Boltzbit
Financials
Estimates*
USD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | <1m | <1m | <1m |
% growth | - | 80 % | - |
Date | Investors | Amount | Round |
---|---|---|---|
* | £1.6m | Seed | |
N/A | Support Program | ||
Total Funding | $2.1m |
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Recent News about Boltzbit
EditBoltzbit is a pioneering startup specializing in generative artificial intelligence (Gen AI) solutions. The company has developed the first dynamically structured Gen AI architecture, which optimizes large language models (LLMs) for both private and public use. This means Boltzbit's technology can efficiently handle complex data and generate machine learning (ML) solutions using simple natural language prompts. Essentially, businesses can input their data and receive tailored ML solutions without needing extensive coding knowledge.
Boltzbit serves a diverse range of clients across various industries, including those with limited technical expertise. The company operates in the rapidly growing AI and ML market, focusing on making advanced AI accessible to everyone. Its business model revolves around providing a low-code platform that allows users to generate code and automate business analysis through a fully transparent and private Gen AI platform. This platform is designed to validate and streamline business processes, making it easier for companies to adopt AI technologies.
Revenue for Boltzbit is generated through subscription fees for access to its platform, as well as potential consulting services to help businesses integrate and optimize their AI solutions. The company emphasizes fundamental research, drawing inspiration from early neural networks like Boltzmann machines, to drive innovation. Boltzbit's mission is to democratize AI, making it a tool that can be used by anyone, regardless of their technical background.
In summary, Boltzbit is at the forefront of making AI technology accessible and practical for businesses of all sizes, helping them to innovate and solve complex problems with ease.
Keywords: Generative AI, Machine Learning, Low-Code Platform, Business Automation, AI Accessibility, Data Optimization, Private AI, Public AI, Neural Networks, Innovation.