Amberd offers a private, LLM‑native AI platform that connects to an enterprise’s relational databases, data warehouses, and document repositories to deliver real‑time, natural‑language answers, reports, and visualizations. The fully managed service runs on‑premise or in a secure cloud environment, providing built‑in governance, encryption, and compliance controls so executives can query siloed data without data‑engineering effort.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises in logistics, manufacturing, and IoT often store data in multiple siloed systems, making it difficult for executives to obtain timely, trustworthy answers for strategic decisions. Accessing both structured databases and unstructured documents typically requires complex integration and poses security and compliance risks.
Solution
Amberd delivers a private, LLM‑native AI platform that connects to all enterprise data sources—relational databases, data warehouses, and document repositories—and provides real‑time, natural‑language answers. The service is fully managed, ensuring that the underlying infrastructure remains within the customer’s security perimeter and complies with industry regulations. Executives can ask plain‑language questions and receive decision‑grade insights, including automatically generated reports and visualizations, without needing data engineering expertise. By unifying data access, Amberd eliminates silos and reduces the latency between query and insight, enabling faster, more informed decision making.
Target Audience
Primary customers are senior leaders and decision‑makers in data‑intensive sectors such as logistics, supply‑chain, automotive manufacturing, and IoT/asset management, as well as the IT teams that manage their data environments.
Features
- Private, on‑premise or cloud‑hosted deployment of a large language model that never leaves the enterprise environment
- Real‑time query across multiple databases, schemas, and unstructured document stores with a single, consistent answer
- Built‑in data governance, encryption, and compliance controls to protect sensitive information
- Automatic extraction of facts from documents and integration with relational data for comprehensive insights
- Instant generation of executive‑ready reports and visual dashboards from query results
- Fully managed service handling model updates, scaling, and security patching