DataOp (Data Optimisation) is focused on the evolution of data. The transition from data that is static and does not interpret, merely presents; generating more questions. We are looking to back companies that infer outcomes, consequences and present recommendations and answers. DataOp as a sister company of ComOP is also focused on doing more with less; operating within a global landscape marked by increasing scarce human resources. These shortages need to be filled by technology and the resources need to be able to operate more efficiently through utilization of smart and intuitive data rather than needing to manipulate it and interpret it. Our investments in this sector are across KYC/AML, financial and portfolio data and employee ARR (Attraction, Retention & Reward) systems. When we analyse a possible portfolio company we assess against simple criteria; - Will the company’s product eliminate or significantly reduce the risk of error through human involvement in the production of data - Will the company’s product generate a higher quality of data - Will the company’s product present inferences, recommendations and answers - Will the company’s product (immediately or in the future) be able to deploy machine learning to continually optimize the quality of the data - We do not back foundational ideas. There needs to be a nascent product and sight of recurring revenue. We believe data is at a critical point in its evolution and the ability for smaller players to emerge is essential. The market has less acquisition of start-ups by large tech as they struggle with costs and profitability. This is ultimately better as it permits a number of ‘ways of doing things’ to emerge. It creates optionality and eliminates a ‘sameness’ of options to the market. Generates increase competition and serves the market better. We are proud to be playing our part in this.
| Website | https://www.dataop.com |
| Employees | 4 (1 on RocketReach) |
| Founded | 2024 |
| Industry | Venture Capital and Private Equity Principals |
| Keywords | Data Governance, Data Optimization, Data Engineering, Data Analytics, Big Data Solutions, Data Interpretation, Data Insights, Data Science, Predictive Analytics, Business Intelligence, Data Visualization, Data Strategy, Data Management, Data Transformation, Data Warehousing, Data Mining, Machine Learning, Artificial Intelligence, Data Modeling, Statistical Analysis |
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Paul Cahill is the Global COO of DataOp.
1 people are employed at DataOp.