You can trust.
you can scale.
Ensure data privacy as well as compliance to industry regulatory standards that are critical for business use cases
Granular Access Controls
Role and attribute based access controls at the data element level ensures secure discovery and model building.
Data Cell-Level Security
Responsible data handling through encryption for privacy and data snapshots for reliability.
Identify, implement, and manage the rules and procedures required for accessing and deploying models.
Achieve transparency and accountability of AI projects with audit trails, model governance, and transparency.
AI Audit Trails
Monitor and track the ML lifecycle with AI workflows to mitigate drift and ensure model reliability.
Model & Data Governance
Define and enforce practices and processes to help ensure the formal management of data assets.
Eliminate fear of bias with complete transparency of model results and how these results are achieved.
Ease of use
Democratization of data and the automation of the AI lifecycle empowers all data users to be innovators — accelerating the time-to-market of new AI solutions.
Low/No-Code AI Development
Abstract the complexities of AI through an intuitive and graphical user interface for data science and modeling.
Simplify data access, ingestion, and harmonization by fusing disparate sources in a centralized data reservoir.
ML Ops Automation & Serving
Streamline the ML lifecycle by automating mundane ML Ops tasks to accelerate time-to-market of new AI solutions.
Build trust of AI across the business and data teams, which will increase adoption of AI to enable more use cases and solutions.
Build trust with the business through model performance insights to mitigate risk and ensure AI solutions are production ready.
Visual AI Explainability
Ensure clear understanding of how your models work for both technical and business audiences.
Ensure resiliency and accuracy of models through exhaustive stress testing.
Dismantle cross-team silos between data teams and the business to boost trust and productivity across the organization.