RAG knowledge assistants
Answers grounded in your documents, with citations, access control and freshness checks.
Generative AI development
Generative AI development company
LLM applications, copilots and knowledge assistants built on your data, tested properly and ready for real users.
Overview
Generative AI that holds up in production
Large language models can draft, summarise, answer, classify and take actions. Getting them to do this reliably for your business takes careful engineering: retrieval over your content, structured outputs, tool use, guardrails, evaluation and cost control.
AnAInfo designs and builds generative AI applications end to end, from the first prototype to monitored production systems.
What we build
Generative AI solutions
Copilots
Assistants inside your product or internal tools that draft, explain and complete tasks for users.
AI agents
LLMs that plan and use tools such as APIs, databases and email to complete multi-step work.
Content generation
Product descriptions, reports and marketing drafts generated in your brand voice, with review steps.
Multimodal AI
Understanding images, scanned documents, audio and video alongside text.
Fine-tuned models
Smaller models trained on your examples when you need consistent style, lower cost or on-premise hosting.
Engineering
How we make it reliable
Retrieval design
Chunking, hybrid search and re-ranking tuned to your content.
Structured outputs
JSON schemas and validation so outputs feed other systems safely.
Evaluation
Automated and human-reviewed tests for accuracy, tone and safety.
Guardrails
Input and output checks, topic limits and prompt-injection defences.
Model routing
The right model for each step, balancing quality, speed and cost.
Caching
Reuse of repeated work to cut latency and usage costs.
Observability
Traces of every prompt, retrieval and tool call.
Feedback loops
User ratings and corrections fed into regular improvements.
How we work
Our generative AI development process
- 01
Define the job
What the system should do, for whom, and how success will be measured.
- 02
Prototype
A quick build on your real content to test what's possible.
- 03
Evaluate
An evaluation set of real examples, used to compare models and designs.
- 04
Build
Production application with integrations, security and guardrails.
- 05
Launch
Staged rollout with monitoring and user feedback.
- 06
Improve
Regular tuning as content, models and needs change.
Technology
Models, platforms and tools
Engagement models
Work with us the way that suits you
Fixed price
For projects with a clear scope. We agree features, timeline and cost up front, and deliver in milestones you sign off one by one.
Time & material
For products that will evolve. You pay for the hours worked, with full visibility through weekly reports and a shared task board.
Dedicated team
Developers, designers and testers who work only on your product, managed by you or by our project manager.
Where we work
Generative AI development for the USA, Europe and the UAE
Each market has its own rules for data and AI. We design for them from the first workshop, and plan calls in your working hours.
United States
Generative AI for US SaaS, fintech and healthcare companies, with SOC 2 and HIPAA-aware design.
Europe & UK
Generative AI that meets the EU AI Act's transparency rules for chatbots and AI-generated content, with EU hosting.
UAE & Middle East
Bilingual Arabic and English generative AI for UAE businesses, hosted in-country when needed.
Generative AI development FAQs
Should we use RAG or fine-tuning?
Usually RAG first: it keeps answers grounded in your current content and is easier to update. Fine-tuning helps with style, format or cost at high volume. Our RAG vs fine-tuning guide compares the two in detail.
Can generative AI use our private documents safely?
Yes, with the right design: permission-aware retrieval, providers that don't train on your data, regional hosting and logging of what was accessed.
How do you measure quality?
With an evaluation set of real questions and agreed answers, scored automatically and checked by people, before every release.
Which models do you work with?
Leading commercial models such as Claude, GPT and Gemini, and open models such as Llama, Mistral and Arabic-focused models, chosen per use case.
What are you waiting for?
Let's talk about your project
Tell us what you're building, or what needs rescuing. We reply within one business day.