Time-series ML kernel for continuous detection on <$0.50 MCUs

Time-series ML kernel for continuous detection on <$0.50 MCUs targets a $3.0B = 15B ultra-cheap MCUs × $0.20 average lifetime software license per device total addressable market with medium saturation and a year-over-year growth rate of ~30% YoY (edge AI / tinyML market CAGR estimates from industry reports such as MarketsandMarkets and industry analyst summaries).

Key trends driving demand: TinyML — model quantization and pruning improvements make sub-kilobyte inference feasible, enabling software-first upgrades for low-cost devices.; On-device privacy — regulators and consumer expectations push inferencing to endpoints, increasing demand for local intelligence on cheap hardware.; Cost‑sensitivity in hardware — supply-chain and margin pressures encourage OEMs to avoid higher-cost MCUs and seek software solutions to add features..