Weave AIinto the products & workflows you already run
We integrate leading AI models into your app, backend and automations — from LLM APIs and RAG pipelines to agents and tool use — so your product ships smarter features and your team stops doing work AI can do.
- AI embedded into your existing systems
- Grounded in your data with RAG
- Reliable, guardrailed and production-ready
150+
AI solutions delivered
From AI hype to AI that ships real value
Plenty of teams experiment with AI; few ship it reliably. We integrate the right models into your product and workflows, ground them in your data with RAG, and wrap them in guardrails and evaluation — so your AI features are accurate, safe and production-ready.
- AI embedded into your existing systems
- Grounded in your data with RAG
- Reliable, guardrailed and production-ready
- Right model for the job — quality vs cost
- You own the code and the architecture
Everything you need to ship AI into production
LLM API Integration
Integrate Claude, GPT and other leading models into your app, website or backend with clean, secure architecture, streaming responses and proper prompt engineering.
RAG & Vector Search
Retrieval-augmented generation pipelines with embeddings and a vector database so AI answers from your own documents and data — accurate, cited and always up to date.
AI Workflow Automation
Embed AI into your automations with n8n, Zapier, Make or custom code — summarizing, classifying, extracting and routing data across the tools your team already uses.
AI Features in Your Product
Ship AI features your users love — smart search, content generation, recommendations, summarization and assistants — designed and built into your existing product.
Agents & Tool Use
AI agents that call your APIs and tools to get real work done — looking up data, taking actions and orchestrating multi-step tasks with reliability and guardrails.
MLOps, Guardrails & Monitoring
Production-grade deployment with evaluation, guardrails, caching, cost controls and monitoring so your AI features stay accurate, safe and affordable at scale.
Why our AI integrations win
- Integrate Claude, GPT & open models
- RAG pipelines grounded in your data
- Embeddings & vector search setup
- AI features built into your product
- n8n, Zapier & Make AI automations
- Agents with function calling & tool use
- Secure API architecture & key management
- Prompt engineering & evaluation
- Streaming, caching & latency optimization
- Guardrails & content safety
- Cost monitoring & token optimization
- Private / self-hosted deployment options
Keep your AI accurate, fast and affordable
AI moves fast — models change, costs shift and quality drifts. We monitor and evaluate your AI features, migrate to better models, tune prompts and retrieval, and optimize token cost and latency — so your integration keeps improving instead of decaying.
- Model updates & migration to new versions
- Prompt & retrieval quality improvements
- Token cost & latency optimization
- Evaluation, monitoring & guardrail tuning
- New AI capabilities as you grow
Our AI integration process
Discovery & Feasibility
We identify the highest-value AI use cases, check feasibility and define clear success metrics.
Design & Prototype
We choose the right models and architecture and build a prototype to validate quality and cost fast.
Build & Integrate
We integrate AI into your product and workflows with RAG, tools, guardrails and clean, secure code.
Evaluate & Optimize
We evaluate accuracy, deploy to production and keep optimizing quality, latency and cost over time.
An AI partner you can count on
From startups to established brands, businesses choose us for our AI engineers, production experience and evaluation-first approach. We don't bolt on hype — we integrate AI that is accurate, secure and genuinely useful in the real world.
- AI engineers, not prompt hobbyists
- Production experience with LLM apps
- RAG & evaluation to ensure accuracy
- Security, privacy & cost-first mindset
- Fixed pricing with no hidden costs
- Long-term optimization & support
What clients say
about us
Frequently asked questions
AI integration means embedding AI capabilities — like language models, search or automation — into your existing product, website, backend or workflows. It covers API integration, retrieval (RAG) so the AI uses your data, tool use so it can take actions, plus guardrails, evaluation and monitoring to keep it accurate and safe in production.
We work with the leading large language models — including Anthropic's Claude and OpenAI's GPT — as well as open models when self-hosting makes sense. We integrate with vector databases, automation platforms like n8n, Zapier and Make, and build directly against your APIs.
Yes. That's the core of what we do. We securely connect AI to your databases, CRM, documents, APIs and internal tools using RAG and function calling, so the AI works with your real data and can take actions inside your systems — not in a disconnected silo.
We ground responses in your data with retrieval-augmented generation, add guardrails and validation, and build evaluation suites to measure accuracy before and after launch. Where certainty matters, the system can cite sources or defer instead of guessing.
We choose the right model for each task, add caching, optimize prompts and tokens, and monitor usage so you get strong quality without runaway bills. We also tune latency with streaming and batching so the experience stays fast.
Every integration is quoted individually based on scope, models, data and complexity. We provide a transparent, fixed-price proposal upfront, plus optional monthly plans for optimization and support, so you know exactly what you're investing before we start.
Ready to integrate AI that ships real value?
Get a free, no-obligation quote from our AI engineers today.