about us
Luminoso, the MIT Media Lab’s brain-child
Luminoso Technologies is a global leader in the Natural Language Understanding market. It was born out of the prestigious MIT Media Lab.
Our cloud-based platform for text analytics revolutionizes the way organizations uncover insights from conversational and feedback data like survey submissions, calls, support tickets, and product reviews. With support for 14 languages, Luminoso preserves the nuance of stories as communicated by customers, employees, and industry voices.
Powered by advanced AI and machine learning, our platform goes beyond surface-level understanding by understanding language the way humans do, down to the subtle nuances. It uncovers hidden patterns, sentiments, and biases, empowering organizations to make data-driven decisions with confidence.
Trusted by Fortune 100 companies, we nurture human connections that drive critical business strategies. Discover the power of Luminoso and unlock the potential within your customer data.
Luminoso’s mission is to provide unbiased, cost-effective text analysis solutions that empower organizations to make informed decisions, foster innovation, and improve customers experiences, all while respecting privacy and promoting inclusivity.
Company Values
Luminoso Technologies is a privately held company, headquartered in Boston, MA, with a global presence.
Built For Business Analysts
- Connect and categorize your data in minutes
- Built for data-science level granularity, customize everything
- Create new methodologies for analyzing qualitative data not yet seen in the market
Built For Subject Matter Experts
- Drill down into specific drivers to determine why and how
- Unpack relationships for deeper understanding and how one point may impact others
- Operationalize the insights to the rest of your organization through data visualization and reporting systems
Built For Key Stakeholders
- Rapid implementation for faster results and higher savings
- Automate data loading and ingest multiple data types seamlessly
- Current and unbiased results enable more effective decision-making in near real-time