Relational
World’s fastest, most scalable, expressive, relational knowledge graph management system combining learning and reasoning.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor | €0.0 | round | |
* | $75.0m | Series B | |
| Total Funding | 000k | ||
| USD | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 10 % | 97 % | 139 % | 32 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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RelationalAI is a cloud-native startup that leverages artificial intelligence to enhance data analysis and interpretation. The company operates in the data analytics market, serving clients across various sectors such as e-commerce, financial services, and telecommunications. Its primary offering is an AI coprocessor that enhances semantic models and performs sophisticated analysis like graph analytics to understand latent patterns in data.
RelationalAI's business model is centered around providing a fully managed cloud service that seamlessly extends data clouds. This enables clients to build intelligent applications with semantic layers on a data-centric foundation. Unlike other solutions that offer limited capabilities and operate outside the data cloud, RelationalAI's solution is always in sync with the client's data. This allows the application of multiple AI techniques to solve a problem, resulting in unmatched insights.
The company's services are used in various applications, including fraud detection, supply chain optimization, and contextual recommendations. For instance, in fraud detection, the company's technology can identify sophisticated fraudulent activity by surfacing meaningful patterns and predictive elements in data. In supply chain optimization, it helps businesses adapt to dynamic environments and calculate the best course of action to reduce costs and maximize resource utilization. In contextual recommendations, it goes beyond personalization with behavior-based recommendations to improve customer experience and increase basket value.
RelationalAI generates revenue by offering its AI-enhanced data analysis and interpretation services to businesses. The company's value proposition is its ability to provide enriched semantic models that power better decisions, drive efficiencies, and savings.
Keywords: Artificial Intelligence, Data Analysis, Cloud-Native, Semantic Models, Fraud Detection, Supply Chain Optimization, Contextual Recommendations, Data-Centric Foundation, Fully Managed Cloud Service, E-commerce.