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dataset ai dataset ai product features specifications integrations launch app dataset ai product features specifications integrations launch app dataset ai inititating hang in there train smarter iterate faster train smarter iterate faster one loop for building better models and data one loop for building better models and data dataset ai lets you find the best model and craft the perfect dataset at speed dataset ai lets you find the best model and craft the perfect dataset at speed launch app launch app launch app see how it works see how it works see how it works h1 multi model support product you will fall behind if you stop improving dataset ai helps you do that in one workspace you will fall behind if you stop improving dataset ai helps you do that in one workspace test models refine prompts fix datasets and keep up with every new release all at one place launch app launch app launch app your unfair advantage the latest model just dropped configure it before your competitors do the latest model just dropped configure it before your competitors do most teams optimize a single vector find a better model or fix broken data progress stalls because they never feed each other datasetai is the loop that closes them outputs are discarded datasets go stale improvements feel random models tested in isolation good outputs lost to history datasets edited in spreadsheets fine tune forget repeat no memory between runs without dataset ai every run makes the next one better models compared in parallel outputs harvested into the vault datasets edited like code one click lora dpo versioned diffed reproducible with dataset ai launch app launch app launch app overview build your competive edge datasetai connects model testing data refinement and training into one continuous workflow instead of isolated steps every output feeds the next improvement 01 test and compare models run multiple ai models side by side with different prompts and settings see which performs best in terms of quality speed and cost make informed decisions faster instead of testing one model at a time 01 test and compare models run multiple ai models side by side with different prompts and settings see which performs best in terms of quality speed and cost make informed decisions faster instead of testing one model at a time 02 collect and refine your data save your best model outputs directly into a dataset with one click edit and improve your data using professional tools version every change so you can track what was updated and why 03 fine tune and deploy train your own model on your refined data compare it against other models to verify it performs better route traffic between versions and automatically capture new outputs for continuous improvement overview build your competive edge datasetai connects model testing data refinement and training into one continuous workflow instead of isolated steps every output feeds the next improvement 01 test and compare models run multiple ai models side by side with different prompts and settings see which performs best in terms of quality speed and cost make informed decisions faster instead of testing one model at a time 02 collect and refine your data save your best model outputs directly into a dataset with one click edit and improve your data using professional tools version every change so you can track what was updated and why 03 fine tune and deploy train your own model on your refined data compare it against other models to verify it performs better route traffic between versions and automatically capture new outputs for continuous improvement loop better models make better data better data makes better models one loop continuous improvement better models make better data better data makes better models one loop continuous improvement test your models the best results become training data you refine that data train a custom model with it your new model produces better results those results improve your data further train again the cycle repeats and improves with each iteration features stop building data from scratch 99 cpu mediocre results start refining and configuring 1 cpu 100x better results stop building data from scratch 99 cpu mediocre results start refining and configuring 1 cpu 100x better results start at any stage every path folds back into the same engine test test the best models in parallel sweep models prompts temperature top p side by side see winners emerge in a single pass instead of a week of one offs test test the best models in parallel sweep models prompts temperature top p side by side see winners emerge in a single pass instead of a week of one offs harvest turn outputs into better data every response is a candidate pick the good ones mark preference pairs and drop them straight into your dataset no csv shuffling harvest turn outputs into better data every response is a candidate pick the good ones mark preference pairs and drop them straight into your dataset no csv shuffling refine edit data like code regex multi cursor live previews typed schemas a dataset editor that treats your training set as source not a spreadsheet refine edit data like code regex multi cursor live previews typed schemas a dataset editor that treats your training set as source not a spreadsheet tune ship a model that learnt from the best lora full fine tune or dpo one click routing moves traffic the moment your new checkpoint beats the baseline tune ship a model that learnt from the best lora full fine tune or dpo one click routing moves traffic the moment your new checkpoint beats the baseline loop then do it again to stay ahead the better model generates better outputs which become better data which trains a better model the gains compound forever loop then do it again to stay ahead the better model generates better outputs which become better data which trains a better model the gains compound forever benefits make prompts configs and golden datasets work for you make prompts configs and golden datasets work for you four primitives composed they become the feedback loop you ve been building by hand model hunt run 100 model prompt parameter combinations in parallel rank by blended scoring latency quality cost model hunt run 100 model prompt parameter combinations in parallel rank by blended scoring latency quality cost model hunt run 100 model prompt parameter combinations in parallel rank by blended scoring latency quality cost game level editor regex multi cursor typed schemas live inference tests a dataset editor that respects your ide muscle memory game level editor regex multi cursor typed schemas live inference tests a dataset editor that respects your ide muscle memory game level editor regex multi cursor typed schemas live inference tests a dataset editor that respects your ide muscle memory one click fine tune lora full tunes dpo orpo pick a method pick a base press go auto routing promotes winners one click fine tune lora full tunes dpo orpo pick a method pick a base press go auto routing promotes winners one click fine tune lora full tunes dpo orpo pick a method pick a base press go auto routing promotes winners versioned data vault every dataset is a repo diff rows roll back a bad clean branch a synthetic run reproducible by design versioned data vault every dataset is a repo diff rows roll back a bad clean branch a synthetic run reproducible by design versioned data vault every dataset is a repo diff rows roll back a bad clean branch a synthetic run reproducible by design specifications we spent thousands of hours figuring out what actually works so you don t have to we spent thousands of hours figuring out what actually works so you don t have to datasetai connects model testing data refinement and training into one continuous workflow instead of isolated steps every output feeds the next improvement bulk model comparison test openai claude gemini deepseek and other models simultaneously compare performance across different prompts and parameters identify the best model prompt combination for your use case in minutes instead of days bulk model comparison test openai claude gemini deepseek and other models simultaneously compare performance across different prompts and parameters identify the best model prompt combination for your use case in minutes instead of days bulk model comparison test openai claude gemini deepseek and other models simultaneously compare performance across different prompts and parameters identify the best model prompt combination for your use case in minutes instead of days harvest and preserve outputs when a model produces a high quality response save it directly to your training dataset with a single click the prompt parameters and metadata are automatically included no information is lost or overlooked harvest and preserve outputs when a model produces a high quality response save it directly to your training dataset with a single click the prompt parameters and metadata are automatically included no information is lost or overlooked harvest and preserve outputs when a model produces a high quality response save it directly to your training dataset with a single click the prompt parameters and metadata are automatically included no information is lost or overlooked advanced data editing edit datasets with features like multi cursor editing regex patterns and change history clean and structure large datasets efficiently version control tracks every modification making it easy to understand and revert changes advanced data editing edit datasets with features like multi cursor editing regex patterns and change history clean and structure large datasets efficiently version control tracks every modification making it easy to understand and revert changes advanced data editing edit datasets with features like multi cursor editing regex patterns and change history clean and structure large datasets efficiently version control tracks every modification making it easy to understand and revert changes integrated fine tuning fine tune your own model directly within the platform monitor training progress and evaluate performance against baseline models in real time deploy only when your model demonstrably outperforms alternatives integrated fine tuning fine tune your own model directly within the platform monitor training progress and evaluate performance against baseline models in real time deploy only when your model demonstrably outperforms alternatives integrated fine tuning fine tune your own model directly within the platform monitor training progress and evaluate performance against baseline models in real time deploy only when your model demonstrably outperforms alternatives intelligent model routing direct requests to different models based on performance cost or task type test new models with controlled traffic splits before full deployment automatically capture outputs to feed back into the improvement cycle intelligent model routing direct requests to different models based on performance cost or task type test new models with controlled traffic splits before full deployment automatically capture outputs to feed back into the improvement cycle intelligent model routing direct requests to different models based on performance cost or task type test new models with controlled traffic splits before full deployment automatically capture outputs to feed back into the improvement cycle export and integration export your datasets in standard formats for use with other fine tuning platforms or tools bring your own api keys and integrate with openai anthropic google and other providers complete flexibility with no lock in export and integration export your datasets in standard formats for use with other fine tuning platforms or tools bring your own api keys and integrate with openai anthropic google and other providers complete flexibility with no lock in export and integration export your datasets in standard formats for use with other fine tuning platforms or tools bring your own api keys and integrate with openai anthropic google and other providers complete flexibility with no lock in integrations use the latest models before your competitors use the latest models before your competitors datasetai connects model testing data refinement and training into one continuous workflow instead of isolated steps every output feeds the next improvement launch app launch app launch app multi llm integrations test across multiple models multi llm integrations test across multiple models level up your llms with dataset ai datasetplayground lets you find the best model and craft the perfect dataset at speed launch app launch app launch app learn more learn more learn more dataset ai test models and iterate links links product product product product product product features features features features features features specifications specifications specifications specifications specifications specifications integrations integrations integrations integrations integrations integrations 2026 dataset ai rights reserved inc all taxes dataset ai dataset ai