Oneagent
oneAgent provides a conversational BI and GenAI analytics platform that lets business users query corporate data in natural language and receive verified answers based on approved, governed KPI definitions. The platform separates AI language understanding from controlled business logic, ensuring every response references defined sources, filters, and validation status. It includes goal tracking with automated deviation alerts and gap analysis by region, product, or customer.
- Data & Analytics
- Enterprise Software
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Business intelligence tools often fail to deliver timely answers, with report requests taking days and dashboards only answering pre-modeled questions. This leads to shadow BI in spreadsheets, conflicting KPI definitions across departments, and employees resorting to unapproved external AI tools that expose corporate data to uncontrolled environments.
Solution
oneAgent provides a conversational BI and GenAI analytics platform that lets business users ask data questions in natural language and receive verified answers based on approved corporate logic. The platform uses AI to understand questions but not to invent metrics—all KPIs like revenue, margin, and return rate are defined, validated, and released by controlling or BI teams before being reused in chat. Users can query data, generate forecasts, create summaries, and develop action ideas directly in the conversation, with results rendered as tables, charts, or dashboard components. IT and data teams retain control over data access, role permissions, and governance while business departments gain self-service flexibility without creating new shadow processes. The platform operates on a trust layer that separates AI language understanding from governed business logic, ensuring every answer references defined sources, filters, time periods, and validation status. oneAgent also includes a goal-setting feature that tracks performance against targets and proactively alerts users when values deviate, breaking down gaps by region, product, or customer.
Target Audience
Primary customers are DACH mid-market companies, specifically finance, controlling, sales, marketing, e-commerce, operations, and management teams that need faster access to corporate data, as well as IT and BI departments seeking to enable self-service without losing governance.
Features
- Natural language querying with context recognition for time periods, filters, dimensions, and relevant KPIs, including clarifying follow-up questions
- Governed KPI definitions with source references, calculation logic, filters, aliases, and ownership, marked with trust badges in results
- Trust process with defined test cases, source system reconciliation, SQL validation, and formal approval before metrics are released for chat use
- 550+ data connectors supporting ERP, CRM, shop systems, data warehouses, files, and APIs, with live connections or import into the oneAgent Lake
- AI-powered analysis features including anomaly explanations, management summaries, cause hypotheses, and next-step suggestions based on verified data
- Role-based access control, DSGVO-compliant architecture, and deployment options for cloud, customer infrastructure, or fully on-premise environments
- Goal tracking with automated deviation alerts, gap analysis by region/product/customer, and task assignment suggestions
- Reusable outputs that can be saved as dashboard components or pinned for recurring decisions