NVIDIA Inception Partner

The Governed Operational Intelligence Platform

Atlas is not a wrapper around a language model. It is a purpose-built orchestration platform a mediation substrate that runs in-line with every query, every retrieval, every policy check, and every audit event. That requires real infrastructure.

— Technology Stack

Atlas End-to-End Architecture

A complete, NVIDIA-powered stack User, Application, Governance & Workflow, AI & Intelligence, Data & Knowledge, and Infrastructure layers engineered for high-trust environments.

Atlas Governed Operational Intelligence Platform — enterprise architecture spanning users, interfaces, AI/inference and retrieval (NVIDIA NIM, Triton, TensorRT-LLM, NeMo Guardrails, NeMo Retriever, cuVS, NeMo Agent Toolkit, Dynamo), backend services (FastAPI, LlamaIndex, Celery, Redis), data and storage (OpenSearch, PostgreSQL+pgvector, Amazon S3), and infrastructure (EC2 GPU, EKS, IAM, KMS, CloudWatch, Docker, NVIDIA GPU Operator, Terraform), with parallel governance, security, audit and observability
— Infrastructure

The Infrastructure Beneath the Governance Layer

Every governance primitive identity verification, retrieval scoping, policy mediation, workflow-state classification, audit serialization runs as a structured service in this stack. Not a prompt. Not a wrapper. Infrastructure.

AI & Inference

NVIDIA NIM for scalable model execution. Triton Inference Server for multi-model orchestration. TensorRT-LLM for GPU-accelerated transformer inference. NeMo Guardrails for deterministic, model-agnostic policy mediation. NeMo Retriever for GPU-accelerated retrieval.

Governance overhead that stays operationally invisible.

Retrieval & Persistence

OpenSearch for hybrid retrieval. pgvector for semantic similarity. LangChain and LlamaIndex orchestrate the RAG pipeline. PostgreSQL carries the full operational record: workflow states, audit entries, retrieval mappings, user policies.

Scoped by role, bound by policy, traceable to source.

Orchestration & Backend

FastAPI handles AI routing, retrieval orchestration, workflow-state management, user management, and policy enforcement APIs. Redis manages caching and asynchronous task coordination. Every layer is containerized via Docker, orchestrated on Kubernetes with the NVIDIA GPU Operator.

Unified operational substrate for governance services.

Cloud Infrastructure

AWS EC2 GPU instances for inference. EKS for container orchestration. S3 for document and object storage. IAM for identity and permission management. KMS for encryption key management. CloudWatch for operational monitoring.

Enterprise-grade deployment from day one.

Security by Architecture

TLS in transit. AES-256 at rest. RBAC and ABAC enforced at the retrieval boundary. Immutable audit logging across every governance checkpoint.

Security controls that are structural, not policy.

— Operational Workflow

Governed AI Operating Environment

A full operational workflow inside Atlas™ — governed request pipeline, AI analysis with AAOM™ controls enforcement, human review and approval, risk scoring, data source provenance, and immutable audit trail.

Atlas governed operational workflow — contract analysis use case with request pipeline, AI analysis and risk scoring, AAOM controls compliance, human review and approval, data source provenance, and immutable audit trail
— Core Modules

Core Platform Modules

Atlas Knowledge Layer

Evidence-grounded retrieval against approved enterprise documents.

Atlas Workflow-State Engine

Deterministic operational classification for AI interactions.

Atlas Governance Layer

Policy mediation operating independently of model behavior.

Atlas Audit Ledger

Immutable operational transaction logging.

Atlas Oversight Console

Administrative visibility into AI operational activity.

Ready to See the Infrastructure?

Start with Atlas Pilot™ and deploy governed document intelligence against your enterprise knowledge in 30 days.