DeepAuto Agentic Intelligence Platform
A full-stack, self-evolving AI framework built for the enterprise teams that run real-world AI. From GPU management to agent orchestration, deployed in your own infrastructure with zero data leakage.
One Platform, Full Stack
From infrastructure to agents, the capabilities behind every Agentic OS.
Full-Stack Framework
A complete software stack you deploy in your own infrastructure, from GPU resources to agent orchestration, fully portable.
Self-Evolving Agents
Agents that learn from feedback and improve over time, with orchestration, tools and persistent memory.
Agentic Lakehouse
Unifies fragmented enterprise data into one AI-ready, queryable foundation for every agent.
Enterprise Security
Container sandboxing with network-level isolation. Deploy on-prem with zero data leakage.
Full-Stack,
Portable & Secure
A complete software stack you run in your own infrastructure, from GPU resources to agent orchestration. Fully portable, with no third-party data dependence.
- Production dashboard
- Manufacturing agentsVision QC, defect detection, and yield
- Agent runtimeOnline, dedicated and sandboxed
- P&ID dashboard
- Engineering agentsSymbol detection, line tracing, and asset integrity
- Agent runtimeOnline, dedicated and sandboxed
- Asset dashboard
- Valuation agentsRent roll, market comps, DCF, and due diligence
- Agent runtimeOnline, dedicated and sandboxed
- Engineering drawings
- Process knowledge
- Field experience
- Operational systems
- 02WorkspacesMulti-tenant
- 03Agentic World ModelPredicts, simulates, and acts
- 04AgentOpsSchedules, monitors, and evaluates
- 05Agentic LakehouseGraph, relational, and vector
- 07SpaceCompute, storage, and networking
- Predict
- Optimize
- Automate
- Innovate
How Agents
Work Together
Our Super Intelligence orchestrates specialized AI agents across a unified data layer, while a background agent continuously discovers new insights.
- Human sends a conversation to Super Intelligence.
- Super Intelligence decomposes the request and queries the Agentic Lakehouse.
- The Agentic Lakehouse holds a graph store, a SQL store and a vector store.
- An Insight Discovery Agent scans the lakehouse in the background and returns findings to Super Intelligence.
One Reasoning Engine,
Every Industry
From New Hire to Partner-Level Insight
Every interaction makes the system smarter. Agents evolve from day-one onboarding to partner-level domain expertise through continuous knowledge expansion and model improvement.
Deployed Agent
Executes tasks · Generates feedback · Triggers evolution
- Loop 1
Knowledge Expansion
continuous - Loop 2
Workflow Optimization
continuous - Loop 3
Playbook Refinement
continuous - Loop 4
Model Specialization
continuous
- 1Ingest documents, tables & unstructured data
- 2Discover entities & relationships automatically
- 3Enrich knowledge graph with every interaction
- 4Knowledge grows deeper and more connected over time
- 1Execute multi-step agent workflows
- 2Measure accuracy, latency & cost per task
- 3Auto-refine decomposition & routing logic
- 4Workflows get faster and more accurate over time
- 1Refine prompts & extraction playbooks
- 2Detect edge cases, update rules & tests
- 3A/B test prompt variants automatically
- 4Playbooks get more precise without retraining
- 1Collect domain-specific feedback signals
- 2Curate high-quality training datasets
- 3RL-based fine-tuning on enterprise tasks
- 4Models specialize to your domain & organization
Continuous Evolution
Grows deeper over time
Fixed at deployment
Optimizes accuracy & efficiency
Same logic forever
Refines with every edge case
Manual updates only
Specializes to your domain
Generic, off-the-shelf
DeepAuto Self-EvolvingStatic AI (competitors)
Your Data Never Leaves Your Environment
Deploy on-premises or in your private cloud. Container-sandboxed, network-isolated, and fully tenant-separated, with no data leakage or third-party dependencies.
On-Prem & Private Cloud
Deploy the entire platform within your infrastructure. No data ever leaves your network, meeting internal security policies, SOC 2, and regulatory requirements.
Container Sandboxing
Every tenant runs in isolated containers with network-level separation. Zero cross-tenant data access, dedicated Lakehouse instances, and dedicated agent runtimes per client.
Open-Source Model Sovereignty
Every model is built on open-source foundations and fine-tuned with your proprietary data inside your environment. Training data, model weights, inference logs, and RL feedback loops never leave your infrastructure, with full ownership, zero vendor lock-in, and no data sent to third-party model APIs.
Ready to Become
AI-First?
Schedule a 30-minute demo and see how DeepAuto turns your enterprise data and workflows into working intelligence, in weeks.