AI integration and automation, built by senior engineers
We help startups and enterprise teams add real AI features and automate the work behind them, from the APIs to the AWS infrastructure it all runs on. You work directly with the engineers writing the code, not an account manager.
AI features built into your product, not bolted on
We add the AI features your users actually need, designed into the product rather than dropped on top. That means chat and assistants, natural-language search, summarization, classification, and content generation, wired into your existing flows. We build on the models that fit the job, including OpenAI GPT and Anthropic Claude, and keep prompts, costs, and fallbacks under control so the feature stays reliable as usage grows.
- Chat, assistants, and natural-language search
- Summaries, extraction, and classification
- Model choice tuned to quality, latency, and cost
Retrieval that keeps answers grounded in your data
A model is only as useful as the context it can see. We build retrieval-augmented generation (RAG) over your own documents and databases, with vector search and clear source citations, so answers stay grounded instead of guessed. We connect models to your tools and data through the Model Context Protocol (MCP), which gives the AI safe, structured access to the systems it needs without hard-coding fragile integrations.
- RAG over your documents and databases
- Vector search with cited sources
- Tool and data access through MCP
Automation that removes the manual busywork
Most teams lose hours to copy-paste work that moves data between systems. We automate it. We build workflow automation with n8n, Zapier, and Make, or custom code where the logic is too specific for a no-code tool. That covers onboarding steps, data sync, reporting, alerts, and the repetitive tasks your team should not be doing by hand, all connected to the APIs and services you already run.
- Workflow automation with n8n, Zapier, and Make
- Custom integrations across your APIs
- Scheduled jobs, alerts, and reporting
AI agents that complete real tasks
When a single prompt is not enough, we build agents that plan and act across several steps. Using function calling and tool use, an agent can read from your systems, take an action, check the result, and continue, with the right guardrails on what it is allowed to do. We keep agents scoped to a clear job so they are predictable and reviewable, not a black box you cannot trust in production.
- Function calling and tool use
- Multi-step planning with guardrails
- Scoped, reviewable, production-ready
Shipped responsibly by senior engineers
AI features fail quietly when no one is watching them. We add evaluations, logging, and cost controls so you can see how the system behaves and catch regressions before users do. Sensitive data stays handled with care, secrets stay out of the codebase, and every change is reviewed before it ships. You own the code and the prompts, and you can hand the work to any engineer later.
- Evaluations, logging, and cost controls
- Security and data handling built in
- Code and prompts you own outright
It fits the rest of your stack
AI works best as part of a product, not a side project. We build it alongside your Django or FastAPI backend, your React and Next.js front end, and the DevOps and CI/CD that ships it. Hire us for a full product build or to add AI to what you already run, and see why teams choose us over an agency.
AI integration questions
It means building AI features into your product and connecting models to your real data and tools. In practice that is LLM features like chat, search, and summarization, retrieval over your own content, and the prompts, evaluations, and cost controls that keep it reliable. We build on OpenAI and Anthropic Claude and choose the model that fits each task.
Yes. We build workflow automation with tools like n8n, Zapier, and Make, or custom code when the logic is specific to your business. That covers data sync, onboarding steps, reporting, and the repetitive tasks your team does by hand, connected to the APIs and services you already use.
Yes. You own the code, the prompts, and the infrastructure. We do not lock you into a platform you cannot leave, and the work is documented so any senior engineer can pick it up later.
We build with the leading models, including OpenAI and Claude, and choose the one that fits your use case, cost, and privacy needs rather than defaulting to one. We wire them into your product through clean, typed APIs.
We design the integration so your data is only sent where it needs to go, use providers and settings that do not train on your data, and keep secrets out of the codebase. Privacy is part of the design, not an afterthought.
Most projects start with a free scoping call where we look at where AI genuinely adds value and agree a realistic first step. Reach us through the contact form or at info@shapeincloud.com.
Let's build, scale, or automate it.
Hire a full senior team or a single specialist across frontend, backend, AWS, DevOps, and AI. You work directly with the engineers, not an account manager.