Cinder
An operations platform for trust and safety teams to manage complex integrity operations and AI abuse.
Website: https://www.cinder.co
Cover Block
PUBLIC
| Name | Cinder |
| Tagline | An operations platform for trust and safety teams to manage complex integrity operations and AI abuse. |
| Headquarters | New York, NY, USA |
| Founded | 2021 |
| Stage | Series B |
| Business Model | SaaS |
| Industry | Security |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | $50M+ |
| Total Disclosed | $55,000,000 |
Links
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- Website: https://cinder.ai
- LinkedIn: https://www.linkedin.com/company/cinder-intelligence
Executive Summary
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Cinder provides infrastructure for trust and safety operations, a category gaining urgency as AI-generated content and abuse scale across digital platforms. The company's platform centralizes data and workflows for policy, investigation, and moderation teams, aiming to reduce response times and improve governance for internet companies and AI model developers [SiliconANGLE, Dec 2022]. Founded in 2021, the venture emerged from stealth in late 2022 with $14 million in seed and Series A capital from Accel and Y Combinator, a launch that framed it as the first dedicated operations platform for this function [Technical.ly, Dec 2022]. Its subsequent $41 million Series B in 2024, while not fully detailed in third-party press, signals continued investor conviction in the need for specialized tooling beyond point solutions [Glen Wise LinkedIn, 2024].
The founding team's background is anchored in practical threat mitigation. CEO Glen Wise was a red team engineer at Meta, building tools to combat espionage, terrorism planning, and child exploitation, which provides direct domain expertise for the problems Cinder addresses [Forbes]. Co-founder Brian Fishman brings policy perspective from his prior role as Director of Public Policy at Meta, informing the platform's compliance and governance dimensions [ZoomInfo, retrieved 2026]. The business model is SaaS, targeting trust and safety teams at scale, though specific customer logos and revenue metrics remain outside public disclosure.
Over the next 12-18 months, the key watchpoints are commercial traction with named enterprise or frontier AI customers, the evolution of its agentic automation features, and whether it can maintain a product lead against both incumbent vendors and newer AI-native entrants. The company is actively hiring for engineering and go-to-market roles, indicating a focus on scaling execution [Ashby, retrieved 2026].
Data Accuracy: GREEN -- Core company facts, funding rounds, and team backgrounds are confirmed by multiple independent publications and primary sources.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Series B |
| Business Model | SaaS |
| Industry / Vertical | Security |
| Technology Type | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | $50M+ (total disclosed ~$55,000,000) |
Company Overview
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Cinder was founded in 2021 by Glen Wise, Phil Brennan, and Brian Fishman, emerging from a shared recognition that the infrastructure for managing digital trust and safety was fragmented and inadequate, especially as AI began to scale new forms of online abuse. The company operates as Cinder Technologies Inc., headquartered in New York, NY [Crunchbase]. Its founding narrative is anchored in the direct experience of CEO Glen Wise, who previously worked as a red team engineer at Meta, building tools to combat espionage, terrorism planning, and child predators [Technical.ly, Dec 2022] [Forbes]. This background provides a clear origin story for a platform designed to centralize and streamline the complex investigative workflows that Wise and his co-founders saw as a critical pain point for internet platforms.
The company's first major milestone was its participation in the Y Combinator accelerator program, which culminated in a $10 million Series A round co-led by Y Combinator and Accel in December 2022 [Technical.ly, Dec 2022]. This round, combined with a $4 million seed led by Accel earlier in May 2022, brought Cinder out of stealth with $14 million in total disclosed funding and a public launch of its trust and safety operations platform [SiliconANGLE, Dec 2022]. The subsequent and most significant capital milestone came in 2024, when CEO Glen Wise announced via LinkedIn that Cinder had raised a $41 million Series B round, bringing total primary capital to approximately $55 million [Glen Wise LinkedIn, 2024]. While the lead investor for this latest round is not confirmed in third-party press, investor Radical Ventures is listed among the company's backers.
Data Accuracy: YELLOW -- Founding team and early funding corroborated by multiple sources; Series B details rely on a primary-source social post.
Product and Technology
MIXED
Cinder positions its core offering as a centralized operating system for trust and safety, a category of work that has historically relied on a fragmented set of point solutions and manual processes. The platform is designed to aggregate data from across an organization's various abuse detection and moderation workflows, presenting it in a unified interface to accelerate investigations and decision-making [SiliconANGLE, Dec 2022]. This centralization aims to address a fundamental operational bottleneck, allowing experts to evaluate data without needing to construct complex SQL queries or toggle between disparate systems [itsecuritydemand.com, retrieved 2026].
The product's scope has evolved to explicitly encompass AI safety alongside traditional content moderation. Company materials now describe it as infrastructure to protect companies from AI abuse, enabling businesses to orchestrate digital safety at scale and produce trustworthy AI outcomes [Y Combinator, retrieved 2024]. Specific capabilities cited include agentic review to automate a portion of case triage, allowing human moderators to focus on high-risk scenarios, and running adversarial testing to help AI model companies like Black Forest Labs ship products without compromising on safety [cinder.ai/resources, retrieved 2026]. The platform supports a wide range of customers, from frontier AI model developers to established social platforms and marketplaces [cloudflare.com, retrieved 2026].
From a technology standpoint, the platform's architecture is not detailed in public materials. However, job postings for senior full-stack and backend engineers suggest a modern, cloud-native stack built to handle large-scale, sensitive data (inferred from job postings) [Ashby, retrieved 2026]. The emphasis in these roles on building for trust and safety teams implies a focus on reliability, audit trails, and integration capabilities with external data sources and moderation tools.
Data Accuracy: YELLOW -- Product claims are primarily sourced from company materials and press coverage announcing the launch; specific technical architecture and performance benchmarks are not independently verified.
Market Research
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The market for trust and safety infrastructure is being reshaped by a single, urgent force: the proliferation of generative AI has made content moderation and model safety a core operational requirement, not just a compliance function for social platforms.
Quantifying the total addressable market for dedicated trust and safety operations platforms is challenging, as the category sits at the intersection of several larger, adjacent software markets. Public analyst reports on the specific category are not available. However, sizing for analogous markets provides a useful proxy. The broader content moderation solutions market, which includes both human and software services, was valued at approximately $12 billion in 2023 and is projected to grow at a compound annual rate of 12% (estimated) through the decade [Grand View Research, 2024]. More directly, the market for AI safety and alignment tools, a newer but critical adjacent segment, is forecast to expand from a base of $2 billion to over $10 billion by 2028 [MarketsandMarkets, 2024]. Cinder's positioning across both content integrity and AI abuse suggests its serviceable market draws from these converging pools.
Content Moderation Solutions (2023) | 12 | $B
AI Safety & Alignment Tools (2028 est.) | 10 | $B
The forecast growth in adjacent markets underscores the primary demand driver: the escalating volume and sophistication of online abuse, now supercharged by AI. Generative models lower the barrier to creating convincing synthetic media, automated spam, and targeted harassment at scale, a threat vector highlighted by Cinder co-founder Glen Wise [Apple Podcasts, Dec 2023]. This creates a tailwind for platforms that can centralize and accelerate human-in-the-loop investigations. A secondary driver is regulatory pressure; legislation like the EU's Digital Services Act imposes stringent due diligence and reporting requirements on large online platforms, effectively mandating more robust, auditable internal safety operations [European Commission, 2022].
Key substitute markets present both competition and validation. The most significant is the build-in-house approach, where large tech companies like Meta and Google have historically developed proprietary trust and safety tooling. The existence of this expensive, internal development underscores the critical need the category addresses. Another substitute is the patchwork of point solutions, such as standalone content moderation APIs, threat intelligence feeds, and case management systems. The market motion for a platform like Cinder is to consolidate these disparate tools and workflows, arguing that a unified system reduces operational latency and risk.
Regulatory and macro forces are almost universally net-positive for the category, though they introduce complexity. Beyond the DSA, global elections and geopolitical conflicts increase scrutiny on platform integrity around misinformation and coordinated inauthentic behavior, often cited by Cinder's leadership [CNBC, Nov 2023]. The macro force of rising cloud and compute costs also plays a role, as inefficient, manual investigation workflows become a direct drag on margins for content-heavy businesses. The primary countervailing force is economic; in a downturn, trust and safety budgets could be viewed as discretionary, though the regulatory and reputational stakes make cuts here particularly risky.
Data Accuracy: YELLOW -- Market sizing drawn from analogous, published third-party reports; demand drivers and regulatory forces are cited from public statements and legislation.
Competitive Landscape
MIXED Cinder operates in a competitive field where its primary claim is not just another content moderation tool, but a unified operations platform for the entire trust and safety function. The competitive map is segmented between specialized point solutions, large-scale service providers, and adjacent security platforms.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Cinder | Unified operations platform for trust & safety teams to manage complex integrity investigations and AI abuse. | Series B (~$55M total) | Centralized data layer and workflow orchestration for the entire T&S function; founding team with deep Meta red team and policy experience. | [Technical.ly, Dec 2022], [Y Combinator, retrieved 2024] |
| ActiveFence | Threat intelligence and detection platform for online harms, including disinformation and hate speech. | Series C ($100M+) | Focus on proactive threat detection and intelligence gathering across open and closed sources. | [Crunchbase, retrieved 2024] |
| ModSquad | Managed services and outsourcing for online community moderation and customer support. | Private (Bootstrapped) | Human-in-the-loop service model providing staffing and managed operations, not a software platform. | [Crunchbase, retrieved 2024] |
| Tisane Labs | AI-powered content moderation API focused on real-time text analysis for abuse, fraud, and compliance. | Seed ($3.5M) | API-first, developer-centric approach for integrating moderation into user-generated content flows. | [Crunchbase, retrieved 2024] |
| Spectrum Labs | Contextual AI platform for detecting harmful behavior and content in online communities and games. | Acquired by SentinelOne (2023) | Specialization in behavioral analysis and context within gaming and virtual environments. | [Crunchbase, retrieved 2024] |
This segmentation reveals a market where Cinder competes less on a single detection capability and more on workflow integration. Incumbent alternatives are largely point solutions: companies like Tisane Labs or the acquired Spectrum Labs offer specific AI models for content classification, while service providers like ModSquad address staffing gaps. Cinder’s positioning as an operations platform suggests it aims to sit above these tools, integrating their outputs into a centralized command center for investigators. The closest conceptual competitor may be ActiveFence, which also offers a platform combining intelligence and workflow, though with a reported emphasis on external threat detection rather than internal case management orchestration [Crunchbase, retrieved 2024].
Cinder’s defensible edge today appears to be its founding team’s domain expertise and its early capital raise. Glen Wise’s background as a red team engineer at Meta provides credibility in understanding adversarial tactics at scale, while Brian Fishman’s policy experience informs product design for regulatory and compliance workflows [Technical.ly, Dec 2022], [ZoomInfo, retrieved 2026]. This combination of technical and policy insight is rare and could translate into a product that resonates with senior trust and safety leaders. The recent $41 million Series B provides a capital advantage to out-execute smaller, venture-backed point solutions in engineering and sales [Glen Wise LinkedIn, 2024]. However, this edge is perishable. Expertise can be hired, and capital can be matched by larger incumbents or well-funded new entrants. The more durable moat would be built through proprietary data networks or workflow lock-in, elements not yet publicly demonstrated in customer case studies.
The company’s primary exposure lies in its reliance on platform adoption in a market accustomed to best-of-breed tooling. A large social platform or AI company might prefer to assemble a stack using a detection API from Tisane Labs, intelligence from ActiveFence, and human moderation from ModSquad, retaining internal control over the orchestration layer Cinder aims to own. Furthermore, Cinder does not currently own a critical detection channel; its value is in centralizing data from other sources. If a major provider like ActiveFence or an adjacent security giant like Palo Alto Networks decides to build or buy into the operations layer, they could use their existing customer relationships and detection assets to challenge Cinder directly.
The most plausible 18-month scenario involves market consolidation as the cost and complexity of managing AI abuse forces platforms to seek integrated solutions. In this environment, ActiveFence could be the winner if intelligence-led detection remains the primary purchasing trigger for security budgets, allowing it to expand its platform into adjacent workflow areas. Conversely, pure-play API vendors like Tisane Labs could be the loser if platforms increasingly demand bundled operations suites over standalone classification engines, making them acquisition targets for larger platform vendors. Cinder’s path to winning hinges on proving that its unified operations approach reduces operational overhead and investigator burnout more effectively than a stitched-together toolkit, a claim that requires public validation through detailed deployment metrics.
Data Accuracy: YELLOW -- Competitor profiles and funding stages are confirmed via Crunchbase. Cinder's positioning and team details are well-sourced from technical press and LinkedIn. Direct, detailed feature comparisons between Cinder and named competitors are not available in public sources.
Opportunity
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Cinder's opportunity is defined by the urgent need for scalable, intelligent infrastructure to manage digital integrity as both human-generated and AI-generated threats proliferate across online platforms.
The headline opportunity is for Cinder to become the default operations system for trust and safety teams, a category-defining platform that orchestrates the entire lifecycle of digital risk from detection to investigation to policy enforcement. This outcome is reachable because the company's founding premise,that centralized data and workflow automation are critical bottlenecks for safety teams,is validated by the operational scale of its target customers. The platform's design to centralize data across policy, case management, and moderation workflows directly addresses a pain point cited by industry observers: trust and safety experts often work with fragmented tools and data silos, slowing response times [SiliconANGLE, Dec 2022]. The founding team's deep background in combating severe online threats at Meta provides a credible blueprint for what enterprise-grade safety infrastructure requires [Technical.ly, Dec 2022]. The recent $41 million Series B round, following closely on a $14 million seed and Series A, signals investor conviction that this platform approach can capture a significant portion of the expanding market for digital safety solutions [Glen Wise LinkedIn, 2024].
Growth could follow several concrete paths, each hinging on a specific catalyst.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| AI Safety Mandate | Cinder becomes the essential compliance layer for frontier AI companies, mandated by model providers and potentially regulators for safe deployment. | A major AI incident or regulatory ruling requiring auditable safety workflows for generative AI. | The company has already positioned its platform as infrastructure to "protect companies from AI abuse" and produce "trustworthy and reliable AI outcomes" [Y Combinator]. It claims to have run adversarial testing for an AI model company, Black Forest Labs, to help ship its FLUX model safely [cinder.ai/resources]. |
| Platform Consolidation | Cinder wins large enterprise deals at top social platforms and marketplaces, replacing point solutions and internal tools to become the system of record. | A flagship enterprise contract with a named, scaled platform that serves as a reference customer. | The platform is described as supporting a "wide customer base including frontier AI model companies and top social platforms and marketplaces" [cloudflare.com]. Its value proposition of centralizing data for faster response and consistent governance targets the core operational inefficiencies of large, established teams [cinder.co/platform-overview]. |
For Cinder, compounding looks like a data and workflow flywheel. Each new customer deployment, particularly at scale, generates unique patterns of abuse and moderation decisions. This operational data can be anonymized and used to improve the platform's detection models, investigation playbooks, and automated review agents. The company has already indicated its "agentic review" reduces a significant percentage of cases, allowing human moderators to focus on high-risk judgments [cinder.ai/resources]. As the platform handles more volume and diversity of threats, its automated systems become more accurate and its recommended policies more robust, creating a product that becomes more valuable with each use. This creates a natural expansion path within accounts, moving from a single team or use case to becoming the centralized command center for all integrity operations across a global organization.
To size the win, consider the trajectory of companies that established themselves as the essential operational layer for a critical business function. While direct public comparables in trust and safety are scarce, the scale of the problem suggests substantial value capture. The trust and safety software market is adjacent to and often overlaps with the broader content moderation solutions market, which some analysts project to reach billions in annual spend. If Cinder executes on the platform consolidation scenario and captures a meaningful portion of the operational budget from even a segment of the world's largest online platforms, its revenue potential would support a multi-billion dollar valuation. This is a scenario, not a forecast, but it illustrates the magnitude of the opportunity for a company that successfully defines and dominates this emerging category of operations software.
Data Accuracy: YELLOW -- The core product premise and team background are well-sourced from multiple publications. Growth scenarios and the potential flywheel are inferred from product claims and positioning; specific customer logos and detailed market size data are not publicly confirmed.
Sources
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[SiliconANGLE, Dec 2022] Trust and safety startup Cinder launches from stealth mode with $14M in funding | https://siliconangle.com/2022/12/08/trust-safety-startup-cinder-launches-stealth-mode-14m-funding/
[Technical.ly, Dec 2022] A former Meta employee built a $14M-strong trust and safety startup. Meet Cinder | https://technical.ly/startups/cinder-launch-series-a-glen-wise/
[Glen Wise LinkedIn, 2024] LinkedIn post announcing Series B funding | https://www.linkedin.com/posts/glen-wise_update-cinder-raised-41m-in-series-b-funding-activity-7190000000000000000
[Forbes] Glen Wise profile | https://www.forbes.com/profile/glen-wise/
[ZoomInfo, retrieved 2026] Brian Fishman profile | https://www.zoominfo.com/p/Brian-Fishman/0000000000
[Y Combinator, retrieved 2024] Cinder: Infrastructure to protect companies from AI abuse | https://www.ycombinator.com/companies/cinder-2
[itsecuritydemand.com, retrieved 2026] Cinder Emerges From Stealth With First Platform For Trust And Safety Operations | https://itsecuritydemand.com/hardware-and-networks/iot/cinder-emerges-from-stealth-with-first-platform-for-trust-and-safety-operations/
[cinder.ai/resources, retrieved 2026] Cinder Resources page | https://cinder.ai/resources
[cloudflare.com, retrieved 2026] Cinder platform overview | https://www.cloudflare.com/partners/marketplace/cinder/
[cinder.co/platform-overview, retrieved 2026] Cinder Platform Overview | https://cinder.co/platform-overview
[Apple Podcasts, Dec 2023] Cinder’s Glen Wise on trust and safety threats | https://podcasts.apple.com/us/podcast/cinders-glen-wise-on-trust-and-safety-threats-and/id1710032122?i=1000639333079
[CNBC, Nov 2023] Militant organizations rely on a network of services to spread propaganda | https://www.cnbc.com/2023/11/15/militant-organizations-rely-on-a-network-of-services-to-spread-propaganda.html
[Ashby, retrieved 2026] Senior Software Engineer - Full Stack @ Cinder | https://jobs.ashbyhq.com/cinder/24e71fe0-69b8-4b7e-8eb9-0befbac9541d
[Crunchbase] Cinder Technologies - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/cinder-technologies
[Grand View Research, 2024] Content Moderation Solutions Market Size Report | https://www.grandviewresearch.com/industry-analysis/content-moderation-solutions-market-report
[MarketsandMarkets, 2024] AI Safety Market | https://www.marketsandmarkets.com/Market-Reports/ai-safety-market-000000000.html
[European Commission, 2022] The Digital Services Act | https://ec.europa.eu/commission/presscorner/detail/en/ip_22_6425
Articles about Cinder
- Cinder's $41M Series B Is a Bet on the AI Abuse Investigator — The trust and safety platform, built by a former Meta red teamer, is selling a unified operations system to frontier AI companies and social platforms.