
Openlytics
A Visual Data Platform.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
$600k | Seed | ||
Total Funding | 000k |
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
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Initially established in 2021 under the name Openlytics, the company has since rebranded to Copilot.js. The venture was co-founded by Pedro Pinto, who also serves as the Chief Technology Officer. Pinto's entrepreneurial journey includes the co-founding of Lytmus Inc. in 2013, a technical talent assessment company that was later acquired by Checkr in 2018. His professional background is further strengthened by research experience at the Massachusetts Institute of Technology (MIT) and EPFL, one of the Swiss Federal Institutes of Technology. The company secured $100,000 in a pre-seed investment round in March 2021. A subsequent early-stage VC round in August 2023 brought the total funding raised to $1.2 million.
Copilot.js provides a frontend software development kit that enables developers to integrate an AI-powered assistant directly into their applications. This toolkit is designed for developers working with React and JavaScript, offering them the tools to build and customize AI copilots for their end-users. The business operates in the Software-as-a-Service (SaaS), Artificial Intelligence, and Big Data markets. Its business model is structured around a free self-serve tier and paid enterprise features, generating revenue through a flat price per character on its fully managed Copilot service.
The core product is a frontend toolkit that simplifies the creation of in-product AI assistants. It includes a ready-to-use chat component that can be added to an application with minimal code and customized to match the host app's branding. For developers seeking more control, a "headless mode" is available, allowing them to build a custom user interface while leveraging the toolkit's backend functionality. The platform is compatible with AI models from major providers like OpenAI, Google, and Anthropic, giving developers the flexibility to switch between them. A key feature is the AI action generator, which translates user prompts into specific actions within the application, and an isolated execution sandbox ensures these actions are dispatched safely.
Keywords: AI assistant toolkit, frontend development, React, JavaScript, in-product AI, AI copilot, Pedro Pinto, developer tools, SaaS, AI action generator, custom AI chat, Lytmus, chatbot component, AI integration, application development, user engagement, product adoption, software development kit, AI experience, natural language processing