7Lift.AI provides a cloud‑native platform that lets enterprise data science teams ingest data, build or import machine‑learning models, and deploy them as auto‑scaling REST APIs. The system handles versioning, monitoring, and security, enabling AI outputs to be integrated directly into existing business workflows for automated decision support.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations lack the infrastructure and expertise to embed machine learning models into their existing business processes, resulting in fragmented analytics, manual decision-making, and limited scalability of AI initiatives.
Solution
7Lift.AI delivers a cloud-native platform that streamlines the end‑to‑end lifecycle of AI models, from data ingestion to deployment and monitoring. Users can connect disparate data sources, apply pre‑built or custom machine‑learning models, and expose the results through RESTful APIs that fit directly into current workflows. The platform automatically handles scaling, version control, and performance monitoring, enabling continuous improvement without extensive engineering effort. Integrated decision‑support tools translate model outputs into actionable insights, helping businesses automate routine tasks and make data‑driven choices faster.
Target Audience
Primary customers are enterprise data science and analytics teams seeking to operationalize AI across finance, operations, and customer‑facing functions.
Features
- Unified data connectors for databases, data lakes, and SaaS applications
- Drag‑and‑drop model builder with library of pre‑trained algorithms and support for custom code
- One‑click deployment to a managed, auto‑scaling inference environment
- REST and SDK APIs for seamless integration with existing enterprise systems
- Real‑time monitoring dashboard with performance metrics, drift detection, and alerting
- Role‑based access control and enterprise‑grade security compliance