Adept AI
E466275
Adept AI is an artificial intelligence research and product company focused on building AI agents that can use existing software tools to perform complex tasks for users.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Adept AI canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4746667 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adept AI Context triple: [David Luan, knownFor, Adept AI]
-
A.
Kurzweil Applied Intelligence
Kurzweil Applied Intelligence is a technology company known for pioneering speech recognition and artificial intelligence software applications.
-
B.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
-
C.
Robust.AI
Robust.AI is a robotics company focused on building practical, intelligent robot systems for real-world environments, co-founded by renowned roboticist Rodney Brooks.
-
D.
AI2
AI2 is a research institute founded by Paul Allen that advances artificial intelligence through open science, impactful AI systems, and large-scale scholarly resources.
-
E.
AlphaStar
AlphaStar is a DeepMind-created artificial intelligence system that achieved grandmaster-level performance in the real-time strategy game StarCraft II.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adept AI Target entity description: Adept AI is an artificial intelligence research and product company focused on building AI agents that can use existing software tools to perform complex tasks for users.
-
A.
Kurzweil Applied Intelligence
Kurzweil Applied Intelligence is a technology company known for pioneering speech recognition and artificial intelligence software applications.
-
B.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
-
C.
Robust.AI
Robust.AI is a robotics company focused on building practical, intelligent robot systems for real-world environments, co-founded by renowned roboticist Rodney Brooks.
-
D.
AI2
AI2 is a research institute founded by Paul Allen that advances artificial intelligence through open science, impactful AI systems, and large-scale scholarly resources.
-
E.
AlphaStar
AlphaStar is a DeepMind-created artificial intelligence system that achieved grandmaster-level performance in the real-time strategy game StarCraft II.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence company
ⓘ
startup company ⓘ technology company ⓘ |
| aimsTo |
automate knowledge work
ⓘ
enable AI to use software like a human ⓘ perform complex tasks for users ⓘ |
| backedBy | venture capital firms ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| develops |
AI agents that can use existing software tools
ⓘ
enterprise automation products ⓘ models that operate computers on behalf of users ⓘ |
| enables |
multi-step task execution across applications
ⓘ
natural language control of existing software ⓘ |
| focusesOn |
AI agents
ⓘ
enterprise AI solutions ⓘ foundation models ⓘ tool-using AI systems ⓘ |
| foundedBy |
Ashish Vaswani
NERFINISHED
ⓘ
David Luan NERFINISHED ⓘ Niki Parmar NERFINISHED ⓘ other former OpenAI and Google researchers ⓘ |
| foundedInYear | 2021 ⓘ |
| hasFounderRole |
Ashish Vaswani is co-founder of Adept AI
ⓘ
David Luan is co-founder and CEO of Adept AI NERFINISHED ⓘ Niki Parmar is co-founder of Adept AI NERFINISHED ⓘ |
| headquartersLocation | San Francisco, California, United States NERFINISHED ⓘ |
| industry |
artificial intelligence
ⓘ
machine learning ⓘ |
| mission | build general intelligence that enables humans and computers to work together creatively ⓘ |
| notableFor |
hiring researchers from OpenAI and Google Brain
ⓘ
research on tool-using foundation models ⓘ |
| operatesInSector |
automation and productivity tools
ⓘ
enterprise software ⓘ |
| productType |
AI agents for enterprises
ⓘ
automation for knowledge workers ⓘ |
| raisedVentureCapital | yes ⓘ |
| researchArea |
AI agents that can take actions in digital environments
ⓘ
alignment of tool-using AI systems ⓘ |
| specializesIn |
agentic AI systems
ⓘ
natural language interfaces to existing software ⓘ training models to use software tools ⓘ |
| targetCustomers |
enterprises
ⓘ
knowledge workers ⓘ |
| usesApproach |
large-scale transformer models
ⓘ
reinforcement learning from human feedback ⓘ training on human-computer interaction data ⓘ |
| website | https://www.adept.ai ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Adept AI Description of subject: Adept AI is an artificial intelligence research and product company focused on building AI agents that can use existing software tools to perform complex tasks for users.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.