GenAI is transforming all industries, yet the potential of GenAI can be limited by the implementation approach organizations take. As companies experiment with GenAI, the core challenge is bridging the gap between potential and profit.
Implementing off-the-shelf models, managing data, and ensuring regulatory compliance is often more complicated and time-consuming than anticipated. The VSI Enterprise GenAI (WeGA) Studio was created to help enterprises navigate these challenges and make the most of their GenAI investments.
As enterprises struggle to execute and maintain GenAI at scale, WeGA Studio addresses the challenges of moving from pilot to production.
WeGA Studio accelerates GenAI time-to-value
The VSI Enterprise GenAI (WeGA) Studio puts companies in the GenAI fast lane. We help enterprises rapidly differentiate their capabilities and attain game-changing ROI without having to build everything from scratch.
- Harvest unique value from your data
- Deliver next-gen user experiences
- Drive continuous value with a Center of Excellence (CoE)
- Drive speed with specialized skills at scale
- Solve hard problems with production-ready accelerators
- Measure and improve ROI
- Chose the right tech from the start
- Build flexibility into the system
- Protect people and data with a responsible approach
Key Capabilities
WeGA Studio is a full-service GenAI studio providing consulting and engineering expertise in large language models (LLMs) and related technologies. We accelerate AI value with a large portfolio of powerful accelerators built in response to the real-world challenges experienced by today’s global enterprises.
Full-service AI studio to achieve game-changing AI value
Application templates deliver custom AI solutions faster
Pre-built accelerators address shortcomings of GenAI models
Advanced models support high performance, accurate results, and specialized use cases
WeGA Studio Accelerators
WeGA Studio offers an extensive library of ready-to-use accelerators covering all aspects of GenAI, data engineering, model development, and user experience.
Robust security measures for GenAI models hosted on enterprise cloud or on-prem.
Custom applications tailored to specific enterprise use cases.
Domain-specific rules that shape GenAI responses and filter out unwanted information.
Mechanisms to verify GenAI model responses by tracing them back to training data.
Automation to reduce manual checks and ensure correct and complete responses.
Infrastructure, models, and applications to maximize speed while minimizing cost.
Optimized data ingestion that preserves meaning and context for GenAI analysis.
Management of training datasets, language model versions, and accuracy monitoring.