Let’s Grab a Coffee

Practical AI, built into how you work.

We integrate machine learning models and automated workflows into your products and operations, with your data handled carefully and results you can check.

Start an AI ProjectSee Our Work
/What We Build

AI that does a job, not a demo.

We start from a workflow that costs your team time or your customers patience, then pick the simplest approach that works.

Assistants and copilots

Chat and in-app assistants that help customers or staff get things done, grounded in your content and connected to your systems.

  • Customer support and sales assistants
  • Internal copilots for operations teams
  • Guardrails, tone and escalation rules
  • Conversation logs and feedback loops
/How We Work

Four rules for AI that holds up in production.

  1. 1. Workflow first

    We start with the task and the people doing it, then choose the simplest tool that works. That isn't always an LLM.

  2. 2. Grounded

    Answers come from your data and your systems, with sources shown, so people can check them rather than take them on trust.

  3. 3. Measured

    We build evaluation sets from real examples and test quality, cost and speed before launch and after every change.

  4. 4. Supervised

    People stay in charge of decisions that matter, with review steps, limits on what AI can do and a clear way to override it.

/Responsible Data Handling

Your data stays yours.

AI projects touch sensitive information. We plan for privacy and control from the first conversation, not as an afterthought.

  1. Clear data boundaries

    We agree what data the system may use, remove or mask personal data it doesn't need, and keep the rest in your environment where we can.

  2. Providers chosen with care

    We choose model providers and plans whose terms exclude training on your data, or run open-weight models in your own cloud when data shouldn't leave it.

  3. Access follows your rules

    Assistants and search only return what each user is already allowed to see, using the permissions in your existing systems.

  4. Everything is traceable

    Prompts, outputs, tool calls and reviews are logged, so you can audit what the system did and improve it over time.

/Tools We Work With

The right model for each job.

We compare models on your tasks and your data, and keep the choice swappable as models improve.

  • Models

    Hosted and open-weight.

    • OpenAI
    • Anthropic Claude
    • Google Gemini
    • Llama
    • Mistral

  • Frameworks

    Orchestration and tool use.

    • LangChain
    • LlamaIndex
    • Vercel AI SDK
    • Model Context Protocol

  • Retrieval

    Search over your data.

    • pgvector
    • Pinecone
    • Elasticsearch
    • OpenSearch

  • Machine learning

    Classic models, done properly.

    • Python
    • scikit-learn
    • PyTorch
    • XGBoost

  • Automation

    Connect the systems you run.

    • n8n
    • Zapier
    • Make
    • Temporal

  • Evaluation and monitoring

    Quality you can measure.

    • Langfuse
    • LangSmith
    • Promptfoo
    • OpenTelemetry

Hosted by a provider or inside your own cloud.

/FAQ

Frequently asked questions about AI and automation.

Contact us

We don't sell a proprietary model. We integrate leading hosted and open-weight models, and train classic machine learning models on your data when that fits the problem better.

/Related Services

AI works best on solid engineering.

All Services
/Your Next Move

Find the workflow worth automating first.

Tell us where your team loses time or where customers wait. We'll come back with what we'd try first, and how we'd measure it.

Talk to Our AI TeamSee Our Work

No pitch deck required. No commitment.