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Applied AI

AI systems and agents, wired into how you already work.

Autonomous systems that do the work, not just chat.

We design and ship AI systems that take real actions inside your tools and data, not demos. From a single agent that clears a recurring task to multi-step systems that run an entire workflow, we build for reliability, oversight, and measurable output.

The kinds of AI systems we build

Every business has different bottlenecks, so the right system looks different each time. These are the build types we deliver most, each grounded in your own data and connected to the tools your team already uses.

01

Autonomous task agents

Agents that complete multi-step jobs on their own, deciding what to do next, calling your tools, and handing off to a human only when judgment is needed.

  • Tool and API calling with guardrails
  • Multi-step planning and retries
  • Human-in-the-loop approval points
  • Full action logging and audit trail
02

Support and customer-facing agents

Agents that resolve tickets, answer questions, and take action on accounts, grounded in your help docs and policies so answers stay accurate and on brand.

  • Grounded answers from your knowledge base
  • Account actions and ticket resolution
  • Escalation to human with full context
  • Tone and policy controls
03

Internal copilots and assistants

Assistants embedded in your stack that help staff draft, search, summarize, and act, cutting the manual lookup and busywork out of daily operations.

  • Search across internal systems
  • Drafting and summarization in context
  • Role-based access and permissions
  • Slack, Teams, and in-app delivery
04

Knowledge and RAG systems

Retrieval systems that turn your documents, tickets, and databases into a trustworthy answer engine, with citations so every response can be verified.

  • Document ingestion and chunking
  • Vector and hybrid search
  • Cited, source-linked answers
  • Freshness and re-indexing pipelines
05

Document and data processing

Pipelines that read, classify, and extract structured data from invoices, contracts, forms, and emails, then push clean results into your systems.

  • Extraction from PDFs, forms, and email
  • Classification and routing
  • Validation and confidence scoring
  • Direct write-back to your tools
06

Multi-agent orchestration

Systems where specialized agents collaborate under a coordinator to run an end-to-end workflow that no single agent could handle reliably alone.

  • Coordinator and specialist roles
  • Shared memory and state
  • Parallel and sequential task routing
  • Monitoring and failure recovery
How we work

How the work runs

  1. Tell us what you need

    A short written brief is enough to start: what you are building, the stack it has to live in, and the problem behind it. Someone technical reads it, not a sales rep.

    passed when we reply with questions and a proposed shape

  2. Scope and quote

    We agree what the first release contains and what it costs before anything is built. Anything we cannot estimate honestly gets scoped on its own rather than padded into the total.

    passed when the scope and the quote are agreed

  3. Build in the open

    Working software arrives in increments, in your repository, with our commits visible from the first week. Progress is something you can open and run, not a status report.

    passed when a real user is doing a real job in it

  4. Iterate, then hand over

    What the first release teaches sets the priority for the next one. When you want it in house, documentation and a handover period are part of the engagement rather than an extra.

    passed when your team can run it without us

How pricing works

when the scope is clear

Fixed price per milestone

You approve each milestone and its price before it starts, so the cost is known before the work is rather than after. Milestones are sized to be worth reviewing on their own.

when the work is ongoing

Monthly rate for a dedicated team

A set team at a set monthly cost, with notice rather than a minimum term. Priorities move between sprints without renegotiating anything.

when the shape is still open

Scoping first, quote after

We work out what it should be with you before quoting it. There is no charge for that conversation and no obligation to go ahead.

Frequently asked questions

How we build it

Every build ships end to end, from first scope to live deployment and ongoing support.

Model selection and evaluation
Grounding on your proprietary data
Guardrails and safety review
Observability and quality monitoring
Secure deployment on your infrastructure
Iteration and ongoing tuning

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