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Curious Context Labs

services

Advise, build, run. One team from the first question to the working system.

We find where AI pays off in your business, build it at a fixed price, then keep it working. The people who advise you are the people who write the code. You can start with any of the three.

01 / advise

AdviseFind where AI pays off.

We interview the people who do the work, map how it really flows, and rank the places where AI would save time or money. You get a plan you can act on, with or without us.

What's included

  • Interviews with the people who do the work
  • A map of your key workflows and the systems behind them
  • Ranked use cases with effort, risk and expected benefit in plain words
  • A data and security check: what the AI can see, and what it must not
  • A build plan with fixed prices for the first projects

02 / build

BuildShip working AI, at a fixed price.

We design and build the agents, assistants, apps and automations from your roadmap. You see an early demo on your own data, and we agree the price before we start.

What's included

  • AI agents that work across your tools and ask a person to approve
  • A company AI assistant that answers from your own documents
  • Custom AI apps for one job, built for the people who do it
  • Voice and chat agents for customers and staff
  • Automations between the tools you already pay for

03 / run

RunKeep it working as you grow.

AI systems need care: models change, data drifts, teams find new uses. We monitor what we built, fix issues, update models, train your team and add new use cases each month.

What's included

  • Monitoring of accuracy, cost and usage
  • Fixes and model updates when providers change
  • Training sessions and short guides for your team
  • New use cases added from your backlog
  • A monthly note on what the AI did and what to do next

04 / what we build

Five kinds of system. Each one does a real job.

Most projects are one of these, or two working together. Each has an example from our use-case library so you can see it step by step.

promises

Four promises, on every project

These hold whether you hire us for a two-week audit or a year of support.

  1. Vendor-independent

    OpenAI, Claude, Gemini or open models — we choose per task, based on quality, cost and where your data may go.

  2. You own everything

    The code, prompts, data and AI accounts are yours. If we part ways, nothing is locked in with us.

  3. A person approves what matters

    Payments, customer promises, hiring decisions, anything legal: the AI drafts, a person decides.

  4. Fixed price before we build

    We agree the scope and price up front. If we underestimated, that is our problem, not yours.

Not sure where to start? Start with a conversation.

A free 30-minute call. Tell us how the business runs and where work piles up. We will tell you whether to start with an audit, go straight to a build, or leave AI alone for now.

Working with teams in the United States, United Kingdom and Australia.