AI/ML IS NOT ONE-SIZE-FITS-ALL

engineering | research | consulting

ML MADE FOR YOU

We are an AI shop practicing ML
as a specialty, not just an add-on.

AI Research

Math. Statistics. Modeling. Data Science. Neuroscience. Engineering. Psychology. There's a lot that goes into building the right AI technique.

Have a tricky problem? We're ready to dive in.

AI Engineering

Need XAI? Verifiable ML? A specialized app? Human-machine teaming? Something more robust than a random algorithm from a code package?

Your mission demands precision. We provide mathematically provable AI.

AI-as-a-service

AI is a diverse field of practice. And having the right expertise can turn an impossible problem into a big opportunity.

Rely on us to to provide your program, mission, or software with the right AI development expertise.

Curation-as-a-service

Your ML system is only as good as the data its trained on.

Struggling with overfitting? Underfitting? Bias? We can help you curate and preprocess the data for better modeling.

OUR WORK

Case studies featuring our partners and algorithms.

Using ML to green HPC and cloud computing

August 8, 2022

A single cloud computing data center can consume as much power as 50,000 homes. Redpoint AI partnered with a cloud provider to help them conserve energy and reduce costs.

How ML is tackling the global silicon chip shortage

August 7, 2022

Applying ML to the silicon ingot manufacturing process reduces errors by more than 60%. And significantly increases production capacity for silicon chip manufacturers.

How ML helps protect vital marine ecosystems

August 7, 2022

Our machine learning team helped a civil agency reduce full motion video analysis time by 99%. And made it possible to protect more vital coral reef than ever before.

WHO WE ARE

We specialize in researching and developing applications of artificial intelligence and machine learning.

From early stage AI research to AI-as-a-service, we specialize in AI to deliver truly novel and bespoke AI applications.

Redpoint AI is proudly a service disabled veteran owned small business.

RECENT NEWS

A drone is sitting on top of a black case in the dark.

How can low-SWAP AI help drone operations?

May 1, 2024

This article delves into how low-swap AI, or AI that operates on minimal computational resources, is transforming the drone industry. From improving battery life to enabling more complex missions without the need for bulky hardware, the implications of this technology are vast and significant.

a fighter jet is flying through a cloudy sky

Revolutionizing Command-and-Control Through Advanced Reinforcement Learning Technologies

March 1, 2024

Explore how Reinforcement Learning (RL) is transforming Command-and-Control (C2) systems by enabling adaptive, efficient, and autonomous decision-making. Discover the pivotal role of RL in dynamic decision-making, strategic resource allocation, adversarial response, mission planning, and advanced training simulations. Learn how integrating RL into C2 systems enhances operational agility, efficiency, robustness, and continuous improvement, setting a new standard for military operations and strategic planning in complex environments.

a close up of a blue and purple coral reef

AI for Coral Reef Stewardship: Enhancing Efficiency and Accuracy in Environmental Monitoring and Assessment

December 7, 2023

How can AI protect coral reefs?

a blue background with white lines and dots

The Evolutionary Leap in Neural Networks: From Classical to Biological Inspiration

December 7, 2023

The Evolution of Neural Network Technology

The Synergy of Spectra and Spikes: Hyperspectral Data Analysis Meets Spiking Neural Networks (SNNs)

October 24, 2023

Dynamic Temporal Processing: Spiking Neural Networks Take on Hyperspectral Data Analysis Hyperspectral imaging produces complex data laden with rich spectral signatures, but conventional techniques often struggle to fully analyze this information. Now, Spiking Neural Networks (SNNs) are breaking new ground. With dynamic temporal processing, SNNs are able to efficiently unlock insights from massive hyperspectral datasets across diverse domains, from spotting crop diseases to identifying camouflaged objects. This combination of cutting-edge data and next-gen AI represents an exciting shift, as SNNs usher in new possibilities for real-time, accurate hyperspectral analysis. The future looks bright for this synergy between spectra and spikes.