Trisha Anjali
Founder
Numberz.ai
Numberz.ai provides an enterprise AI platform that unifies fragmented data sources into a single, queryable knowledge layer, enabling business users to ask natural‑language questions and receive real‑time answers. The system adds governance, security and audit‑ready controls while automatically triggering downstream workflows, helping large organizations and U.S. government agencies accelerate decision‑making without relying on specialized analysts.
- Artificial Intelligence
- Developer Tools
- Enterprise Software
Updated 5 months ago
Funding
Funding rounds are not available yet.
Founders
Stephen Prakash
Co‑co …
Product
Problem
Enterprises and government agencies often have critical data siloed across databases, applications, spreadsheets, and documents, making it difficult to obtain timely answers for operational decisions. Traditional business intelligence tools rely on static reports and manual analysis, resulting in delayed insights that miss the window for effective action.
Solution
Numberz.ai delivers an enterprise AI platform that unifies fragmented data sources into a single, queryable knowledge layer, allowing business users to ask natural‑language questions and receive real‑time answers. The system applies AI models to interpret structured and unstructured data, generate actionable insights, and automatically trigger downstream workflows. Built‑in governance, security, and audit trails ensure that every query and automated action complies with organizational policies and regulatory requirements. The platform supports both on‑premises and cloud deployments, enabling U.S.–based operations to maintain data residency while scaling across large, complex environments. By abstracting data integration and analysis, Numberz.ai reduces reliance on specialized analysts and accelerates decision‑making across the organization.
Target Audience
Primary customers are large enterprises and U.S. government agencies that need rapid, trustworthy operational intelligence across multiple, disconnected data sources.
Features
- Unified data connector framework that ingests and normalizes data from databases, SaaS applications, files, and document repositories
- Natural‑language query engine powered by large‑language models, delivering instant answers without requiring SQL expertise
- Real‑time inference pipelines that generate insights and trigger automated actions in connected enterprise systems
- Comprehensive governance layer with role‑based access control, data lineage tracking, and audit‑ready logs
- Security controls including encryption at rest and in transit, and compliance with U.S. government standards
- Hybrid deployment options (cloud, on‑premises, or edge) to meet data residency and performance requirements