The mission behind Altoros services is to transform data-driven companies into pro-active organizations through powering the core workflows by artificial intelligence (AI) and robotic process automation (RPA). We strive to enable predictive maintenance, increase data analytics accuracy, automate time-consuming operations, and eliminate fraud.
Altoros applies its extensive expertise in machine / deep learning, natural language processing, computer vision, predictive modeling, and anomaly detection to deliver solutions that make a difference across finance, insurance, healthcare, manufacturing, retail, and other industries.
With robotics process automation, we help organizations to bring efficiency to manual, time-, resource-, and cost-consuming tasks through emulation of human actions.
You can rely on Altoros when it comes to the development of fully fledged AI solutions tailored to your business needs, a proof of concept and a minimum viable product to estimate the potential value and get early feedback, as well as consulting over the issues you experience or technology considered for adoption. We also provide corporate trainings to build a knowledge base around the technology of interest for your in-house team.Robotic process automation
Altoros offers a three-step RPA implementation that will help you to launch a pilot in just 10–12 weeks! On the way, we will assist you in automating manual, repetitive tasks that previously took immense effort, time, and human resources. With RPA, you will be able to enhance all the high-load, rule-based, electronic, or standardized processes, while achieving scalability, flexibility, and overall improved user experience.
By employing artificial intelligent workers coupled with Google Cloud Platform services, Altoros delivered a solution that is able to aggregate unstructured financial reports from PDF files (each document up to 500 pages) and extract tables of contents with a precision of 99%, helping analysts to make market prediction in a more efficient way. Natural language processing is underlying the discovery and extraction of meaningful information to be used for further analysis. Robotic process automation helped to increase performance and reduce the cost of business routines and perspectives.Car damage estimation
Driven by artificial intelligent workers, deep learning, and Google Cloud Platform services, the system developed by Altoros enables to estimate loss through image recognition of damaged cars. The solution is capable of detecting car parts and estimating the degree of damage done with almost 100% precision. Using RPA, the product enjoys high performance and reduced cost of business routines and perspectives.Resources White papers Cheat Sheet: AI Basics and Machine Learning with Python
This cheat sheet overviews use cases of applying machine learning to improve operations and automate processes in manufacturing, finance, healthcare, retail, advertising, and other industries.TensorFlow Cheat Sheet
TensorFlow is an open-source library from Google developed for creating deep learning models. This cheat sheet looks into TensorFlow basics (installation, main classes, optimizers, reduction and activation functions, etc.), how to install skflow (a simplified interface) and Keras (a highly modular neural network library to run on top of TensorFlow), as well as a set of Python helper functions.Blog
In our machine learning section, you will find a collection of real-world AI implementations across industries, as well as technical tutorials and news on recent advancements in the sector.