LLM integration

Add AI toyour product

Integrate OpenAI, Claude, Gemini or open-source LLMs into your existing website, app or internal tools, without rebuilding what already works.

Integration scope

Wire AI intowhat you already have

We connect large language models to your existing product, data and workflows, with the prompt design and safety checks that make the feature reliable.

Product AI Features

Summarisation, generation, search or chat features added to your existing app.

Provider Integration

OpenAI, Anthropic Claude, Google Gemini or self-hosted open-source models.

Prompt Engineering

Reliable prompt design, structured outputs and response validation.

Cost & Rate Control

Token usage tracking, caching and rate limiting to keep AI costs predictable.

Internal Tools

Internal copilots for support, sales, reporting or document review.

What we deliver

Clear outputs,not vague promises

01An LLM feature integrated into your existing product or internal tool
02Provider setup (OpenAI, Claude, Gemini or open-source) matched to your accuracy and cost needs
03Structured prompts with output validation so responses stay reliable
04Usage tracking, caching and rate limiting to control ongoing API costs
05Monitoring and a fallback plan for provider errors or downtime

Process

How theproject runs

01We review your product, the feature you want AI to power, and your budget range
02We prototype the feature against real inputs and pick the right model and provider
03We build the integration with validation, caching and error handling
04We launch, monitor real usage and token costs, and refine prompts based on results

Timeline

How manydays are needed

LLM integration timelines depend on how deeply the feature connects into your existing product.

Single AI feature (chat, summarise, generate): 3-7 days
Internal copilot tool: 1-2 weeks
Multi-feature integration: 2-4 weeks
Ongoing prompt tuning: Monthly

Pricing

Starting from$400

LLM integration can start from $400 for a single, focused AI feature.

Single AI feature added to an existing product: starting from $400

Internal AI copilot for support, sales or reporting: starting from $900

Multi-feature LLM integration with cost controls: starting from $2,000

Provider migration or model comparison project: starting from $600

NDA available before sharing product code, prompts or customer data.

How it works

Clear scope,private by default

We can sign an NDA before detailed discovery. After that, we confirm scope, price, milestones, delivery dates and ownership in writing before development starts.

NDA available for confidential ideas, business processes, customer data and internal systems.

Your quote explains what is included, what is not included and what can be added later.

Work is delivered in milestones so you can review progress before the final handover.

Guides

Read beforeyou decide

5 min readHow Much Does Custom LLM Development Cost? 2026 Prices for RAG, Fine-Tuning and Private ModelsWhat custom LLM development costs in 2026: proofs of concept, RAG systems, fine-tuning and private deployments, plus running costs and how to cut them.

4 min readRAG vs Fine-Tuning: Which Should Your Business Use for a Custom LLM?RAG vs fine-tuning explained for businesses: what each does, cost, accuracy, data freshness and privacy, when to combine them, and a simple way to decide.

4 min readHow to Add an AI Chatbot to Your Business Website (That Actually Knows Your Business)How to add a custom AI chatbot to a business website using ChatGPT, Claude or Gemini: RAG on your own content, costs, guardrails, CRM handoff and launch steps.

4 min readAI Receptionist for Small Business: What It Can Do, What It Costs and How to Set It UpWhat an AI receptionist can and can’t do for a small business: answering enquiries, qualifying leads, booking appointments, CRM handoff, costs and setup steps.

What now

Add AI withoutthe rebuild

Tell us what you want AI to do inside your product. We will scope an integration that starts from $400.

Get a free quote Chat on WhatsApp +92 266 379003