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    We Build & Run

    Your Infrastructure

    AI, DevOps, and cloud engineering. Purpose-built for startups and enterprises that ship.

    Sound Familiar?

    These aren't hypotheticals. They're real conversations we have with CTOs every week.

    AI Models Stuck in Notebooks for Months

    Your data scientists built a model that works. But getting it to production? Your DevOps team says it'll take 3-6 months to 'properly containerize and deploy it.'

    $50K/Month Cloud Bill with Zero Visibility

    You approved a $15K cloud budget. Now it's $50K and climbing. Your team shrugs and says 'that's just what it costs to run ML workloads.'

    Architecture Growing More Complex, Not Less

    Started with 5 microservices. Now you have 37. Nobody knows what half of them do. Your new hires spend weeks just understanding the deployment diagram.

    We've fixed all of these. Here's how.

    Real Projects, Real Results

    Real engagements, real numbers

    Enterprise SaaS

    Series B AI Startup

    The Problem

    Data science team built a fraud detection model that worked great in testing. Six months later, still not in production. Engineering says 'we need to build the right infrastructure first.'

    What We Did

    Built MLOps pipeline in 8 weeks: containerized model, set up versioning, added A/B testing framework, deployed to Kubernetes with auto-scaling.

    Results

    vs 6+ month backlog
    8 weeks
    To Production
    with auto-failover
    99.5%
    Uptime SLA
    now weekly vs quarterly
    3x
    Model Updates
    Financial Services

    FinTech with $40M ARR

    The Problem

    AWS bill hit $65K/month. CFO asked for breakdown. CTO had no answer, just knew 'that's what the models cost to run.'

    What We Did

    3-week audit identified: oversized RDS instances, unused dev environments running 24/7, no auto-scaling, paying for reserved instances they didn't need. Fixed systematically.

    Results

    60% reduction
    $26K/mo
    New Monthly Bill
    zero degradation
    Same
    Performance
    by team & project
    Real-time
    Cost Tracking
    Data & Analytics

    Enterprise ML Platform

    The Problem

    Every model deployment took 2 weeks and required multiple teams. Deployment Friday at 4pm? Expect to work the weekend. Team morale tanking.

    What We Did

    Rebuilt CI/CD from scratch with GitOps, automated testing, canary deployments, instant rollbacks. Standardized on one deployment pattern everyone could use.

    Results

    vs 2 weeks
    45 mins
    Deploy Time
    in last 6 months
    Zero
    Weekend Incidents
    shipping weekly now
    4x
    Release Velocity

    Want results like these? Here's how we get there.

    How We Work

    A clear path from chaos to clarity, and we stay as long as you need us.

    01

    Audit

    Week 1

    We map what's broken, what's costing you, and what to fix first.

    02

    Simplify

    Weeks 2–4

    Consolidate services, standardize patterns, cut the noise.

    03

    Automate

    Weeks 5–10

    CI/CD, Infrastructure as Code, monitoring. Everything runs itself.

    04

    Run

    Ongoing

    We manage it, or train your team and hand it off. Your call.

    What You Get

    Faster Releases

    Ship updates in minutes, not weeks. Zero downtime

    Fewer Outages

    Reliable systems that recover automatically when things break

    Full Visibility

    See exactly what's running, what's healthy, and what needs attention

    Clear Documentation

    Your team understands the system, not just us

    Ongoing Support

    We manage your infrastructure so you focus on your product

    Lower Cloud Bills

    Concrete savings with a clear roadmap and timeline