Milliomics — Investor Story

An AI-powered interactive ecosystem for spatial biology.

Spatial omics is generating biology's richest dataset of the decade. The bottleneck isn't the data anymore — it's the interpretation. We're closing the gap.

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Scene 01 · The Wave

Two curves. One growing gap.

Spatial omics technology has gone through five generations in 25 years. Our ability to interpret what it produces hasn't kept up.

The data is here. The interpretation isn't.

Scene 02 · The Problem

The bottleneck isn't the data anymore.
It's the interpretation.

Spatial omics is generating biology's richest dataset of the decade. Three barriers stand between that data and discovery.

Lack of interactive tools

Static figures and brittle scripts. Iteration is slow, exploration is painful, and most biology gets left on the cutting-room floor.

Coding is segregated from biology

Today's pipelines force biologists to be programmers. Insight gets lost in the context-switch between Python notebooks and tissue under the microscope.

Scalability limited to your device

Spatial datasets are now terabyte-class. A laptop can't open them, an HPC node is hard to reach, and analysis grinds to a halt the moment data outgrows local resources.

Three problems. Three pillars to fix them →

Scene 03 · Our Solutions

Three pillars. One ecosystem.

01 · SCIENCE FIRST

Science First

ROOTED IN BENCH NEEDS

We build real methods for the needs of bench scientists and educators. Our products include MilliMap, a code-free platform for 3D spatial omics analysis across multiple data formats; Neuroanatomy Adventure, a VR game for immersive neuroanatomy; and a growing library of scientifically rigorous methods co-developed with scientists and validated on real workflows.

02 · AI NATIVE

AI Native

AGENTIC AI · PREDICTIVE ML

We develop agentic AI tools for scientists working with complex spatial biology data. Millini is an AI-powered analysis agent that turns natural-language questions into reproducible, multi-step spatial analyses. Our predictive machine learning models forecast cellular response and perturbation outcomes, grounded in spatial, multi-omic, and temporal context.

03 · ENGINEERED FOR SCALE

Engineered for Scale

CLOUD-NATIVE · TB-CLASS

We develop high-performance, cloud-native infrastructure for spatial biology. MilliOmics is designed to make terabyte-class datasets interactive, collaborative, and analysis-ready, scaling from local workstations to distributed cloud environments to supercharge scientific discovery.

Three capabilities, deeply integrated — an ecosystem competitors can't catalog.

Scene 04 · Why Us

Two cliffs. One bridge.

Code and biology stand on opposite cliffs. Both are reaching across. We're the bridge that lets them meet — and discover.

Scene 05 · Underwater

Right now, our ideas are drowning.

Three tools. Lots of momentum. Not enough oxygen. Click each one to bring it to the surface.

0 of 3 saved
🌅 You saved our ideas. That's the kind of partnership we need.
Scene 06 · The World

From one lab to labs everywhere.

Drag a spark anywhere on the map. Watch biology light up where it lands.

Drag to deploy a new lab — interpretation lights up where you land.
3 labs reached
Scene 07 · The Ask

You just spent a few minutes here.
The opportunity is much bigger.

You've been here for
00:00:00
Live timer — counting since you launched this page
Ecosystem opportunity
$0B+
Spatial omics analysis & tooling, 2030 TAM

We're raising to staff the three pillars and accelerate distribution. Partner with us at the foundation.

Talk to us
Scene 08 · The Team

The people behind the ecosystem.

QF
Qianlu Feng
Founder · Neuroscience Methods Developer
University of Illinois Urbana-Champaign
Pillar 1 · Science
BQ
Brant Siyuan Qian
Performance Engineer
University of Illinois Urbana-Champaign
Pillar 3 · Engineered for Scale
LW
Jiaxin Lily Wan
ML / LLM Ambassador
University of Illinois Urbana-Champaign
Pillar 2 · AI Native
SA
Sarah Asif
Neuroscience Bench Scientist
University of Illinois Urbana-Champaign
Pillar 1 · Science

Bench scientists. Engineers. AI researchers. All in.