From MLOps pipelines to production-ready Agent frameworks, we architect, develop, and operate the infrastructure that powers intelligent applications.
We architect entire systems: data pipelines, model training workflows, deployment platforms, and monitoring — end to end.
Custom LLM applications, RAG pipelines, vector search, fine-tuning, and evaluation frameworks. We build production-grade AI features, not prototypes.
Model training infrastructure, experiment tracking (MLflow / W&B), automated retraining, feature stores, monitoring, and drift detection.
Agentic workflows with LangChain, AutoGen, CrewAI, and Vercel AI SDK. Observability, evaluation, guardrails, and cost optimization for autonomous agents.
AWS, GCP, Azure architecture, Kubernetes, Terraform IaC, Helm, ArgoCD, cost optimization, networking, and multi-account security.
Incident response, SLI/SLO definition, distributed tracing (OTel), log aggregation, alerting, runbooks, capacity planning, and chaos engineering.
High-performance backends (Python / Litestar, Node, Go), real-time dashboards (Svelte, React), REST/GraphQL APIs, and scalable data-heavy frontends.
We've scaled systems to millions of requests, built ML platforms from scratch, and operate 24/7 infrastructure for AI companies. We know the full stack because we've done it.
Every project is designed with AI capabilities in mind: data architecture, model serving, and continuous learning loops.
No prototypes. We ship hardened, monitored, tested systems that handle real traffic, real data, and real consequences.
Data engineers, ML engineers, DevOps, frontend — one team covering every layer so your product ships faster.
Terraform, Ansible, Kubernetes manifests: everything reproducible, auditable, zero click-ops.
Tell us about your project. We'll respond within 24 hours with a technical approach and timeline.
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