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Research Tech companies

12 companies

12 companies
Digital Science logoDS

Digital Science

Digital Science is a technology company that develops AI-powered solutions to transform how research is conducted, discovered, and evaluated.

TR

Toyota Research Institute

The Toyota Research Institute is a research organization focused on mobility innovation, conducting work in robotics, automated driving, AI, and sustainable ene…

2 Jobs
Elicit logoEL

Elicit

Elicit is a public benefit corporation that develops an AI-powered research platform used by over 5 million researchers, focusing on scalable ML systems and ver…

NM

N-Power Medicine

N-Power Medicine develops an AI-powered clinical research system for community oncology to increase trial participation and speed up drug development.

Great Question logoGQ

Great Question

Great Question is an AI-powered UX research platform that unifies recruitment, scheduling, interviews, analysis, and sharing for over 300 customer teams.

Basis Research Institute logoBR

Basis Research Institute

This company hasn't shared a description yet.

1 Job
Valency logoVA

Valency

Valency builds infrastructure enabling AI reasoning systems to access scientific records, serving researchers at institutions including UC Berkeley, Harvard, an…

Pluralis Research logoPR

Pluralis Research

Pluralis Research develops Protocol Learning, a decentralized method for collaboratively training large AI models across multiple participants without any singl…

Outset logoOU

Outset

Outset provides an AI-moderated research platform that facilitates scalable qualitative interviews with automated moderation and insight generation.

Advarra logoAD

Advarra

Advarra provides technology, including AI-powered analytics and clinical trial management systems, and ethical review services as the leading independent Instit…

Elorian logoEL

Elorian

Elorian is an AI research lab developing frontier multimodal foundation models focused on visual and spatial reasoning.

FAR.AI logoFA

FAR.AI

FAR.AI is a research organization focused on AI safety through work in model evaluation, interpretability, robustness, and value alignment.