Deep Labs

Name: Deep Labs
Brand: Deep Labs

The leader in Large Signal Model (LSM) technology.

Est 2016|Valuation $160M|Raised $44.3M|12 Ref Customers

LinkedIn 3K|Website|FTEs 64|HQ San Francisco, California, US

MarketsFraud Detection

01Competitive Landscape

Narrative analysis

Differentiators (vendor-presented):

Deep Labs emphasizes persona-based intelligence and LSM as core framing, with outputs that include knowledge graphs and interpretive artifacts.
Feedzai is positioned as an end-to-end financial crime suite with publicized vendor metrics.
Featurespace is known for ARIC's behavioral analytics approach focused on out-of-character behavior.

Where alternatives may provide advantages:

Vendors with extensive public references and analyst coverage may be easier to validate during procurement.
Platforms focused on e-commerce fraud (e.g., Sift) may offer faster time-to-value and more packaged integrations for consumer-facing commerce flows.

Differentiators (vendor-presented): - Deep Labs emphasizes persona-based intelligence and LSM as core framing, with outputs that include knowledge graphs and interpretive artifacts. - Feedzai is positioned as an end-to-end financial crime suite with publicized vendor metrics. - Featurespace is known for ARIC's behavioral analytics approach focused on out-of-character behavior. Where alternatives may provide advantages: - Vendors with extensive public references and analyst coverage may be easier to validate during procurement. - Platforms focused on e-commerce fraud (e.g., Sift) may offer faster time-to-value and more packaged integrations for consumer-facing commerce flows.

	Deep Labs (DeepDecision)	Feedzai	Featurespace (ARIC Risk Hub)
Starting Price	Not publicly disclosed (quote-based)	Not publicly disclosed (enterprise quote-based)	Not publicly disclosed (enterprise quote-based)
Primary use cases	Regulated organizations requiring threat actor detection, persona/graph modeling, and on-prem/hybrid deployment	Banks and financial institutions seeking an end-to-end fraud and AML platform	Banks and payment processors requiring real-time behavioral analytics for fraud/AML
Key strength	Persona-based intelligence and LSM framing; deployment flexibility (on-prem/SaaS/hybrid)	Broad financial-crime lifecycle coverage and extensive published vendor metrics	Recognized approach for behavioral analytics and deviation detection in real time
Key weakness	Limited public third-party reviews and limited public security/compliance detail	Complexity and cost typical of broad enterprise suites	Pricing transparency and enterprise deployment complexity