Control LLM prompt costs and redact sensitive prompt data

Control LLM prompt costs and redact sensitive prompt data targets a $2.4B = 400,000 developer-led startups & SMBs × $6K ACV total addressable market with medium saturation and a year-over-year growth rate of 30% YoY growth in AI/ML tooling adoption and developer tooling spend (source: industry analyst reports on AI infrastructure adoption).

Key trends driving demand: Rapid multi-provider adoption — teams are experimenting with multiple LLM vendors, creating operational complexity and cost variability that neutral middleware can address.; Data privacy and prompt leakage awareness is increasing — companies are more likely to adopt tools that automatically redact or block secrets before they leave their environment.; Shift to API-first tooling — developers prefer lightweight, API-driven middleware they can drop in, reducing sales friction for developer-focused products.; Cost sensitivity at scale — as model usage increases, small inefficiencies compound, so cost-optimization features are becoming a purchasing factor..