Now
Defined services
Reliability sprints, voice-agent pilots and workflow automation builds with explicit scope and handover.
Company
Reliable AI agents for real business workflows.
AuraMind is a founder-led engineering studio in Hamburg. Agent reliability is the technical spine; voice and workflow automation are the commercial applications.
Thesis
Client workflows reveal recurring failure modes.
Tool-using and voice agents often fail in repeatable ways: missing evidence, brittle retrieval, unclear permissions, unsafe actions, weak handoffs and invisible provider dependencies. AuraMind maps those failures inside practical workflows and turns them into tests that can be rerun.
The long-term direction is reusable reliability infrastructure grounded in the realities of operating AI systems. Services create access to those realities; Labs makes selected methods inspectable without pretending that research prototypes are mature products.
Learning loop
Recurring failures
Capture patterns across traces, retrieval, tool calls, evidence and approval boundaries.
Direction
Reusable tests
Develop reliable, inspectable evaluation assets without inventing traction or certification.
Partnerships
Pilot, grant and strategic conversations.
AuraMind welcomes conversations where the workflow, evidence and ownership can be made explicit. Public funding or strategic-partnership discussions should be grounded in a defined technical milestone and honest current status, not inflated market claims.
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