Unique technology achievements combined with practical application
Even though the performance of cognitive systems created by AIHunters seems like sheere magic, there nothing but science behind it. Our team of AI Engineers and Scientists tackels complex tasks with neat technology applications.
Cognitive computing that delivers intelligent business automation
We rely on the cognitive computing technology which transforms how decisions are made and how work gets done. Cognitive computing works with data in a manner previously associated only with humans.
Our cognitive computing implementation uses sophisticated Computer Vision tech that hasn’t existed before. We combine Deep Learning, Cognitive science, human perception, math modeling, Probabilistic AI, and digital image processing.
50+ unique algorithms and approaches
We created a set of reusable libraries, modules, containers, pipelines, both independent (representing respective cognitive functions of the brain) and structured into pipelines (in accordance with the way media is consumed by humans). Combining these blocks, we are able to deliver any type of cognitive automation by reconstructing a simplified model of human cognition.
Besides that, we have implemented a multi-cloud service infrastructure that ensures unlimited scalability
Recreating human cognition
Why it’s different?
Usually our competitors target limited cases and try to solve them with the simple digital image processing. Such solutions provide lots of output data but no decision based on this data.
Whereas algorithms created by AIHunters have the “Cognitive decisions” stage. This part of processing helps to make human-mimicking decisions and gather the knowledge retrieved from bare data. Then this knowledge is transferred to human employees as explicit commands which help to achieve intelligent business automation.
“Representations” stage
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- Deep Learning
- Digital Image Processing
“Cognitive Decisions” stage
Make human-mimicking decisions and gather implicit knowledge
- Probabilistic AI
- Cognitive Science
- Math Modelling
“Knowledge Transfer” stage
Give instructions
- Adaptive
- Essential
- Explicit
Let technology do the heavy lifting
Let’s discuss your use case and see what we can do about it.