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Challenge

Patent Prior Art Analysis Team for Single-Cell Tech with CrewAI & Bedrock

Biotech patent litigation in single-cell sequencing requires detailed prior art auditing across genomic patent databases. Developers will orchestrate a CrewAI multi-agent team on Amazon Bedrock to analyze patent claims against genomic assay techniques and generate automated infringement risk reports with structured claims matrices.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Orchestrate a CrewAI team using Amazon Bedrock models to analyze genomic patent claims and evaluate infringement risks.

Delivery guide

How work is evaluated

Evaluation

Evaluates accuracy of claim matching, identification of infringing steps, and CrewAI task execution completion.

Datasets

Shared data for this challenge

Review public datasets and any private uploads tied to your build.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

high_risk_flag_check

Verifies that overlapping claims are correctly flagged as High risk.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

clause_extraction_precision

Precision of extracted patent claim overlaps. • target: 0.88 • range: 0-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Configure CrewAI agent roles: Patent Researcher, Claims Analyst, and Bioinformatician.

  • Connect CrewAI to Amazon Bedrock Claude 3.5 Sonnet foundation models.

  • Parse patent claim text and single-cell sequencing workflow documents.

  • Construct a dynamic patent claim mapping matrix highlighting infringement risks.

Resources and assets

Reference links and supporting material

Dataset notes

Annotated biological patent claims and associated single-cell protocol documentation.

How this agent runs

Evaluates accuracy of claim matching, identification of infringing steps, and CrewAI task execution completion.

Challenge input

JSON containing target patent claim text and protocol workflow description.

CrewAI

Enables multi-role autonomous agent teams for legal-technical analysis.

Amazon Bedrock

Provides enterprise-grade hosting for Claude models on AWS.

Evaluated output

JSON containing risk level, overlapping claim clauses, and legal analysis summary.

Checks for
  • Verifies that overlapping claims are correctly flagged as High risk.
  • Precision of extracted patent claim overlaps. • target: 0.88 • range: 0-1
Proof of success
  • Benchmark: Legal AI Patent Analysis Benchmark
  • Clause Extraction Precision target: 0.88
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox (unavailable on Versalist)
View technical recipe

Configured tools

Action Space
  • CrewAI · Required
  • crewAI · Optional
  • Amazon Bedrock · Optional

Evaluation contract

  • high_risk_flag_check · Weight 1
  • clause_extraction_precision · Weight 1

Recipe state

This is a preview. The configuration can change before the evaluation recipe is locked.

Frequently Asked Questions about Patent Prior Art Analysis Team for Single-Cell Tech with CrewAI & Bedrock