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AI Systems.

We build AI systems that do real work inside your business: assistants that answer from your own documents, agents that handle repetitive tasks, and automation connected to the tools your team already uses.

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We build AI systems for one purpose: taking real work off your team's plate. Each one is connected to your data and your tools, and designed around a task you can measure.

That task might be answering customer questions from your own documents, sorting and routing incoming requests, pulling data out of invoices and forms, or preparing a report that someone currently builds by hand every week. We start with the workflow, then decide where AI helps and where ordinary software does the job better.

A system your business runs on has to behave predictably. We test it against real examples before launch, log what it does, and keep a person in the loop wherever a wrong answer would be costly. If it cannot be trusted with a step, that step stays with your team.

You keep control of what we build. The code, the accounts, and the documentation stay with you, so you can change models or providers as the technology moves.

What’s included

  • AI assistants that answer from your own documents and data
  • AI agents for repetitive, multi-step tasks
  • Workflow automation across your existing tools
  • Document processing and data extraction
  • Integration with your CRM, ERP, and internal software
  • Testing, monitoring, and human review
  • Ongoing tuning and support

How we work

  1. Workflow discovery

    We map the task as your team does it today: who does what, how long it takes, and what a good result looks like.

  2. Data and feasibility

    We review the documents, data, and tools the system would rely on, and tell you plainly whether AI is the right answer.

  3. Prototype on real examples

    A small working version tested on your own examples, so you can judge the results before committing to the full build.

  4. Build and integration

    We build the system and connect it to your tools, with access limited to the data it needs.

  5. Testing and evaluation

    We measure accuracy against real cases, test the edge cases, and set the points where a person reviews the output.

  6. Launch and support

    Production release with monitoring in place, training for your team, and ongoing tuning as your data and needs change.

Technologies we use

  • OpenAI
  • Claude
  • LangChain
  • Python
  • TypeScript
  • Next.js
  • Supabase
  • PostgreSQL

Common questions

What can an AI system actually do for my business?

It works best on repetitive tasks built around text and data: answering questions from your documents, sorting requests, extracting information from forms, and drafting reports. In discovery we look at your workflow and tell you where it would help and where it would not.

How long does it take to build?

It depends on the workflow and the state of your data. We test the idea on real examples first, then give you a timeline based on what we find.

Will it work with the tools we already use?

Usually yes. We connect through APIs and databases. If a tool cannot be connected, we tell you during discovery and look at the alternatives with you.

How is our data handled?

We agree what the system can access before we build it, limit access to what it needs, and choose providers and hosting that fit your requirements. We document where your data goes so you can review it.

What happens when the AI gets something wrong?

AI systems do make mistakes, so we plan for them. We measure accuracy before launch, log what the system does, and send anything costly or uncertain to a person for review.

Have a project in mind?

Web platforms, mobile apps, connected systems. Whatever you’re building, let’s talk through it. No pitch, no pressure.

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