ON STRANGE ATTRACTORS

The companies that change everything always orbit strangely at first. Too technical. Too early. Too specific. We are drawn to them.

First checks The future of computing Scroll ↓
01 · ETHOS

We do field research, build to learn, and back conviction with the first check.

01
Go to the field

We embed in a domain until we understand it better than the consensus does. Conviction comes from evidence.

02
Build to learn

We prototype to understand. Often we are building alongside a founder long before there is a company to invest in.

03
Sleeves up

We do the work with you, not just showing up for the board meeting.

04
First believer

We like to be the first check and the first call. We move early, and we move with conviction.

02 · FOUNDERS

Why we invested.

We were the first to believe in every company here. This is what we saw, in their words and ours.

The Archetype AI founding team
Ivan Poupyrev, Brandon Barbello, Jamie Lien, Leonardo Giusti & Nick Gillian
Archetype AI ↗ PHYSICAL AI

"Strange was the first investor we spoke to. This was pre-physical AI, and she got our vision immediately."

BUILDING Newton, a foundation model for the physical world that runs agents in real-world environments. WHY WE INVESTED Ivan and the team were true pioneers of spatial computing, out of Google's ATAP group. They saw physical AI clearly while the world was still wrapping its head around LLMs. We wrote the first check on that conviction. LATEST $35M Series A and the launch of Newton Agents →
VideoDB ↗ INFRA

"An incredible partner to have on our side."

BUILDING Data infrastructure for real-time video, built for machines and agents. WHY WE INVESTED To build an AI-first product or organization, you have to build on AI-native infrastructure. 91% of the internet is video, but our primitives for video are still decades behind. VideoDB is the first to reinvent them, for agents, machines, and training data.
Ashutosh Trivedi, founder of VideoDB
Ashutosh Trivedi, Founder
The Multiply Labs team
Frederico Parietti, Founder, and the Multiply Labs team
Multiply Labs ↗ PHYSICAL AI

"A true thought partner who isn't afraid to roll up their sleeves and jump into standing meetings."

BUILDING Physical AI for life sciences. Multiply builds robotic clusters for biomanufacturing. WHY WE INVESTED As AI accelerates the design of drug discovery and advanced materials, the bottleneck becomes the ability to manufacture them. Multiply is a team of roboticists who set out to tackle the most complex, and highest-impact, challenge in industrial robotics. LATEST Featured by NVIDIA, scaling robotic cell-therapy biomanufacturing →
03 · PORTFOLIO

Companies in our orbit.

04 · MEDIA

The Strange Review

Field notes, essays, and dispatches from the edges of frontier tech.

Read the Review →
05 · COMMUNITY

Strange gatherings.

Salons, field trips, and dinners for the people building the strangest things. Just founders, researchers, and the occasional heretic.

A recent Strange dinner
06 · TEAM

Who you'll work with.

We keep the fund small and the work hands-on. The Strange Research Fellows are domain experts who go to the field with us — the people we build conviction alongside.

Tara Tan
Founder & Managing Partner
LinkedIn ↗
STRANGE RESEARCH FELLOWS CURRENT
Joy YangRobotics Mason Rodriguez RandAdvanced Materials & Manufacturing Rahul NarulaData Centers
ALUMNI
Kimi WenzelAgentic Experiences
Hessan SedaghatHumanoid Robots
Steven Song, Dr.Cybersecurity & Defense
Will EppersonSoftware & Agents
BUILDING SOMETHING STRANGE?

Tell us about the rabbit hole you're in.

No warm intro needed. Write to us directly. We read everything, and we move early.

hello@strangevc.com →