deliverables. Their project management was tight, and I felt we were always in control of our project. I would not hesitate to work with Sookshum-Labs again.
We have been working with Sookshum Labs for close to two years and they are outstanding. We have a fairly complex ecommerce site and regardless of the problem, Vipin and his team are fast to respond, fix, and offer solutions that have really helped our company. They are incredibly strong communicators, do excellent and fast work, and I could not recommend them more highly.
I had the pleasure of working with the Sookshum Labs on various projects (Magento – mobile development) and I recommend them for their attention to details and ability to deliver high quality web design. The team went above and beyond our expectations. I would strongly recommend them.
Wonderful experience with Sookshum Labs team. Projects were estimated accurately, team was responsive and clear, launches were smooth and they were able to accommodate some complex customizations and commerce rules. Thank you!
Moved our whole mobile and web build here after our last vendor missed the timeline and blew the budget. Three stores then, five now.
I have worked with Sookshum Labs many times now. I am always impressed by their professionalism, the high quality of their work, and their timeliness in completing work by the due date. I highly recommend them to anyone in need of engineering and development services. Keep up the great work!
Sookshum Labs team are very good at what they do. I recommend them strongly.
Talk to the practice, not a sales queue.
30 minutes with an engineer who has shipped this exact problem before.