AI & ML Integration
Embed intelligence into the product you already have — semantic search, recommendations, document understanding — without a rebuild.
What's included
LLM feature integration
Summaries, drafting, Q&A, and classification added to your existing web or mobile app.
Semantic search
Search that understands meaning, not just keywords, over your content and catalog.
Document processing
Extract structured data from PDFs, invoices, and forms automatically.
Model selection & cost control
The right model per task, with caching and fallbacks that keep bills predictable.
Stack we use
Good fit if you're
Running a product users love that competitors are adding AI to.
Handling documents or media that need structure extracted at scale.
Wanting AI features with a fixed budget and clear scope.
Use cases we deliver
Semantic search
Customers and staff search by meaning, not keywords — across products, documents, and tickets.
Summaries & drafting
Summarise threads, generate replies, and draft reports inside your existing screens.
Document intelligence
Extract structured data from PDFs, invoices, forms, and contracts straight into your database.
Classification & routing
Auto-tag, prioritise, and route tickets, leads, and content.
Recommendations & personalisation
Real-time recommendations that blend behaviour, inventory, and intent.
Voice & multimodal
Speech-to-text, image understanding, and voice assistants inside web and mobile apps.
How the engagement runs
What you receive
- AI integration architecture & model selection
- AI service layer with provider-agnostic routing
- Retrieval layer (vector + keyword) where needed
- Evaluation suite and cost dashboard
- Feature-flagged rollout with monitoring
- Documentation and handover
Frequently asked questions
Do we need to rebuild our app to add AI?
No. We add an AI service layer alongside your existing backend and integrate through APIs. Most features ship without touching your core architecture.
Which frameworks and languages do you support?
React, Angular, Vue, Next.js, Node.js, Laravel, Django, .NET, Flutter, Swift, Kotlin — if it has an API, we can integrate.
How do you keep AI costs predictable?
Model routing by task, prompt caching, batch processing for background work, and a per-feature cost dashboard reviewed monthly.
Will our data be used to train models?
No. We use enterprise API terms with zero retention, or private deployments for sensitive data.
Can you fine-tune a model for us?
When you have thousands of labelled examples and a stable task, yes. Most projects get better results faster from retrieval and prompt engineering.
Want AI inside your existing product?
Reply within one business day with a tailored proposal.
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