Zetta AI - Bryant McGill

# Zetta AI **Entity class:** Connectomics company **Collection:** [[collections/Neurotech|Neurotech]] **Type:** Connectomics company **Primary source:** [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]] ## Definition **Zetta AI** is a connectomics research group and reconstruction-service company. It provides image stitching and alignment, cellular and synaptic segmentation, synapse assignment, CAVE-based proofreading, and related processing for large electron-microscopy volumes. ## Provenance and Development The company’s genealogy is carried by authorship and engineering continuity across FlyWire and MICrONS. Thomas Macrina, J. Alexander Bae, Sven Dorkenwald, Szi-Chieh Yu, Arie Matsliah, H. Sebastian Seung, Mala Murthy, and other collaborators appear across the reconstruction pipelines and publications that produced whole-fly and cubic-millimeter mammalian maps. Zetta describes itself as a contributor to the U.S. BRAIN CONNECTS effort to map a whole mouse brain at synaptic resolution. ## Applications in Use Zetta offers reconstruction services to neuroscience laboratories and identifies its AI as part of the automatic reconstruction behind FlyWire and MICrONS. Its publication list continued through 2026 with work on the combined Drosophila brain-and-ventral-nerve-cord connectome and whole-brain synapse detection. ## Forward Capability Zetta states an ultimate goal of **zettascale connectomics**, the order of data volume expected for a human brain imaged at synaptic resolution. The governing variables are automated segmentation error, proofreading labor per traced neuron, and processing cost per imaged volume. The platform could compose with [[wiki/PRISM (E11 Bio)|PRISM]] if molecular barcodes and optical imaging can supply lower-cost, self-correcting inputs to the reconstruction stack. This is an architectural comparison, not a documented integration. ## Open Questions Ownership, incorporation, financing, customer volume, and the contractual role of Zetta within BRAIN CONNECTS remain unresolved. Corporate filings, award documents, and customer contracts would settle those institutional edges. ## Relationships - Was co-founded by [[wiki/Thomas Macrina|Thomas Macrina]] and [[wiki/Sebastian Seung|Sebastian Seung]]. - [[wiki/Sergiy Popovych|Sergiy Popovych]] is identified as CTO; [[wiki/Kisuk Lee|Kisuk Lee]] is also associated with the company. - Its service role grows from connectome-mapping expertise shared with [[wiki/MICrONS|MICrONS]] and [[wiki/FlyWire|FlyWire]] contributors.  This entry's documented connections are expressed in its definition and related-work routes, with provenance retained in the source-linked material.  ## Related Work in the Corpus  - In [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]], **MICrONS: Function-Structure Registration at Mammalian Scale** provides the narrative context for **Zetta AI**: Key Princeton contributors include J.  ## Sources - [Zetta AI — reconstruction services and publications](https://zetta.ai/) - [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]] § *III.7 — Reconstruction Infrastructure: PATHFINDER, MoGen, Flood-Filling Networks, LICONN* ## Research Inferences  These entries translate the forward-looking register in [[research/Research Inferences|Research Inferences]] into ordinary wiki prose. The tier labels apply to the inference, not automatically to every factual anchor inside it. The interpretive frame comes from [[articles/Technologies for Consciousness Mapping and Transfer|Technologies for Consciousness Mapping and Transfer]] and [[articles/Mind Uploading and AI — The Host is Reusable and the Person is the Delta|Mind Uploading and AI — The Host is Reusable and the Person is the Delta]]. Collection route: [[collections/Neurotech|Neurotech]]. - **INF-0106 — Established.** The Princeton reconstruction lineage — Seung, Murthy, Macrina, Dorkenwald, Bae — appears across FlyWire, MICrONS, and human retinal volumes and now inside a commercial entity. A field with a single dominant pipeline lineage has a single point of methodological leverage.