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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.

Full-stack AI frameworkZero data leakageSelf-evolving agentsOn-prem ready

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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.

#Portable#Self-hosted

Self-Evolving Agents

Agents that learn from feedback and improve over time, with orchestration, tools and persistent memory.

#Orchestration#Memory

Agentic Lakehouse

Unifies fragmented enterprise data into one AI-ready, queryable foundation for every agent.

#Unified data

Enterprise Security

Container sandboxing with network-level isolation. Deploy on-prem with zero data leakage.

#On-prem#Zero leakage

Full-Stack Framework

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.

AUTO MANUFACTURERtenant

Production dashboard
Manufacturing agents
Vision QC, defect detection, and yield
Agent runtime
Online, dedicated and sandboxed

BLOCKED

REFINERY OWNERtenant

P&ID dashboard
Engineering agents
Symbol detection, line tracing, and asset integrity
Agent runtime
Online, dedicated and sandboxed

BLOCKED

REAL ESTATEtenant

Asset dashboard
Valuation agents
Rent roll, market comps, DCF, and due diligence
Agent runtime
Online, dedicated and sandboxed

Data In

Engineering
drawings

Process
knowledge

Field
experience

Operational
systems

Workspaces

Multi-tenant

Agentic World Model

Predicts, simulates, and acts

AgentOps

Schedules, monitors, and evaluates

Agentic Lakehouse

Graph, relational, and vector

ScaleServe

Quantized, efficient serving

Space

Compute, storage, and networking

Outcomes

Predict

Optimize

Automate

Innovate

shared framework

cross-tenant access

2-Level

container and namespace

∞

industries

Agentic Intelligence

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

"Analyze Fund II occupancy"

"Flag risks in this CIM"

"Compare portfolio KPIs"

conversation

Super Intelligence

Conversational Orchestrator

Understands requests, decomposes into sub-tasks, orchestrates specialized agents, and returns answers with live visualizations.

Data AnalysisVisualizationNL Q&AReport Gen

query

Agentic Lakehouse

Unified data layer

Graph Store

Typed entities, relationships, and causal edges

SQL Store

ACID tables, time travel, and vectorized OLAP

Vector Store

Hybrid vector and full-text, multimodal, and versioned

Open table format on MinIO, Iceberg, LanceDB, and DuckDB

Namespace per sub-tenant

scans

Insight Discovery Agent

Background · Autonomous

Detects anomalies & risks

Flags data drift & quality issues

Correlates trends across sources

Proactive alerts to Super Intelligence

Human ↔ Super Intelligence

Data Query

Background Scan

Agentic World Model

One reasoning engine,
every industry

Data Foundation

Agentic Lakehouse

One unified data layer: three specialized stores over an open table format, with a namespace per sub-tenant.

Graph Store

Typed entities, relationships, and causal edges

SQL Store

ACID tables, time travel, and vectorized OLAP

Vector Store

Hybrid vector and full-text, multimodal, and versioned

Open Table FormatMinIO, Iceberg, LanceDB, and DuckDB

Self-Evolving AI

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

Ingest documents, tables & unstructured data

Discover entities & relationships automatically

Enrich knowledge graph with every interaction

Knowledge grows deeper and more connected over time

continuous

Loop 2

Workflow Optimization

Execute multi-step agent workflows

Measure accuracy, latency & cost per task

Auto-refine decomposition & routing logic

Workflows get faster and more accurate over time

continuous

Loop 3

Playbook Refinement

Refine prompts & extraction playbooks

Detect edge cases, update rules & tests

A/B test prompt variants automatically

Playbooks get more precise without retraining

continuous

Loop 4

Model Specialization

Collect domain-specific feedback signals

Curate high-quality training datasets

RL-based fine-tuning on enterprise tasks

Models specialize to your domain & organization

continuous

Continuous Evolution

Knowledge

Grows deeper over time

Fixed at deployment

Workflows

Optimizes accuracy & efficiency

Same logic forever

Playbooks

Refines with every edge case

Manual updates only

Models

Specializes to your domain

Generic, off-the-shelf

Static AI (competitors)

DeepAuto Self-Evolving

Enterprise Security

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.

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