Executive Summary

Product and design teams at mid-to-large enterprises are increasingly responsible for preventing content that can retraumatize users, but they lack fast, contextual tools that fit into design workflows; this creates operational risk, brand harm, and legal exposure across organizations that together represent roughly 400,000 enterprise customers. Current workflows rely on ad-hoc reviews, reactive takedowns, or rigid rule engines that miss nuance, so safety, legal, and product owners spend disproportionate time on after-the-fact remediation rather than preventing harm pre-publish. The product would be a designer-facing, pre-publish alert system that integrates into Figma, CMSs, and design systems to flag potential trauma triggers using modern semantic models, score severity, provide concise rationale and recommended rewrites, and expose an auditable policy engine and API for enterprise governance. It would prioritize low-friction UX for designers (inline highlights, one-click suggestions), support bulk auditing of content repositories, and provide explainability and human-in-the-loop review queues to manage liability and reduce false positives. This is an attractive moment: a $4.8B addressable market (400,000 enterprises at a $12K ACV) with a market score of 88/100 and revenue potential assessed at 86/100, driven by improving LLM semantic understanding, consolidation of content governance pipelines, and growing accessibility and inclusion mandates that increase buyer urgency. Enterprises are centralizing publishing and will pay for pre-publish safety checks that reduce brand and compliance risk if the solution demonstrates reliable precision and clear policy controls. To stand out you must deliver superior precision and explainability, deep integrations into designers’ daily tools, and a curator-reviewed dataset and policy templates tailored to industry verticals; these are realistic strengths but require investment in data, tooling for customization, and enterprise security to win deals. Expect medium competition from incumbent content-governance vendors and emerging ML startups, and be candid that challenges include managing cultural/contextual nuance, avoiding overblocking, and proving ROI to risk-averse procurement teams.

Market Opportunity

Flag trauma risks in copy — automated, designer-facing content alerts targets a $4.8B = 400,000 enterprises x $12K ACV (global enterprise content-governance & safety segment) total addressable market with medium saturation and a year-over-year growth rate of 18% — enterprise content governance and AI-safety tool adoption.

Key trends driving demand: AI semantic understanding -- modern LLMs can detect nuance and contextual triggers previously missed by rule-only systems; Content governance consolidation -- orgs centralize publishing pipelines and want pre-publish safety checks; Accessibility & inclusion mandates -- growing legal/industry pressure to design inclusive, non-harmful experiences; Mental-health awareness -- product teams prioritize reducing re-traumatization to protect users and brand.

Key competitors include Acrolinx, Grammarly Business, Spectrum Labs, Deque Systems, Manual review / content consultants (workaround).

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Flag trauma risks in copy — automated, designer-facing content alerts

Executive Summary

Market Validation

Market Opportunity

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