TeGo AI Super Team
Build an Untiring AI Super Team
Enable multiple AI agents to think autonomously, collaborate intelligently, and execute concurrently like a real team. Based on LAMP collaboration framework and DAG concurrent scheduling engine, achieve 300%+ task execution efficiency improvement, 95%+ complex task success rate, and <100ms agent collaboration response. From agent silos to super teams, let AI truly create value for enterprises.
Four Core Capabilities
From task understanding to autonomous execution, building a true AI Super Team
Intelligent Task Decomposition · Understand Intent & Auto Plan
Understand high-level business objectives, automatically decompose into executable subtasks, intelligently match suitable agent team members. Support intent understanding, task decomposition, dependency analysis, and execution plan generation, transforming complex tasks into clear execution steps.
TeGo Core Technical Advantages
Full-Process Visual Tracking
DAG view displays task dependencies, timeline view tracks execution progress, reasoning view presents agent analysis process, communication view monitors team collaboration messages. Fully observable, traceable, and auditable.
Dynamic Replanning Capability
Automatically identify 7 types of execution anomalies, analyze 4 trend directions to predict task trajectory. Auto-trigger plan adjustment when severe anomalies detected, ensuring task completion with 95%+ success rate.
Enterprise-Grade Secure Deployment
Support private deployment, hybrid cloud deployment, and SaaS service modes. Complete permission system and audit mechanisms meet enterprise data security and compliance requirements, ensuring business data safety.
TeGo AI Super Team
Build an Untiring AI Super Team to Autonomously Complete Complex Business Tasks
Four Major Challenges in Enterprise AI Applications
Agent silos, fragmented capabilities, lack of governance, efficiency bottlenecks—data isolated between different AI tools unable to collaborate, broken processes requiring manual assembly, lacking unified permissions and audits, serial execution with low efficiency. Enterprises urgently need a solution that enables true AI collaboration.
TeGo's Solution
Build AI Super Team: Enable multiple agents to think autonomously, collaborate intelligently, and execute concurrently like a real team. Based on LAMP collaboration framework and DAG concurrent scheduling engine, break down AI tool barriers, achieve unified management, intelligent collaboration, and continuous evolution. From agent silos to super teams.
Four Core Capabilities
End-to-end intelligent collaboration from understanding intent to closed-loop delivery
Intelligent Task Decomposition
Understand user's high-level business objectives, automatically decompose into executable subtasks
- Intent understanding and semantic parsing
- Task decomposition and agent matching
- Dependency analysis and execution plan generation
Concurrent Intelligent Scheduling
Based on DAG analysis, automatically identify parallelizable tasks, maximize execution efficiency
- Topological sorting and hierarchical partitioning
- Parallel launch of independent tasks
- Dynamic concurrency adjustment and anomaly isolation
Intelligent Collaboration & Decision
Deep agent collaboration through LAMP framework
- Information sharing and knowledge transfer
- Trust management and belief updating
- Multi-source information fusion for collaborative decision-making
Continuous Learning & Optimization
System with continuous learning capability, getting smarter over time
- Successful trajectories auto-stored in experience pool
- Failed cases as counter-examples to avoid repeating mistakes
- New tasks retrieve similar experiences to reuse successful strategies
Typical Application Scenarios
Validated across multiple industry scenarios with proven business value—from hours of manual coordination to minutes of automated completion
Core Scenarios
Enterprise Travel Management
Covers travel requests, approvals, flight/hotel booking, scheduling, and expense estimation—2-3 hours of coordination work completed automatically in 5 minutes
Project Kickoff Process
Automatically completes project space creation, resource allocation, environment setup, notifications, and scheduling—project kickoff reduced from 1-2 days to 30 minutes
Intelligent Customer Service
Ticket creation, customer contact, issue diagnosis, intelligent decision (exchange/repair/refund), satisfaction follow-up—response time reduced from hours to minutes
Multi-Agent Collaborative Scheduling System
Enable AI agents to collaborate like high-performing teams, powered by the cutting-edge LAMP framework for autonomous multi-agent coordination
LAMP Three-Stage Reasoning Framework
Language-Augmented Multi-Agent Policy · Advanced Agent Collaboration
Think
Continuously analyze task progress, detect anomalies (shock detection), predict trends, perform short-term and long-term reasoning
Speak
Information sharing, knowledge transfer, and trust management between agents, supporting A2A protocol communication
Decide
Synthesize numerical data, reasoning results, and belief states for optimal decisions with adaptive strategies
Core Technology Highlights
DAG Concurrent Scheduling
Auto-analyze task dependencies, execute parallel tasks simultaneously, 2-5x efficiency boost
Experience Pool Learning
Vector storage of successful experiences, intelligent retrieval and reuse of historical strategies
A2A Open Protocol
Support Agent2Agent standard protocol, compatible with Google A2A standard
Dynamic Replanning
Auto-trigger plan adjustment when severe anomalies detected, ensuring task completion
Key Performance Metrics
Advantages Over Traditional Solutions
Complete upgrade from single AI assistant to multi-agent team collaboration
Autonomous Decisions
Self-deciding and self-optimizing agents without fixed workflows
Concurrent Execution
Multi-task parallel processing, significantly reducing cycle time
Continuous Learning
Experience accumulation and reuse, increasingly efficient for similar tasks
Secure & Controllable
Enterprise-grade permission system, complete audit trails, flexible access control
Choose the Right Plan for You
From free trial to enterprise flagship, flexibly matching your business scale and governance needs
Community Edition
Experience core multi-agent collaboration features
Perfect for individual developers and small teams, zero cost to start, forever free.
Features Included
- Basic agent collaboration capabilities
- Single task automation
- Basic visual workspace
- Community technical support
Subscription Edition
Enterprise private deployment, flexible annual subscription
Starting from $7,000/year, high availability + compliance + managed services
Includes all Community features, plus:
- Complete LAMP intelligent collaboration framework
- DAG concurrent scheduling engine
- Experience pool continuous learning
- Private environment deployment
- Service availability monitoring
- One-on-one customer support
- Delegated deployment & maintenance
TeGo AI Super Team · Enterprise
Full-chain agent collaboration and governance platform, enterprise priority
Custom branding + high security + dedicated support + POC validation, custom pricing
Includes all Subscription features, plus:
- Complete A2A open protocol support
- Cross-enterprise agent collaboration
- Custom brand identity
- Premium after-sales service
- Audit, deployment & POC support services
Experience TeGo AI Super Team
Enterprise Services
Get enterprise-grade multi-agent collaboration solutions and custom services
Contact SalesFrom Agent Silos to AI Super Team
Enable AI agents to autonomously collaborate like high-performing teams and automatically complete complex business tasks
We are not just integrating AI tools, but enabling multiple agents to think autonomously, collaborate intelligently, and execute concurrently like a real team. Break down barriers between AI tools with unified management, intelligent collaboration, and continuous evolution to truly achieve enterprise AI at scale
TeGo vs Traditional AI Platforms - Differentiation
From Silos to Team: Solve agent silo problems, enable true AI collaboration instead of working in isolation
From Serial to Concurrent: DAG concurrent scheduling engine, parallel task execution, 2-5x efficiency improvement
From Tools to Intelligence: Based on LAMP collaboration framework, agents autonomously reason and decide like human teams
LAMP Intelligent Collaboration Framework
Think-Speak-Decide three-stage reasoning pipeline, enabling agents to continuously reason, share information, and make collaborative decisions like human teams, improving task success rate by 15-25%
DAG Concurrent Scheduling Engine
Automatically analyze task dependencies, execute parallel tasks simultaneously, transform from serial to concurrent, achieve 2-5x efficiency improvement, response speed as low as <100ms
Experience Pool Continuous Learning
Vector storage of successful experiences, intelligent retrieval of historical cases, automatic reuse of best strategies for new tasks, reducing planning time by 40-60%, getting smarter over time
A2A Open Protocol
Support Agent2Agent standard protocol for seamless integration with third-party agents, expand team capability boundaries, build open enterprise AI ecosystem
TeGo AI Super Team, build an untiring AI team to automatically complete complex business tasks.