Elevo AI
GiveEvery EnterpriseIts Own
AI AgentsTeamGiveEvery EmployeeTheir Own
Digital Twin
Say goodbye to expensive digital transformation. Elevo transforms business logic into AgentsTeam, making intelligent collaboration as natural as breathing.
Core Application Scenarios
Covering core business flows with plug-and-play scenario-based digital twins
Lead to Cash
Covers the entire process from finding potential customers (leads) through marketing, to sales follow-up, contract signing, delivery, and finally receiving payment.
Key Steps
- 1Marketing: Lead generation, campaign management
- 2Sales Management: Opportunity management, quoting (CPQ)
- 3Order Management: Order entry, credit review
Three-Layer Architecture Empowering Enterprise Intelligence Evolution
Reshaping enterprise core productivity by integrating your scenarios, people, applications, and knowledge
Digital Twin Collaboration Space
Map the physical organization into digital twins. AI deeply identifies business domain objects, reshapes process flows, and transforms enterprise knowledge graphs into active business assets.
Core Capabilities
Tacit Experience Capitalization
Transform implicit know-how in employees' minds into explicit knowledge assets that digital twins can inherit and reuse.
Business Object Intelligence
Use AI to identify business domain objects (such as orders, customers, contracts), automatically reshape business processes based on object states, rather than rigid rule stacking.
New Paradigm of Intelligent Collaboration
Human-AI Companion Work
Agents reside in collaboration groups and documents like colleagues, perceiving context in real-time, proactively providing data support and decision recommendations.
Dynamic Process Orchestration
Break traditional rigid approval flows. AI adaptively adjusts process nodes and flow paths based on collaboration content and risk levels.
Panoramic Window
Aggregate all relevant business object information in one space, eliminate system switching, and let collaboration focus on value creation.
Intelligent Execution
Task Decomposition and Planning
Facing complex and ambiguous business instructions, agents can autonomously decompose them into executable sub-task sequences (Chain of Action).
Autonomous Tool Invocation
Without hard coding, agents dynamically determine and invoke the most appropriate tools or data interfaces based on task requirements to complete delivery.
AI AgentsTeam
Build a role-based digital workforce. Empower agents with real business perception and execution capabilities, bringing AI deep into business scenarios.
Core Capabilities
Role-based Agent Matrix
Pre-configured job-level agents for product, sales, operations, etc., with built-in chain of thought (CoT) and work standards for professional roles, ready to use out of the box.
Full-domain Connection Capability
Deeply integrate internal and external enterprise systems and tools, transform APIs and SaaS software into agent execution capabilities, achieving autonomous cross-system operations.
AgentOS Operating System
The central nervous system and power base. Unified orchestration of heterogeneous computing power and business data, ensuring continuous knowledge precipitation and system evolution.
Core Architecture
Unified Orchestration Engine
Shield underlying model differences, uniformly schedule LLMs, workflows, and plugin resources, ensuring high-stability operation of business logic in complex scenarios.
Layered Knowledge Graph
Build a three-level knowledge architecture of organization, space, and individual, transforming data from fragments into structured long-term memory that agents can understand.
Self-evolution Loop
Human-AI Collaborative Feedback
Capture manual corrections and decision data from every collaboration, automatically feeding back to the model.
Performance Self-optimization
Continuously monitor agent execution effectiveness, achieving system-level self-iteration and capability enhancement.
Architecture Design
Complete technology stack from computing layer to business layer, connecting internal and external enterprise systems, building an intelligent collaboration ecosystem
Layered Architecture
Six-layer architecture design from computing layer to scenario layer, ensuring system scalability and stability
System Integration
Deep integration with enterprise core systems such as JIRA, DevOps, CMDB, ITSM
AI Capabilities
Core AI capabilities including multi-agent collaboration, MoE (Mixture of Experts), autonomous decision-making
A Fashion Group: How Security Team Was Reduced from 6 to 2 People
Before Implementation
- Security incident handling required a 6-person team
- Average response time: 2-4 hours
- Manual processing, error-prone
- High pressure for night shifts
- Experience dependent on core personnel
After Implementation
Powered by Elevo- Team reduced to 2 people (67% reduction)
- Average response time: 15 minutes
- Automation rate reached 85%
- 24/7 unmanned operation
- Systematic knowledge precipitation
Start Your AI AgentsTeam Journey
Book a demo and experience the unlimited potential of enterprise digital twins