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We deliver relevant and impactful custom AI software, data science and Big data solutions tailored to your unique business requirements. We propel your business and help you innovate with less risk and better results.
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The client works with many brands in the E-commerce domain. The challenge was to create a customized predictive analytics-based solution and recommendation system to advance the existing e-commerce platform.
We developed a solution to provide personalized recommendations and find similar users and items based on the data.
The client is a logistics company. They wanted to improve their existing freight prediction software, so they contacted InData Labs team.
We suggested using machine learning for advancing prediction accuracy. As a result, our team has developed a solution to help forwarding managers predict freight rates and ease decision-making.
The client is a chemical manufacturer. They were looking for a solution to effectively analyze mixture chemical compositions.
The InData Labs team has developed a Big data analytics solution for real-time sales, insight extraction, product analysis, and automated reporting. Now the client can analyze chemical compositions and visualize data in no time.
The client is a data center company. They needed help with analytics and smart reporting implementation.
Our team of data scientists has created a BI reporting solution to unify construction project data and visualize it for easier decision-making.
The client is an American E-commerce company. They requested our team to build a sentiment identification system. The goal was to mine insights and reshape customer strategy to get the most out of their marketing campaigns.
We’ve developed an AI-based sentiment analysis software for sentiment detection and analysis and customer churn prediction.
InData Labs was working with an online sports betting company on a customer churn prediction software.
Our team managed to deliver customer churn prediction software in a short time that improved customer retention rate by more than 40%.
The Client turned to InData Labs with the concept of using 3D image data to predict racehorse performance.
The challenge was to create an application to work with data on existing horses and sales datasets.
InData Labs delivered a custom app that enabled the Client to implement AI into horse breeding and predicting race performance.
The client provides personalized apps in the healthcare market. The client asked InData Labs to empower their existing app with Predictive Analytics.
The challenge was to tailor a BI solution to work with user data collected via an app.
Our team enhanced the client’s app with predictive analytics. Now, the app offers personalized recommendations.
The Client – a digital marketplace that helps brands and influencers connect to impact audiences around the world.
Our challenge was to amplify the functionality of influencer marketing platform and enable real-time social media analytics.
Our artificial intelligence software developers used its own social media analytics API as a basis for a custom application for analyzing publicly available social media data.
AI is used in software development to help write code faster and more effectively, automate manual tasks, and speed up the testing process. Using AI in software app development, one can expect the app to be more robust, speedy, and almost error-free.
Custom AI apps may cost from $15 K up to $70-100K and more. The cost usually comes from complexity, functionality, and exclusiveness.
An AI company is an AI technology vendor who has got broad expertise under their belt, an impressive project portfolio in various business domains. AI, data scientists, software engineers, quality assurance specialists can usually work on an average project.
The benefits of AI software development are the following: