Jio AI

Making
AI accessible to all

Bring power of generative AI in your business workflows and build the next generation of software using LLMs

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Platform

Unified MLOps platform

Designed to simplify data operations, integration, analytics, & governance

Instant access to pre-trained models

Explore pre-trained models using AutoML Playground to rapidly prototype and integrate them into any project.

Save training time with distributed support

Utilize multiple GPUs and CPUs to speed up model training. Distribute training across devices to minimize overall time.

Flexible options for model deployment

Optimize model deployment with sandboxes, multi-cloud/hybrid support, and scaling tailored to requirements.

Inference API instrumentation and monitoring

Make data-driven decisions, resolve issues, and optimize growth with monitored interference API instrumentation.

Intelligent workflows with agent actions

Build workflows with smart LLM-based agents. They use advanced language models to execute complex tasks.

Import models from Hugging Face

Tap into Hugging Face's vast model library. Easily import and use pre-trained models for a wide range of NLP tasks.

JioCopilot

Fuel collaboration with JioCopilot & scale-up performance upto 10x

AI-powered copilot is crafted to align with your organization's specific needs and boost productivity

Business Copilot

Business copilot will assist businesses in various operations and offer personalized solutions based on customers’ requirements.

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Design Copilot

Elevate the design process with the added power of AI-generated insights, enhancing creativity and efficiency in design projects.

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Dev Copilot

AI-powered coding assistant offers context-aware code suggestions across multiple languages and accelerates every stage of development

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Accelerate your business with Copilot.Live, the all-in-one solution that unifies your verticals, empowering you to gain instant insights with unrivalled speed and efficiency

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Coming Soon

TigerBoost: India-Centric Large Language Model (LLM) built using JioAutoML

An exceptional general-purpose LLM, meticulously trained on India-specific data, language, and proprietary information from Fynd and Jio ecosystems. Available in three versatile versions, tailored to cater to diverse needs:

TigerBoost 200B

Empowering AI projects with unparalleled language understanding and context

TigerBoost Coder

Specialized to enhance code understanding and design comprehension

TigerBoost Edge

Ensures inference efficiency with optimized AI applications for mobile and edge devices

Solutions

AI made accessible to all

Empowers intelligence at every step of your business journey

Stitch multiple infrastructure services together

Integrate and leverage various cloud-based services, on-premises resources, and third-party tools, creating a unified and cohesive environment for AI development and deployment.

Key features and benefits:

Flexibility in resource allocation

Easy interoperability and integration

Scalability in performance

Cost optimization

Reduce dependency on proprietary APIs and cloud providers

Better control over the AI development environment, reducing vendor lock-in time and promoting flexibility in selecting the best solutions for their specific needs.

Key features and benefits:

Standardized APIs and protocols

Support for open-source solutions

Customizable infrastructure

Hybrid cloud deployments

Custom data integration wizard

Integrate and store scattered data in one place and use it to train models. This makes it easier and more efficient to incorporate custom data sources into the AI development pipeline.

Key features and benefits:

Automated data source discovery

Easy data mapping assistance

Drag-and-drop functionality

Frag and drop functionality

User-centric learning & onboarding program

High learning curve across multiple toolchains ensures a smooth and structured journey from novice to proficient AI developers, easing the complexities associated with multiple toolchains.

Key features and benefits:

Unified user interface

Guided tutorials and documentation

Pre-built code snippets and templates

Interactive notebooks to experiment

AI-powered customized assistance

AI-powered platform to assist, guide and collaborate with users to perform tasks more efficiently, make informed decisions, or navigate through complex processes.

Key features and benefits:

Step-by-step process guidance

Accelerate development process

Performance tracking and monitoring

Centralized documents and resources

Discover JioAutoML use cases

JioAutoML: Gateway to exceptional MLOps use cases with LLMs

Elevate MLOps journey with the power of open-source LLMs. Explore diverse use cases, fuel innovation, and unleash the potential of AI

Managed database connectors

Connect and integrate data from various sources like MySQL, Postgres, BigQuery, MongoDB, and FTP to perform advanced analytics and make data-driven decisions based on unified data.

Model library & playground

Explore wide range of open-source LLMs and deep learning models and use playground to test different models, compare performance, and identify the best fit for existing use cases.

Low-code, no-code training flows

Empowers both technical and non-technical users to create AI models using low-code or no-code training flows allowing them to prototype and deploy AI applications faster.

Fine-tuned models

Fine-tune foundation models with custom data sources to create highly personalized and context-aware chatbots or virtual assistants to cater to specific needs.

GPU/CPU support

Take advantage of JioAI's support for GPU/CPU-based model training workflows. Enable faster and more efficient training, making it possible to tackle large-scale and computationally intensive projects.

Model inference API

JioAI’s model inference API facilitates seamless model deployment to production environments. Users can deploy their trained models as APIs and integrate AI into their applications.

VectorDB integration

Leverage VectorDB integration to store embeddings efficiently. This ensures easy access to vector data representations for similarity searches, recommendation systems, and other AI applications.

Edge AI with model quantization

Support for model quantization enables efficient model inference on CPUs and edge devices. This makes AI applications more accessible, even in resource-constrained environments.