LIONS AISolutions
About

We build the unglamorous half of AI

Founded in 2019, Lions Ai Solutions is an engineering company that happens to specialise in AI. We care most about what happens after the demo.

We started in 2019 building search and data systems, well before language models made retrieval fashionable. When the current wave arrived, we recognised the problem immediately: the hard part was never generating fluent text. It was making sure the right information reached the model, and knowing when it had not.

That bias shapes everything we do. We build evaluation harnesses before we build features. We measure retrieval quality separately from answer quality, because conflating them hides the actual fault. And we design systems that refuse to answer rather than approximate, because in telecom billing or clinical documentation an invented answer is worse than no answer.

We are roughly thirty people across engineering, research, design and delivery, headquartered in Dhaka 1219 and working remote-first with clients across seven industries. Most engagements that start as a single project become long-term relationships — our client retention sits at 94%, which is the number we are proudest of.

We are not the right partner for everyone. If you want a demo by Friday, there are faster options. If you want a system that still behaves correctly in eighteen months when your documentation has changed and your traffic has tripled, that is the work we do.

By the numbers

Six years of shipping

60+
Products shipped
From first commit to live traffic
7
Industries served
Telecom to healthcare to fintech
6 yrs
Building AI systems
Since well before the hype cycle
94%
Client retention
Most engagements become long-term
Values

What we hold ourselves to

Measure, then claim

We do not say a change improved quality until a number says so. Evaluation is part of the work, not an afterthought.

Refuse over guess

The systems we build say 'I don't know' when they don't. So do we, in client meetings.

Hand it over properly

Our work is successful when a client's own engineers can extend it without calling us.

Small teams, full ownership

Three to six people who own a problem end to end beats a large team with diffuse responsibility.

Structure

How the team is organised

18 engineers

Engineering

Backend, data and ML engineers who ship to production.

5 specialists

AI Research

Retrieval quality, evaluation and model selection.

4 designers

Design

Product and interface design for complex tooling.

3 leads

Delivery

Engagement management and client communication.

Let's talk about what you're building

Tell us the problem. We'll tell you honestly whether AI is the right tool, and what it would take.