Intelligence
Actionable insights and collaborative knowledge sharing
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:
From Guesswork to Clarity
Full Transparency for Absolute Trust
Most AI tools are a 'black box,' leaving you to guess how an answer was derived. We believe trust requires transparency.
Strategic Plan Visibility
Before taking action, the agent constructs and displays a clear, high-level plan. You see its approach upfront, building confidence that it understands the goal.
Transparent Tool Execution
Every tool call is rendered in real-time. You see exactly which function is executed and what data is passed, leaving no room for guesswork about the agent's actions.
Visible Self-Correction
Mistakes become trust-building moments. The agent openly displays errors and its recovery process, proving its resilience and ability to intelligently navigate obstacles.
The Live Status Window is our commitment to showing you every step of the agent's thought process, from plan to execution to recovery.
The User's Goal
A simple business question.
"What were our top 5 selling products by revenue last quarter?"
Traditional AI
The Answer Appears... But How?
An Answer is Provided
(Process Unknown)
Uderia
Every Thought, Every Action, Revealed.
A Trustworthy Answer
(Process Verified)
Sovereignty
Data sovereignty, transparency, and complete control over your AI infrastructure
From Data Exposure to Data Sovereignty
Your data, your rules, your environment.
True sovereignty used to mean compromising on intelligence—until now. Uderia decouples Strategic Planning from Model Execution. By infusing local models with "Champion Cases"—proven strategies retrieved from your organization's collective history—Uderia enables private, local models to execute complex workflows with the sophistication of a hyperscaler. You get the reasoning power of the cloud, contained entirely within your secure perimeter.
Strategic Planner
Cloud LLM
Hyperscaler IntelligenceLocal Executor
Private Model (Ollama)
Your InfrastructureSophisticated Execution
Cloud reasoning + Local privacy
Best of Both WorldsMost AI agents start from zero with every query. Uderia builds Institutional Memory. Our closed-loop RAG system automatically captures successful strategies, identifies the most efficient "Champion Cases," and teaches the agent to reuse them. The result? Your platform gets faster, cheaper, and smarter with every interaction, turning individual successes into permanent organizational assets.
1. Capture & Analyze
Every successful, tool-using turn is automatically captured and saved as a "case study". The system then analyzes its efficiency based on total token cost.
2. Identify "Best-in-Class"
The system compares the new strategy against all past attempts. It identifies and promotes the single "most efficient" plan to "champion" status (`is_most_efficient: True`).
3. Augment & Evolve
On future, similar queries, the agent retrieves this "champion" example. This guides the Planner to generate a high-quality, proven, and cost-effective plan from day one.
The agent gives you the ultimate freedom to choose your data exposure strategy. Leverage the immense power of hyperscaler LLMs, governed by their terms, or run fully private models on your own infrastructure with Ollama, keeping your data governed entirely by your rules.
Whether it's a private model running on your own hardware or a cutting-edge commercial API, the agent connects to the tools you've already approved.
From Isolated Expertise to Collective Intelligence
Transform individual expertise into collective organizational knowledge
The Intelligence Marketplace
Crowdsource best practices, share proven execution patterns, and benefit from community-validated strategies. The marketplace creates a powerful ecosystem where collective intelligence amplifies individual capabilities.
Create Templates
Turn your best RAG cases into reusable templates with one-click creation. Share proven SQL patterns, API workflows, and domain expertise with structured metadata and categorization.
Discover & Deploy
Browse the marketplace with powerful search and filtering. Deploy templates to your repository with one click, fork for customization, and rate collections for community quality assurance.
Reduce Costs
Leverage proven patterns to minimize token consumption. Community-validated strategies reduce failed attempts, lower onboarding costs, and create network effects where more users mean more valuable patterns.
Dual Repository Types
Share both Planner Repositories (execution patterns) and Knowledge Repositories (reference documents) through a unified marketplace with visual separation and dedicated tabs.
Community Quality Assurance
1-5 star rating system with optional text reviews. Average ratings displayed on collection cards. Cannot rate own collections to ensure objectivity. Browse top-rated collections for proven quality.
Subscribe or Fork
Reference-based subscriptions (no data duplication) or create independent copies for customization. Build on proven strategies while maintaining independence through fork-and-improve workflow.
Flexible Publishing
Share as Public (fully discoverable), Unlisted (accessible via direct link only), or Private (owner-only). Update visibility anytime with full ownership and control.
Secure Access Control
JWT-authenticated API endpoints with ownership validation. Usernames visible for transparency and attribution. Privacy-first design with granular visibility controls.
REST API Integration
Programmatic marketplace operations for automation: browse, subscribe, fork, publish, and rate collections via API for CI/CD workflows and deployment pipelines.
Collaborative Intelligence Platform
The marketplace transforms the agent from a single-user tool into a collaborative intelligence ecosystem where pattern sharing, community validation, and knowledge reuse amplify individual capabilities.
Efficiency
Optimized performance and complete financial visibility
From $$$ to ¢¢¢
Efficient, optimized, and cost-effective
Our revolutionary engine features a multi-layered architecture for resilient, intelligent, and efficient task execution.
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.
Proactive Re-planning
Detects and automatically rewrites inefficient, complex plans into a more direct, tool-only workflow for maximum speed and lower cost.
Intelligent Error Correction
Uses tiered recovery, matching specific error patterns first (e.g., 'table not found') before engaging the LLM for novel problems.
Autonomous Recovery
If a plan hits a persistent roadblock, the agent doesn't give up. It initiates recovery and asks the AI to generate a new plan to work around the failure.
Deterministic Plan Validation
Proactively validates every plan for structural flaws—like misclassified capabilities—and corrects them instantly before execution begins.
Hallucination Prevention
Specialized orchestrators detect and correct "hallucinated loops" where the LLM invents an invalid data source, ensuring correct, deterministic iteration.
Context Distillation
Automatically summarizes large datasets into concise metadata before sending them to the LLM, ensuring robust performance with enterprise-scale data.
From Hidden Costs to Total Visibility
Transparent, real-time cost tracking with fine-grained control
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
Every LLM interaction tracked with precise cost calculation based on actual token usage and model-specific pricing. View cumulative costs across all sessions with transparent, token-level granularity.
Comprehensive Analytics Dashboard
Admin-accessible analytics with deep insights: total costs, averages per session/turn, cost distribution by provider, top 5 most expensive models, 30-day trends, and drill-down into costly queries.
Intelligent Pricing Management
Dynamic model cost database with automatic sync from LiteLLM, manual overrides for custom models, configurable fallback pricing, source tracking, and full audit trail with timestamp tracking.
Cost Configuration Tools
Powerful administrative interface with inline editing of model pricing, bulk pricing sync, protected manual entries, configurable fallback pricing, and visual badges distinguishing manual vs. automatic pricing.
RAG Efficiency Tracking
Cost savings metrics from RAG system reuse, showing cumulative savings through champion case retrieval and per-user cost savings attribution for continuous improvement ROI visibility.
Multi-Provider Comparison
Compare actual spending across different LLM providers with identical workloads, enabling data-driven decisions for cost optimization and provider selection strategies.
Cost Management Architecture
All pricing data stored locally in SQLite with encrypted credentials, ensuring data sovereignty while providing enterprise-grade financial visibility. Admin-only REST API endpoints ensure secure access to financial data.
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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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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Apache Airflow Integration
Production-ready DAG examples for batch automation with session reuse, profile overrides, and async polling patterns for long-running executions.
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Modular Profile System
Separate infrastructure from usage patterns with named profiles combining LLM providers and MCP servers. Quick switching via tags like @PROD or @COST.
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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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Docker Deployment
Production-ready containerization with multi-user support, configuration persistence flags, volume mounts for data, and load balancer ready for horizontal scaling.
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Flowise Integration
Low-code workflow automation with pre-built agent flows, async submit & poll patterns, and visual workflow designer for complex orchestration and chatbots.
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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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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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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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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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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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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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Flexible Deployment Options
Single-user development, multi-user production with load balancers, HTTPS via reverse proxy, configuration persistence flags, and Docker volume mounts.
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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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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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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. |