Stay at the edge of innovation with our custom language models based on the robust combination of AI and NLP. Automate customer service with human-like interaction, tap into the minds of customers, and reduce your admin burden.
Our data science developers combine analytics and AI to create custom models that help you size up your customers and markets – and operate accordingly. Adapt to your changing behaviors in real time and drive value from interactions.
Identify future trends, bring clarity to resource allocation, and increase production capacity by spotting emerging issues. Leverage our data analytics services to build custom predictive analytics models that move your company up the ladder.
Connect with your customers on a deep level, make smarter sales decisions, and put the focus on the right products or services. Enrich your CX with a tailored recommendation system built by our certified software developers.
Benefit from our professional services to get a better handle on real-time data and reduce your time-to-insight. Record and deliver performance analytics in a split second and act on dynamic insights instead of historical ones.
Simplify data entry, facilitate document classification, and streamline the back-end of your business. Our data science development services include OCR solution development for multiple business cases and formats.
Our client is an E-commerce provider. The company was looking to build a custom module for automated ad campaign tracking and optimization across channels.
The InData Labs team delivered an ML-enabled model with a suite of analytical and forecasting capabilities for integrated ads management.
Our developers implemented this project for a large retailer. The client wanted to obtain a unified view of a customer based on heterogeneous input.
Our engineers have built a custom SaaS architecture with a built-in dashboard that displays crucial KPIs and customer insights.
Our client needed to classify customer emails and audio data by intent, using an NLP-based module.
InData Labs’ team has delivered on the project requirements and set up an ongoing analytics pipeline that tracks customers’ sentiments.
Our client was looking to build a real-time unified analytics solution for at-scale analysis and reporting of insights.
Our developers transformed the data architecture of our client and set up a serverless environment for split-second processing and visualization.
Data science technology is a term used to describe the various tools and techniques used to extract insights from the existing input. This includes everything from visualization and machine learning to more traditional methods such as statistical analysis.
The technology is constantly evolving, and new tools and techniques are being developed all the time. Our company selects a custom combination of methods and techniques to address the unique needs of a particular client.
Data science as a service is used for a variety of purposes, from analyzing customer insights to understanding satellite images. It is a way to outsource the data science model development process to data science as a service companies that can share their expertise and reduce the costs of hiring an in-house team.
The exact amount of upfront investment into data science in software development differs by project size, complexity, and location of your data analytics firm.
It may cost you from $20,000 to $100,000 for PoC to validate the idea and guarantee the scalability of a project. Contact our company to get an accurate estimation of your project.
Some of the services that a data scientist can provide include data mining service, analysis, predictive modeling, and more. They can help organizations to make better decisions by providing insights that would not be apparent from looking at the input alone. Data experts can also help to improve the efficiency of decision-making by automating the process of input analysis.
Many companies are using data science technology and innovation to make better decisions and improve their businesses. Here are some of the benefits that data science service providers can deliver for your company: