Orchestrate AI tools into reliable chained workflows to automate projects

Orchestrate AI tools into reliable chained workflows to automate projects targets a $120.0B = 200M knowledge workers x $600/yr for AI workflow tooling and automation total addressable market with medium saturation and a year-over-year growth rate of 40%+ annual growth in AI developer tools and automation demand as enterprises adopt LLMs.

Key trends driving demand: LLM API commoditization -- cheaper, faster model endpoints allow multi-model orchestration to be cost-effective and productive.; Rise of prompt engineering -- teams need standardized patterns to reliably get desired outputs from models.; Composable tooling ecosystems -- APIs, connectors and serverless functions enable stitching models to business logic.; No-code + dev-first convergence -- both non-technical and developer users expect hybrid interfaces for building AI flows..