Swimm
Helps teams sync their knowledge and their codebase with smart docs.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor | €0.0 | round |
| N/A | €0.0 | round | |
| investor investor investor investor | €0.0 | round | |
| investor investor investor investor | €0.0 | round | |
$27.6m | Series A | ||
| Total Funding | 000k | ||
| USD | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 146 % | 187 % | 5 % |
| 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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Swimm.io is an innovative startup that operates in the software development market, providing an AI-powered coding assistant to developers. The platform is designed to help developers navigate through complex codebases and fill in any gaps in documentation. This is achieved by allowing developers to ask questions directly within their Integrated Development Environment (IDE), eliminating the need for unnecessary meetings or endless thread scrolling.
Swimm.io's AI assistant provides accurate and relevant answers immediately, combining internal knowledge with codebase analysis to provide context-specific responses. This not only aids in understanding the code but also prompts developers to fill in any knowledge gaps, thereby enhancing the overall code documentation.
The platform also features an AI writing assistant that helps developers create new documents, rewrite existing ones, or summarize information. An auto-sync feature ensures that all documentation remains up-to-date, with a patented algorithm that verifies and updates documents during pull requests.
Swimm.io's business model is likely based on a subscription or licensing fee, providing its services to developers and companies in the tech industry. The platform is particularly beneficial for onboarding new developers or transitioning existing ones to new projects, as it reduces the time typically spent by senior engineers answering questions.
In addition, Swimm.io offers AI-based recommendations for document discovery rules, allowing companies to proactively share best practices with their developers. Code knowledge analytics further enhance the platform's value by providing insights into the codebase.
In conclusion, Swimm.io is a promising startup that leverages AI to streamline and enhance the coding and documentation process for developers, potentially leading to increased productivity and efficiency.
Keywords: AI-powered coding assistant, software development, Integrated Development Environment (IDE), codebase analysis, documentation, auto-sync, onboarding, document discovery rules, code knowledge analytics, productivity.