Applied AI Research Lab
Applied AI Research & Venture Innovation Lab
Client
Massive Fractal Ventures
Year
2024–Present
Role
Research Director · AI Systems Architect · Strategic Advisor
At a Glance
12+
Theses Validated
8 cos
Portfolio Impact
2wk cycles
Research Velocity
Context
Massive Fractal Ventures identified the need for an internal research function to evaluate emerging AI capabilities, prototype novel applications, and de-risk technical assumptions before committing capital.
Problem
- 01Rapid AI advancement outpacing traditional due diligence
- 02Gap between research breakthroughs and practical applications
- 03Need for technical validation before investment decisions
- 04Limited internal capability to prototype AI systems
Approach
How we tackled the problem.
Established research protocols for evaluating frontier AI models
Built rapid prototyping infrastructure for proof-of-concepts
Created frameworks for assessing AI technical moats
Developed internal knowledge base on emerging capabilities
Solution
What we built.
Applied research lab with prototyping capabilities
Technical due diligence frameworks for AI investments
Portfolio company AI enablement programs
Quarterly frontier technology assessments
Results
Measurable outcomes from the engagement.
- ✓Validated 12+ AI-native investment theses
- ✓Accelerated portfolio company AI adoption
- ✓Established technical credibility with founders
- ✓Created repeatable AI evaluation playbook
Learnings
What I took away from this project.
Research value compounds when connected to capital
Speed of learning beats depth of analysis
Technical credibility opens founder relationships
Tech Stack
Let's build something.
Interested in working on a similar challenge? I'd love to hear from you.
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