
Howso
Developing transformative technology that keeps the humanity in AI across the multiple industries.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor investor investor | €0.0 | round |
N/A | €0.0 | round | |
investor investor | €0.0 | round | |
investor | €0.0 | round | |
N/A | €0.0 | round | |
* | $25.0m | Series A | |
Total Funding | 000k |
USD | 2019 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | - | - | 21 % |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Howso, formerly known as Diveplane, provides an artificial intelligence platform that specializes in understandable AI. The company's core product, the Howso Engine, is designed for data scientists, machine learning engineers, and developers, enabling them to build AI applications with transparency and explainability, a counter-approach to traditional 'black box' systems.
The platform offers tools for data preparation and analysis, including a synthetic data generator named Synthesizer. This tool allows organizations to create statistically representative, privacy-preserving synthetic data, which can be used to train AI models without exposing sensitive information. Howso's technology is built on principles from statistics, physics, and game theory to ensure that the insights and decisions generated by the AI are auditable and easily understood by human operators.
The company targets enterprise clients, providing them with the capability to make data-driven decisions in real-time. By integrating with established data platforms like IBM's watsonx, Howso extends its reach to a broader corporate customer base. The business model is centered on providing its AI platform to businesses, likely through licensing or subscription fees, helping them to deploy AI solutions with greater confidence and control.
Keywords: understandable AI, synthetic data, data-centric AI, explainable AI, enterprise AI, data science platform, machine learning, data analysis, real-time insights, AI development