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Trusted content decisions for workplace review platforms, powered by AI

The AI moderation platform to protect review authenticity, enforce community guidelines, and stay DSA and OSA compliant across reviews, forums, salary data, and employer profiles.

  • Detect and block AI-generated fake reviews before they erode user trust.

  • Enforce consistent policies across reviews, forums, and interview content.

  • Stay DSA and OSA audit-ready with automated transparency logs and appeals.

THE CHALLENGE

Authentic reviews under pressure

Workplace review platforms face converging threats. Synthetic fake reviews are flooding employer pages, eroding the data job seekers and enterprise clients rely on. Regulators demand granular transparency under the DSA and UK OSA. And every moderation decision must be defensible, auditable, and fast.

Synthetic Reviews

AI-generated reviews bypass legacy filters, distort employer ratings, and erode the authentic workplace data your users rely on.

Anonymity at Risk

Legal subpoenas and identity integrations test your anonymity promise. Forced disclosures chill the authentic reviews users depend on.

Regulatory Crossfire

DSA statements of reason, UK OSA risk assessments, and international defamation exposure demand purpose-built compliance infrastructure.

How Checkstep solves this

Our platform gives workplace review sites the infrastructure to protect review integrity, enforce guidelines, and meet global regulatory mandates.

Review integrity

Detect synthetic and coordinated fake reviews across employer pages, salary reports, and community forums.

AI detection

Multimodal AI that scans text, photos, and links across reviews, forums, and profiles to catch policy violations.

Workflow automation

Route flagged content between automated actions and human analysts with built-in reviewer shielding.

Compliance reporting

DSA statements of reason, OSA-ready risk reports, and audit-ready transparency logs generated automatically.

Trusted by review platforms

90%
Automated moderation, freeing human reviewers for nuanced edge cases.
93–99%
Precision rates across content categories, keeping false positives low.
80%
Automation of moderation tasks with centralized appeals and compliance.

"Checkstep’s solution has allowed us to rapidly scale a system that helps us to pinpoint major abuse vectors and address them quickly."

Trust & Safety Director
Global Platform
Phillipe Pisani

Why not build in-house?

"We built our own NLP stack"

Legacy NLP pipelines struggle against LLM-generated fake reviews and coordinated manipulation. We detect what legacy filters miss or complement your stack with evolving synthetic content detection.

"Trust and Safety is 'core'"

It is. But maintaining synthetic text detectors, compliance databases, and DSA reporting engines is infrastructure, not policy. Free your engineers to focus on community features and review integrity.

"We need data control"

Checkstep is API-first and whitelabel. Your review data, your moderation policies, and your final decisions stay yours. We provide the detection engine and compliance infrastructure.

Faster Deployment

Go live in weeks with pre-trained models for review fraud, synthetic text, and safety.

Lower OpEx

Reduce moderation infrastructure and outsourcing costs by up to 80% compared to in-house builds.

Regulatory Peace of Mind

Stay ahead of DSA, OSA, and global privacy mandates without continuous engineering rebuilds.

Protect review integrity and stay audit-ready at scale

Join leading workplace platforms in professionalizing their Trust and Safety and compliance operations.

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