With RAIC, non-technical teams can build and run classification and detection models in minutes without labeled data.
RAIC Labs automates the analysis of large, unstructured datasets so you can train and deploy AI models radically faster than traditional approaches.
With RAIC, non-technical teams can build and run classification and detection models in minutes without labeled data.
The days of labeling data by hand over weeks, months, or even years are gone.
RAIC is an end-to-end AI pipeline that automates the analysis of a variety of large, unstructured datasets, from security camera footage to geospatial imagery. You can ingest, search, and categorize your data - build and train models - run inference - and integrate or access RAIC through cloud-hosted APIs.
Integrate RAIC into your current workflows today to exponentially accelerate your speed-to-insight.
Since the inception of RAIC Labs in 2019, the Company’s mission has always included undertaking projects that seek to positively impact the world. It’s with this mission in mind that the AI for Impact program was born. In essence, the AI for Impact program aims to diminish the barriers to traditional AI technologies by minimizing the cost, labor, and time required to see a project through to completion. This approach is particularly important for impact-based organizations, given the limited budget and resources in which these organizations operate.
Before now, trying to build an image-based detection model for search and rescue operations would have been a waste of effort. By the time the model was ready the emergency would be long over. We tried this and it took 20 people three weeks to achieve. Literally over a years’ worth of time was spent and the result was a model based on only one environment. Now there’s a way to do this in minutes. RAIC is going to be a game changer for search and rescue and other emergency response operations across the globe.Patrick McKay,
You don’t really want AI, you want answers. Getting them today takes months - or years - and costs millions of dollars.
What if you could get around the problem of needing massive amounts of human-labeled data? What if you could use AI to get critical insights - even when data is unstructured or sparse?
Instead of needing months of human labeling to have some base AI performance in a new situation, RAIC can get to work immediately, radically reducing the latency between data collection and actionable insights.
Imagine a world in which breakthrough discoveries are commonplace. Let us help you transcend data limitations and extend AI into your most critical areas of exploration and impact.