"The Deckmatch API has transformed our deal flow management. We've seen a significant improvement in both the quality and comprehensiveness of data in our pipeline, alongside a substantial decrease in manual data entry."
Giant Ventures faced two interconnected challenges: ensuring that every prospective deal seen by the team was captured in the CRM, and maintaining high-quality data within each deal record. Like most VC firms, the original process was largely manual - investment professionals manually entered deal information themselves to track each opportunity through its lifecycle. This manual entry was time-consuming and created a friction point that led to imperfect CRM coverage, with some low-priority deals never making it into the system. This limited the completeness of the data available for tracking and historical analysis.
To address these challenges, Giant Ventures’ data team built a custom pipeline that automated the ingestion and enrichment of inbound deal flow. The system was designed to capture pitch decks and website URLs directly from emails forwarded by investors. These assets - whether attached files or embedded links - were programmatically sent to DeckMatch’s API, which returned structured-enriched data about each deal. The pipeline then logged this information into the deal flow tracker within the CRM, ensuring every opportunity was captured with complete and standardised information.
This enhanced data quality has allowed us to index past deal flow based on problem and solution, making historical searches possible. The combined benefits of reduced data entry, higher data quality, and the ability to search historical data empower our team to operate more efficiently." Ben Urwin - Senior Data Engineer
Since launching this pipeline less than a year ago, Giant Ventures has processed and enriched over 9,000 deals using the Deckmatch API.
This pipeline has not only streamlined data entry and improved coverage allowing for more complete analysis of deal flow but also introduced a new layer of intelligence to the firm’s deal tracking. Each deal could now be indexed by core features such as the company’s problem and solution statement allowing for the generation of reports detailing similar past investment opportunities, their outcomes, and associated data. As the dataset grows, these reports become richer, allowing every deal assessment to tap the organisation’s collective experience, speed up decision-making, and eliminate duplicated research.