We're an engineering firm, not an AI reseller. Everything we say we can build, we've already built once and left running where you can go and use it.
There's a specific kind of failure we kept being called in to clean up. A promising prototype. An excited room. Then months of silence, and a system that never quite made it into anyone's hands. Nobody could point at the moment it stalled.
It stalls in the same place almost every time — the gap between something that works once and something that keeps working unattended. That gap is not a modelling problem. It's evals, guardrails, integration with systems that predate the cloud, monitoring, rollback, and someone owning it on the Tuesday after launch.
That gap is the whole job. It's unglamorous, it's where the actual engineering lives, and it's the reason we exist. We named the firm after it: the missing x element — the part everyone skips.
A note on the name.xelement.io is an AI automation and software consultancy in Pune, India. It has no connection to XElement, the class in Microsoft's .NET library, or to other companies with “element” in their name. If you searched for one of those, you are in the wrong place; if you searched for help with AI, you are in the right one.
So we do the least fashionable thing in this industry: instead of telling you we can build it, we built it, left it running, and put it on the website for you to break.
Anything can be made to work once, on a curated example, in front of an audience. The engineering that matters is everything after that: the eval suite, the failure paths, the rollback, the thing still running correctly in month nine when nobody's watching.
Ungrounded generation is a liability dressed as a feature. Every system we build is wired so an answer either traces to a real retrieved passage or gets refused — because a confident wrong answer in front of your customer costs more than the whole pilot saved.
Most AI failures in production aren't the model being wrong. They're the model being wrong and sounding certain. We treat the refusal path as a first-class piece of engineering, not an embarrassing edge case to hide.
Plenty of problems labelled "we need AI" are actually a scheduled job, a better query, or a form with three fewer fields. We'll tell you that, even though it's the version of the answer that bills less.
Source, prompts, evals, runbooks, and the reasoning behind the architecture — handed over, documented, and yours. If replacing us would be painful, we've built it wrong.
If the honest fix is a better workflow rather than a language model, we'll say so — and we'd rather lose the engagement than ship theatre.
No opaque vendor lock-in, no undocumented prompt spaghetti, no architecture only we can maintain. You get the source and the reasoning.
We won't promise an ROI multiple before seeing your systems. Any figure invented at proposal stage is a figure someone has to explain away later.
If we can't measure whether the system is still correct next quarter, it isn't finished — regardless of how well it demos today.
Nobody here is learning on your budget. The people in the room on week one are the people writing the code in week six.
Twenty-one years inside IT operations, most of them keeping systems upright for European banks — five of those years in Oslo. He has been on the receiving end of a vendor pilot that quietly died, which is the entire reason this firm exists and why it is named after the part everyone skips.
Praveen owns the work that never demos well — evaluation suites, rollback paths, and the monitoring that tells you a system has quietly stopped being correct. If something we ship is still right in its third quarter, that is his doing rather than the model's.
Naveed sits between the engineering and the people paying for it: scoping engagements until the deliverable is specific enough to argue about, and turning down the ones where AI is the wrong answer. He is the reason our proposals carry timelines instead of adjectives.
Seven seats across Pune and Hyderabad, on a working day that covers the whole European business day. Senior people only — nobody is staffed onto your project to learn.
Principal AI Architect
Retrieval design, model selection, and the evaluation harness every build is scored against.
Senior ML Engineer
Agent tooling, guardrails, and the fine-tuning or prompt work behind each integration.
Data & Platform Engineer
Pipelines into legacy systems — the extraction, cleaning, and access control that precede any model.
Delivery Lead
Scope, sequencing, and the weekly checkpoint where we show working software instead of a status deck.
Senior Business Developer
Your first conversation with us. He listens before he pitches, runs the free diagnosis call, says plainly when we're not the right fit, and hands you to the right person with the full story so you never repeat yourself.
Solutions Engineer
Integration into your stack — SSO, APIs, the ticketing and CRM surfaces your team already lives in.
Security & Compliance Engineer
Data residency, PII handling, audit trails, and the evidence your risk team will ask for.
After a free diagnosis call, bigger problems get a paid two-week audit of your systems, data, and workflows, credited against the build. We find where AI creates real leverage — not novelty.
We design the end-to-end system — models, pipelines, and integrations mapped precisely to your stack.
We build and ship into production — secure, tested, and integrated with zero disruption to operations.
We monitor, retrain, and expand — turning a first win into a compounding, durable advantage.
After a free diagnosis call, bigger problems get a paid two-week audit of your systems, data, and workflows, credited against the build. We find where AI creates real leverage — not novelty.
We design the end-to-end system — models, pipelines, and integrations mapped precisely to your stack.
We build and ship into production — secure, tested, and integrated with zero disruption to operations.
We monitor, retrain, and expand — turning a first win into a compounding, durable advantage.
No. XElement is a class in Microsoft's .NET library for working with XML. xelement.io is an AI automation and software consultancy based in Pune, India, and is not related to it or to other companies with 'element' in their names.
xelement was founded by Aamir Khan, with co-founders Praveen Musle and Naveed Patel, alongside a bench of AI architects and engineers. The team is based in Pune, India.
No. We turn down engagements where AI is the wrong answer, and we say so on the first call.
Email contact@xelement.io or book a free discovery call at xelement.io/contact.
You'll learn more about how we build in ten minutes with the Labs than in anything we could write about ourselves.