Inth

Competitive Intelligence & Product Roadmap

Developer-native consent infrastructure for web teams.

Company Overview

Inth is a privacy infrastructure company that gives developers code-controlled consent, policy packs, and consent-aware script loading. It serves engineering-led web teams using React, Next.js, and edge runtimes.

Latest Intel

Zeitgeist tracks private signals to determine where the company is heading strategically.

What They're Building

The company's public product roadmap & what they're committed to building.

c15t 2.0

The core open-source consent runtime now centers on policy-driven consent, backend v2, migration tooling, dev tools, and Apache 2.0 licensing.

Hosted Inth Infrastructure

The hosted layer adds global consent storage, geo-aware policy resolution, usage billing, and managed operations for teams that do not want to self-host.

Policy Packs & GPC

Policy packs, fallback policies, per-policy Global Privacy Control, and policy inspection move the product closer to a privacy control plane.

Consent-Aware Script Loader

Version 2.1 added a registry-backed provider system for analytics, ads, pixels, tag managers, and functional tools.

DSAR Infrastructure

The early dsar repository points to a broader push into programmatic privacy operations beyond cookie consent.

Competitors

OneTrust:

A legacy CMP and privacy suite that Inth positions against on speed and developer control.

Cookiebot:

A consent platform that competes on cookie compliance workflows, while Inth focuses on code-owned runtime behavior.

TrustArc:

A privacy management provider that serves larger compliance teams, while Inth starts with developer infrastructure.

Usercentrics:

A consent management platform with broader CMP coverage, while Inth leans into open source adoption and modern web stacks.

Inth

's Moat:

The candidate moat is open-source distribution plus technical infrastructure, if c15t becomes the default consent runtime for modern web teams.

How They're Leveraging AI

AI Use Overview:

No clear AI/ML differentiation.

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