# Deep Labs

Deep Labs is an Asset Manager based in San Francisco, United States.

## Overview

- **Organization type:** Asset Manager
- **Headquarters:** San Francisco, United States
- **Region:** North America
- **Address:** San Francisco, CA, United States
- **Founded:** 2016
- **Assets under management:** Undisclosed
- **Website:** deeplabs.info
- **LinkedIn:** https://www.linkedin.com/company/deep-labs

## Regulatory record

- **Reports private funds:** No

## About

Deep Labs is a company based in San Francisco, California, founded in 2016. It specializes in AI/ML technology, focusing on large language models. Deep Labs offers generative AI for machine-to-machine messaging and predictive decision-making, serving sectors including finance, government, and retail with data science and behavioral modeling capabilities.

## Sectors

- Cybersecurity
- AI/ML
- Enterprise Software
- FinTech

## People

- Scott Edington — CEO

## Questions

### Who runs product and technology strategy at Deep Labs?

CEO Scott Edington, a former Visa SVP of Global Solution Architecture, leads the firm. Before Visa, Edington held senior technology roles in the US intelligence community. The engineering and data science leadership draws from federal law enforcement, financial crime analytics and quantitative risk modeling backgrounds. Day-to-day technical architecture is managed by a distributed team spanning San Francisco, London and Manila.

### Has Deep Labs' technology been validated by any independent government body?

Yes. In 2019 the US Department of Homeland Security's Silicon Valley Innovation Program awarded Deep Labs a contract to test its behavioral biometrics for border security and airport credentialing use cases. DHS structured the procurement under Other Transaction Authority, which requires a demonstration phase before broader deployment — the company completed that initial phase successfully (per DHS SVIP records, 2019).

### What is Deep Labs' relationship with LexisNexis Risk Solutions?

In August 2021, Deep Labs announced a partnership to integrate its behavioral intelligence engine into the LexisNexis Risk Solutions stack, specifically the ThreatMetrix digital identity and fraud analytics platform. The deal made Deep Labs' persona-based scoring available to LexisNexis's customer base of financial institutions, e-commerce players and government agencies. It effectively positioned Deep Labs as an embedded capability inside a much larger distribution channel rather than a standalone authentication vendor.

### Is Deep Labs a security software vendor or does it operate as a data and analytics company?

Deep Labs functions primarily as an analytics and decisioning layer, not a traditional software vendor. Its core asset is the persona-based scoring model and the data pipeline that feeds it, which can be delivered via API into an institution's existing authentication flow. The partnership model with companies like LexisNexis reinforces this posture — the firm white-labels its intelligence rather than requiring customers to deploy a separate end-user application.

## Related profiles

- [Dorset Management Corporation](https://altss.com/profile/dorset-management-corporation)

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Last updated: 2026-06-03T20:00:00.000Z

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