The product
Build a specialized prediction model for your own work or the product you’re creating. Prepare the data, check the results, and use the version that fits your task.
Build your modelConnect Attio, Pylon, or Fireflies and describe your outcome. Tuned Predictions drafts a data preparation plan for review, helping turn existing records into examples for training.
Review the inputs and known answers, then keep separate examples for testing.
Explore integrationsTrain a specialized model and evaluate it on examples it hasn’t learned from. Inspect mistakes, available baseline comparisons, and results for each question. Each experiment keeps its own data and evaluation.
Compare the results before choosing a version. Predictions are estimates, and training does not guarantee better accuracy or future outcomes.
Ask your deployed model a question with text context, or use supported questions over fresh connected data. Call it through the API to add predictions to your app, or process records in a saved workflow.
Your project can stay for your own use. Publishing and monetization are optional future capabilities.
Try a sample predictionExplore a sample prediction
Your past examples
Notes + your category labels
A new research note
Participants were randomly assigned to two groups. Each group followed a different study procedure.
Ready to process this example.
Suggested category
Using your defined categoriesYour past examples
Historical opportunity records
A new opportunity
Budget approved. Two stakeholders attended the demo. Contract review is scheduled.
Ready to process this example.
Estimated chance of closing
Within the next 7 daysYour past examples
Incident reports + severity labels
A new incident
Requests are failing in one region. Retries succeed in another. The incident began 8 minutes ago.
Ready to process this example.
Highest-probability category
SEV-0 · SEV-1 · SEV-2 · SEV-3Illustrative tasks and sample outputs, not predictions from a live model. Training currently starts with a supported integration; contact us about other datasets.
Schedule refreshes and retraining using your saved setup. Each run creates a new version, with the data and results available to inspect.
Evaluate the candidate and choose when to deploy. Scheduled retraining does not automatically replace the model you’re using.
Initial training and deployment currently need setup support. The training workflow starts with a supported integration. Self-service local deployment and paid publishing are not available today.
Talk through your setup