DropForm is the ingestion layer for AI-native systems.
It transforms unstructured user input - form submissions, contact messages, onboarding flows or any external data - into structured, intent-aware context that agents and automated workflows can reliably act on.
Every submission is processed in real time and enriched with a semantic summary, detected intent, priority, sentiment and consistent machine-readable fields. The result is a clean, predictable input stream exposed through a simple API.
This gives your agents what they actually need to operate:
• clear context instead of raw text
• structured data instead of custom parsers
• a stable interface between humans and automated systems
Because DropForm is backend-first, it fits directly into modern composable stacks. The enriched data can be consumed by LLM workflows, automation platforms, internal tools or multi-agent systems without additional transformation layers.
Instead of rebuilding the same ingestion and classification pipeline for every project, you get a dedicated input layer designed for AI-driven architectures.
DropForm sits between user interaction and machine execution - turning real-world input into structured, actionable context for reasoning, routing and autonomous workflows.
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