InData Labs
About InData Labs
The InData Labs’ team includes 80+ specialists in Artificial Intelligence, Big Data, Machine Learning, and Data Science. Our expertise is proven by 155+ successfully implemented projects all over the world and satisfied clients in the United States, UK and EU.
Since 2014, our solutions and consulting services have enabled our clients to get valuable insights into data, automate repetitive tasks, enhance performance, add AI-driven features, and prevent cost overruns.
We are experts in:
- Big Data analytics, Predictive Analytics, Forecasting, and Recommendation Systems Development
- Generative AI (ChatGPT solutions, LLMs, Natural Language Processing)
- Cognitive Computing (sentiment analysis, risk assessment, fraud detection, behavioral recommendations)
- Data Retrieval, Extraction, and OCR.
The InData Labs’ team includes 80+ specialists in Artificial Intelligence, Big Data, Machine Learning, and Data Science. Our expertise is proven by 155+ successfully implemented projects all over the world and satisfied clients in the United States, UK and EU.
Since 2014, our solutions and consulting services have enabled our clients to get valuable insights into data, automate repetitive tasks, enhance performance, add AI-driven features, and prevent cost overruns.
We are experts in:
- Big Data analytics, Predictive Analytics, Forecasting, and Recommendation Systems Development
- Generative AI (ChatGPT solutions, LLMs, Natural Language Processing)
- Cognitive Computing (sentiment analysis, risk assessment, fraud detection, behavioral recommendations)
- Data Retrieval, Extraction, and OCR.
Key Insights
Services & Focus
Industry Focus
Client Focus
Portfolio
HELPING MIGRATE TO AZURE-BASED DATA LAKE CLOUD INFRASTRUCTURE
The InData Labs team was challenged to enable the smooth migration of the Client’s outdated datasets.
We’ve built a reliable cloud infrastructure based on Azure that amplifies real-time IoT data processing. The legacy data management approach was transformed into a modern data ecosystem with improved monitoring and analytics.
AI CUSTOMER ANALYTICS FOR E-COMMERCE PROJECT
The Client contacted InData Labs to develop an accurate sentiment analysis solution.
Our team of data scientists has developed an automated system to identify sentiment and emotional tone in customers reviews enabling actionable information about consumer attitudes toward the Client’s products.
AI FOR EFFICIENT CUSTOMER SERVICE ANALYTICS
InData Labs was asked to mine insights from emails and audio with NLP for the Client. We were challenged to find the solution for efficient data processing and analysis.
Our team of engineers has provided the Client with robust customer service text analytics for fast text mining and data analysis and analytics.
BI FOR UNIFIED CONSTRUCTION PROJECTS ANALYTICS
The InData Labs team was challenged to build a smart BI solution for unstructured data collection and real-time processing.
Our company has provided the client with a robust BI solution to unify and analyze project siloed data. They now make faster decisions and use automated reports.
BUILDING SOCIAL MEDIA ANALYTICS SOFTWARE
Our team helped the Client to build a sophisticated social media scoring software from scratch along with self-discovery tests and competitions on the platform.
The delivered solution is now in production with hundreds of thousands of registered users and growing every day.
MAKING A PROJECT MANAGEMENT SYSTEM SMARTER
InData Labs was hired to create a microservice that should be integrated into the Client’s infrastructure and enhance the quality of the project management system.
InData Labs has managed to achieve the goals and created a microservice that provides access to the API to effectively evaluate a project duration with a higher degree of accuracy than managers could. InData Labs addressed the lack of information managers had when estimating the duration of a project.
NEURAL NETWORK IMPLEMENTATION FOR BETTER CYCLE PREDICTIONS
Indata Labs helped the client to implement neural network and improve irregular cycle predictions by up to 54.2% depending on the quality of input data, with prediction error reduced from 5.6 to 2.6 days.
Flo became the most downloaded app worldwide in its category within months after neural network implementation into its prediction algorithm.
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Location
37052080980
37052080980
13054477330