
Adept
An ML research and product lab building general intelligence by enabling humans and computers to work together creatively.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor investor investor investor investor investor | €0.0 | round |
investor investor investor investor investor | €0.0 | round | |
* | $350m Valuation: $1.0b | Series B | |
Total Funding | 000k |
USD | 2023 |
---|---|
Revenues | 0000 |
EBITDA | 0000 |
Profit | 0000 |
EV | 0000 |
EV / revenue | 00.0x |
EV / EBITDA | 00.0x |
R&D budget | 0000 |
Source: Dealroom estimates
Related Content
Adept AI Labs is a startup that is revolutionizing the way we use computers by integrating artificial intelligence (AI) into everyday software. The company's primary offering is an AI teammate that takes user's goals, expressed in plain language, and translates them into actions on the software they use daily. This AI assistant can perform a variety of tasks, from creating profit and loss columns for a financial quarter to finding a property in a specific location within a set budget.
The company operates in the AI and software market, serving a broad range of clients who use software in their daily operations. This includes businesses and individuals who are looking for more efficient ways to manage their tasks and data. The AI assistant can be used across various sectors, including finance, real estate, and retail, making it a versatile tool for many.
Adept AI Labs' business model is centered around providing this AI assistant as a service. The company generates revenue by charging clients for the use of their AI teammate. The pricing could be based on a subscription model or on a per-use basis, depending on the client's needs and usage.
In essence, Adept AI Labs is about making AI accessible and useful for everyone, with the user in control. The company believes in a collaborative approach where machines work together with people, enabling more informed decisions and freeing up time for more meaningful work.
Keywords: Artificial Intelligence, Software, Task Management, Data Management, User-Centered Design, Collaboration, Efficiency, Decision-Making, Subscription Model, Versatility.