Market Opportunity
Stop hidden LLM costs — privacy-first token calculator for RAG apps targets a $12.0B = 400k software teams x $30K ACV total addressable market with medium saturation and a year-over-year growth rate of 35%+ enterprise spend growth on AI tooling / observability.
Key trends driving demand: LLM & RAG adoption -- more teams rely on retrieval-augmented workflows, increasing token spend and complexity.; Cost sensitivity -- per-token model pricing pushes engineering teams to seek tooling that attributes and optimizes spend.; Privacy & prompt-leakage awareness -- enterprises demand that system prompts and chain-of-thought remain private.; Edge/browser runtimes & wasm -- enable accurate client-side tokenization and metering without server round-trips..
Key competitors include OpenAI (API + Usage Dashboard), tiktoken (Open-source tokenizer by OpenAI), LangSmith (LangChain Labs observability), PromptLayer, Weights & Biases (W&B) — model/experiment tracking used as a workaround.
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