3.3 mm³ of brain is now mapped at synapse resolution, more than the rest of the world combined. That is up from 2.3 mm³ last quarter and 0.2 mm³ a year ago.
Our models predict activity in unseen cultured networks at about 73% accuracy. In the fly, we predict activity directly from the connectome at over 90% (published in Nature), and mapping structure to function in mammalian tissue is the frontier we are pushing now.
About 140,000 neurons in a simulated body, driving five connectome-controlled behaviors. If you have not seen it, it is worth two minutes: how we built it.
The first human brain slice is expanded and now in our SF lab, with imaging next. Fly to mouse to human is no longer only a roadmap.
We are taking SAFEs now, ahead of a priced Series A: $50M to scan and upload the first mouse, the opening tranche of a phased ~$300M plan to reach the first human.
About $15 to $25M of follow-on is waiting behind a lead. That is where you can most help, and there is more below.
We have now scanned more neural tissue at connectome resolution than the entire rest of the field, combined.
Our pipeline has three workstreams: scan the brain, learn how its wiring produces function, and run it as a living emulation. Here is where each stood a year ago, and where it stands now.
Our standing goal was 3 mm³ of mouse brain at a scalable cost, enough to show a whole mouse is feasible for roughly $20M. We passed it: 3.3 mm³ imaged at synapse resolution, over 3,000× the largest comparable published dataset, from samples 50 to 100× brighter than prior work.
Segmentation now runs about 30× faster than the next-best published pipeline, and this quarter we cut the gap to real-time reconstruction from ~80× to ~12×. Our in-house prototype scope points to a production unit near $5,700, roughly 100× cheaper than the $550K research microscope we use today.
Beyond the mouse, we have expanded and imaged monkey brain tissue, and this quarter received and began expanding the first human brain slice in our SF lab. Imaging it is next.


Last year we said we would record neurons firing and learn to predict their activity. This quarter our models reached about 73% accuracy predicting activity in cultured "microislands" they had never seen, drawn from more than 240 voltage-imaging recordings, 9 of them now paired with synapse-resolution structure.
In the fly, we already predict activity directly from the connectome at over 90% (Nature). Doing the same purely from structure in mammalian tissue is the hard problem we are working on now, and early results are promising.
We said we would put the fly in a body. We did. About 140,000 neurons and 50M synapses run in a physics-simulated body and drive five connectome-controlled behaviors: foraging, navigation, grooming, olfactory avoidance, and feeding. Across 164 predictions we could test, 150 matched experiment (Nature, 2024).
The full write-up is worth a look: how the Eon team produced a virtual embodied fly.
We have opened the Series A. The first $50M scans and uploads the first mouse, the first whole-mammal connectome, and opens a phased plan of about $300M to reach the first human.
We are raising on SAFEs now, about $2M in so far (at a $150M cap), ahead of the priced Series A. Checks are mostly $50 to $250K, with Capital Factory helping on introductions. Behind them, an estimated $15 to $25M of follow-on is waiting for a lead.
The round is gated on that lead. It is the single thing that would let us run at full speed through the most important stretch of Eon's history.
Eon Systems PBC founded
Nature: whole-fly-brain emulation
$3.3M seed, Apr 2025
More brain scanned than the rest of the world combined
~73% activity prediction on microislands
First human brain slice, expanding in SF
First fly upload, in Nature
First whole-mammal connectome, scanned and emulated
First research and pharma customers
First AI algorithms unlocked
First human connectome (also macaque)
Larger research and pharma subscriptions
Best AI algorithms unlocked
There is no risk of a cash crunch before the round closes. SAFEs are arriving, and I will personally bridge any gap. Capital in hand now simply means we never slow down.
Marginal cost per upload falls about an order of magnitude per hardware generation, the same curve that took genome sequencing from $100M to under $1,000.
The team nearly doubled to 11 this past year, adding rare talent across microscopy, data infrastructure, and modeling.




Our goals for the coming quarter, by workstream.
Move from single cubic millimeters toward the ~500 mm³ of a full mouse brain, and keep driving imaging cost down.
Extend the predictor beyond cultured networks, and grow the paired structure-plus-activity dataset.
Speed up the connectome simulation, and stand up the pipeline for a mouse-scale emulation.
Two things are on our minds this quarter, and there are four concrete ways you can help.
The round is gated on a lead investor, with $15 to $25M waiting behind one. Warm intros to deep-tech or frontier-science funds that can lead are the most useful thing right now.
Most investors we meet are not yet ready for "uploading"; it reads as far off, or too philosophical. The AI-and-algorithms framing is landing better. Your honest read on which story works helps us aim.
We would value 30 minutes to walk you through the deck and get your feedback before major investor meetings.
Follow and share @eonsys. And warm intros to the people we are hiring, below, are hugely helpful.
Warm intros are gold. What we are looking for:
The fly is done and published. This quarter we showed we can read activity from wiring, and passed the scanning goal we set a year ago. The mouse is next. Thank you for being part of it.