Aster

Automate machine learning and scientific discovery using fleets of autonomous research agents

Pricing model

Demo

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You can use Aster to run automated technical and scientific experiments using autonomous research agents. The system is designed to compress research timelines by executing open-ended experimentation at massive scale, reaching millions of tokens per second across thousands of agents. It handles tasks ranging from mechanistic interpretability research to algorithmic speedruns and biological benchmarks like ProteinGym. By delegating iterative hypothesis testing, model compilation, and benchmark evaluations to autonomous workflows, researchers can accelerate novel discoveries in artificial intelligence, biology, and computational sciences without manual trial and error.

What Aster does

Run automated machine learning benchmark evaluationsExecute multi-agent exploratory research experimentsAnalyze transformer internals with automated interpretability testsCompile neural network architectures into logic gatesEvaluate candidate protein sequences against benchmark datasetsMeasure training convergence speeds across model variantsGenerate and validate experimental research hypothesesScales experimentation across thousands of autonomous agents simultaneouslyProcesses millions of research tokens per second during live trialsAutomates hypothesis generation and evaluation for model interpretabilityBenchmarks automated code performance against the NanoGPT speedrunEvaluates biological data and fitness mutations using ProteinGymCompiles language models directly into discrete logic gatesExecutes end-to-end open-ended research workflows without manual code changes