With the focus on next-generation enterprise systems, predictive modeling, and AI we help businesses make smarter decisions that drive real ROI and reduce costs.
Our AI researchers and AI software developers have already helped multiple businesses increase operational efficiency and create new opportunities – we have improved mobile workforce allocation and management with an intelligent resource optimization algorithm that recommends the best schedules and collects information about jobs for further analysis, real-time data analytics that helped our client’s customers reduce energy consumption by 20 % and make transition to renewable energy sources.
We deliver AI based solutions for Fortune Global 200 corporations.
Our team starts a rigorous analysis to decide where the most promising sources of value are. This helps our data and business analysts identify viable business cases for AI application development, as well as success criteria.
Next step covers data discovery. Our team will gather, clean, and structure your data for further analysis.
AI engineers work on developing unique prediction models using AI and machine learning techniques. With PoC we validate initial ideas and start testing AI models on your real business data.
Our team integrates a machine learning model into your production environment in a non-disruptive way, so that you can start receiving practical business value right away.
We offer our clients Enterprise AI development and implementation services that help organizations adopt AI into all layers of an organization – from developing predictive analytics that provides deep insight into your business operations, to complete automation of all your data entry processes and routine tasks.
Our data science team apply advanced analytics capabilities spanning ad-hoc statistical analysis, predictive modeling, data mining, text analytics, optimization, real-time scoring, and machine learning to develop intelligent enterprise analytics tools that discover patterns in the organization’s data to make accurate business predictions.
Credit risk assessment and fraud detection for banking
Predictive maintenance and enhanced monitoring in automobiles and other manufactured products
Personalized offers and targeting of your customers
Demand forecasting for intelligent inventory management
We develop intelligent enterprise applications that engage employees and customers using natural language processing chatbots, virtual agents, and machine learning.
Product and service recommendation systems for retailers that increase personalization, engagement, and sales.
Health treatment recommendation systems that help providers create customized care plans based on the patient’s EHR.
Intelligent agents that offer 24/7 customer service.
Take information processing to the next level with intelligent automation. Sift through mountains of big data to cut costs and decrease natural human error. Save thousands of manual hours through applied automation. Handle complex information processing and management, all at scale.
Data-entry procedures in workflow processes for claims management and invoice processing.
Automated data processing of banking transactions and meter readings by an energy provider.
Routine tasks automation that drastically reduces operational costs and increases work efficiency.
Let’s talk to one of our AI experts.
The Data Analytics module for a retail enterprise resource planning software delivers business insight based on accumulated history, your present situation, and forward-facing trends to all decision-makers, revealing the next steps toward better financial and operational planning.
Aggregating all the data about your company performance from purchases, warehouse management, to order delivery into a single source for deep analytics provides complete visibility into your enterprise operations.
Stakeholders can now find everything they need embedded within their familiar work context. From inventory managers to the sales team, and boards of directors – their decisions now can be based on the right data and context.
Processed data can be presented in interactive charts, histograms, and waterfalls. The users can drill down within the information, click through the reports and add context to the records, making the best use of available data.
We have transformed the way users access and interact with the enterprise data through completely new and intuitive UI, creating a meaningful data-driven experience.
With more than 1 mln users every day seeking for expert’s help on the platform, JustAnswer is always looking for ways to improve and augment their services.
Having a chatbot as the first touchpoint on the platform helped our partner provide better, more personalized service to their customers.
The virtual assistive technology has been in beta testing for three years being trained on 16 million questions and answers in the company’s database.
Having an AI-driven assistant on their platform allowed our partner to:
AAI, ChatScript, flask, gunicorn, machine learning algorithms, nginx, Python, scikit-learn
It is vital to choose appropriate technologies and programming languages for project implementation as it influences project development duration, its cost and lifespan.