Remote sketching pain — real-time AI-assisted collaborative whiteboard

Distributed product, design and engineering teams still struggle to sketch and iterate together because current whiteboarding tools either feel laggy, misinterpret freehand input, or force asynchronous handoffs that slow decision-making. The pain is widespread across product/UX teams, engineering architects and educators — the kinds of customers that make up the roughly 100M teams driving a $15.0B collaboration/whiteboarding market at about $150/year per team. You could build a browser-native collaborative whiteboard that delivers pen-level responsiveness (<20ms round-trip using WebRTC/WebAssembly), embedded multimodal AI that converts sketches into structured diagrams, wireframes and exportable code, plus an SDK for low-friction embedding and enterprise access controls. Priorities would be live AI assistance (auto-cleanup, alignment, suggestions), robust versioning and optional on-prem inference for privacy; the main technical risks are maintaining consistent low latency across varied networks and controlling the cost and complexity of real-time ML inference. This market is attractive now because hybrid/remote work has increased the frequency and importance of both synchronous and asynchronous whiteboarding, while recent advances in browser tech and multimodal AI materially lower the engineering bar to a differentiated product. To stand out against medium-level competition (established players like Miro, FigJam and Microsoft Whiteboard), you must deliver a noticeably superior real-time feel and AI accuracy, integrate tightly into existing workflows, and be candid about switching costs, ML operating expenses and privacy/regulatory trade-offs.