Generative AI Development Company
Generative AI development is building products powered by models that create text, code, and images. Laxaar designs and ships these systems: LLM apps, RAG, copilots, and content generation, grounded in your data and evaluated for accuracy so they hold up in production, not just in a demo.
Capabilities built for production.
LLM applications
Assistants, copilots, and natural-language features built on OpenAI, Anthropic, or open models.
RAG systems
Retrieval-augmented generation that grounds answers in your data and cuts hallucination.
Content generation
Generation pipelines for text, code, and images, with review and guardrails.
Fine-tuning
Fine-tuned models when prompting and RAG aren't enough for your task.
Evaluation & guardrails
Evaluation harnesses and safety controls so quality is measured, not assumed.
Integration
Generative features woven into the product and workflows you already run.
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
What is generative AI development?
It's building software around models that generate content, like an assistant that drafts replies or a tool that writes code. The engineering work is grounding, evaluating, and integrating those models so they're reliable.
How do you keep generative AI accurate?
We ground models in your data with RAG, add evaluation suites and guardrails, and monitor accuracy in production. This is where most generative-AI projects quietly fail, so we treat it as core work.
RAG or fine-tuning, which do I need?
Usually RAG, since it keeps answers grounded and current without retraining. Fine-tuning helps when you need a specific style or format that prompting can't reach. Often it's both.
How much does it cost?
A focused generative-AI feature usually starts in the low five figures; a full product is larger. You'll get a fixed-price scope within one business day.
Can you use open-source models?
Yes. We work with hosted APIs and open models, and recommend based on your accuracy, cost, privacy, and data-control needs.
Who owns the system and prompts?
You do. You own the code, prompts, and any models we build for you, and we can build inside your cloud and security constraints.
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.