Cloud-native AI systems, engineered for production.
We build the AI infrastructure most enterprises wish they had — observable, governed, scalable, and integrated cleanly with your existing platform.
Built for enterprise outcomes — not just demos.
Every engagement comes with the governance, observability, and senior delivery muscle that production AI actually requires.
Production-first engineering
Every system designed against SLOs, cost ceilings, and rollback paths from day one.
Governed by default
Policy, audit, and approval flows wired in — not bolted on after launch.
Composable, not locked in
Open standards and vendor-neutral architecture so you keep optionality.
What we deliver, end to end.
LLM Systems Engineering
Multi-model routing, prompt management, evaluation, cost control.
RAG & Knowledge Systems
Document parsing, embeddings, hybrid retrieval, freshness pipelines.
Agentic Workflows
Tool-use agents with policy gates, approval flows, and observability.
Model Serving & Inference
GPU orchestration, autoscaling, multi-region, p95 SLOs.
Data & Feature Pipelines
Streaming + batch, lineage, versioning, governance.
AI Platform Engineering
Internal AI platforms with self-serve, golden paths, SDKs.
What you walk away with.
Concrete, owned-by-you artifacts — not slideware.
Production AI service
Containerized, autoscaled, observable, with documented SLOs.
Eval & regression harness
Automated quality gates on every prompt, model, or tool change.
Infrastructure-as-code
Terraform/Helm modules you own, in your repos, in your cloud.
Observability dashboards
Latency, cost, quality, and safety telemetry — pre-wired.
Runbooks & on-call docs
Operate it without us. Detailed runbooks for every failure mode.
Knowledge transfer
Architecture reviews and pairing sessions for your platform team.
Opinionated where it matters. Composable everywhere else.
# devappsit.reference-stack.yaml runtime: Kubernetes · KServe · vLLM · Triton orchestration: LangGraph · Temporal · Argo Workflows retrieval: pgvector · OpenSearch · Vespa observability: OpenTelemetry · Prometheus · Grafana · Datadog governance: OPA · Guardrails AI · audit-log streaming delivery: ArgoCD · GitOps · progressive rollout
Flexible commercial models for every stage.
From early discovery to long-running managed service — pick the model that matches your procurement and risk appetite.
Time & Materials
Senior engineers billed by day or sprint. Maximum flexibility.
Fixed-Scope Delivery
Defined outcome, fixed price, fixed timeline.
Outcome-Based Pod
Dedicated pod tied to measurable business outcomes.
Retainer / Managed
Ongoing capacity for run-the-business AI work.
Ready to move from pilot to production?
Talk to a DevAppsIT specialist about scoping, timelines, and a delivery model that fits your governance and procurement.