Ship AI Features Customers Actually Trust
From LLM-powered workflows to production-grade AI products — built with the engineering discipline AI systems actually need.
LLM-powered features
Chat, search, and automation built on the model that actually fits the job.
Production-grade pipelines
Not a demo — retries, fallbacks, and cost controls built in from day one.
Evaluation & guardrails
Systematic testing that catches bad outputs before your customers do.
Built to scale & monitor
Usage, cost, and quality tracked from launch, not bolted on afterward.
What happens when AI is bolted on, not built in?
Demos that never reach production
A prompt that works in a demo breaks under real inputs, edge cases, and adversarial users.
Unpredictable costs at scale
Without usage monitoring and caching, a feature that looked cheap in testing gets expensive fast in production.
No way to catch mistakes before customers do
Without systematic evaluation, the first time you learn a model is wrong is when a customer complains.
How do you ship AI features that hold up in production?
Not by wiring up an API call and hoping — with evaluation, guardrails, and monitoring built in from the start, delivered in four clear steps.
Discover
We find where AI actually moves the needle for your product — and where it doesn't.
Prototype
We validate quickly with a working proof of concept before committing to a full build.
Build
A production-grade pipeline with evaluation and guardrails, not just a wired-up API call.
Monitor
We track cost, quality, and drift after launch, and tune the system as real usage comes in.
Why trust us
Built by a team that ships real products for real businesses
A software agency with delivered products across Europe, APAC, Middle East
Hands-on experience with modern AI stacks, not just theory
Evaluation-first approach: we measure quality before we ship it
You keep full ownership — your data, your models, your accounts
Weekly demos during the build, so there are never surprises
Post-launch monitoring and iteration included in every project
Where our engineering shows up
A sample of the work behind the claims — real projects we've delivered for clients.
Ai Monsoon onboarded over 100 users, within the first 60 days of launch,
Ai Monsoon
“As AI adoption grows, users struggle to manage, reuse, and optimize prompts effectively. Prompts are often scattered across notes, chats, and…”
Within 01 week on-boarded all existing products and started handling all the customer orders centrally
Ponte do Ceylon
“We built Aurora Tropics for a client as a custom e-commerce solution tailored to their brand and sales goals. The project focused on flexible landing…”
What Our Clients Say
Don't just take our word for it.
"We’ve been working with Boomatech for over 10 years, and their service has always been excellent. They recently completed our Treetrails Sigiriya hotel website, and within just two weeks, we already received two guest inquiries from organic traffic. Professional, reliable, and results-driven. We highly recommend Boomatech."
Prasanna Meegamage
Founder of TreeTrails Sigiriya
"As the owner of Ponte do Ceylon, we are extremely pleased with Boomatech’s work on developing our Aurora Tropics e-commerce platform. Their team onboarded all our products within just a few days and successfully transitioned us to managing all orders and inventory through the platform. We have been working with Boomatech for the past two years, and they have consistently provided excellent IT services and valuable consultancy. We highly recommend them for their professionalism, efficiency, and reliable support."
Buddika Samarathunga
Founder, Ponte do Ceylon
"Good experience overall. Project took a week longer than initially scoped but the quality of the final product was excellent. Would recommend."
Tom Baxter
Founder, Baxter Builds
What does a rushed AI integration actually cost?
Falling behind AI-native competitors
Competitors shipping real AI features set the bar for what customers expect — every quarter without one widens the gap.
Wasted pilot budget
A proof of concept that never reaches production is spend with nothing to show for it.
Technical debt from rushed integrations
AI features shipped without evaluation or guardrails become the hardest thing in the codebase to trust or change.
These costs don't appear on any invoice — which is exactly why they keep growing quietly, sprint after sprint, until they show up as a feature nobody trusts.
What do you gain by starting this month?
Prototype in days, production in weeks
You'll know if the idea holds up fast, then move straight into a production build.
A defensible AI feature
Evaluation and guardrails built in mean you can improve it with confidence, not fear.
Free feasibility review
Start with a no-obligation review of where AI fits your product, with a fixed quote.
Answers to the questions teams ask us about AI
Start with a free feasibility review
Tell us what you want AI to do, and we'll show you exactly what's feasible, what it costs, and where the risks are — with a fixed quote.