With hundreds of AI models now available, teams struggle to choose the right one for their specific needs.
Create a decision engine that recommends models based on inputs like use case, accuracy needs, latency requirements, and budget. Include benchmarking data and deployment considerations.
AI teams and product managers would pay to reduce research time and avoid costly mistakes.
The MVP could be a simple questionnaire with basic recommendations.
The risk is the fast-changing model landscape making recommendations obsolete quickly.