octonomy

octonomy

octonomy develops digital specialists for complex knowledge work. They perform real cognitive work, read and understand documents, drawings and tables and combine this knowledge with live data from connected CRM, ERP, IoT and ticket systems. This produces context-related, operationally usable results in human quality, completely hallucination-free. octonomy's digital specialists carry out multi-stage projects and end-to-end process chains independently.

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Our Focus Topics

Our focus topics form the thematic core of the DIGITAL X – with a clear view of the relevant challenges and opportunities for companies.

Artificial intelligence

About the company

These digital specialists go far beyond simple chatbots or assistants. They perform real cognitive work: they read and understand extensive documents, technical manuals, drawings and complex tables. At the same time, they access live data from connected company systems such as CRM, ERP, IoT or ticket systems. Static knowledge from documents meets dynamic context from operational systems.

The result is contextual, actionable results in human quality. octonomy's digital specialists take on multi-stage projects and end-to-end process chains independently. They make well-founded decisions, carry out complex work steps and deliver results that are immediately operationally usable - GDPR-compliant and secure.

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Masterclass Artificial intelligence

Die beste KI-Plattform für komplexes Wissen – Warum Standard-KI scheitert und wie Unternehmen kritische Prozesse automatisieren

12:30-13:00
Raum A
German
Basic

Standard AI sounds promising - but fails as soon as it becomes complex. Technical documentation, distributed knowledge, ERP data and tasks that require context and judgment overwhelm generic solutions. In this masterclass, octonomy CEO Sushel Bijganath uses concrete practical examples to show how companies can automate complex support and service processes with reliable, hallucination-free AI - without replacing existing systems. Afterwards, BORA will talk about the details: How did the implementation really go? What stumbling blocks were there? What should companies pay attention to right from the start? Unvarnished insights, honest learnings and practical tips for anyone who wants to know what to expect from AI projects.