Engineering services for production AI
We build and optimize the data and compute foundations that decide whether AI performs, then take the systems on top of them all the way into production. One accountable partner, from assessment through operation.
A path from where you are to production that pays
Every engagement runs through the same four phases. You can start at any of them, and most clients start with an assessment because it is the cheapest way to find out what is actually in the way.
Assess
Establish where the system actually stands: data readiness, infrastructure efficiency, governance posture, and the distance between today and production.
Architect
Design the data and compute foundations, with governance, security, and cost modeled in from the start rather than retrofitted later.
Engineer
Build and harden it. Pipelines, clusters, retrieval, and the applications on top, taken to production rather than to a demo.
Optimize
Tune what is running: utilization, throughput, latency, reliability, and spend, measured continuously rather than asserted once.
Professional Services
Forward deployed engineering. Senior AI engineers who embed with your team and ship, from architecture to a hardened, governed production system. Fixed-scope projects or an embedded pod, whichever fits how you work.
Solution design & architecture
We turn a use case into a concrete, buildable architecture, models, data, infrastructure, and guardrails scoped to your constraints.
Implementation & integration
Build the use case and wire it into your cloud, data platforms, and existing systems, with evals and CI/CD in place from day one.
Data & platform engineering
Reliable pipelines, retrieval, and data readiness so what reaches your models is clean, fresh, and defensible.
Production hardening
Reliability, security, cost controls, and governance built in, so the jump from pilot to production actually holds up.
Enablement & handover
We upskill your team as we build and leave you with documentation and runbooks, hand off cleanly, or keep us on to operate.
Fractional AI leadership
Senior direction, strategy, standards, architecture review, for teams that need a steady hand more than more hands.
Managed Services
Once your AI is live, we help you run it. Aivilo Managed AI Operations keeps your systems reliable, efficient, and compliant as an ongoing service, so your team stays on the roadmap rather than the pager.
Managed Engineering
New use cases, platform build and modernization, with senior engineers alongside your team as standing capacity.
Cost & FinOps optimization
Ongoing right-sizing, spend attribution, and budget guardrails that keep AI run-cost trending down, not up.
Reliability & quality
Drift detection, automated evals, and freshness SLAs so models and pipelines keep performing after launch.
Governance & compliance
Audit trails, policy enforcement, and reporting your risk and compliance teams can rely on, continuously.
Continuous improvement
Quarterly business reviews that turn what we observe into cost savings, quality gains, and new sources of ROI.
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Our observability & governance platform gives every engagement one live source of truth across the stack.
Not sure where to start?
Tell us where you are and we'll scope the fastest path to production.