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GAiA
An Artificial Intelligence Platform To Build The NXT AI Ecosystem
EXPLORE GAiA

One Stop AI-ML Platform

GAiA ™ is the enterprise AI/ML platform offering from Tech Mahindra built upon the open-source Acumos ™ platform for an enhanced end-to-end CX. Acumos™ is an open source AI lifecycle management platform, Co-created by Tech Mahindra & AT&T in collaboration with Linux Foundation.

E2E AI/ML lifecycle management platform
Pre-trained production grade Models
Low TCO and no vendor lock in due to open technologies
Easy approach to support AI/ML customization
Platform that promotes Reuse of existing ML models
Auto ML support ( H2O and H2O driverless AI)

Built for the real challenge

For BUSINESS

From cognitive advertising and vulnerability detection to machine-enabled medical diagnosis and self-organising networks, every industry and enterprise can leap ahead.

For the PLANET

With #AI4Action, we’re bringing together global communities for the world’s first artificial intelligence challenge, to deliver solutions for climate change in partnership with Mission 2020.

For EVERYONE

We’re striving to make advances in artificial intelligence available to developers and data scientists everywhere. Putting the power of AI in the hands of people invested in an open future.

GAiA Use Cases

VM Predictor

Predictive maintenance use case model that predicts VM usage

Connected/Smart Cooler (for IoT)

Smart cooler based on Image recognition that detect cooler impurity in real-time

Cross Sell Analytics

Pre-trained model to cross-sell to current customers based on buying histories

Order Fall-out

Predicts task failures for pre-emptive actions to avoid order completion failures

Dispatch Analytics

Dispatch analytics optimizes truck roll-out logistics

Talent Exchange NLP

Augmenting human efforts to match profiles to the optimum job descriptions

Digital Customer Segmentation

Customer segmentation model to support targeted marketing

Sentiment Analyzer

Sentiment analyser model trained on English language text corpus to detect sentiments

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