NinjaTech AI simplifies everyday tasks with AWS generative AI

NinjaTech AI leverages Amazon Web Services (AWS) purpose-built machine learning chips to autonomously handle complex tasks at 80% cost savings compared to GPUs.

cost savings compared to GPUs

more energy efficient by using AWS Trainium and Inferentia 2

saved per week by utilizing Ninja's virtual assistants

Powering productivity with Amazon Bedrock

NinjaTech believes that there is “no single large language model that will rule them all" and Amazon Bedrock provides MyNinja users access to a wide range of premium LLMs through a single API for an affordable price. 

MyNinja user interface

Accessible personal assistants made possible

NinajaTech AI's co-founder, Sam Naghshineh, shares how the company is using AWS Inferentia and Trainium to boost productivity and automate time consuming tasks with multiple personal assistants powered by AI.

The future of productivity agents

Read how NinjaTech developed NinjaLLM, an ensemble of large language models (LLMs) optimized for different use cases. Fine-tuning open-source LLMs using AWS Trainium chips and AWS ParallelCluster took less than 3 hours and less than $1,000 per iteration—a mere fraction of traditional accelerators.

Architecture Map

How to build like a Ninja

Get the inside scoop on how Ninja can write code, conduct in-depth research asynchronously, and even schedule appointments. Democratizing access to personal agents is made possible with AWS AI chips, Trainium and Inferentia, in combination with Amazon SageMaker as its massive orchestration system.

Transforming how we work and learn

Watch to learn how a scheduler, researcher, coder, and advisor all work to make your life easier. NinjaTech AI sets out to give 1 hour of weekly productivity back by creating caring and thoughtful assistants helping to navigate real-world tasks.