Adaly

• Unified access to structured, unstructured and partner data sources
• Natural-language analytics: ask questions and get insights in plain language
• Cross-source reasoning: discover interdependencies across internal and external data
• Real time insight generation and decision support
• Single pane view of data, insights and actions across the organization
• Built-in enterprise security, role-based access and governance controls
• Integration with major enterprise systems like ERP, CRM, cloud data platforms
• Turn insights into action by automating workflows and decision triggers
• Zero-to-low-code onboarding with minimal infrastructure changes
• Designed for modern enterprise scale with performance, cost-savings and governance

Adaly is a federated enterprise AI platform designed to connect an organization’s data, applications, and operational systems without requiring the business to copy everything into a central warehouse. Its core approach is a governed computational fabric that lets people, AI agents, and applications query and act across enterprise systems while keeping the underlying data in its original environment.

The platform is designed for organizations working with complex combinations of legacy systems, modern applications, structured databases, unstructured information, and operational data. Instead of creating additional copies through conventional data pipelines, Adaly routes queries to the systems that already contain the required information. Results can be returned in real time while existing permissions and controls remain in effect.

Adaly provides three primary ways to use the platform. Vessel is an embedded layer for builders who want to connect applications, agents, models, and workflows to the federated fabric. Studio is a hosted workspace where technical and non-technical users can ask questions across enterprise systems using natural language and receive answers with citations. Atlas is an operated deployment in which Adaly works with an organization’s team to design, deploy, and run applications, agents, and workflows.

Governance is a central part of the platform. Adaly is designed to honor existing entitlements across reads and approved writes, while providing lineage for answers so users can understand where information originated. Its architecture also aims to reduce dependence on centralized copies, duplicated pipelines, and model-specific infrastructure.

The platform supports both analysis and action. Approved workflows can write information back into connected systems, allowing enterprise AI to move beyond dashboards and passive reporting toward operational automation.

Adaly is primarily aimed at large enterprises and organizations with complex data environments. Its use cases span areas including finance, operations, supply chain, marketing, sales, risk, compliance, healthcare, manufacturing, telecommunications, and other enterprise functions.

Frequently Asked Questions

What is Adaly used for?

Adaly is used to connect enterprise data and systems for real-time AI analysis, governed queries, automation, and approved operational actions. It is designed for organizations that need intelligence across multiple business systems without centralizing all their data.

How does Adaly access enterprise data?

Adaly routes queries directly to connected systems where the underlying data remains stored. This federated approach allows information to be accessed without requiring organizations to create additional centralized copies.

Does Adaly copy enterprise data into a warehouse?

No, Adaly is designed to query data in place rather than requiring a centralized warehouse copy. The platform routes requests to source systems and returns live results while respecting their existing controls.

What are Vessel, Studio, and Atlas in Adaly?

Vessel is the embedded option for developers and applications, Studio is the hosted workspace for users who want to ask questions across enterprise systems, and Atlas is an operated deployment built and managed with the customer’s team.

Does Adaly support AI agents?

Yes, Adaly provides connectivity for AI agents through its federated platform. Agents can access governed enterprise information and approved workflows without requiring the organization to rebuild its data architecture around a single AI model.

Can Adaly write information back to business systems?

Yes, Adaly supports governed read and write operations across connected systems. Write actions can be scoped, approved, audited, and controlled according to the organization’s requirements.

How much does Adaly cost?

Adaly uses different pricing models depending on the package selected. Vessel is priced by usage, Studio is priced per seat, and Atlas is priced according to a statement of work, with no public starting price disclosed.

Who is Adaly best for?

Adaly is designed primarily for enterprises with complex, distributed data and operational systems. It is particularly relevant to organizations seeking real-time cross-system intelligence, governed AI automation, and reduced dependence on centralized data copies.

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