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Platform

DeepAuto Agentic Intelligence Platform

A full-stack, self-evolving AI framework designed for real-world enterprise deployments. From GPU management to agent orchestration — deploy in your own infrastructure with zero data leakage.

Full-Stack Framework

Full-Stack, Portable & Secure

More than algorithms — a complete software stack you deploy in your own infrastructure. From GPU resources to agent orchestration, fully portable with no third-party data dependence.

Container Sandboxing — Network-Level Isolation

PE Fund

Portfolio Dashboard
Finance Agents
KPI tracking · LP reports · Benchmarking
Lakehouse Instance
Agent Runtime
Dedicated. Isolated.

Real Estate

Asset Dashboard
Valuation Agents
Rent roll analysis · Market comps · Due diligence
Lakehouse Instance
Agent Runtime
Dedicated. Isolated.

EPC Company

P&ID Dashboard
Vision Agents
Symbol detection · Line tracing · MTO generation
Lakehouse Instance
Agent Runtime
Dedicated. Isolated.
orchestrate
orchestrate
orchestrate

AgentOps — Single Control Plane

Job Scheduling
System Monitoring
Performance Eval
Resource Requests
request resources
request resources

Space

GPU Compute
Shared pool, dynamically allocated per job
Object Storage
Tenant-isolated buckets
Networking
Tenant isolation, load balancing, traffic routing
Space assigns resources to any job — agent tasks, training jobs, data pipelines
1
Shared
framework
2-Level
Container +
Namespace isolation
0
Cross-tenant
data access
Industries on
one platform
Space + AgentOps = shared
compute with zero waste
Agentic Intelligence

How Agents Work Together

Lumina — our conversational superagent — 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"

Lumina Superagent

Conversational Orchestrator

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

Data AnalysisVisualizationNL Q&AReport Gen

Agentic Lakehouse

Vector DB

Documents, contracts, reports

Graph DB

Entities, relationships, knowledge

SQL DB

KPIs, financials, structured data

Insight Discovery Agent

Background · Autonomous

Detects anomalies & risks
Flags data drift & quality issues
Correlates trends across sources
Proactive alerts to Lumina
Human ↔ Lumina
Data Query
Background Scan
Data Foundation

Agentic Lakehouse

Connect fragmented enterprise data, automatically generate schemas and knowledge graphs, and build a queryable intelligence layer with three specialized databases.

Lumina Superagent

Receives natural language queries, reasons about intent, and routes to the right DB — or all three simultaneously.

Agentic Query Planning
“Why did revenue drop in Q3?”
1
Graph DBIdentify entities linked to Q3 revenue — clients, contracts, regions
2
SQL DBPull EBITDA, margin, and cash flow trends for flagged entities
3
Vector DBSearch board memos & emails for context on the flagged drops
Synthesizes findings across all three sources → delivers a single coherent answer
multi-step retrieval & reasoning

Graph DB

Knowledge & Relationships

Entity-relationship graphs. Discovers connections between companies, people, assets, and transactions.

"How is Company B connected to Fund III?"
"Who sits on which boards?"

SQL DB

Structured Analytics

Auto-generated normalized schemas. Precise quantitative queries, KPI tracking, and financial analysis.

"What was EBITDA in Q3?"
"Show occupancy by region"

Vector DB

Unstructured Data & Agentic RAG

Documents, images, CAD, videos, emails — stored as embeddings. Agentic RAG reasons over heterogeneous data to determine what to retrieve, from where, and at what granularity.

"Find P&ID drawings similar to this valve layout"
"Retrieve all inspection reports for Asset 7"
populates & enriches

Auto Knowledge Graph Construction

Extracts entities and relationships from unstructured data automatically. Institutional knowledge that grows with every document processed.

Automatic Schema Generation

Analyzes incoming data and auto-generates normalized schemas, entity mappings, and relationship graphs. New sources in minutes.

Concept Discovery

Surfaces canonical concepts from vector embeddings — clusters similar entities across documents, resolves synonyms and aliases, and builds a unified concept vocabulary that agents reference as ground truth.

ingests & structures automatically
Source of Truth|
Object Storage(S3 / MinIO)
Open Table Format(Iceberg / Delta)
lands & versions
Fragmented Enterprise Data
ERP Systems
CRM Data
Documents
Emails
Images & CAD
Spreadsheets
Self-Evolving AI

From New Hire to Partner-Level Insight

Every interaction makes the system smarter. Through continuous knowledge expansion, workflow optimization, and model improvement, agents evolve from day-one onboarding to delivering partner-level domain expertise.

Deployed Agent

Executes tasks · Generates feedback · Triggers evolution

Loop 1
Knowledge Expansion
1
Ingest documents, tables & unstructured data
2
Discover entities & relationships automatically
3
Enrich knowledge graph with every interaction
4
Knowledge grows deeper and more connected over time
continuous
Loop 2
Workflow Optimization
1
Execute multi-step agent workflows
2
Measure accuracy, latency & cost per task
3
Auto-refine decomposition & routing logic
4
Workflows get faster and more accurate over time
continuous
Loop 3
Playbook Refinement
1
Refine prompts & extraction playbooks
2
Detect edge cases, update rules & tests
3
A/B test prompt variants automatically
4
Playbooks get more precise without retraining
continuous
Loop 4
Model Specialization
1
Collect domain-specific feedback signals
2
Curate high-quality training datasets
3
RL-based fine-tuning on enterprise tasks
4
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 — no data leakage, no third-party dependencies.

On-Prem & Private Cloud

Deploy the entire platform within your infrastructure. No data ever leaves your network — full compliance with 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 — full ownership, zero vendor lock-in, no data sent to third-party model APIs.

Get Started

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