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AI Built for Chemistry Patents

Draft stronger chemistry patents with AI designed for complex molecules and data

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Built for Real Chemistry Practice


DeepIP removes the mechanical work that slows experts down, so chemists and patent attorneys can focus on claim scope, fallback strategy, and defensibility.

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Why Chemistry Patent Teams Choose DeepIP

Chemistry Patents With Broader Protection & Less Risk

DeepIP helps chemists and patent attorneys turn compounds, structures, and experimental data into prosecution-ready chemistry drafts—while preserving chemical validity, internal consistency, and support from examples to claim scope.

Markush Drafting, Grounded in Chemistry

DeepIP suggests an initial Markush formula or genus with substituents, then lets you refine it visually or in chat to build defensible broad-to-narrow fallback formulas. Exemplified compounds stay in view as scope evolves, ensuring coverage remains chemically coherent and grounded throughout the draft.

Preserve Chemical Meaning End to End

Subscripts, superscripts, stereochemistry, symbols, ring systems, and structural notation are preserved across ingestion, drafting, and export. DeepIP is built to protect chemical meaning, not just document formatting.

Turn Experimental Data Into Patent-Ready Examples

Raw chemist notes, tables, and experimental results are hard to convert cleanly into patent examples. DeepIP helps structure that material into drafting-ready experimental sections while preserving values, units, ranges, and technical detail.

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Trusted by Global IP Leaders

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Built for the way patent professionals actually work

Secure & Confidential

Work in Word, your IPMS, or the browser. No new workflow to learn — just faster output and fewer errors.

Complete & Reliable

DeepIP leverage better data to delivers reliable insights across the entire patent workflow. 

Embedded where your work

Embedded in your daily tools — Word, IPMS, and Web — delivering +20% in adoption & +40% in usage vs. a web platform.

Collaborative by Design

Work effortlessly across teams and cases — with shared context, consistency, and control.

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