AI Implementation Pods

    Most AI pilots never ship.
    We put yours in production.

    The model is rarely the hard part. Data plumbing, evaluation, guardrails, and enterprise integration are. We build the entire path from prototype to production system your business actually runs on.

    6–8 weeks

    Prototype to Production

    120+

    FDEs Deployed

    30+

    Clients Served

    100%

    IP Transferred to You

    The gap between a demo and a production AI system

    A notebook demo takes a week. A system that handles messy real data, meets security review, integrates with core platforms, and can be evaluated and improved takes engineering. That engineering is what we do.

    Without FDEs

    • ✕Impressive demos that never reach real users
    • ✕No evaluation harness, so quality is guesswork
    • ✕Data access and security blockers stall rollout
    • ✕No integration with the systems teams actually use
    • ✕Costs spiral with no observability on usage

    With FDE Team

    • Production deployment with monitoring and rollback
    • Evaluation sets and quality gates before launch
    • Security, privacy, and compliance handled up front
    • Deep integration into your existing platforms
    • Cost, latency, and quality tracked continuously

    What our AI pods bring

    Engineers who have shipped AI into regulated, high-volume enterprise environments.

    Data Foundations

    Ingestion, cleaning, chunking, and retrieval built for your real, messy data.

    Workflow Integration

    AI embedded where work already happens — CRM, ERP, support desk, internal tools.

    Evaluation & Observability

    Golden datasets, regression tests, and dashboards for quality, cost, and latency.

    Governance & Safety

    Access controls, PII handling, audit trails, and human-in-the-loop review.

    What we build

    From retrieval systems to autonomous agents, engineered for production.

    LLM Applications

    • RAG systems
    • AI agents
    • Copilots
    • Document processing
    • Summarization

    Model Work

    • Fine-tuning
    • Evaluation harnesses
    • Prompt systems
    • Model routing
    • Cost optimization

    Data Engineering

    • Vector stores
    • ETL pipelines
    • Feature stores
    • Data quality
    • Warehousing

    Platform

    • MLOps
    • Monitoring
    • CI/CD for models
    • On-prem & VPC
    • Scalable inference

    From use case to production

    A disciplined path that avoids the pilot graveyard.

    01

    Use Case Selection

    We pick the workflows where AI has measurable, provable ROI.

    02

    Data & Evaluation

    Pipelines built and success criteria defined before a line of app code.

    03

    Build & Integrate

    The system is built into your stack with guardrails and observability.

    04

    Launch & Improve

    Rollout, measurement, and iteration — plus full handover to your team.

    "We had three AI pilots and zero in production. Within two months one was live across the business with measurable savings, and we owned all of the code."

    Ready to ship AI that works?

    Bring us your use case — or your stalled pilot. We will map the shortest credible path to production.

    Write to us