About Ethyca

At Ethyca, we know trust isn’t just given; it must be earned. We exist to help teams build respectful systems, and in so doing, restore user trust in the internet. Our purpose is to make trust and privacy the default for humanity.

.jpg?rect=1,0,3022,4032&w=320&h=427&auto=format)

“The possibilities afforded by Fides developer tools are astonishing.”
— The International Association of Privacy Professionals (IAPP)

Vision

The world's most trusted technology company

Our vision is to be the world’s most trusted technology company, and the reason business itself is more trusted.

Trust is the bedrock of modern business. Without it, innovation stalls, relationships break, and progress slows. Ethyca is redefining what it means to be a trusted technology company. Not just by meeting regulatory requirements, but by reshaping how businesses interact with data. We envision a future where every organization operates with transparency, accountability, and security at its core. By aspiring to be the most trusted technology company, we are not just aiming for excellence in our products; we’re redefining what it means to be trustworthy in technology. We’re committing to transparency, integrity, and reliability, ensuring that our technology empowers people rather than exploits them. And when we achieve this, we won’t just elevate our own standing, we’ll raise the bar for the entire industry.

Ethyca by the Years

2018

Turning GDPR into Code Ethyca was founded to operationalize GDPR as code, launching its first platform for automated privacy requests. Traction came from DTC brands and a $4.2M seed round.

2021

Open Source Foundation Ethyca released Fides 1.0, the world’s first open source privacy engineering toolkit, moving from a SaaS model to developer infrastructure, backed by a $13.5M Series A.

2022

New GRC Capabilities Fides 2.0 introduced a visual UI and enterprise features to serve governance and security teams, driving broader adoption across industries and landing flagship clients.

2023

The Enterprise Platform With Janus and new service capabilities, Ethyca matured into a platform company, delivering consent and privacy automation to large-scale enterprise environments.

2024

The Trusted Data Layer Helios and Astralis extended Ethyca’s stack to detection and enforcement, powering trusted data for AI and securing major new client wins.

2025

Enterprise Scaling With proven tech, top-tier clients, and a full GTM team, Ethyca scales into the market, delivering the trusted data layer to the world’s most advanced organizations.

Mission

Engineering the trusted data layer

Our mission is to become the trusted data layer for enterprise and AI—unifying privacy, governance, and policy enforcement to make AI adoption safe and scalable.

Ethyca was founded to build the trusted data layer for enterprise and AI: where privacy, governance, and policy enforcement are integrated directly into systems, not bolted on after the fact. As AI adoption accelerates, the stakes for responsible data use grow exponentially. Organizations need more than guidelines. They need data infrastructure that turns policy into practice, automatically and at scale.

Trust in AI requires a unified approach that connects legal obligations to technical enforcement in real time. Without it, enterprises risk moving fast with no way to prove compliance or prevent harm. Ethyca exists to close that gap, making safe and scalable AI operational.

.jpg?rect=0,4,4901,3262&w=320&h=213&auto=format)

Leadership

The people powering the future of privacy and AI.

Cillian Kieran
Founder & Chief Executive Officer

Ethan Lo
Chief Architect

Kelsey Thomas
VP of Engineering

Julie Brill
Board Director

Daniel Weitzner
Board Member

The five features for trusted data

↳ Ontology & taxonomy

01
Model and enforce data policies using a unified privacy taxonomy, enabling consistent consent, classification, and governance across complex systems.
Fides | View on Github

↳ Data intelligence

02
Map and classify sensitive data at scale with precision, enabling always-on visibility and regulatory alignment across systems, environments, and third-party vendors.
Helios

↳ Consent orchestration

03
Enforce real-time user preferences with determinism—apply consent signals across systems instantly and revoke access dynamically when permissions change or expire.
Janus

↳ Automated DSR

04
Automate subject rights requests end to end, with intelligent routing, data resolution, and policy-driven response logic. No more manual reviews or audit gaps.
Lethe

↳ AI usage controls

05
Make privacy rules executable by design in AI systems. Fides translates legal obligations into enforceable policies applied across training, inference, and model governance.
Astralis