Your Data.
Your Models.
Your Superpower.
The Large Language Models (LLMs) and computer vision dev platform to build and deploy models without coding in hours.
Focus on solving bigger problems. Leave AI complexity to us.
Use AI to make data-driven decisions or automate things. Reduce development time and costs compared to the traditional way of building AI solutions up to 90%.
One platform for the whole AI workflow
We are simplifying the whole AI development workflow collect data, annotate, train, test and deploy LLM and computer vision models efficiently on any platform.
Dataset
Annotate
Workflow
Model
Test
Deploy
Collect & Annotate
Upload or connect your data sources to the platform. Annotate your data in a simple and intuitive Annotation Studio.
Data Quality Inspection
Get a quick overview of your data quality, distribution and fix the errors to ensure your model is trained on the right data.
AI Annotation Assistant
Speed up annotation process up to x50 using our AI Assistants that will help you annotate your data faster.
Data Processing
Create data processing workflows to augment or process your data.
Training & Evaluation
Create different model training pipelines and evaluate the models on real data.
AI Apps
Create AI App workflows using LLM or Computer Vision models as engine.
Train
Train your models with a single click on hardware you select. Get model training insights and where to improve the model.
Evaluate & Test
Evaluate your models and test them with additional data or check their performances using different optimizations or hardware.
AutoML
Enter your deployment and model KPIs, we handle the rest by selecting the best model to accomodate your production targets.
Optimization
We are applying many different optimization techniques to reduce the costs of running your models up to 10x.
Engine
Find the optimal trade-off between performance and cost by using our engine and run your models on different accelerators.
Any platform
Deploy your models with a single click on the Cloud and don't worry about scalability, or deploy your models on Edge devices using our deployment tools and containers.