Fragmented ML APIs → unified, self‑hosted web segmentation platform targets a $10.0B = 200k enterprises x $50K ACV (global enterprises and mid-market using computer-vision tooling) total addressable market with medium saturation and a year-over-year growth rate of 20-30% annual growth in computer-vision software and deployment demand.

Key trends driving demand: Open-source foundation models -- high-quality base models reduce R&D time and enable competitive entrants that integrate rather than re-train.; Edge/self-hosted inference -- demand for privacy/compliance drives adoption of local deployments for sensitive image data.; Model orchestration & MLOps -- teams want multi-model pipelines (ensemble, fallback) and unified management across models and versions.; Active learning & annotation tooling -- integrated UX that closes the loop from labeling to model updates increases productivity and retention..