D2DATA2AI
ENTERPRISE AI ENGINEERING

Engineer AI for the enterprise.

From AI ideas to production-ready agents, data platforms and cloud architectures — securely, governed and built to operate.

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DATA+AI+CLOUD+ENGINEERING
DATA2AI ENTERPRISE AI FACTORY
BUSINESS↓AI AGENTS↓
RAGTOOLSMODELS
↓DATA & CLOUD PLATFORM↓
SECURITYGOVERNANCEAGENTOPS
↓PRODUCTION
THE ENTERPRISE AI GAP

AI experimentation is easy.
Enterprise AI is engineering.

Models are only one layer. Real enterprise value requires data integration, identity, security, evaluation, observability, FinOps and a repeatable path from POC to production.

PRODUCTIZED ACCELERATORS

Enterprise AI, packaged for delivery.

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FLAGSHIP
◎

Enterprise Agent-in-a-Box

Build, integrate and secure an enterprise AI agent with RAG, tools, identity, evaluation and deployment patterns.

  • Agent + RAG + tools
  • Enterprise data integration
  • Security & governance
  • IaC + CI/CD + observability
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⌘

Data Analyst Agent

Natural-language analytics connected to governed enterprise data, SQL and semantic models.

  • SQL & semantic layer
  • Snowflake / Databricks / Fabric
  • Evaluation & audit
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◈

Enterprise RAG-in-a-Box

Turn documents and enterprise knowledge into grounded, searchable AI experiences.

  • Ingestion & retrieval
  • Vector / hybrid search
  • Grounding & evaluation
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◇

AI Platform-in-a-Box

The governed cloud foundation around AI workloads: infrastructure, identity, DevSecOps, observability and FinOps.

  • Terraform / IaC
  • IAM / RBAC / secrets
  • AgentOps & FinOps
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△

Agent Security-in-a-Box

Controls for identity, least privilege, tool authorization, guardrails, audit and AI security.

  • Identity & RBAC
  • Guardrails & human approval
  • Audit & threat model
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≋

AgentOps-in-a-Box

Observe, evaluate and optimize agents in operation — quality, latency, reliability and cost.

  • Logs / metrics / traces
  • Quality evaluation
  • Token & cost analytics
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BUSINESS SOLUTIONS

Start with the business problem.

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01

Data & BI

Ask enterprise data. Analyze. Explain. Decide.

 02

Enterprise Knowledge

Ground AI in policies, documents and institutional knowledge.

 03

HR & People

Secure employee knowledge, HR operations and analytics.

 04

IT Operations

Connect agents to tickets, monitoring, CMDB and automation.

 05

Customer Service

Assist teams with grounded knowledge and enterprise actions.

 06

Document Intelligence

Extract, compare, classify and route business documents.
PLATFORM INDEPENDENT

One architecture. Multiple technology editions.

Data2AI separates enterprise architecture from vendor implementation. The same patterns can be implemented across public cloud, data platforms and open-source stacks.

MICROSOFT AZUREAWSGOOGLE CLOUDSNOWFLAKEDATABRICKSOPEN SOURCE
OUR ENGINEERING METHOD

DATA2AI APEX™

Assess. Prototype. Engineer. Execute.

A

ASSESS

Business value, data readiness, AI suitability, risk and target architecture.

P

PROTOTYPE

Agent, RAG, tools and evaluation around a real enterprise use case.

E

ENGINEER

Platform, data, identity, security, infrastructure and CI/CD.

X

EXECUTE

Production, AgentOps, FinOps, governance and continuous improvement.

DATA2AI ACADEMY

Learn by building the enterprise.

Hands-on programs where teams build a real AI agent and learn the architecture, data, cloud, security, DevOps, observability and FinOps required to operate it.

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01 Agentic AI02 RAG & Data03 Enterprise Tools04 Security05 Platform Engineering06 AgentOps
ARCHITECTURE LIBRARY

Architecture is our product language.

Reference architectures, technology blueprints and implementation patterns for enterprise AI, data platforms, cloud and observability.

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READY TO ENGINEER?

Bring us your AI use case.

Start with a focused discovery, a 5-day accelerator or an enterprise-ready POC.

Start an AI POC →Request an architecture workshop