Amberd.ai aims to redefine business decision making, emerges from stealth
Amberd.ai, an AI platform built for data-intensive organizations, is introducing its private, LLM-native decision system that lets enterprises ask plain-language questions and receive clear, sourced answers from their own data while protecting privacy and compliance.
According to the company, multiple databases and documents can be queried in the context of industry-specific laws and regulations, providing a single, decision-ready answer organizations can trust.
This launch follows more than two years of product development and real-world testing with enterprise customers.
Amberd.ai’s solution architecture team works with enterprise stakeholders to deploy AI-driven decision engines that connect directly to existing systems, workflows, and data sources, delivering real-time, decision-ready insights tailored to each organization, the company said.
Amberd.ai’s platform is deployed in a private, enterprise-grade environment, ensuring that data remains under the customer’s control and is protected by strict governance and security controls.
Amberd.ai was built on the idea that enterprises shouldn’t have to choose between the power of cloud-based AI and the safety of a locked-down data environment. The company ensures that sensitive information stays within the customer’s control, while still giving leaders fast, conversational access to the insights they need, the company said.
“Enterprises have more data than ever, but AI stalls because data is fragmented and siloed, the risks around privacy and compliance are unclear, and leaders don’t fully trust the answers,” said Zaré Baghdasarian, co-CEO of Amberd.ai. “With Amberd, we’re excited to launch a private AI decision platform that brings together live data, industry context, and a transparent, auditable workflow so organizations can finally treat AI-driven business intelligence as decision-grade.”
Amberd.ai is currently available to enterprise customers and is designed to scale alongside existing data infrastructure without disrupting current systems.
For more information about this news, visit https://amberd.ai.