Related Products
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About
AutoScientist is a system that self-improves and automates the full research loop behind model training and alignment, making it possible for more teams to shape and refine the AI they depend on. Model training and reinforcement learning are among the most powerful ways to shape a model, but they are also among the hardest to get right outside a frontier lab because attempts can fail through catastrophic forgetting, overfitting on small or low-quality datasets, and conflicting training signals. AutoScientist co-optimizes data and model training recipes automatically, self-improving across both until quality converges on the user’s objective. Where Adaptive Data shapes the inputs, AutoScientist shapes the model, running the full research loop end-to-end so users walk away with models adapted to their goal. The loop runs itself: data and recipes are co-optimized in lockstep, iterating until the model converges on the behavior described.
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About
doteval is an AI-assisted evaluation workspace that simplifies the creation of high-signal evaluations, alignment of LLM judges, and definition of rewards for reinforcement learning, all within a single platform. It offers a Cursor-like experience to edit evaluations-as-code against a YAML schema, enabling users to version evaluations across checkpoints, replace manual effort with AI-generated diffs, and compare evaluation runs on tight execution loops to align them with proprietary data. doteval supports the specification of fine-grained rubrics and aligned graders, facilitating rapid iteration and high-quality evaluation datasets. Users can confidently determine model upgrades or prompt improvements and export specifications for reinforcement learning training. It is designed to accelerate the evaluation and reward creation process by 10 to 100 times, making it a valuable tool for frontier AI teams benchmarking complex model tasks.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI builders and enterprise teams that need to train, adapt, and own models without manually managing complex research loops
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Audience
AI researchers and engineers in search of a tool to evaluate and fine-tune large language models with precision and efficiency
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Support
Phone Support
Not Supported
24/7 Live Support
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Online
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Support
Phone Support
Not Supported
24/7 Live Support
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Online
Supported
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
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Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
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Live Online
Supported
In Person
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAutoScientist
United States
www.adaptionlabs.ai/blog/autoscientist
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Company Informationdoteval
www.doteval.com
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Integrations
YAML
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