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AI Integration & LLM Solutions

AI Integration Services: ChatGPT, Claude and Gemini in Your Product

You do not need to rebuild your software to use AI. We add AI features to the app, website, CRM or internal tool you already have: search over your own data, document understanding, writing assistance and smart summaries, with costs and data access under control.

Common reasons teams call us

If two or more of these sound like your business, there is usually a quick win.

Search that doesn't find things

Users type a question and keyword search returns nothing useful.

Too many documents to read

Contracts, reports or tickets pile up and nobody has time to summarise them.

Repetitive writing

Product descriptions, replies or reports are written from scratch every time.

An AI prototype that's too slow or costly

The demo worked, but production is slow, expensive or gives inconsistent answers.

What we integrate

Built into your existing product, with a clean API layer between your app and the AI provider.

RAG: answers from your data

Retrieval-augmented generation lets AI answer questions using your documents, database or knowledge base, with sources.

  • Document ingestion and chunking
  • Vector search with embeddings
  • Answers with citations

Semantic search

Search by meaning, not exact words. Customers and staff find the right product, policy or record faster.

  • Embeddings-based search
  • Works across languages
  • Hybrid keyword + semantic

Document AI

Classify, extract and summarise PDFs, scans and images, then push structured data into your system.

  • OCR + LLM extraction
  • Summaries and key points
  • Confidence checks

Generation features

Draft emails, product descriptions, reports or personalised content inside your app, in your brand voice.

  • Templates and guardrails
  • Human review step
  • Multi-language output

Model selection & routing

Use the right model for each task. Smaller, cheaper models for simple jobs; stronger models only where needed.

  • OpenAI, Claude, Gemini
  • Cost and latency tuning
  • Fallback between providers

Evaluation & monitoring

Test sets built from your real data, so changes to prompts or models are measured before release.

  • Accuracy test sets
  • Usage and cost dashboards
  • Logging for review

AI models we work with

We pick the model per use case, based on accuracy, cost, speed and where your data is allowed to go. Not every project needs every provider, and some need no large language model at all.

OpenAIGPT models, ChatGPT API
AnthropicClaude API
GoogleGemini API
Your stackEmbeddings, vector search, OCR

Your data stays in systems you control. We use provider settings that keep business data out of model training, and we keep API keys on your servers, not inside the mobile app or browser.

How a project runs

Small first release, measured, then expanded. No big-bang rollouts.

Discover

A 30-minute call to map the process, who touches it and where time is lost.

Design

We propose the smallest useful solution, with a fixed scope and clear success measure.

Build

Working software in short cycles. You see progress every week, not at the end.

Integrate

Connect it to the tools and data you already use. Train your team on it.

Improve

Review real usage, fix what is slow or wrong, then automate the next step.

Proof from our own work

Kidzo AI story generator app screens
Real project

Kidzo: personalised AI stories, live on the App Store

Kidzo generates a unique bedtime story from a child's name, age, chosen theme and the lesson parents want to teach, such as kindness or courage. Behind a simple interface is a prompt pipeline with age-appropriate guardrails and structured output, the same kind of LLM integration we add to business products.

See Kidzo โ†’

Frequently asked questions

Can you add ChatGPT to my existing app or website?

Yes. We add a secure backend layer that talks to the AI provider, and connect your app to it. Your API keys never sit inside the app, and you can switch providers later without rebuilding.

Which is better: OpenAI, Claude or Gemini?

It depends on the task. Each has strengths in reasoning, long documents, speed, cost or multimodal input. We test the options on your real data and pick based on results, not brand.

What is RAG and why does it matter?

Retrieval-augmented generation means the AI first searches your own documents or database, then answers using what it found. It keeps answers current and specific to your business and reduces made-up answers.

Will my data be used to train AI models?

We use API and enterprise settings where business data is not used for model training, and we only send the minimum data needed for each request.

How do you control AI costs?

By choosing the right model per task, caching repeated requests, limiting context to what is relevant and monitoring usage. You see the cost per feature, not one surprise bill.

Can AI features work in Arabic and Hindi?

Yes. Current models handle Arabic, Hindi and many other languages well. We test quality in your target languages before launch.

Tell us what you want to improve

Answer four short questions. We reply on WhatsApp or email, usually the same working day, with honest feedback on whether AI or automation is the right fit.

  • Free 30-minute consultation call
  • No sales pressure, no long forms
  • We tell you if a simpler, non-AI fix will do
2. What do you need?
3. Where is your business?

Submitting opens WhatsApp with your answers so you can send them to our team.

Related solutions

Most projects combine two or three of these.