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Trusted data infrastructure for AI-driven enterprises
Governs the data your AI depends on, at the scale and speed of modern engineering.
The Data Trust Gap
AI moves at the speed of data,but governance doesn't
AI is not limited by model performance. It’s limited by your ability to govern data that models rely on: across distributed pipelines and systems. AI consumes data constantly, at high speed. Without enforcement built into the data itself, trust becomes the bottleneck. This is the Data Trust Gap and it’s the core blocker to safe, scalable business innovation in AI. Here is what the Data Trust Gap looks like in practice:
Access approvals in slow, manual assessments
01Requests stall in ticket queues, with no visibility or context, slowing teams and increasing risk of unauthorized exposure. Manual reviews increase errors, frustrate employees, and increase the risk of access-related incidents.
Privacy policies in spreadsheets
02Static spreadsheets lack system context, drift out of date fast, and fail to scale with real-time processing or regulatory changes. Outdated policies expose the business to fines and audit failures.
Consent in disconnected tools
03Consent signals are scattered across UIs, causing sync failures, compliance gaps, and poor user experience at key touchpoints. Broken data privacy workflows erode customer trust and slow AI rollouts.
How it works
Our platform
Ethyca powers real-time, data-driven insights and intelligence for critical enterprise applications from financial services, to global communications, healthcare and consumer technology.
Taxonomy
Fides
1 | Structure all of your data
Fides
Open source taxonomy & ontology
Fides is the open-source policy language and ontology that standardizes global privacy and AI governance, enabling legal and engineering teams to model requirements in one unified framework.
Intelligent context
Helios
2 | Know all of your data
Helios
Data discovery, classification & catalogue
Helios automatically maps, classifies, and catalogs your data, creating a reliable, real-time context layer that powers governance, insight, and decision-making across the enterprise.
Consent
Janus
3 | Know what you can use your data for
Janus
Consent & preference orchestration
Janus automates the enforcement of user preferences and legal basis across every touchpoint, ensuring consent is respected from capture to downstream activation across data processing.
Privacy Requests
Lethe
4 | Modify data in response to a request
Lethe
Automated DSR, de-identification & retention
Lethe orchestrates data deletion, retention, and subject requests across your stack, automating the policies that make data safe to use.
Automation
Astralis
5 | Build policies for your data
Astralis
AI data input & usage controls
Astralis governs AI model inputs and usage in real time, enforcing policy-aware boundaries on the data, context, and conditions under which AI can operate.
Unlock value from datain regulated industries
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Our solution
Fixing the data trust gapand the AI bottleneck
AI initiatives stall not because the models fail, but because the data isn’t governed well enough to trust at scale. Legacy governance systems weren’t built for real-time inference, distributed pipelines, or consent-aware training data. With Ethyca, trust does not come from documents. It comes from infrastructure. Discover our infrastructure below, or jump straight into our open source documentation.
Preferences processed annually
Processed access requests
Brand customers
Saved by automation