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Hummingbird AML

Hummingbird AML is an orchestration platform that brings automation and AI to risk and compliance for financial crime prevention.

Venture Funded$12MSeries ASusa VenturesAmplify Partners
anti-money launderingfinancial complianceAI risk detectionfraud prevention
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About

The vendor states that Hummingbird AML is a platform designed to deliver AI and automation at every step of compliance. It automates routine work, improves decision-making, and aims to scale team capacity. The platform offers solutions for screening customers and dispositioning alerts, monitoring capabilities on top of data warehouses, and tools for investigations. It also provides automated regulatory reporting technology for SARs, STRs, and CTRs. Hummingbird AML allows users to design workflows, automate repetitive tasks with a no-code platform, and offers AI tools to handle complex tasks, generate case insights, and write case findings. The platform unifies identity data, alerts, prior cases, and communications into a single interface, and connects to core banking systems, third-party data providers, and other tools through an apps ecosystem with over 50 different apps.

Read from hummingbird.co on 2026-08-26. We describe what the vendor states; we do not audit it.

Enterprise Readiness

from cataloged data
55/100 · Established
Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityPartial

Cloud-based: Cloud

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityStrong

Founded 2019 · Series A

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Activity classifier
Dormant
no commits or releases in 84 months
GitHub API2026-05-27
hummingbird-ai
SDK / client libraries· 0· active 7.2y ago
OSV vulnerability feed2026-08-24
No known advisories

Enterprise Use Cases

Automated AML transaction monitoring
Customer risk scoring and profiling
Regulatory reporting automation
Fraud detection and investigation
KYC data enrichment
Real-time compliance alerts

Integrations

SalesforceSnowflakeAWSAzureGoogle CloudSlackSplunkJira

How Hummingbird AML compares

ToolReadinessPricingDeploymentComplianceIntegrations
Hummingbird AML55 · EstablishedEnterpriseCloud8
AyasdiNot scoredEnterpriseCloud, On-Premise, Hybrid7
BehavoxNot scoredEnterpriseCloud, On-Premise, Hybrid7
Quantexa70 · StrongEnterpriseCloud, On-Premise, Hybrid8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Hummingbird AML used for?

Hummingbird AML is hummingbird AML is an orchestration platform that brings automation and AI to risk and compliance for financial crime prevention. It is commonly used for automated aml transaction monitoring, customer risk scoring and profiling, regulatory reporting automation, and fraud detection and investigation.

Is Hummingbird AML free, and how is it priced?

Hummingbird AML uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Hummingbird AML be deployed?

Hummingbird AML supports Cloud deployment. It is delivered as a cloud-hosted service.

What does Hummingbird AML integrate with?

Hummingbird AML documents 8 integrations, including Salesforce, Snowflake, AWS, Azure, Google Cloud, and Slack.

When was Hummingbird AML founded?

Hummingbird AML was founded in 2019 and has raised $12M in funding.

Is Hummingbird AML enterprise-ready?

Based on cataloged data, Hummingbird AML has an Enterprise Readiness score of 55/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise
DeploymentCloud
Founded2019
Funding$12M

Procurement

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