Juniper
Techstars '25Ann Arbor, US · 2 known investors
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A company applying artificial intelligence and behavioral sciences to conversation analysis and organizational listening. The platform is designed to extract authentic insights from interviews and conversations by incorporating established behavior-change methodologies.
Also known as Latent Variables
Founders & leadership

Investors · 2
How we know: open dataset · 5k.vc investor directory · Not right? Tell us
How we know: the Techstars portfolio · open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · open dataset · 5k.vc investor directory · Not right? Tell us
Company profile
researched Sep 2026Juniper, presenting itself under the name Latent Variables, is an applied research lab developing agentic systems aimed at organizational change. The lab describes roughly two years of work on a single question: what it means for an organization to change, and how thousands of people, decisions, incentives and routines move from one state to another. Its founders state that designing a transformation proved far easier than understanding what happened once that transformation met the organization, and that no existing technology provided a faithful "navigation system" for the organization as a living system — so they set out to build one.
The lab positions its work at the intersection of behavioral science and artificial intelligence, combining researchers and engineers and stating an intent to study organizational change over the long term and convert those findings into technology that leaders can use. Its stated mission is to help organizations change without operating blind and while keeping people central to the process. Internal records additionally describe the platform as applying AI and behavioral sciences to conversation analysis and organizational listening, extracting insights from interviews using established behavior-change methodologies.
Founding story
The lab was founded by Hector Benitez Ventura, Yashraj Patel and Noah Alexander, who spent about two years working on how organizations change. Unable to find technology that could faithfully map how change moves through an organization once deployed, they decided to build it themselves, framing the effort as increasingly urgent because the pace at which change is created is outstripping institutions' capacity to absorb it.
Traction
The lab reports approximately two years of research on organizational change and a small team of researchers and engineers; no customer or revenue figures are disclosed.
▸Full profile — market position, technology, go-to-market, geography
Market position
Self-described applied research lab operating at the frontier of behavioral science and artificial intelligence, stating it is supported by leading investors.
Technology
The lab develops agentic systems for organizational change, drawing on behavioral science and artificial intelligence. Founders' prior work is described as including pioneering behavioral digital twins, coining the term "In Agentis", and building award-winning artificial intelligence systems for complex hospital systems.
Go-to-market
Organizational leaders and partner institutions undergoing transformation, where the lab's systems inform consequential decisions.
Geography
The team describes itself as a small team based in San Francisco; internal records list Ann Arbor, US as headquarters.
Compiled by commissioned research from 9 cited public sources — announcements, filings, and press listed under research sources below.
▸Research sources · 9
primary sources listed
- Juniperjuniper.tech · web
9 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Juniper do?
- Applied research lab building agentic AI systems, grounded in behavioral science, to help organizations navigate change.
- Who founded Juniper?
- Juniper was founded by Noah Alexander.
- Who are Juniper's investors?
- Juniper's investors include Dorm Room, Techstars.
- Where is Juniper headquartered?
- Juniper is headquartered in Ann Arbor, US.


