Enterprise Knowledge Landscape
It’s all there. Just not sure where.
Enterprises face a critical challenge: decades of fragmented IT and Process knowledge scattered across documentation solution, helpdesk tickets, shared drives and complex codebases—with original developers long gone. This knowledge drain forces teams into constrained decision-making during strategic projects and migrations, creating unnecessary risks and delays.
Found it. Just don’t understand what it means.
Discovery is only half the battle. Once the right documents, tickets, workflows, tables, or code are found, teams are left to decode unclear terminology, undocumented logic, obsolete assumptions, and hidden dependencies. What appears to be available knowledge often lacks the context needed to act on it confidently making modernization, migrations, audits, and process changes slower, riskier, and more dependent on scarce expert interpretation.
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Discover. Reason. Plan. Execute.
In today’s complex digital enterprise, teams need intelligent solutions that can instantly find the right knowledge, explain what it means, and support confident execution.
Agentic AI solutions are now mature enough to address this challenge by turning scattered information into actionable guidance and coordinated action. Beyond recommendations, they can help initiate and execute real business steps such as approvals, code updates, configuration changes, workflow actions, and system updates, enabling organizations to move faster, reduce risk, and make better decisions when it matters most.
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Comprehensive Agentic AI Workbench
A feature-rich, enterprise-managed Agentic AI platform focused on deep enterprise integration, corporate brain establishment, AI sovereignty, observability, detailed agentic and cost control, and agent-human collaborative work modes.
Designed from the ground up to be enterprise-ready, with the security, governance, deployment flexibility, and operational controls required for government, defence, and other high-assurance environments.
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Choose your LLM
Select the language model that best fits each enterprise use case, from cloud-based models such as Claude and OpenAI to on-premise served models such as DeepSeek* or GLM*.
Organizations can balance capability, cost, latency, privacy, and regulatory needs by choosing the right model for each workload.
This flexibility avoids lock-in, supports cost optimization, and allows sensitive workloads to run on controlled infrastructure when required.
Enterprise Authentication
Select the language model that best fits each enterprise use case, from Claude and OpenAI to on-premise served models such as DeepSeek* or GLM*.
Organizations can balance capability, cost, latency, privacy, and regulatory needs by choosing the right model for the right workload.
This avoids lock-in while allowing sensitive workloads to run on controlled infrastructure when required.
Project Focus Mode
Enable teams and specialized AI agents to collaborate in shared projects around a common business objective.
Teams can bring together relevant content, assign skill-focused agents, discover information, reason across context, and plan next-best actions for use cases such as reverse engineering, requirements definition, deep studies, and research.
Where execution is enabled, dbEddie can connect to enterprise tools to support approved operational actions, governed by access controls, auditability, and defined approval boundaries.
Cost Control
Track token usage by teams, members, agents, and workflows with clear visibility into consumption patterns. Allocate budgets, set usage limits, monitor spend, and identify high-cost activities—helping enterprises scale AI adoption responsibly while maintaining financial control and accountability. Working together.
Corporate Brain
A corporate brain is established by capturing knowledge generated across users, projects, documents, systems, and agent interactions.
User and project memory pools enable both short-term working memory for active conversations and long-term organizational memory for reusable knowledge.
On-Premíse and Cloud
Deploy flexibly across on-premise infrastructure, virtual machines, Kubernetes clusters, Azure*, GCP* or other cloud environments of choice**.
The platform supports enterprise deployment models that align with existing IT, security, compliance, and data residency requirements. This gives organizations control over where AI runs, where data stays, and how infrastructure is governed.
LLM Providers
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Anthropic -
Open AI
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Deepseek
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GLM Z.ai
Authentication
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Microsoft Entra
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Keycloak
Enterprise Systems
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Snowflake/Databricks
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SAP BW/4HANA and SAP S/4HANA
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AWS S3/GLUE/Athena
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Confluence/Jira/GIT
On-Prem and Cloud Ready
Deploy flexibly across on-premise infrastructure, virtual machines, Kubernetes clusters, Azure*, GCP* or other cloud environments of choice**.
The platform supports enterprise deployment models that align with existing IT, security, compliance, and data residency requirements. This gives organizations control over where AI runs, where data stays, and how infrastructure is governed.
* Currently in implementation
** May require customer funded request
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