OUR TECHNOLOGY

Ahead Research supplies a series of stacks and toolkit components to accelerate the release of high-value AI solutions
The goal of such stacks is to provide a light framework that is easy to use and can support complex decision-making processes by exploiting operative research algorithms, machine learning and simulation.

aHead Research is technology based on algorithms

Our software stacks

Over the past few decades, we created a complete set of software stacks -building blocks- to support the implementation of our AI-based technologies. In particular, we have developed and are still advancing:

a stack that facilitates the design and the formalization of optimization problems, supporting our Operations Research Scientists;
A stack for the analysis and forecast of time series, which provides several prediction models -from well-established statistical models, such as VAR and SARIMA, to more advanced models based on neural networks like Transformer, RNN and GAN- as well as a toolkit of components able to extract key features and statics from such time series, identify anomalies and regressions, extract/incorporate functions and analyze edits
a stack that supports our Simulation Scientists in the simulation of discreet events.

Our added value: Universities and Research Centers

Another relevant contribution to our work comes from the close collaboration with universities and research centers. Professors and post-doc research actively contribute to the development and integration of cutting-edge algorithms to our software stacks and monitor their quality, mathematical rigor, and robustness of the produced results.

AI through a cloud-native approach

aHead Research provides Artificial Intelligence solutions by exploiting both microservices and serverless strategies. The implementation of AI models such as microservices and server functions allows for the perfect integration of artificial intelligence services in the existing legacy systems, enhancing scalability, speed, cost reduction and the isolation of faults.

AI through a cloud-native approach

The right programming language for the right AI solutions

The implementation of AI solutions thorugh microservices and serverless functions lallows to choose the best programming language for each of the specific AI tasks. It is possible to choose from a plethora of languages -Python, Java, C, C++, Go, etc.- and frameworks -Tensorflow, PyTorch, etc.-, in order to employ the combination that best satisfies specific business demands.

The right programming language for the right AI solutions

Obsessed with Scalability

Automatic scalability is one of the key features of our AI solutions. Autoscaling allows to adjust in real time the size of the computational resources needed, and to do so automatically. Autoscaling expunges the need for hardware resizing, and grants flexibility and the possibility of in-progress edits.