Reduce AI cost and vendor lock-in by comparing & mixing multiple LLMs

Reduce AI cost and vendor lock-in by comparing & mixing multiple LLMs targets a $60.0B = 200M knowledge workers x $300/yr average spend on AI-assist tools total addressable market with medium saturation and a year-over-year growth rate of 28–40% annual growth in AI tooling adoption and LLM API spend.

Key trends driving demand: Model proliferation -- Many specialized LLMs and open weights increase need to compare & route automatically.; Cost sensitivity -- Rising per-token API fees push teams to optimize model selection and hybrid usage.; Prompt engineering professionalization -- Standardized prompts and templates become key IP and a source of product differentiation.; Composable AI stacks -- Teams are building multi-model pipelines (retrieval-augmented, chain-of-thought) that require orchestration tools..