Boltzbit vs FastLabel株式会社
Boltzbit
Boltzbit builds custom LLMs to fit your needs — customised models, customised solutions, owned privately
12 employees · est. 2020 · London, United Kingdom
Side-by-Side Comparison
| Metric | Boltzbit | FastLabel株式会社 |
|---|---|---|
| Founded | ||
| Founded | 2020 | 2020 |
| Headquarters | ||
| Headquarters | London, United Kingdom | Not tracked yet |
| Employees | ||
| Employees | 12 | 36 |
| Industry | ||
| Industry | AI, Information Technology | AI, Information Technology |
| Funding Stage | ||
| Funding Stage | Seed | Series B |
| Total Funding | ||
| Total Funding | $1.60M | $1.61B |
| Funding Rounds | ||
| Funding Rounds | 1 | 3 |
| Services | ||
| Services | Custom LLM solutions, Agentic software development, Customized APIs, Enterprise solutions, Data extraction and analytics, GenAI solutions | Not tracked yet |
| Target Customers | ||
| Target Customers | SMEs, Developers, Enterprises, Financial institutions | Not tracked yet |
| Taxonomy | ||
| Taxonomy | Generative AICustom LLMsFinancial Industry SolutionsNeural Network FrameworksBusiness SuccessGenAI +1 | AI InfrastructureAI DevelopmentAIPaaSJapanTechnologyInnovation +5 |
| Website | ||
| Website | boltzbit.com | fastlabel.ai |
About Boltzbit
Boltzbit, a United Kingdom-based startup founded in 2020, specializes in providing customised LLMs (Large Language Models) tailored for the financial industry. With a slogan of "Boltzbit builds custom LLMs to fit your needs — customised models, customised solutions, owned privately," the company emp...
About FastLabel株式会社
FastLabel株式会社, aiming to create an AI infrastructure and propel Japan back to "world level", is operating in a market scale exceeding 100 trillion yen. As "Software Ate The World, Now AI Is Eating Software," it's anticipated that AI technology will be incorporated across all industries in the ne...
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Compiled from the BounceWatch company index. We last looked at Boltzbit on 14 Apr 2025, and FastLabel株式会社 on 12 Sep 2024. Where a field is blank here, it means we have not recorded it — not that the answer is zero. How we source and date this.