CrewAI Automated Multi-Tier Startup Funding Verification Crew
Due diligence teams evaluating fast-paced startup investment rounds need cross-verification of press releases, corporate filings, and valuation cap tables. Build a CrewAI multi-agent crew for automated investment due diligence.
What you are building
Construct an investment due diligence agent team using CrewAI framework.
How work is evaluated
Evaluates due diligence extraction and anomaly detection accuracy.
Datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
verification_pass
Validates exact deal verification.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
verification_accuracy
Precision of claim verification • target: 1 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Learning goals
Define specialized CrewAI agents (FinancialAuditor, CapTableAnalyst, RegulatoryChecker)
Orchestrate hierarchical execution tasks with delegate tool access
Generate comprehensive due diligence investment memos
Resources
Funding announcement press releases cross-referenced with official filings.
Challenge setup
Evaluates due diligence extraction and anomaly detection accuracy.
Challenge input
JSON deal statement
CrewAI
Mandatory framework requirement
Evaluated output
JSON verified diligence report
- Validates exact deal verification.
- Precision of claim verification • target: 1 • range: 0-1
- Benchmark: DueDiligence-Bench
- Verification Accuracy target: 1
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
Shows the first task, up to three tools, and up to three evidence items.
View technical recipe
Configured tools
- CrewAI · Required
- crewAI · Optional
- Aim · Optional
Evaluation contract
- verification_pass · Weight 1
- verification_accuracy · Weight 1
Metrics
- verification_accuracy · Target 1
Benchmarks
- DueDiligence-Bench
- general
Reference cases
- 1 public reference case
Workflow tasks
- Task 1
Input: JSON deal statement
Output: JSON verified diligence report
Execution harness: Python
Evaluation tools
- CrewAI · Agent Framework
Recipe freeze marker
No recipe freeze time is recorded.