Join ASIMOV founder Arto Bendiken for a hands-on developer workshop exploring the foundations of verifiable, local-first artificial intelligence.

This session introduces ASIMOV Platform 25.0, an open-source environment for building AI systems grounded in knowledge graphs, provenance, and explicit reasoning — designed to run locally rather than relying on opaque cloud inference.

Participants will install and run the platform locally, explore its graph-based architecture, and see how verifiable knowledge models can replace today’s probabilistic black boxes with systems that are transparent, auditable, and composable.

This workshop follows the ETHDenver 2026 soft launch of ASIMOV Personal Intelligence and focuses on the underlying technical architecture rather than product UI.

Guest Speaker
Rob Kunkle
Technical writer and developer with experience at Google, Meta, and Salesforce. Rob is credited with writing significant portions of the PyTorch documentation and is contributing the first external ASIMOV module, focused on structured knowledge graphs inspired by Apple research.

Who this is for

Developers, engineers, and AI researchers interested in:

Local-first AI systems
Knowledge graphs and ontologies
Verifiable and explainable intelligence
Privacy-preserving architectures

Hosted by Circuit Launch.

Important Notice:
This event will include a live demonstration of ASIMOV’s local-first biometric recognition technology. Participation is entirely voluntary. Facial recognition and related processing occur locally on user devices and are not stored in or transmitted to any central server. By attending and choosing to interact with the application, you acknowledge and consent to this demonstration.

ASIMOV DevLabs 6: Context Graphs & Personal Intelligence