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Companies / Omilia

Omilia tech stack

omilia.com

Omilia provides a self-learning AI platform for customer service, including voice and chat agents, authentication, and agent assistance tools. It serves industries such as finance, insurance, utilities, retail, automotive, travel, healthcare, government, and quick service restaurants.

Summarized from its homepage on 10 Nov 2026.

Classified asAI and machine learningCustomer support

The Omilia homepage

Vendors of Omilia and the evidence for each

Omilia declares 10 subprocessors.

VendorCategoryEvidenceLevel
Google WorkspaceProductivityConfirmed
Subprocessor listProcesses data for the company10 Nov 2026Source
Websitemx: aspmx.l.google.com.10 Nov 2026Source
Companies using Google Workspace
Amazon Web ServicesCloud and infrastructureConfirmed
Subprocessor listNamed as AWS · Processes data for the company10 Nov 2026Source
Companies using Amazon Web Services
AtlassianProductivityConfirmed
Subprocessor listProcesses data for the company10 Nov 2026Source
Companies using Atlassian
Check PointConfirmed
Subprocessor listProcesses data for the company10 Nov 2026Source
DatadogObservabilityConfirmed
Subprocessor listProcesses data for the company10 Nov 2026Source
Companies using Datadog
Microsoft AzureCloud and infrastructureConfirmed
Subprocessor listProcesses data for the company10 Nov 2026Source
Companies using Microsoft Azure
ObserveObservabilityConfirmed
Subprocessor listProcesses data for the company10 Nov 2026Source
Companies using Observe
SlackProductivityConfirmed
Subprocessor listProcesses data for the company10 Nov 2026Source
Companies using Slack
SnowflakeDataConfirmed
Subprocessor listProcesses data for the company10 Nov 2026Source
Companies using Snowflake
TransUnionSecurity and identityConfirmed
Subprocessor listProcesses data for the company10 Nov 2026Source
Companies using TransUnion

4 more vendors

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Vendor's own statement, retrieved from the source URL on the date shown. StrataDB does not verify the underlying claim. Data sources.

See Omilia's full stack

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