Cambridge Technology Enterprises Limited | Company Profile
Contact Information
Industry & Market
Company Metrics
Funding Information
Headcount Distribution
By Department
Department Breakdown
Technology Stack
Analytics & Tracking
Social & Marketing
Development
Email & Communication
Keywords & Focus Areas
Cambridge Technology Enterprises Limited
Overview
Cambridge Technology Enterprises Limited is an India-based business and technology services company specializing in IT solutions, enterprise transformation, artificial intelligence (AI), data analytics, and cloud services. Founded in 1999 and headquartered in Hyderabad, the organization operates globally with locations in the United States, Qatar, Malaysia, and the Philippines. It is publicly listed under the ticker CTE.BO.
The company provides comprehensive offerings such as model development, AI/ML integration, IT infrastructure, cloud and IoT services, and application design for personalization and user engagement. Serving midsize and global enterprises, Cambridge Technology emphasizes custom solutions that foster efficiency and innovation, maintaining long-term client partnerships and adapting its services to evolving business needs.
Basic Information
| Industry | information technology & services |
|---|---|
| Founded | 1999 |
| Revenue | 23.3M |
| Headquarters | 5051 Peachtree Corners Circle, Suite 200, Atlanta, Georgia 30092, United States |
| Languages | English |
| Alexa Ranking |
Contact Details
- Phone: +1 470-447-1627
- Website: cambridgetech.com
- LinkedIn: linkedin.com/company/cambridge-technology
Key Focus Areas & Initiatives
- Artificial intelligence
- Machine learning
- Big data
- Cloud services
- DevOps
- IAM services
- Data analytics
- Data engineering
- Mobility services
- IoT services
- SaaS
- Infrastructure managed services
- AIaaS
- Application development
- Application modernization
- IT services & IT consulting
- AI for operational efficiency
- AI model customization
- Data solutions
- AI for customer experience
- AI in healthcare
- AI/ML assessment
- Data acquisition
- Meta models
- Data quality assurance
- AI assessment
- AI-driven automation
- Data governance
- Data lineage
- Healthcare and life sciences
- System integration
- IOT & mobility
- Consulting
- Technology services
- AI solutions
- AI for supply chain
- Automation
- Data quality management
- AI model tuning
- AI model training
- AI model deployment
- Automotive
- Operational efficiency
- AI for predictive analytics
- DataOps
- Energy & utilities
- AI infrastructure
- Custom software
- Process twins
- Data monitoring
- Data pipeline automation
- Data readiness
- AI in automotive
- Generative AI
- AI for anomaly detection
- AI for predictive maintenance
- Data platform scaling
- AI for process automation
- Data interoperability
- AI optimization
- Business consulting
- AI for quality control
- Data security
- AI for demand forecasting
- Model abstraction
- Software development
- Data platforms
- AI and data strategy
- Model development
- Enterprise software
- Operational observability
- AI-powered decision making
- Financial services & insurance
- AI models
- Data streaming platforms
- Data visualization
- Cybersecurity
- AI model optimization
- Process optimization
- Cloud transformation
- AI for drug discovery
- Retail & e-commerce
- Custom enterprise applications
- Business intelligence
- AI for automotive safety
- AI for industry
- AI model management
- AI for medical imaging
- AI for industrial IoT
- AI for manufacturing automation
- Enterprise applications
- AI consulting
- Data abstraction
- AI for resource planning
- Data compliance
- Technology consulting
- AI integration
- Data platform development
- Cloud computing
- Large language models
- Ensemble learning
- Data governance frameworks
- AI methodology
- Data integration
- AI in energy
- IT infrastructure
- AI in retail
- Data warehouses
- AI for patient care
- AI for energy management
- AI for energy efficiency
- AI for virtual health assistants
- Customer experience
- Data lakes
- AI for environmental monitoring
- AI for logistics optimization
- Data lifecycle management
- Data architecture
- AI/ML layers
- AI for retail personalization
- Data observability
- Digital transformation
- Operational design
- AI for healthcare diagnostics
- Data cataloging
- Data pipelines
- B2B
- Computer systems design and related services
- Enterprise SaaS
- AI for financial risk
- Predictive analytics
- AI model innovation
- AI for smart grids
- Healthcare
- Finance
- Manufacturing
- Consumer products & retail
- Enterprises
- Computer software
- App development
- Apps
- Management consulting
- Computer & network security
- Analytics
- Health care
- Health, wellness & fitness
- Hospital & health care
- Financial services
- Mechanical or industrial engineering
Technologies Used
- AI
- Amazon AWS
- Atlassian Cloud
- Backbone JS Library
- Bootstrap Framework
- DoubleClick
- DoubleClick Conversion
- Google Analytics
- Google Dynamic Remarketing
- Google Tag Manager
- Microsoft Office 365
- Mobile Friendly
- Nginx
- Outlook
- Rackspace MailGun
- Remote
- Sendgrid
- WordPress.org
- reCAPTCHA