mary, 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.

21:T5e6,

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 back

DropForm

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