Product Categories

Pricing for general-purpose AI platforms — model APIs, inference services, and multi-model hosting providers.

Pricing models used by tools sold to developers — IDEs, CLIs, libraries, voice-to-code, and adjacent products.

Pricing for vertical SaaS products — AI software purpose-built for a specific industry (legal, healthcare, sales, marketing).

Pricing for horizontal AI SaaS — productivity and workflow products sold across industries rather than to one vertical.

Pricing for AI compute infrastructure — GPU clouds, serverless inference, and training platforms.

Pricing for data platforms — scraping, enrichment, search API, and knowledge-graph vendors.

Pricing for products whose primary surface is AI-assisted coding — IDEs, completion engines, and review agents.

Pricing for customer service software platforms — ticketing, chat, automation, and AI agent products.

Pricing for AI-era fintech products — billing infrastructure, accounting automation, and financial operations platforms.

Pricing for LLM and ML observability platforms — tracing, evaluation, and monitoring of model behavior in production.

Pricing for AI-powered security products — covering code security, voice fraud detection, SOC automation, and threat analysis.

Pricing for platform-as-a-service products that abstract away the underlying infrastructure and bill for higher-level units.

Pricing for platforms purpose-built to observe, debug, and optimize LLM application behavior — logging prompts, responses, latency, and cost.