Maximize ROI on Your AI Compute Investment
Same AI tools, 2x productivity difference between users. We help enterprises identify, develop, and monitor high-performing AI talent.
Is Your AI Investment Really Delivering Returns?
Surging Compute Costs
AI token consumption is becoming your largest cost center, yet ROI remains opaque and difficult to measure.
Amplified Human Disparities
Even at AI-native companies like Anthropic, average employees see 50% productivity gains while the top 14% "power users" achieve 100%+ gains.
Unable to Measure and Optimize
You don't know who your power users are, how to develop more of them, or how to prioritize compute allocation for maximum impact.
The Talent ROI Platform for the AI Era
Through AI-native assessment, training, and monitoring systems, we help enterprises identify and develop AI collaboration experts, maximizing returns on every compute dollar spent.
Assessment
Identify seven dimensions of AI collaboration capability, discover your power users and capability gaps.
Training
Personalized AI capability development plans based on assessment results, scaling power user development across your organization.
Monitoring
Continuously track team AI efficiency, intelligently optimize compute allocation decisions for maximum ROI.
Three Steps to Enhance Team AI Collaboration ROI
In-Depth Assessment
Employees complete real-world AI collaboration tasks. Our system automatically analyzes seven core capability dimensions to generate comprehensive profiles.
Gain Insights
Generate individual capability reports and team efficiency distribution. Precisely identify optimization directions and understand where to focus development efforts.
Continuous Improvement
Implement personalized training plans and establish long-term efficiency monitoring. Develop more power users and continuously optimize your AI investments.
How We Evaluate AI Collaboration Capability
We assess fundamental capabilities that won't become obsolete as AI evolves, not specific operational techniques.
Discovery & Self-Understanding
Clarify unclear goals and ideas through AI interaction
Iterative Optimization & Feedback
Continuously adjust based on AI output, improve results through trial and error
Expression & Translation
Translate vague ideas into concrete instructions AI can understand
Selection & Prioritization
Effectively evaluate and prioritize multiple options provided by AI
Exploratory Discovery
Break through cognitive boundaries with AI, discover unforeseen problems
Natural Language World Modeling
Build clear work context and knowledge frameworks for AI through language
Self-Verification & Human Trust
Critically evaluate AI output, establish rational trust
An Assessment System Designed for the AI Era
Real-World Scenario Simulation
Take-home tests designed around actual work scenarios, not theoretical questionnaires.
AI-Native Design
Test-takers use real AI tools to complete tasks, observing actual collaboration behaviors.
Multi-Dimensional Evaluation
Comprehensive profiling across seven capability dimensions, precisely identify development directions.
Benchmark Analysis
Compare against industry and role-specific data, clearly understand relative positioning.
Privacy Protection
Enterprises receive only aggregated reports, no access to employee conversation content.
Continuous Evolution
Assessment framework continuously updates with AI development, maintaining validity.
Applicable to Multiple Business Scenarios
Recruitment Screening
Add AI collaboration capability assessment to technical interviews. Screen candidates who can truly leverage AI to drive productivity.
Compute Optimization
Allocate AI tool quotas based on assessment results. Give high-performing employees more resources for maximum ROI.
Team Diagnostics
Quickly identify power users and members needing improvement. Optimize training investment with data-driven insights.
Promotion Evaluation
Incorporate AI collaboration capability into promotion criteria. Adapt to AI era talent requirements and expectations.
Deep Expertise in Both AI and Assessment
Minsheng Liu
CTO
National linguistics olympiad team member, AI technology expert
Yihan Zhou
CEO
CMU Computer Science undergraduate, serial entrepreneur, $11M revenue from last venture
Guorong Zhu
Assessment Advisor
30 years talent assessment experience, built talent models for IBM and Microsoft
Advisory Team
Former Korn Ferry / Hay Group senior advisors with extensive Chinese enterprise HR executive networks and deep expertise in talent assessment methodology.
Frequently Asked Questions
After submitting the booking form, our customer success team will contact you within 24 hours to arrange assessment timing and process details.
The complete assessment takes approximately 1-2 hours and can be completed in multiple sessions. We designed it as a take-home format to avoid disrupting daily work.
Our seven-dimension framework is based on empirical AI collaboration research, validated through 3,000+ assessments. The framework will continue validation through academic research.
We assess fundamental capabilities (critical thinking, clarity of expression, iterative learning ability) that don't change with AI upgrades. Specific usage patterns are just observation windows.
Enterprises receive only aggregated reports and anonymized team analysis, with no access to specific employee conversation content. We only analyze work scenario data.
We recommend at least 10 people to generate meaningful team analysis reports. Teams smaller than 10 can also book; we'll provide customized solutions.
Start Optimizing Your AI Investment Returns
Join 50+ leading enterprises in making your AI compute investment deliver real value.
- 30-minute quick overview
- Receive sample report
- Dedicated customer advisor service
Schedule a Product Demo
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“The assessment results gave us the first clear view of our team's real AI usage disparities. Now we know exactly where to focus our investment.”
Michael Zhang
CTO at AI Startup