AfterQuery

AfterQuery
A research lab curating high-quality, human-generated data for AI foundational models.
About
What does AfterQuery do?
AfterQuery is an applied research lab that curates data solutions for frontier foundation model development. They capture expert thinking and structure it into training data, including supervised fine-tuning datasets, reinforcement learning rubrics, agent environments, and computer use trajectories. AfterQuery serves AI researchers and enterprises looking to build models that can reason and solve problems like real-world experts.
What is AfterQuery's revenue?
StartupHub estimates AfterQuery's annual revenue at $35.7M (range $18.7M to $121.5M, 63% confidence), based on comparable companies in the sector.
What is AfterQuery's valuation?
StartupHub estimates AfterQuery's effective valuation at $259.9M (range $181.9M to $337.9M, 40% confidence), based on comparable companies in the sector.
How much funding has AfterQuery raised?
AfterQuery has raised a total of $31M in funding. The most recent round on record is Series A.
Where is AfterQuery headquartered?
AfterQuery is headquartered in San Francisco, United States.
When was AfterQuery founded?
AfterQuery was founded in 2023.
What industry does AfterQuery operate in?
AfterQuery operates in Foundation Model, Synthetic Data Generation, Data Curation, AI Research, Machine Learning, Generative AI.
How many employees does AfterQuery have?
AfterQuery has approximately 136 people on record.
AfterQuery provides high-quality, human-generated data for AI foundational models, while Databricks, through MosaicML, offers a generative AI platform for enterprises to build, train, and customize their own AI models, both competing for th
AfterQuery curates data solutions for frontier foundation model development, and Alteryx provides a platform for unified analytics, data science, and process automation, both aiming to provide structured data and insights for businesses.
AfterQuery focuses on curating expert thinking into training data for AI models, while ServiceNow offers an AI platform to streamline enterprise workflows, both addressing the need for improved AI capabilities within large organizations.
Anthropic is a leading AI lab that would benefit from AfterQuery's specialized, human-generated datasets and reinforcement learning environments to train and evaluate their frontier AI models, as AfterQuery claims to power every leading AI
Google DeepMind, a prominent AI research organization, could utilize AfterQuery's curated data solutions to enhance the reasoning and problem-solving capabilities of their advanced AI models.
OpenAI, a key player in AI development, would be an ideal client for AfterQuery's high-quality training data and evaluation environments, which are crucial for advancing frontier AI models.
Meta Superintelligence Labs, focused on cutting-edge AI research, would find AfterQuery's expert-generated datasets valuable for training models that require nuanced understanding and real-world professional expertise.
Microsoft AI, developing and deploying AI across various products, could leverage AfterQuery's specialized datasets to improve the performance and reasoning abilities of their enterprise-level AI applications.
Citadel Securities, a global financial institution, could use AfterQuery's expertise in capturing professional thinking to create training data for AI models that can assist with complex financial reasoning and decision-making.
Buyer fit inferred by StartupHub from what AfterQuery sells and public signals about each company. Only rows badged "already a customer" are confirmed relationships.
Databricks could acquire AfterQuery to integrate its high-quality, human-generated training data directly into its generative AI platform, offering a more comprehensive solution for enterprises building and customizing AI models.
Google could acquire AfterQuery to enhance its AI research and product development with AfterQuery's specialized datasets and reinforcement learning environments, particularly for training models that require deep domain expertise.
Precedent: Acquired DeepMind, 2014
Microsoft could acquire AfterQuery to strengthen its offerings for enterprise AI and its own AI research initiatives by incorporating AfterQuery's expert-curated training data and evaluation tools.
Precedent: Acquired Nuance Communications, 2022
Salesforce could acquire AfterQuery to integrate advanced, human-generated training data into its AI platforms, improving the reasoning and problem-solving capabilities of AI tools used in customer relationship management and other enterpri
Precedent: Acquired Tableau, 2019
Strategic fit inferred by StartupHub from each buyer's own acquisition history. No deal, approach or discussion is implied.
Texgen is an AI-powered platform for generating and managing synthetic data for AI model training.
Find customer experience problems before your customers do with synthetic customers and real browser evidence.
AI-driven platform for anonymizing and synthesizing sensitive healthcare data while preserving utility.
AI-powered API for generating realistic synthetic data for training machine learning models.
AI-powered API for generating and managing synthetic data for machine learning.
Aiharddata provides a platform for generating synthetic data for AI model training, focusing on realism and diversity.
AI-powered API for generating and managing synthetic data for testing and development.
Kandinskydata provides a platform for generating synthetic data for AI model training and testing.
An entrant is a company tagged Synthetic Data Generation whose domain was first registered in the window, counted from registry records in the StartupHub directory. Registry detection runs two to three weeks behind registration, so recent weeks are a floor.
No comments yet. Be the first to share your take.
