Cinder GTM brain

Cinder sells AI-supported trust and safety operations, moderation and abuse investigation infrastructure to digital platforms and AI companies.

category

Trust and safety operations and AI safety

market profile

  • text: Digital platforms and AI products face rising volumes of abuse and need policy enforcement across automated and human review.
  • text: Trust and safety operations increasingly combine AI agents, investigations, review and quality assurance.

personas

  • title: Head of Trust and Safety
    pains:
    • Moderation queues grow faster than reviewer capacity
    • Policy decisions need consistency, quality measurement and escalation
  • title: AI safety or responsible AI lead
    pains:
    • Measuring prompt and output safety as models and products change
    • Translating red-team findings into enforceable safeguards
  • title: Fraud and abuse operations leader
    pains:
    • Investigations span multiple signals and user histories
    • Coordinated abuse and account manipulation overwhelm fragmented tools

icp

  • text: AI labs and generative AI products releasing or operating models at meaningful scale; company size is not specified.
  • text: Marketplaces, social and creator platforms with user-generated content, safety policies and operational review teams.

message pillars

  • text: Protect platforms against abuse at scale.
  • text: Turn policies into operational decisions.
  • text: Keep human oversight on difficult cases.

objections

  • objection: Can automated moderation reflect our policies and nuanced cases?
    response: Evaluate custom workflows on a representative labeled sample and inspect escalation and override behavior.
  • objection: Will we lose control over important decisions?
    response: Cinder describes audit, challenge and override controls and human escalation; validate them in a pilot.
  • objection: Will it fit our existing safety operation?
    response: Map the current queue, data access, review and integration requirements with the team in a demo.

competitors

  • name: Alice (formerly ActiveFence)
    why: Trust and safety intelligence, moderation and AI safety overlap.
  • name: Checkstep
    website: https://www.checkstep.com/blog/best-content-moderation-companies-tools-software
    why: Competes in content moderation and trust and safety workflows.
  • name: Hive
    why: Moderation models and APIs overlap with automated classification.

influencers

  • name: Glen Wise
    url: https://www.eomag.io/article/cinder-glen-wise
    why: Co-founder and CEO discussing AI safety and platform abuse.

keywords

  • trust and safety platform
  • AI content moderation workflows
  • AI safety guardrails
  • moderation case management
  • abuse investigation software
  • human in the loop moderation
  • AI red teaming platform

voice

  • urgent and mission driven
  • technical
  • direct

signals

  • text: An AI company is launching a new model or deploying AI agents and needs safety evaluations.
  • text: A marketplace is expanding moderation operations or confronting a rising abuse queue.

pricing

model: unknown

motion

sales_led

channels

  • LinkedIn
  • events
  • case studies
  • SEO

confidence

high

Founders

  • name: Glen Wise
    title: Founder
    role: Founder
    bio: ex-USG ex-Meta After graduating from Carnegie Mellon, Glen joined Facebook as a security engineer to lead the build out of their community threat intelligence platform, working directly with Phil Brennan for over 3 years. Glen started Cinder in 2021 to help other companies solve similar trust and safety problems.
  • name: Phil Brennan
    title: Founder
    role: Founder
    bio: Phil joined Facebook in 2017 to build out their community threat intelligence team, after running counterterrorism units for the US government. Phil worked with Glen Wise for several years at Facebook before joining him to co-found Cinder.

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