Explore our Enterprise offerings for accelerated AGI

We stress test your model to identify where it is hallucinating or giving bad quality responses. Schedule a call with us and give us the domains, modes and languages in which your model is underperforming.

Our experts complete case studies through competitions for medical cases where 70% of the top LLMs fail. Use this premium quality precise data to post train your models. For eg if your model is bad at skin conditions diagnosis, you can use relevant case stduies from dermatology experts.

We do not believe in cookie cutter one size fits all, we will enable you to customise our data in the format you want and help you with any additional annotation you may need. We will also help you augment a case study with more information and prepare reinforcement learning environments. All this will be through competitions to motivate experts.

You can now use our processed data to finetune your model directly. You can finetune at one go or through RL exercises with Human in the loop evaluations provided by our experts. We will help with intermediate evaluations, annotations and additional data needs.

Once you have a checkpoint you are happy with and have deployed in prod, we will monitor your model performance for you for the time period you want from a few weeks to months. We will validate how the model is doing in the areas we identified and if it is failing niche questions or still hallucinating at times. We will give you a detailed report either certifying that the model has stellar performance or suggesting improvements in case the model still has some cases in which it is failing.

We stress test your model to identify where it is hallucinating or giving bad quality responses. Schedule a call with us and give us the domains, modes and languages you suspect your model is underperforming. We will come up with a customised plan to meet your data needs depending on the domain and the mode of data that you want.

Once we have identified domains or modalities where your model fails to generate high quality responses, we will curate custom case study competitions for our domain experts. Each case study will be a competition where experts compete for ranks on a leaderboard, we will select the best suited expert to complete the case study.

Once we have competitions posted on our platform, experts can apply to the postings. Each application is vetted and a handful of the best people suited for the specific task are chosen to participate in the contest. Once an assignee finishes their task, it is doubly vetted by an algo for completeness and data plagiarism followed by an human expert who scores it and approves it or suggests changes. After a few reiterations, the data is approved and passed along for further processing to be shared as a dataset.

You can now use our processed data to finetune your model directly. You can finetune at one go or through RL exercises with Human in the loop evaluations provided by our experts. We will help with intermediate evaluations, annotations and additional data needs.

Once you have a checkpoint you are happy with and have deployed in prod, we will monitor your model performance for you for the time period you want from a few weeks to months. We will validate how the model is doing in the areas we identified and if it is failing niche questions or still hallucinating at times. We will give you a detailed report either certifying that the model has stellar performance or suggesting improvements in case the model still has some cases in which it is failing.