CognitiveScale
Provider of enterprise Cognitive Cloud software, a new class of big data interpretation and machine learning systems.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor investor investor investor | €0.0 | round |
| investor | €0.0 | round | |
| investor investor investor investor investor investor investor | €0.0 | round | |
| investor investor investor investor investor | €0.0 | round | |
| investor | €0.0 | round | |
| N/A | €0.0 | round | |
* | N/A | Acquisition | |
| Total Funding | 000k | ||
| USD | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 6 % | - | - | (17 %) | - |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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CognitiveScale was established in 2013 by Manoj Saxena, a former general manager of IBM Watson, alongside Matt Sanchez, who previously served as the leader of IBM Watson Labs. The company's inception was driven by the founders' deep experience in the artificial intelligence sector, aiming to address the complexities of deploying and managing AI in enterprise environments.
The firm operates in the enterprise AI software market, providing a platform designed to help businesses develop, deploy, and manage AI-powered systems at scale. Its clientele consists of large enterprises, particularly in sectors like financial services, healthcare, and digital commerce. The business model is centered on a software-as-a-service (SaaS) subscription, where clients pay for access to its platform and tools.
CognitiveScale's core offering is its Cortex platform, an enterprise AI platform that aims to simplify the entire AI lifecycle. Key features include data activation, which prepares and enriches data for AI models, and AI model development and management. A significant aspect of the platform is its emphasis on responsible and trustworthy AI, incorporating capabilities for explainability, fairness, and robustness in AI models. This focus on transparent AI addresses a critical need for regulated industries that must comply with strict oversight and auditing requirements.
The company has achieved several milestones, including securing significant funding rounds from investors like Norwest Venture Partners, Intel Capital, and Microsoft's M12. These capital infusions have been pivotal in funding the continuous development of the Cortex platform and expanding the company's market reach. Keywords: enterprise AI, AI lifecycle management, responsible AI, trustworthy AI, MLOps, explainable AI, Cortex platform, financial services AI, healthcare AI, Manoj Saxena