Why
Five walls block enterprise AI adoption. Uderia eliminates all five — simultaneously.
Five Walls. One Solution.
Why enterprise AI projects keep failing — and what no existing platform solves simultaneously.
Your Data Has To Leave
Every major cloud AI platform requires your data to exit your environment. For regulated industries, this isn't a trade-off — it's a hard stop.
You're Locked In
Two OpenAI outages in June 2025 paralyzed thousands of organizations. Single-provider AI is now a business continuity risk.
Costs Are Unpredictable
84% report margin erosion. Most platforms hide cost until the invoice arrives — by then, it's too late.
AI Is a Black Box
EU AI Act enforcement began 2025. FTC launched Operation AI Comply. Black box AI is no longer compliant AI.
Discovery ≠ Production
Teams rebuild the same work twice. The drift from UI discovery to production API goes undetected until something breaks.
Intelligence
Autonomous Coordination, Revolutionary Approach & Instant Operationalization
From Intent to Autonomy
Uderia senses, reasons, and delivers.
Agents. Coordination. AI. — Your Autonomous Enterprise Platform.
Stop orchestrating. Start delegating.
Your intent activates an autonomous AI organization that senses, reasons, and acts. Specialized agents gather data across domains, coordinate their findings, and synthesize actionable intelligence—all without your intervention. The agentic organizational devisions work as a unified team, not isolated tools.
— An organization that never sleeps, never forgets, never waits.
From Ideation to Operationalization
Revolutionary IFOC Methodology - Adapting to your needs
IFOC - Ideate, Focus, Optimize, Coordinate
Switch between creative ideation, document-verified answers, sovereign efficiency, and cross-team orchestration with a simple @TAG.
Four execution modes. One conversation. Zero friction.
Stop force-fitting every problem into one AI. Match your intent to the right intelligence phase and watch productivity multiply.
From Days to Seconds
Discover insights via conversation. Operationalize them via API.
Query it. Automate it.
- Zero Friction.
Stop rebuilding your work.
Your conversational discovery is your production-ready API. This unique, two-in-one approach eliminates the handoffs, redundancy, and multi-step friction of traditional data operations.
— what once took multiple data experts weeks is at your fingertips now.
Agent Response:
Trust
Real-time transparency and complete accountability for enterprise-grade confidence
From Hallucination to Ground Truth
Every answer grounded. Every source cited.
Ground it. Cite it.
- Zero Fabrication.
Every answer anchored in verified knowledge.
Two complementary knowledge layers work in unison. The Knowledge Graph maps your databases — tables, relationships, and business concepts — ensuring the agent understands your data before writing a single query. The RAG system retrieves and scores documents from your knowledge base, constraining the LLM to answer only from verified sources with full citations.
— what once required manual schema documentation, repeated query failures, and weeks of expert research is now grounded, cited, and delivered in seconds.
From Guesswork to Clarity
Full Transparency for Absolute Trust
See it. Verify it.
- Zero Guesswork.
Every thought visible, every action revealed.
Most AI tools are black boxes — you ask a question and get an answer with no insight into how it was derived. Uderia's Live Status Window shows the agent's complete thought process in real-time: strategic plans displayed before execution, every tool call rendered as it happens with full parameter visibility, and errors openly surfaced alongside the recovery process that proves resilience.
— what once meant trusting a mysterious answer is now watching every step unfold, from plan to execution to verified result.
2. Join on foreign keys
3. Apply Q4 date filter
SUM(o.total) FROM orders o...")
Retrying with corrected column...
Source: orders_db · Verified ✓
From Uncertainty to Accountability
Every action recorded. Every decision traceable. Complete audit trail.
Record it. Trace it.
- Zero Uncertainty.
Every action captured, every decision attributed.
Enterprise-grade audit logging captures every interaction with full forensic context — from login attempts and prompt executions to configuration changes and API access. Turn-level cost attribution creates a complete financial audit trail exportable for GDPR, SOC2, or internal audits. Version-controlled configuration with before/after snapshots enables instant rollback, and 20+ specialized logging functions ensure nothing escapes the record.
— what once meant hoping your logs were sufficient is now a forensically complete, compliance-ready audit trail from the first event to the last.
Total Recall
"Every action. Every access. Every anomaly."
Perfect Memory
"What changed. When. Why. By whom."
Compliance Ready
"From audit trail to compliance report in one click."
Sovereignty
Data sovereignty, Collaboration, and complete control over your AI infrastructure
From Data Exposure to Data Sovereignty
Your data, your rules, your environment.
Sovereign Intelligence
— Zero Compromise
Hyperscaler reasoning meets on-premises execution, powered by continuous learning.
Uderia's Fusion Optimizer decouples strategic planning from model execution. Cloud LLMs provide world-class reasoning for planning while local models execute securely within your perimeter. A champion case learning system continuously captures and promotes proven strategies — making every interaction faster, cheaper, and smarter. Choose from 7+ model providers including Ollama for fully local operation, and switch dynamically without reconfiguration.
— Intelligence and sovereignty, simultaneously. Every interaction makes the system stronger.
From Isolated Expertise to Collective Intelligence
Transform individual expertise into collective organizational knowledge
Share it. Scale it.
- Zero Isolation.
Individual expertise becomes collective intelligence.
The Intelligence Marketplace transforms Uderia from a single-user tool into a collaborative ecosystem. Share and discover six product types — planner repositories, knowledge bases, agent packs, skills, extensions, and knowledge graphs — through a unified storefront. Browse and deploy community-validated assets with one click, and benefit from network effects where more users create more valuable patterns. Fork-and-improve workflows and flexible publishing controls give you full ownership while enabling knowledge amplification.
— what once meant every team starting from zero is now standing on the shoulders of collective intelligence, reducing costs and accelerating results from day one.
Six Product Types
Repositories, agent packs, skills, extensions, and knowledge graphs in a unified storefront.
Community Quality
Star ratings and reviews surface the best assets across the network.
Subscribe, Fork & Install
Three acquisition models — live references, independent copies, or one-click installs.
Targeted Publishing
Public or targeted visibility with fine-grained sharing grants per user.
Secure Access Control
JWT-authenticated endpoints with ownership validation and admin governance toggles.
REST API Integration
Programmatic marketplace operations for CI/CD automation across all product types.
Efficiency
Optimized performance and complete financial visibility
From Context Contamination to Context Optimization
Intelligent token management for maximum LLM performance
Optimize it. Observe it.
- Zero Waste.
Every token allocated with purpose, every decision transparent.
Nine intelligent context modules compete for limited token space. The orchestrator resolves which modules apply, dynamically adjusts budgets based on runtime conditions, assembles content in priority order, redistributes surplus from underutilized modules, and condenses when needed — tool definitions shrink to names-only, history slides to a recent window, data distills to statistics with stratified samples.
— what once meant bloated prompts, wasted tokens, and opaque context assembly is now optimized, observable, and budget-aware from the first token to the last.
The orchestrator evaluates each incoming task and dynamically re-allocates the token budget across all 9 context modules in real-time.
- Retrieval-heavy tasks expand RAG context and knowledge modules
- Code generation boosts tool definitions and plan hydration
- Document review shifts budget to documents and components
When a new workload arrives, the engine analyzes its signature and makes sequential adaptation decisions — each immediately adjusting the context allocation from a generic default to a task-optimized profile.
When context exceeds the token budget, the condensation engine applies targeted compression strategies:
- Prune unused tool definitions to names-only signatures
- Summarize older conversation turns into compact context
- Re-rank and trim retrieval results by relevance
- Extract key document sections, discard boilerplate
From $$$ to ¢¢¢
Efficient, optimized, and cost-effective
Plan it. Recover it.
- Zero Failure.
Multi-layered orchestration that self-corrects autonomously.
The Fusion Optimizer deconstructs complex requests into strategic blueprints, then executes each phase with precision. Proactive optimization hydrates plans with prior data, takes tactical fast paths, and distills context. When errors occur, a multi-tiered recovery process engages — from pattern-based correction to complete strategic replanning — with deterministic plan validation and hallucination prevention ensuring enterprise-grade resilience.
— what once meant fragile pipelines that broke at the first error is now resilient, self-correcting orchestration that turns failures into successful outcomes.
A multi-layered orchestration engine that plans, optimizes, and self-corrects — autonomously.
Strategic & Tactical Planning
Deconstructs complex requests into a high-level strategic blueprint, then executes each phase with precision, determining the single best tool or prompt to advance the plan.
Proactive Optimization
Before and during execution, the Optimizer actively enhances performance by hydrating new plans with prior data, taking tactical fast paths, and distilling context for the LLM.
Autonomous Self-Correction
When errors occur, a multi-tiered recovery process engages — from pattern-based correction to complete strategic replanning — ensuring enterprise-grade resilience.
Six subsystems guard every stage — from plan validation through autonomous recovery.
Proactive Re-planning
Detects and rewrites inefficient plans into direct, tool-only workflows for maximum speed and lower cost.
Intelligent Error Correction
Tiered recovery matches error patterns first before engaging the LLM for novel problems.
Autonomous Recovery
If a plan hits a persistent roadblock, the agent initiates recovery and generates a new plan.
Plan Validation
Validates every plan for structural flaws and corrects them before execution begins.
Hallucination Prevention
Detects hallucinated loops and invalid data sources before they reach execution.
Context Distillation
Summarizes large datasets into metadata to fit every LLM call within context limits.
From Hidden Costs to Total Visibility
Transparent, real-time cost tracking with fine-grained control
Track it. Budget it.
- Zero Surprises.
Every token tracked, every cost transparent.
Real-time cost tracking with precise token-level granularity calculates costs per interaction using model-specific pricing. A comprehensive analytics dashboard reveals total costs, averages per session, cost distribution by provider, 30-day trends, and drill-downs into costly queries. Dynamic pricing management with automatic LiteLLM sync, manual overrides, and RAG efficiency tracking shows cumulative savings from champion case reuse.
— what once meant invoice shock and opaque spending is now real-time visibility, intelligent pricing management, and data-driven cost optimization.
Complete Financial Visibility
Track every token, understand every cost, and maintain complete control over your LLM spending with enterprise-grade financial governance.
Real-Time Cost Tracking
Token-level granularity with per-interaction cost calculation using model-specific pricing.
Analytics Dashboard
Total costs, averages per session, cost distribution by provider, and 30-day trend analysis.
Intelligent Pricing
Dynamic model cost database with automatic LiteLLM sync, manual overrides, and fallback pricing.
Cost Configuration
Inline editing, bulk sync, protected manual entries, and visual badges for pricing sources.
CCR Efficiency Tracking
Champion case reuse tracking with cumulative savings from output token reduction.
Multi-Provider Comparison
Compare spending across providers with identical workloads for data-driven optimization.
Explore
Dive deeper into capabilities, licensing, and resources
Unmatched Capability
Enterprise-grade capabilities organized around six core principles that deliver production-ready AI orchestration.
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Four Profile Classes & Modular Architecture
Four execution modes: Conversation (pure LLM), Knowledge (RAG-grounded), Efficiency (Optimizer-powered), and Genie (multi-level orchestration). Switch modes instantly via @TAG syntax mid-conversation.
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Session Primer & Automatic Context
Auto-initialize new sessions with domain knowledge. Transform generic LLMs into pre-educated specialists that understand your business context from the first message.
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Skills: Pre-Processing Context Injection
Inject reusable instruction sets (!sql-expert, !concise, !step-by-step) before execution. Fully transient, parameterizable, portable as .zip, with three-tier custom creation and admin governance.
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Extensions: Post-Processing Transformations
Transform output into structured formats with #json, #decision, #extract, #classify, #summary, and #pdf. Serial chaining, four-tier custom creation framework, and portable .extension packages.
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Document Upload & Multimodal Analysis
Native multimodal across Gemini, Claude, GPT-4o, Azure, and Bedrock. Drag-and-drop PDF, DOCX, images up to 50MB with automatic text extraction fallback for non-native providers.
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Intelligent MCP Server Import
Import MCP servers from the official registry or Claude Desktop configs. Automatic format detection, bulk import, and seamless HTTP/SSE or stdio transport integration.
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Comprehensive REST API
Full programmatic control with async task-based architecture for reliable automation - session management, query execution, configuration, RAG operations, and analytics endpoints.
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Workflow Automation Integrations
Production-ready connectors for Apache Airflow (DAG-based batch automation), n8n (visual node-based workflows with Slack triggers), and Flowise (low-code agent flows). All with session reuse and profile overrides.
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Long-Lived Access Tokens
Secure automation without session management. SHA256 hashed storage with usage tracking, configurable expiration, and one-time display for enhanced security.
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Live Status Panel
Real-time window into reasoning with strategic plan visualization, tactical decisions, raw data inspection, self-correction events, and streaming updates via SSE.
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Dynamic Capability Discovery
Automatically loads all MCP Tools, Prompts, and Resources with real-time updates and visual organization in a tabbed Capabilities Panel.
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Interactive Visual Components
Knowledge Graph with entity-relationship visualization, Canvas workspace with CodeMirror 6 editing and live preview, and G2Plot chart engine with bar, line, pie, scatter, and area chart types.
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Rich Data Rendering
Query results in interactive tables, SQL in syntax-highlighted blocks, metrics in summary cards, and integrated charting engine for visualization.
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Comprehensive Token Tracking
Per-turn visibility with input/output counts, token-to-cost mapping, historical trends, and optimization insights for cost-conscious operations.
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Anti-Hallucination by Architecture
Strict retrieval-then-synthesize pattern where the LLM answers only from retrieved documents. Source traceability with citations back to specific document chunks and transparent failure when no relevant sources exist.
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Audit Logging & Monitoring
Complete activity trail with authentication events, configuration changes, API usage, admin actions, and exportable logs for compliance.
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Advanced Context Controls
Turn-level activation/deactivation, context purge, query replay, Full Context vs. Turn Summaries modes, and real-time status indicators.
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System Customization
System Prompt Editor, Direct Model Chat for testing, Dynamic Capability Management (enable/disable tools/prompts), and phased rollouts without restart.
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Self-Improving RAG System
Closed-loop learning from successes with automatic capture, token-based efficiency analysis, few-shot learning, and per-user cost savings tracking.
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Planner Repository Constructors
Modular plugin system for domain-specific optimization with self-contained templates, LLM-assisted auto-generation, and programmatic REST API population.
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Knowledge Repositories
PDF, TXT, DOCX, MD support with configurable chunking strategies, semantic search, planning-time retrieval, and marketplace integration for community knowledge.
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Intelligent Context Window Management
Nine pluggable context modules with five-pass assembly pipeline, per-module budget allocation, and four predefined context types (Balanced, Knowledge-Heavy, Conversation-First, Token-Efficient). Custom context type builder with per-session analytics.
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Fusion Optimizer Engine
Multi-layered strategic and tactical planning, proactive optimization (Plan Hydration, Tactical Fast Path), autonomous self-correction, and deterministic validation.
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Bundled Google Search MCP
Built-in Gemini Grounded Search for real-time public internet queries. Zero additional MCP server setup — every installation includes web search capability out of the box.
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Hierarchical AI Organizations
Autonomous 3-level agent hierarchies (Master → Coordinators → Specialists) with parallel execution across domains. Transform single queries into coordinated organizational intelligence.
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Multi-Provider LLM Support
Freedom to choose between Google Gemini, Anthropic Claude, OpenAI GPT-4o, Azure OpenAI, AWS Bedrock, Friendli.AI, and fully local Ollama models.
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Comparative LLM Testing
Validate model behavior across providers with identical MCP tools and prompts. Side-by-side comparison, Direct Model Chat, and profile-based A/B testing.
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Encrypted Credential Storage
Enterprise-grade Fernet symmetric encryption for all API keys with per-user isolation. Credentials never logged or exposed, secure passthrough to providers.
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Enterprise OAuth Authentication
Five OAuth providers (Google, GitHub, Microsoft Azure AD, Discord, Okta) with OIDC support. CSRF protection, email verification, account merging, rate limiting, and brute force detection built in.
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Three-Tier Access Control
Hierarchical RBAC with User, Developer, and Admin tiers spanning 68 distinct features. Permission inheritance, feature-to-tier mapping with decorators, and seamless tier-based UI adaptation.
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Multi-User Isolation
Complete session and data segregation with JWT-based authentication, user-specific directories, database-level isolation, role-based access control, and no cross-contamination.
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Privacy-First Voice Conversation
Hands-free operation with local browser speech recognition and Google Cloud TTS. Zero server-side credential storage with complete user control.
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Decoupled Planning Architecture
Cloud-level strategic planning with local data execution. Hyperscaler LLMs create plans while private on-premises models execute using historical champion patterns. Your data never leaves your infrastructure.
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License-Based Prompt Encryption
Two-layer encryption (distribution + database) with PBKDF2HMAC at 100K iterations. Tier-based prompt access control for intellectual property protection.
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Flexible Deployment Options
Single-user development to multi-user production with Docker containerization, volume mounts, configuration persistence flags, HTTPS via reverse proxy, and horizontal scaling behind load balancers.
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Real-Time Cost Tracking
Per-interaction visibility with automatic cost calculation, per-turn breakdown, session-level cumulative tracking, and historical cost trends.
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Dual-Model Cost Architecture
Strategic models (GPT-4o, Claude Opus) for planning paired with tactical models (Haiku, GPT-4o-mini) for execution deliver 70-80% cost reduction. Color-coded cost breakdown visible in the Live Status panel.
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Provider-Specific Pricing
Accurate cost attribution for all providers with context length tiers, standard/batch pricing, regional pricing, and zero external cost for local Ollama models.
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Database-Backed Persistence
Complete financial audit trail with versioned pricing, efficiency metrics tracking, session cost summaries, and exportable reports for budgeting.
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Profile-Based Spending Controls
Optimize costs by workload with tagged profiles by cost characteristics, quick switching between expensive and economical models, and @TAG syntax overrides.
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Efficiency Attribution & ROI
Quantify RAG system savings with before/after token comparison, estimated cost savings from few-shot learning, per-user attribution, and efficiency leaderboards.
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Granular Usage Controls & Quotas
Enterprise governance with four consumption tiers (Free, Pro, Enterprise, Unlimited). Per-user rate limits, token quotas, and complete audit trail for compliance.
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Agent Packs
Bundle complete agent teams (coordinator, experts, knowledge collections) into portable .agentpack files for one-click install, export, and marketplace sharing across organizations.
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Cross-Provider Agent Pack Portability
Automatic LLM provider harmonization when importing agent packs. Maps original provider models to locally available alternatives, ensuring packs work across any installation regardless of configured providers.
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Template Marketplace
Create templates from best RAG cases with one click, browse community templates, deploy to your repository instantly, star rating system, and usage statistics.
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Rich Template Metadata
Structured metadata with name, description, creator, timestamps. Tag-based categorization, target repository specification, version tracking, and search/filtering.
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Seamless Template Deployment
User selects target repository during deployment, system validates compatibility with schema, deployed cases immediately available for RAG retrieval.
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Community Knowledge Sharing
Transform individual expertise into collective intelligence. Subscribe to curated collections, fork specialized repositories, and benefit from community-validated strategies.
Ready to Revolutionize Your Data Workflow?
Get started in minutes and experience a new way to interact with your data ecosystem.
1. Clone the Repo
Get the complete source code and documentation from our official GitHub repository.
2. Configure Your Agent
Connect to your MCP server and your preferred LLM provider through the simple configuration UI.
3. Start Conversing
Ask your first question in natural language and watch the agent deliver insights in seconds.
Open for Community, Built for Enterprise
Flexible licensing designed to foster open collaboration and support commercial innovation.
| Tier | License | Intended User | Key Feature |
|---|---|---|---|
| App Developer | AGPLv3 | Developers integrating the agent. | Standard, out-of-the-box agent use. |
| Prompt Engineer | AGPLv3 | AI specialists creating prompts. | Includes prompt editing capabilities. |
| Enterprise Light | AGPLv3 | Business teams needing a tailored solution. | Customized for specific business needs. |
| Enterprise | MIT License | Commercial organizations. | Proprietary use, full prompt editing. |