Run agentic AI on public cloud —
securely.
Private LLMs, RAG, autonomous agents and MLOps — deployed in your VPC on AWS, Azure or GCP. Enterprise-grade, cost-modeled, production-grade.
From data plane to agent —
one integrated stack.
A modular blueprint we deploy in weeks — tuned to your cloud, data gravity and governance model.
- · Snowflake
- · Databricks
- · S3 / ADLS / GCS
- · Kafka
- · Bedrock / Azure OpenAI
- · Vertex AI
- · OSS LLMs (Llama, Qwen)
- · Vector DB (Pinecone, pgvector)
- · LangGraph / CrewAI
- · Tool routing
- · Memory & context
- · Guardrails / eval
- · OTEL + Langfuse
- · IAM & KMS
- · Policy & audit
- · FinOps for AI
Everything you need
to ship enterprise AI.
Private LLMs
Open-weight and hosted models deployed in your VPC with zero data egress.
RAG Pipelines
Vector DB architecture, retrieval tuning and hybrid search across enterprise knowledge.
Agentic Workflows
Autonomous agents with tool use, memory and enterprise guardrails.
MLOps
Training, fine-tuning, evaluation and continuous deployment on cloud-native stacks.
AI Observability
Prompt logging, cost telemetry, drift detection and eval harnesses.
Governance
Enterprise policy, audit and guardrails — by design, not by review.
Intelligent Ops
AI agents that triage incidents, propose remediations and open PRs.
Customer Copilots
RAG-powered assistants on your product data — deployed in weeks.
Document Intelligence
Extract, summarize and reason across policies, contracts, filings.
Fraud & Risk
Real-time scoring with explainable signals for regulated workloads.
Move AI from pilot
to production.
Our Chief AI Architects run a 2-week discovery, delivering a costed, production-ready deployment plan.
Start discovery→