Ranked by community votes
· Updated in real-time
Rankings factor in vote confidence: an entity with more votes may outrank one with a higher score but fewer votes.
Improved performance and capabilities for AI tasks
AI-powered code generation system for competitive programming
Ai2, founded by Paul Allen and led by Ali Farhadi, conducts high-impact research and engineering to tackle key problems in artificial intelligence
Generates artistic paintings from text prompts using AI

AI-generated artwork using text prompts
Know what to write from real search data, then let AI research, draft, assess, and polish the content inside your own workflow
The all-in-one AI research workspace
Genie 4 is the Genie 4 World Model for real-time interactive 3D
Automated regulatory monitoring and industry tracking from primary sources you choose
Produce defensible qualitative findings with traceable evidence

Have a photo? Run a Surfface face search to see where it appears online, uncover possible identities, and find public profiles and records. Search across 10B+ indexed images, 22M+ U.S. mugshots and criminal records and 700K+ U.S. sex offender faces. Get best-in-class social media discovery powered by multiple face search tools and methods in one place. OSINT.
Interface is a multimodal AI research lab. We make the world machine-usable. Our latest work is OneStop — a unified market for AI.
We're automating research itself, applied to markets: the hardest test there is for AGI
An applied AI research lab building dependable, domain-grounded agents

DeepGrove is an independent AI research lab building efficient language models that run anywhere
Autonomous AI research
Rankings for Artificial Intelligence Research are based on community votes. No entity has received enough votes yet (minimum 2) to be officially ranked. Check back as more ratings are submitted.
Peakd ranks artificial intelligence research using trust-weighted community votes. Each user rates on a 1-10 scale, and votes are weighted by the user's trust score (based on account age, consistency, and verification). Rankings cannot be bought or manipulated by companies. An entity needs at least 2 votes to receive an official rank position.
Look at the overall community score, read discussions, and compare specific aspects like value, performance, and ease of use. You can also use the head-to-head comparison feature to see two options side by side.
Check the rankings above to see the most popular artificial intelligence research rated by the community. Not enough entities have received sufficient votes to compile a definitive top 3 yet.
Something missing from this list?
Submit it →Yes. Peakd uses trust-weighted voting to prevent manipulation. Rankings are based purely on community opinion — companies cannot pay for a higher position. All methodology is transparent.
When scores are tied, the one with more community votes ranks higher (more votes means a more reliable score). If votes are also equal, the entity that has been on the platform longer takes priority.