Partner overview
What is evidenced, what is still missing and how collaboration begins. No confidential information is shown here.
Overview
- Scientific identity
- EIL is an independent research lab on human-AI interaction, emergence, cognition and intelligent systems. The founder is Laura Serna Gaviria (Bachelor of Engineering, mechatronics).
- Research structure
- Eight research spaces, eleven programs, six axes, twelve topics.
- Publications
- Six published preprints on OSF and Zenodo. They are not peer reviewed.
- System capabilities
- The Observatory, the kernel and the agent orchestration run in operation or as prototypes. Many agents are experimental or planned. The list below gives the status per system.
- Development pipeline
- Further development of the agents, the Observatory and the checking tools. New offers, such as Human-AI Learning, start as pilots.
- Collaboration model
- Per engagement: one question, one agreed result. EIL takes research and modeling, RFI-IRFOS takes system implementation.
- Market and competition
- Neighboring fields are research labs, AI-literacy consulting and vendors of agent systems. EIL combines long-term research on human-AI interaction with its own systems.
- IP and collaboration rights
- Clarified in writing per engagement.
- Funding and milestones
- Milestones are set together with a funding partner.
- Evidenced traction
- Published preprints and running systems.
System status
Status as on the Systems page. No system is externally validated.
- Observatory Implemented
- SELFGRAPH Experimental
- DINGIR Active research
- Intelligence Workbench Concept
- JARVIS Implemented
- MIRROR Experimental
- JANUS Experimental
- DAEDALUS Experimental
- DELTA Planned
- NYX Experimental
- ROBERT Planned
- ARGUS Planned
- ATLAS Experimental
- KOPERNIKUS Experimental
- LYNX Experimental
Open evidence
- Scientific identity: No institutional affiliation with a university stated.
- Publications: No peer-reviewed publication.
- System capabilities: No external validation of any system. No measured hit rates.
- Market and competition: No market-size or willingness-to-pay data from buyer conversations.
- IP and collaboration rights: No public evidence on protective rights.
- Funding and milestones: No funding plan published.
- Evidenced traction: No revenue, customers or partnerships evidenced.
CONTACT
Work with the Lab
Research collaboration, methodology question or applied-research enquiry.
