You Build. We Bring the Problems.
Stop guessing what enterprises need. Get direct access to validated use cases from domain experts who understand real business constraints.
"The hardest part of AI product development isn't the code—it's knowing which problem to solve. We solve that for you."
What You Get
We don't just connect you with clients. We provide the structured problem definitions, domain expertise, and business context that transform technical skills into valuable solutions.
Direct Enterprise Access
Connect with domain experts who have 10+ years of experience in finance, healthcare, manufacturing, and other enterprise sectors. No more cold outreach or guessing games.
Validated Problem Definitions
Work on use cases that have been rigorously structured and validated by industry veterans. Every problem comes with clear business constraints and success criteria.
Equity-Based Partnership
Build ownership, not just projects. Our equity model ensures you benefit from the long-term success of solutions you create, not just hourly rates.
Deep Domain Learning
Gain insider knowledge of enterprise operations, regulatory requirements, and business processes that typically take years to understand.
Who We're Looking For
We're not looking for code monkeys or AI enthusiasts. We need experienced developers who understand that technical excellence means nothing without the right problem to solve.
Technical Background
- 5+ years of software development experience
- Strong foundation in AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Production deployment experience with scalable systems
- Understanding of data pipelines and model lifecycle management
Business Mindset
- Frustrated by market-fit challenges in previous projects
- Values sustainable business models over quick technical wins
- Interested in long-term equity participation
- Willing to deeply understand domain constraints
Working Style
- Comfortable with structured problem-solving methodologies
- Appreciates intellectual honesty over marketing hype
- Can translate business requirements into technical architecture
- Seeks collaborative partnerships with domain experts
Not a fit? If you're just starting out or primarily interested in technical challenges without business context, we recommend gaining more enterprise experience first. Our partnerships require both technical depth and business maturity.
The Partnership Process
From application to active development, here's what to expect. Total timeline from submission to starting development: 6-10 weeks.
Application Submission
1 weekSubmit your technical background, portfolio, and areas of AI expertise. We review applications within 5 business days.
Technical Assessment
1-2 weeksComplete a structured problem-solving exercise that evaluates your ability to translate business requirements into technical solutions.
Domain Expert Matching
1 weekWe match you with domain experts whose use cases align with your technical strengths and interests.
Use Case Deep Dive
2-3 weeksParticipate in detailed sessions with domain experts to understand problem context, constraints, and success criteria.
Partnership Agreement
1-2 weeksFinalize equity structure, deliverables, timeline, and ownership terms. Legal documentation completed.
Development & Iteration
3-6 monthsBuild the solution with ongoing access to domain experts for validation and refinement.
Timeline Flexibility
These timelines are estimates. Complex use cases may require additional discovery time, while simpler problems can move faster. We prioritize thoroughness over speed.
Developer Success Stories
Real partnerships. Real problems. Real outcomes. These developers built solutions that matter because they had access to the right domain expertise.
Sarah Chen
ML Engineer, 7 years experience
Predictive Patient Flow Optimization
Challenge
Hospital emergency departments struggled with unpredictable patient volumes, leading to overcrowding and delayed care. Traditional scheduling models failed to account for complex variables like seasonal patterns, local events, and demographic shifts.
Solution
Built a multi-variable forecasting system that integrated historical patient data, local event calendars, weather patterns, and demographic trends. The model provided 6-hour advance predictions with 87% accuracy.
Outcome
Reduced average wait times by 34%, improved staff allocation efficiency by 28%, and decreased patient walkouts by 41%. The system is now deployed across 12 hospital locations.
34% reduction in wait times
28% staff efficiency gain
41% fewer patient walkouts
12 hospital deployments
"Working with Dr. Roberts gave me insights into hospital operations I never would have gained otherwise. The problem was perfectly structured—I could focus on building the right solution instead of guessing what hospitals needed."
— Sarah Chen
Featured Use Cases
These are examples of the structured problems you'll work on. Each comes with detailed business context, success criteria, and direct access to domain experts.
Automated Contract Risk Analysis
Build NLP system to identify risk clauses in commercial contracts, flagging non-standard terms and suggesting alternatives based on industry benchmarks.
Required Skills
Predictive Maintenance for Industrial Equipment
Develop time-series forecasting model to predict equipment failures 48-72 hours in advance using sensor data, maintenance logs, and operational parameters.
Required Skills
Personalized Treatment Response Prediction
Create ML model to predict patient response to specific treatments based on genetic markers, medical history, and demographic factors while maintaining HIPAA compliance.
Required Skills
Frequently Asked Questions
Honest answers to common questions about our developer partnerships.
Still Have Questions?
We prefer detailed conversations over generic FAQs. If your question isn't answered here, include it in your application or reach out directly through our contact page.
Ready to Build Solutions That Matter?
Stop building demos. Start building businesses. Apply now to get matched with domain experts who have real problems worth solving.
Applications reviewed within 5 business days • No application fees • Equity-based partnerships only