WEGA: Accelerating AI Transformation with AI

WEGA is Wipro’s AI-powered platform under the Wipro Intelligence suite that is designed to build AI solutions and use cases. It also enables organizations to strategize, build, and manage production-grade GenAI and Agentic AI solutions with speed, scale, and responsibility.

With pre-built agents, customizable templates, and accelerators, WEGA compresses time-to-value while reducing operational complexity. Its embedded governance, observability, and security guardrails ensure trust and compliance from day one.

WEGA accelerates AI time-to-value

Differentiate

Harvest unique value from your data
Deliver next-gen user experiences
Drive continuous value with a Center of Excellence (CoE)

Deliver

Drive speed with specialized skills at scale
Solve hard problems with production-ready accelerators
Measure and improve ROI

De-risk

Chose the right tech from the start
Build flexibility into the system
Protect people and data with a responsible approach

Key Capabilities

WEGA is a full-service AI Platform 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 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 Accelerators

WEGA offers an extensive library of ready-to-use accelerators covering all aspects of AI, data engineering, model development, and user experience.

Security

Robust security measures for GenAI models hosted on enterprise cloud or on-prem.

App Templates

Custom applications tailored to specific enterprise use cases.

Domain Guardrails

Domain-specific rules that shape GenAI responses and filter out unwanted information.

Transparency Framework

Mechanisms to verify GenAI model responses by tracing them back to training data.

Content Moderation

Automation to reduce manual checks and ensure correct and complete responses.

Performance

Infrastructure, models, and applications to maximize speed while minimizing cost.

Data Engineering

Optimized data ingestion that preserves meaning and context for GenAI analysis.

Model Tuning

Management of training datasets, language model versions, and accuracy monitoring.