Easy-to-assemble code libraries to accelerate AI solution build

A modular approach to developing best-of-breed AI solutions

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Enable business transformation with enterprise-wide
adoption of AI

The world of language and vision models is rapidly evolving. To build the most accurate AI solutions, we use a best-of-breed approach, where we bring together the right medley of enterprise software and open-source frameworks.

We have significant R&D investments into areas of NLP, Computer Vision, LLMs, Vision-Language models, and Reinforcement learning – all with the intent of building top-performing solutions for our customers.

Tiger AI Hub is the collection of foundational libraries, benchmarks, workflows, and frameworks – with an end goal to operationalize, productionize, and scale AI solutions. It also brings in best practices around regulatory, compliance, and governance.

The world of language and vision models is rapidly evolving. To build the most accurate AI solutions, we use a best-of-breed approach, where we bring together the right medley of enterprise software and open-source frameworks.

We have significant R&D investments into areas of NLP, Computer Vision, LLMs, Vision-Language models, and Reinforcement learning – all with the intent of building top-performing solutions for our customers.

Tiger AI Hub is the collection of foundational libraries, benchmarks, workflows, and frameworks – with an end goal to operationalize, productionize, and scale AI solutions. It also brings in best practices around regulatory, compliance, and governance.

Tiger AI Hub utilities

Generative AI
Frameworks and benchmarks to choose the right custom/enterprise LLM for a given use-case. Implementation workflows & deployment utilities for custom LLM built with human-in-the-loop.
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Computer Vision
Modules across knowledge distillation, active learning, instance segmentation, object detection, satellite image processing, GANs, vision-language models, 3D scans processing, etc.
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NLP
Code libraries, frameworks, and workflows for classification, named entity recognition, information extraction, search engines, etc. Custom trained models with high quality validated data using human-in-the loop.
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Edge AI
Build, miniaturize, and utilize large neural networks or other suitable models, counter the challenges of low storage, memory and compute resources, and reduce latency.
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Why choose us?

Accelerated time to value with the pre-built foundational components
Pre-trained models on publicly available data to address domain/use case-specific needs
A dedicated applied AI R&D team keeps all modules current with the latest research in the AI world
Robust MLOPs framework with a strong focus on model operation and lifecycle management
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