Ten Point Data
Ten Point Data provides an agentic AI platform that converts any type of data into clear, decision-ready recommendations, addressing the problem of information overload. The company offers this as Data Infrastructure as a Service (DIaaS), combining dynamic data collection, agentic AI, and data transformation for businesses of all sizes. The platform includes industry-specific solutions for banking, insurance, hospitality, and technology sectors.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Data & Analytics
- Software Only
- Insurance Technology
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Businesses face overwhelming volumes of data from diverse sources, making it difficult to extract meaningful insights and act decisively. Generic AI tools often add to the burden by producing more outputs to interpret rather than delivering clear-cut answers. This information overload slows decision-making and prevents organizations from focusing attention on strategic priorities.
Solution
Ten Point Data provides an agentic AI platform that automatically processes any type of data and converts it into straightforward, decision-ready recommendations. The company offers this as Data Infrastructure as a Service (DIaaS), combining dynamic data collection, agentic AI, and data transformation into a single offering. The platform analyzes information, identifies what matters most, and presents clear-cut actions the user can take next, drawing on expertise from public and private sector intelligence work. The system is designed for effortless adoption across organizational sizes, allowing both solo practitioners and large enterprises to harness AI for confident and timely decisions.
Target Audience
Primary customers are business leaders, analysts, and operations teams at companies of all sizes, from solo entrepreneurs and SMBs to Fortune 500 enterprises, who need fast, accurate data interpretation without deep technical expertise. The platform also targets specific verticals including banks, insurance companies, hospitality providers, and technology firms.
Features
- Agentic AI engine that autonomously processes mixed data types to produce recommended decisions
- DIaaS model combining dynamic data collection, agentic AI, and data transformation
- Industry-specific solutions for banking, insurance, hospitality, and technology sectors
- Real-time fraud detection and risk assessment capabilities for financial institutions
- Automated claims processing and personalized customer engagement tools for insurers
- Scalable deployment serving both individual entrepreneurs and Fortune 500 companies
- User interface oriented toward clear outcomes rather than raw data exploration or complex dashboards