Heka Global

Name: Heka Global
Brand: Heka Global

AI Native

Trusted Web Intelligence for Financial Services

Est 2021|Raised $14M

LinkedIn 3K|Website|FTEs 38|HQ New York, New York, US

MarketsFraud Detection

01Competitive Landscape

Narrative comparison and differentiation

Where Heka appears differentiated: - Heka focuses on extracting public web signals in near real-time and returning evidence links, which is specifically relevant to pensions tracing and investigative workflows. Where competitors may be stronger: - Socure: Broader identity verification brand recognition and depth in identity graph capabilities; likely stronger in standardized IDV workflows. - Sift: Broader adoption in e-commerce/marketplace fraud prevention and more established tooling for fraud operations. - Sardine: Positions as a broader risk platform spanning fraud, AML, and compliance controls. Procurement reality: - Many institutions already use bureau data, IDV vendors, and fraud platforms. Heka is most plausibly purchased as a complementary enrichment layer or a specialized tracing/investigation capability.

Market share and adoption trends

No authoritative market share numbers were found for Heka. Public statements and reported partnerships indicate a growth focus in the US/UK/EU, but this does not equate to broad adoption.

	Heka Global	Socure	Sift
Starting Price	Not public (enterprise contract likely)	Not public (enterprise)	Not public (enterprise)
Primary use cases	Banks/pensions needing web intelligence and traceable source-linked outputs for identity context, fraud, and tracing	Organizations prioritizing identity verification and identity graph depth	Digital businesses needing fraud prevention decisioning across account takeover and payment abuse
Key Strength	Public web contextual identity signals and emphasis on source-linked outputs designed to support audit processes	Large-scale identity data/graph and established identity verification workflows	Mature fraud ops tooling and networked fraud intelligence
Key Weakness	Limited public third-party reviews; public web approach may raise governance and fairness concerns	Can be complex/expensive; potential perception of limited explainability depending on implementation	May be less focused on pensions/lost-member tracing; enterprise cost/implementation burden

01Competitive Landscape

Narrative comparison and differentiation

Where Heka appears differentiated:

Heka focuses on extracting public web signals in near real-time and returning evidence links, which is specifically relevant to pensions tracing and investigative workflows.

Where competitors may be stronger:

Socure: Broader identity verification brand recognition and depth in identity graph capabilities; likely stronger in standardized IDV workflows.
Sift: Broader adoption in e-commerce/marketplace fraud prevention and more established tooling for fraud operations.
Sardine: Positions as a broader risk platform spanning fraud, AML, and compliance controls.

Procurement reality:

Many institutions already use bureau data, IDV vendors, and fraud platforms. Heka is most plausibly purchased as a complementary enrichment layer or a specialized tracing/investigation capability.

Market share and adoption trends

No authoritative market share numbers were found for Heka. Public statements and reported partnerships indicate a growth focus in the US/UK/EU, but this does not equate to broad adoption.

	Heka Global	Socure	Sift
Starting Price	Not public (enterprise contract likely)	Not public (enterprise)	Not public (enterprise)
Primary use cases	Banks/pensions needing web intelligence and traceable source-linked outputs for identity context, fraud, and tracing	Organizations prioritizing identity verification and identity graph depth	Digital businesses needing fraud prevention decisioning across account takeover and payment abuse
Key Strength	Public web contextual identity signals and emphasis on source-linked outputs designed to support audit processes	Large-scale identity data/graph and established identity verification workflows	Mature fraud ops tooling and networked fraud intelligence
Key Weakness	Limited public third-party reviews; public web approach may raise governance and fairness concerns	Can be complex/expensive; potential perception of limited explainability depending on implementation	May be less focused on pensions/lost-member tracing; enterprise cost/implementation burden