Convex is your complete no-code AutoML platform designed to revolutionize how you build, deploy, and govern machine learning models – without writing a single line of code. Seamlessly integrate ModelOps automation, alternative data, and collaborative workflows to deliver production-ready ML solutions faster than ever.
Whether you're a data scientist, business analyst, or IT leader, Convex empowers everyone to harness machine learning's full potential through its guided, step-by-step workflow. From regression and classification to clustering, Convex supports the model types you need.
What makes Convex truly powerful:
- No-Code Model Development: Visual workflows let you build sophisticated models using point-and-click simplicity.
- End-to-End Data Pipeline: From raw data integration to feature engineering – all within the same interface.
- Automated ModelOps: Governance, monitoring, and retraining happen automatically, without manual intervention.
- Collaborative Workspaces: Data teams and business stakeholders work together in real-time.
- Flexible and There When You Need It: Highly secure, available 24-7 via secure portal login. Enterprise-grade security with always-on access for your team.
Built for Every Role in Your Organization
- For Data Scientists: Focus on innovation, not infrastructure. Access advanced algorithms and experiment freely without deployment headaches.
- For IT Leaders: Ensure governance, security, and scalability with built-in ModelOps. Eliminate shadow IT and single points of failure.
- For Executives: Gain confidence in AI decisions with transparent model tracking, clear ROI reporting, and standardized processes across teams.
Related Frequently Asked Questions
What is Convex and who is it for?
Convex is a no-code machine learning platform designed for data scientists, business analysts, IT leaders, and executive teams. Anyone who wants to build, deploy, and manage ML models without writing code can use it.
What does no-code mean? Do I really need to write no code?
Yes, completely no-code! Follow guided workflows for data integration, model training, deployment, and monitoring. No technical knowledge required – just apply your business logic.
What types of machine learning models does it support?
All popular model types: ● Supervised: Regression, classification ● Unsupervised: Clustering
How can I integrate my data?
Easy integration: CSV, SQL databases.
How do I monitor model performance?
Real-time monitoring: ● Accuracy, precision, recall metrics ● Drift detection (data/model drift)
How does the data sampling feature work?
Convex allows automatic or manual sampling from your datasets. It's useful for reducing large datasets, balancing imbalanced classes, or creating subsets for testing.
Does it support synthetic data generation?
Yes, Convex includes synthetic data generation. It creates artificial datasets that mimic the distribution of real data.