AI Development Company for Production-Ready AI
Laxaar is an AI-first software development company. We design, build, and ship production AI: agents, generative-AI apps, RAG systems, and ML pipelines, grounded in your data and evaluated for accuracy. Most builds go live in weeks, not quarters. Fixed scope, fixed price, with monitoring from day one.
Capabilities built for production.
AI agents & copilots
Autonomous agents with memory, planning, and tool use, integrated with your stack and evaluated for reliability.
Generative-AI apps (LLM/RAG)
LLM applications and retrieval-augmented systems grounded in your data, with guardrails against hallucination.
ML models & MLOps
Custom models, training, and the MLOps backbone to serve, monitor, and improve them in production.
AI data pipelines
Ingestion, embeddings, and vector search: the reliable data layer that makes models and agents actually work.
AI integration
Add AI to software you already run, through APIs, copilots, and automation woven into the product.
AI strategy & PoC-to-production
Feasibility, scoping, and the path from a working proof-of-concept to a hardened production system.
A partner that ships and sticks around.
Senior, accountable teams
Experienced engineers who own outcomes. No junior hand-offs.
Fixed scope & price
A written scope, timeline, and price before any code, plus a reply within one business day.
Live staging from day one
You'll see real progress continuously and re-prioritise as the product takes shape.
We stay to support it
Monitoring, maintenance, and a real support channel that replies in minutes, not days.
Technologies we work with
Frequently asked questions
How much does AI development cost?
It depends on scope. A focused AI feature or proof-of-concept usually starts in the low five figures; a full production AI product is a larger fixed-scope engagement. We'll send a written scope, timeline, and fixed price within one business day, so there aren't any surprises.
How long does it take to ship an AI product?
Most production AI builds go live in roughly 4 to 12 weeks, depending on data readiness and integration complexity. You'll see a working version on a live staging URL early, and we iterate in the open.
How do you prevent AI hallucinations?
We ground models in your data with RAG, add evaluation harnesses and guardrails, red-team outputs before launch, and monitor accuracy in production. Reliability gets engineered in, not hoped for. Honestly, this is where most AI projects quietly fail, so we treat it as core work, not a nice-to-have.
Do you build custom AI or just integrate existing APIs?
Both. We integrate foundation-model APIs where that's the right tool, and build custom agents, pipelines, and models where it isn't. We recommend the approach that fits your accuracy, cost, and data-control needs.
Who owns the AI system and the IP?
You do. You own the code, the models we build for you, and the IP. We can also work entirely inside your cloud, security, and data-residency constraints.
Can you work with our existing data and security setup?
Yes. We routinely build inside client cloud accounts under their security, compliance, and data-governance rules, including on-premise and private deployments where they're needed.
Related services & expertise
Take your business to the next level.
Tell us what you're building. We'll come back inside one business day with a fixed scope, timeline, and team — or an honest “this isn't a fit”.
Code is useless if it's not comprehensible to those who maintain it. We write code the next person can actually understand.