Seven services, AI first.

We design, build and run AI in production, and the cloud, delivery and reliability foundations that keep it there.

  • GenAI solutions

    Production LLM applications that are grounded, evaluated and safe.

    We build LLM applications that answer from your own data, act through your own systems, and are tested before every release like any other production software.

    Evaluation run · release 2.4Example
    Accuracy0.93
    Groundedness0.95
    Safety0.99
    Tone0.88

    All checks passed · ready to ship

  • Conversational AI

    AI agents for every customer conversation, built on Amazon Connect Customer.

    We design, build and run complete contact centres on Amazon Connect Customer: AI agents that resolve requests on voice, chat, SMS, web chat and social channels, real-time assist for your human agents, and the integrations, case management, monitoring and evaluations around them.

    Contact centre · chatExample

    Can I move my booking to Friday, same time?

    Sure. I can see Wednesday at 3:00 PM. Move it to Friday at 3:00 PM?

    Yes please.

    Done. A confirmation is on its way.

    Resolved by the bot · no hand-off needed

  • AI coding assistants

    Roll out Claude Code, Cursor, Codex and Copilot with guardrails, and measure what they change.

    We help engineering teams adopt AI coding assistants deliberately: the right tool for each team, agentic workflows wired into your codebase and internal tools, clear rules on code and data, and honest measurement of the effect on delivery.

    Coding assistant pilotExample

    Weekly active developers

    Payments team82%
    Mobile team64%
    Data team71%

    Pull request cycle time

    Cycle time down since the pilot began

  • Cloud

    Architecture, migration and cost: the ground AI runs on.

    We design cloud foundations that are secure by default, move workloads onto them with a plan, and keep the bill understandable as usage grows.

    Monthly cloud costExample
    MJJASO

    Right-sizing and commitments applied in July

  • DevOps and MLOps

    CI/CD, infrastructure as code, and the pipelines that ship models and agents.

    We make shipping routine for both software and AI: pipelines that test and scan every change, infrastructure reviewed like code, and MLOps and LLMOps practices that version, evaluate and roll out models and agents as safely as any release.

    Pipeline · support-assistantExample
    1. Checkoutpassed
    2. Tests and scanspassed
    3. Build imagepassed
    4. Evaluate modeleval gate passed
    5. Canary deploy25% traffic
    6. Promotewaiting

  • SRE

    Reliability you can measure: SLOs, observability and incident response.

    We set reliability targets that match what your users feel, give your teams the signals to meet them, including for AI agents and model calls, and make incidents calmer and shorter.

    checkout-api · SLO 99.9%Example
    99.94% availability, 30 days72% error budget left

  • Platform engineering

    Internal developer platforms, golden paths and self-service infrastructure.

    We build internal platforms that let product teams start, ship and run services on their own, on paved roads with sensible defaults.

    New serviceExample
    Templatepython-api
    • CI/CD pipeline
    • Dashboards and alerts
    • Runbook and on-call
    • Cost tags
    Create service

Tell us where your AI is stuck.

One conversation with an engineer. No sales script.

Plan an engagementhello@cloudernetes.com