00
+Years into AI..
Transforming Possibilities:
Discover AI-Driven Excellence
At Data-O-Matic, we are an innovative AI and Machine Learning startup specializing in transforming the healthcare and clinical research landscape. Our mission is to harness the power of cutting-edge AI technologies to deliver intelligent, scalable, and secure solutions that address real-world challenges.
From generative AI and predictive analytics to business process automation, we provide tailored services that empower organizations to unlock new efficiencies and drive better outcomes. With a focus on cost-effectiveness, data privacy, and timely delivery, we are committed to revolutionizing industries while ensuring seamless user experiences. At Data-O-Matic, we don’t just create solutions—we build trust and deliver excellence.
Computer Vision- Deep Learning
- Data Cleaning and Management
- Generative AI - Text & Images
- Intelligent Document Processing
- Data Extraction from Unstructured Data
- Information Extraction and Semantic Search
- Text Analytics & Summarization
AI & industry experts review your enterprise requirements & identify opportunites
Over 10+ Satisfied Customers!
Over the years, we have evolved into a dynamic organization, providing cutting-edge solutions and expanding our offerings across multiple domains. We pride ourselves on delivering innovative, cloud-based services and leveraging Artificial Intelligence and Machine Learning (AI/ML) technologies to address complex business challenges.
Business Process Automation
Automating data collection, monitoring, and reporting processes for clinical research. Enhancing efficiency and compliance with regulatory requirements.
Cloud-Based Services
Electronic Data Capture (EDC) Document Management System Learning Management System (LMS) Incorporating Custom AI Solutions in Your Usual Workflow
At Data-O-Matic, we don’t just create solutions—we build trust and deliver excellence.
How to
get started?
Analysis & Requirement Gathering
Identify business challenges and objectives. Assess data availability and feasibility. Define scope, timeline, and success metrics.
01
Quick Proof of Concept
Develop, test, and validate AI models. Deploy the solution and integrate it with existing process.
02
Implementation & Optimization
Gather feedback & Fine-tune models for improved accuracy and efficiency. Provide ongoing support and updates to meet evolving needs.
03