From “Chatting with Data“ to “Empowering Action“.

The Enterprise OS for the Autonomous Age.
Don’t just build chatbots. Deploy a fleet of specialized AI agents that reason, plan, and execute complex business workflows safely, at scale, and in production.
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THE EXECUTION GAP

Why traditional AI is failing the Enterprise.

ai in business

Most enterprises are stuck in the “Prototype Trap.“ You have LLMs that can summarize text, but they can’t update your ERP, they can’t resolve a supply chain bottleneck, and they certainly can’t be trusted to act without supervision.

The results?

  • Siloed Intelligence - Data trapped in legacy systems (SAP, Salesforce, SQL) that LLMs can’t reach.
  • The "Black Box" Risk - Zero visibility into how an AI reached a conclusion.
  • Human Bottlenecks - Your experts are still doing the "glue work"—manually moving data between AI outputs and business tools.

INTRODUCING DRAVA

We don’t just give you a model; we give you a workforce.

Our platform bridges the gap between Generative AI and Operational Reality. By combining a Model-Driven Architecture with Multi-Agent Orchestration, we turn "prompts" into "production."
The Brain: Multi-Agent Orchestration

The Brain: Multi-Agent Orchestration

Instead of one giant, unreliable model, we use specialized agents. One retrieves data, one writes the code, one executes the transaction, and a Critic Agent audits the work for compliance.

The Nervous System: Enterprise Ontology

The Nervous System: Enterprise Ontology

Your agents don’t just see "text." They understand your business objects—customers, assets, factory floors, and orders—connected directly to your real-time data.

The Command Centre: Low-Code/Full-Code Canvas

The Command Centre: Low-Code/Full-Code Canvas

Drag-and-drop visual flows for business analysts; deep Python & MCP (Model Context Protocol) integration for developers.

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BENEFITS

Value That Moves the Needle
30%
Reduction in logistics costs

Supply Chain Chaos. Agents monitor sensor data, predict delays, and automatically re-route shipments.

15%
Increase in Net Promoter Score.

Customer Churn Agents analyse sentiment and transaction history to trigger personalized retention offers autonomously.

60%
Faster Mean Time to Resolution

Security Alerts Autonomous agents triage 1000s of alerts, isolating threats before your team even wakes up.

HOW WE ARE DIFFERENT

The Agentic Edge

Action over Answers
Most platforms are "Read-Only." We are "Read-Write." Our agents are authorized to take actions in your existing software via secure APIs.
Explainable Autonomy
Every decision is traced. You can see the "Chain of Thought" and the data sources used, ensuring 100% auditability.
Vendor Agnostic
Don't get locked in. Swap Llama 3 for GPT-4o or Claude 3.5 with one click in the visual canvas.
Human-in-the-Loop
Set "Guardrails" and "Approval Thresholds." The agent acts autonomously until it hits a high-risk decision, then it asks for your permission
Semantic First, Compute Efficient
Ontology-driven knowledge graphs and an LLM-powered ML workbench let agents reason faster, run leaner, and scale at lower cost than prompt-heavy platforms.
Discover Your Agentic AI Opportunity
Book a no-obligation consulting workshop to explore where AI agents can automate decisions across your enterprise. Leave with a clear roadmap, not a sales pitch.
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IMAGINE A DAY WITHOUT THE 'ROUTINE'

Power of autonomous AI

Before Drava

The manual grind, every morning

A Supply Chain Manager spends 4 hours every morning logging into 5 different systems, chasing status on late shipments, emailing 3 vendors, and manually updating a spreadsheet that is outdated as soon as it's saved.

  • Context scattered across tools and inboxes
  • Decisions delayed while people “pull the data”
  • Human focus spent on triage instead of strategy
With Drava

The same day, with autonomous agents

While the Manager slept, an Orchestrator Agent identified the delay, a SQL Agent checked inventory levels, and a Communication Agent drafted emails to alternative suppliers. The Manager arrives at 9:00 AM to a single, clear notification.

Morning prep4h → 5min
Systems touched5 → 1

"I've found 3 solutions to the delay. Which one should I execute?"

Autonomous Enterprise

Stop Prompting. Start Operating.

Move beyond the chat box to the autonomous future.

Build AI/ML–driven organization

Connect data, models, and systems into agents that operate with clear goals, built-in guardrails, and adaptive intelligence.

Create your first agent

Run Ready-to-Use Agents

Choose from a growing library of prebuilt enterprise agents—forecasting, document intelligence, analytics, and more.

Browse the agent library