We build for
understanding.
Financial products are built to record transactions. We build the understanding of the people behind them.
Access is solved.
Understanding is next.
Across many spending, investment, and crypto products, access is widely available. The rails exist and the data flows. Understanding is the next layer, knowing what the behavior means: what is routine for this person, what is changing, and what they can absorb.
We work through fintech products, not around them. They own the relationship. They make the call. We give them the understanding to make a more informed one, without needing a dedicated research function of their own.
Three lines
we hold.
The operating rules that shape every signal we return.
Behavior is read through context, timing, and constraint before a product acts on it. Patterns are signals to understand, not conclusions to enforce.
If context is incomplete, we say so. If a pattern is uncertain, we show the uncertainty. Cleaner-looking outputs are not worth weaker signal integrity.
In regulated environments, unexplainable outputs create liability. Signals are grounded in observable evidence, with reasoning a compliance team can review.
Why we are
building this.
I have spent thirty years building regulated financial infrastructure across capital markets, consumer finance, and fintech. Over that time, financial systems became extraordinarily good at access. Money can move across borders in seconds in many corridors. Open banking connected accounts. Investing went mobile. Financial data became abundant.
Something was still missing.
I would open five financial apps and still feel misunderstood by all of them. They could show balances, transactions, charts, categories, projections. They could not tell the difference between a temporary spike and a real shift. Between hesitation and readiness. Between someone forming a new pattern and someone losing an old one.
That is not an access problem. It is an understanding gap.
The financial system spent decades building the infrastructure to move money. Very few companies built the infrastructure to help financial products understand what their users are actually doing. That is why we are building Neumetria.
Not to replace financial products. Not to talk to users. To give the products the layer underneath them: behavioral understanding, ongoing interpretation, the timing signals they need to engage with clarity instead of incomplete context.
Because financial products often do not need more user data. They need to understand the context behind it. The people who use them deserve products that can recognize them, not just process them.
People who know
these markets from the inside.
Glen Dailey
Managing Member, Glen Capital Management
Founded Jefferies Prime Brokerage in 2006 and Banc of America Prime Brokerage in 1995, leading each for over a decade. Thirty years building institutional prime brokerage at the largest desks in the industry. Advises on distribution and market structure.
LinkedInAhmad Hamzawi
Head of Facebook Monetization, Meta
Leads Facebook Monetization at Meta. Built marketplace pricing systems at Uber and led engineering across Google AdSense, AdWords, and DoubleClick over ten years. Advises on product economics and monetization model design.
LinkedInRt Hon Kwasi Kwarteng
Former UK Chancellor of the Exchequer
Former Chancellor of the Exchequer and Secretary of State for Business, Energy and Industrial Strategy. Provides firsthand perspective on how financial regulation is made and where the fault lines sit across UK and European markets.
LinkedInDr. Thomas Oberlechner
Founder, BehaviorQuant
Founder of BehaviorQuant, where behavioral science and AI serve wealth advisors, investment teams, and allocators. Research and teaching across Harvard, MIT, the University of Cologne, and the University of Vienna. Advises Neumetria on grounding its behavioral methodology in established science.
LinkedInWant to work on this?
We are hiring and raising. The careers page is short and written by the people doing the work; investors can write to us directly.