Q2 2026
The quarter in brief
We passed our 3 mm³ scanning goal.
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.
The structure-to-function model we set out to build works.
It predicts neuron activity from structure at about 70% accuracy on cultured networks it has never seen. In the fly, we already predict activity from the connectome at over 90% (published in Nature).
The embodied fly we promised is done, and published in Nature.
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.
We opened the Series A.
$50M to scan and upload the first mouse, the opening tranche of a phased ~$300M plan to reach the first human.
The one thing that would unlock the round is a lead investor.
About $15 to $25M of follow-on is waiting behind a lead. That is where you can most help, and there is more below.
By the numbers
We have now scanned more neural tissue at connectome resolution than the entire rest of the field, combined.
What we built this quarter
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.
We passed the 3 mm³ goal
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 our in-house prototype scope points to a production unit near $5,700, roughly 100× cheaper than the $550K research microscope we use today.
The predictor we set out to build works
Last year we said we would record neurons firing and train a model to predict their activity from structure alone. This quarter that model reached about 70% accuracy on cultured "microislands" it 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 on mammalian tissue is the work now in front of us.
The fly we promised, published in Nature
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.
The round
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.
New SAFEs keep closing, mostly $50 to $250K checks, 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
~70% activity prediction on microislands
~100× cheaper microscope path
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
Financials & economics
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.
Team
The team nearly doubled to 11 this past year, adding rare talent across microscopy, data infrastructure, and modeling.
What's next
Our goals for the coming quarter, by workstream.
Structure: start scaling toward the whole mouse.
Move from single cubic millimeters toward the ~500 mm³ of a full mouse brain, and keep driving imaging cost down.
Function: take structure-to-function onto real mammalian tissue.
Extend the predictor beyond cultured networks, and grow the paired structure-plus-activity dataset.
Emulation: push the fly toward real-time, and prepare for the mouse.
Speed up the connectome simulation, and stand up the pipeline for a mouse-scale emulation.
How you can help
Two things are on our minds this quarter, and there are four concrete ways you can help.
Introduce us to a lead
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.
Tell us which framing lands
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.
Take a practice pitch
We would value 30 minutes to walk you through the deck and get your feedback before major investor meetings.
Hiring and amplification
Intros to senior microscopy, ML, and connectomics people as we scale toward the mouse. And follow or share @eonsys.
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.
Founder & CEO, Eon Systems PBC