Amberd.ai Launches Private AI Decision Platform for Data-Driven Enterprises
Artificial intelligence continues to transform how organizations analyze data and make strategic decisions. Recently, Amberd.ai announced the launch of its private, LLM-native AI decision platform designed specifically for data-intensive enterprises.
The new system enables organizations to ask plain-language questions and receive clear, verified answers sourced directly from their own internal data, while maintaining strict privacy and regulatory compliance.
This development marks a major step forward in enterprise AI adoption, helping businesses turn fragmented data into trusted, decision-ready insights.
A Private AI System Built for Enterprise Data
Unlike traditional AI tools, Amberd.ai’s platform allows companies to query multiple databases and internal documents simultaneously. It also evaluates data within the context of industry-specific laws and regulations, ensuring that every answer is compliant and reliable.
The result is a single, consolidated response that business leaders can use confidently for operational and strategic decisions.
For organizations dealing with large volumes of complex data, this approach reduces the time needed to analyze information while increasing decision accuracy.
More Than Two Years of Development
The launch follows over two years of product development and real-world testing with enterprise customers.
Amberd.ai was co-founded by experienced technology leaders Mazda Marvasti and Zaré Baghdasarian, who both serve as co-CEOs.
With decades of experience building large-scale enterprise systems, the founders designed Amberd to solve one of the biggest challenges businesses face today: turning complex data ecosystems into actionable intelligence.
Why Enterprises Struggle to Implement AI
While AI adoption is growing rapidly, many organizations still face challenges integrating it into real operational workflows.
Some of the most common obstacles include:
- Legacy IT infrastructure
- Fragmented data across multiple systems
- Limited internal AI expertise
- Security and compliance concerns
Building AI internally can be expensive and time-consuming. At the same time, many off-the-shelf AI tools fail to integrate deeply with enterprise data systems.
Amberd.ai addresses this gap by offering custom AI decision engines that connect directly with existing enterprise systems, workflows, and databases.
Real-World Enterprise Use Case
One of the early adopters of the platform is Connected Dealer Services (CDS).
The company uses Amberd.ai to connect connected-car data with dealer-management systems (DMS), enabling dealerships to gain deeper insights and improve business performance.
According to Shane Wilson, the platform solved a major challenge.
“Public LLMs were never an option for CDS due to the sensitivity of our customer and vehicle data. Amberd provided a secure AI platform that integrates directly with both our connected-car data and dealer management systems.”
This integration gives CDS a unified, real-time view of critical business data, helping them make faster and more informed decisions.
Privacy-First AI Infrastructure
Security and governance are central to Amberd.ai’s platform design.
The system operates in a private, enterprise-grade environment, ensuring that:
- Sensitive company data remains under customer control
- Strict security and governance policies are maintained
- Organizations can leverage AI without compromising compliance
The platform is built on the principle that enterprises should not have to choose between powerful cloud AI capabilities and secure internal data environments.
The Future of AI-Driven Business Decisions
According to co-CEO Zaré Baghdasarian, the biggest challenge organizations face today is not data collection but data fragmentation and trust in AI outputs.
Amberd.ai aims to solve this by combining:
- Live enterprise data
- Industry-specific regulatory context
- Transparent and auditable workflows
This approach helps organizations treat AI-driven insights as true decision-grade intelligence, rather than experimental analytics.
Final Thoughts
As AI adoption continues to grow, platforms like Amberd.ai highlight the future of enterprise decision intelligence. By providing secure, compliant, and data-integrated AI systems, businesses can unlock the full potential of their data.
