AI systems and software platforms

AI and software platforms, from strategy to production

Strategy, applied ML, generative AI, and MLOps, plus full-stack software and platform builds with AI inside, taken from idea to production with measurable ROI.

Technologies

Technologies we build with

We are tool-agnostic and pick the right stack for each use case, balancing capability, cost, and what your team already runs.

Generative AI and LLMs

OpenAIAnthropicGeminiLangChainLlamaIndexvLLM

Applied ML and data science

PythonPyTorchscikit-learnXGBoost

Data engineering

Apache AirflowdbtKafkaBigQuerySnowflake

MLOps, cloud and infra

MLflowKubernetesTerraformAWSGCP
How we deliver

How we deliver AI

  1. 1

    Discovery and alignment

    Map your goals, use cases, and success metrics with your team.

  2. 2

    Data and feasibility

    Assess data readiness, risk, and the clearest path to value.

  3. 3

    Prototype and POC

    Build a working proof of concept to validate the approach early.

  4. 4

    Model development and evaluation

    Engineer, train, and rigorously evaluate against measurable KPIs.

  5. 5

    Integration and orchestration

    Wire the system into your products, data, and workflows.

  6. 6

    Deployment and MLOps

    Ship to production with CI/CD, monitoring, and guardrails.

  7. 7

    Monitoring and improvement

    Track drift and performance, and improve continuously.

Let us scope it together

A short exploration call, then a clear proposal and plan.