TinyCommand provides a visual automation platform that combines adaptive forms, workflow automation, and AI agents on a single node-based canvas. The platform lets businesses build forms that check external systems like HubSpot mid-fill, route captured leads through 458 native integrations, and deploy AI agents that show their reasoning before taking action. It includes TinyTable for data storage and TinyScout for lead research and scoring.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional forms collect data in a static, one-way flow, forcing businesses to manually transfer and process leads after submission. This creates delays, requires separate tools for form building, workflow automation, and AI assistance, and makes it difficult to route leads intelligently based on real-time data.
Solution
TinyCommand unifies forms, workflows, and AI agents on a single visual canvas, enabling businesses to build adaptive forms that check external systems mid-fill and branch on the results. The platform includes a workflow engine with 60+ node types and 458 native integrations, allowing captured leads to route themselves through actions like Slack notifications, CRM updates, and enrichment. AI agents can read enriched records, run research tools like TinyScout, score leads, and act on them—with optional human sign-off before executing. Every run is visible live, with node-level input/output history for debugging and optimization.
Target Audience
Primary users are operations teams, marketing leads, and sales development representatives at B2B companies who need to automate lead capture, qualification, and routing without writing custom code.
Features
- Visual node canvas combining form questions, logic branches, integrations, and AI actions in one flow
- Mid-form CRM and HTTP endpoint checks that alter subsequent questions based on real-time data
- 60+ workflow node types and 458 native integrations including HubSpot, Slack, and TinyTable
- Live run monitoring with color-coded node status (blue running, green done, red error) and full input/output history
- Prebuilt AI agents with configurable identity, vector knowledge base, and guardrails; agents can run tools like TinyScout for lead research and scoring
- TinyTable for structured data storage and TinyScout for domain research and ICP fit scoring