Plurall AI

What Plurall AI does

Plurall AI is a New York-based B2B trust and safety platform that detects synthetic media (deepfakes) across image, video, audio, and metadata using a six-dimensional forensic fusion architecture — AI Model, Spectral, Diffusion, Temporal, EXIF, and Web Intelligence signals combined into a single confidence score. The proprietary Influx model (currently v3.2) powers the core detection engine, and every audit packet is hash-anchored to an L1 blockchain for zero-knowledge integrity verification, enabling customers to validate detection results without trusting the vendor. The product surface spans three primary areas: Deepfake Detection, Fraud Defense (case management), and Proof-of-Humanhood (identity verification), delivered through an Operator Console UI and a REST API with SDKs for Node, Python, Go, and Ruby. Complimentary modules in development include Mobile SDKs, an AI Assistant API, a Video Review Workspace, and Durable Queues, plus a Compliance Pack aligned to the TAKE IT DOWN Act and EU AI Act.

The company targets mid-size platforms with 10M+ monthly active users across social platforms, marketplaces, creator networks, and in-house trust & safety teams, and sells through an invite-first enterprise motion with a 2-business-day approval SLA alongside an API self-service channel with sandbox testing. Pricing is not publicly disclosed and contracts are quote-based with annual billing cadence; enterprise buyers can purchase a separate security packet with EU and US data residency options and SAML SSO. Named customers include Lumen Social, Halcyon Press, Vector Network, and Aurora Stream, all mid-market accounts across disparate verticals.

Founded in 2024 and operating with a 1-10 employee team, Plurall AI is at the earliest commercialization stage: the founding sales team (Sales Representative and Account Executive) was opened in New York on May 26, 2026, and the first Field Note was published on May 19, 2026. No funding rounds, revenue figures, or named leadership beyond the founding team have been disclosed, and the activity metrics highlighted on the company site (14.4K deepfakes intercepted, $2.8M fraud averted, 94% compliance readiness, 42ms edge latency) are operational outcomes rather than financial indicators.

Name

Plurall AI

Legal name

Plurall AI

Website

https://plurall.ai

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

1–10 employees

Short description

Plurall AI is a B2B trust and safety platform that detects synthetic media via six-dimension forensic fusion and case management workflows, targeting mid-size platforms (10M+ MAU) across social, marketplace, and creator segments through invite-first enterprise sales and an API self-service channel.

Ownership category

akta.pro rank

Product category

Synthetic Media Detection

NAICS

Software Publishers (5132)

SIC

Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Content Authenticity, Watermarking & Deepfake Detection (HDAAAKAK)

akta.pro secondary industries

Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE), Human Oversight, Review & Content Moderation Tooling (HDAAAMAH)

Keywords

• Deepfake detection
• Synthetic media forensics
• Identity verification
• Fraud prevention
• Trust and safety platform

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. API/Platform Subscription: B2B SaaS platform sold to mid-size platforms with 10M+ MAU. Platform access with API usage, audit packets, and compliance features. Invite-first approval model.
2. Enterprise Security Pack: Security packet available with EU + US data residency options for enterprise customers requiring specific geographic data handling.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels4 records

Core offering

Plurall AI provides a deepfake and synthetic media detection platform for trust, safety, security, and compliance teams. It combines six independent forensic dimensions (AI Model, Spectral, Diffusion, Temporal, EXIF, Web Intelligence) into a single fused confidence score for image, video, audio, and metadata. The platform includes case management workflows for fraud defense, proof-of-humanhood identity verification, and zero-knowledge ledger-anchored audit packets for regulatory compliance with the TAKE IT DOWN Act and EU AI Act.

Product overview

Plurall AI is a trust and safety platform for synthetic media risk, consisting of a unified deepfake detection platform with three primary product surfaces: (1) Deepfake Detection using six forensic dimensions (AI Model, Spectral, Diffusion, Temporal, EXIF, Web Intelligence) fused into confidence scores; (2) Fraud Defense for case management and investigation workflows; and (3) Proof-of-Humanhood for identity verification. The Operator Console provides the unified UI for trust teams, while the Plurall AI API enables programmatic integration with SDKs for Node, Python, Go, and Ruby. Additional modules include draft Mobile SDKs and AI Assistant API, plus forthcoming Video Review Workspace and Durable Queues.

Differentiator

Problem solved

Functional benefit

Products and services

• Deepfake Detection Multi-dimensional forensic analysis platform combining AI Model, Spectral, Diffusion, Temporal, EXIF metadata, and Web Intelligence signals to detect synthetic media across images, video, audio, and metadata with a fused confidence score.
• Fraud Defense Case management system for escalating suspicious media, impersonation attempts, and account-level risk into investigation workflows with severity levels, assignee management, and resolution tracking.
• Proof-of-Humanhood Verification workflows with liveness status and audit trails for marketplaces, platforms, and trust teams to confirm user authenticity and prevent synthetic identity fraud.
• Operator Console Unified operator console that fuses six forensic dimensions into a single verdict anchored to the ZK ledger, used by mid-size platforms for moderation queues and customer-trust dashboards.
• Plurall AI API REST API with 18 operations for scan submission, case management, monitoring sources/events, and webhook delivery. Supports bearer authentication, cursor pagination, and SDKs for Node, Python, Go, and Ruby.

Quantifiable outcome

• 14.4K deepfakes intercepted by the platform
• +3 more outcomes

Named customers4 records

Segments5 records

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability7 records

Feature6 records

Scale indicators5 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Reality Defender: Direct competitor offering deepfake and synthetic media detection APIs for enterprises and platforms. Closely comparable on product surface (multi-modal deepfake detection) and target buyer (trust & safety and compliance teams at mid-to-large platforms).
• Sensity AI: Specialized deepfake detection and AI threat intelligence provider serving platforms and enterprises. Comparable on synthetic media detection across image, video, and audio, with a similar focus on enterprise trust-and-safety workflows.
• Truepic: Content authenticity and media provenance vendor offering verification tools and signed-media infrastructure. Comparable on the content authenticity / proof-of-humanhood side of Plurall's stack, with overlap in regulated and platform use cases.
• Hive: AI-powered content moderation API including synthetic media and deepfake detection. Comparable as a developer-first, API-driven detection platform serving platforms with moderation queues, similar in GTM to Plurall's API-first approach.
• DuckDuckGoose: Deepfake detection platform aimed at enterprises and platforms. Directly comparable on synthetic media detection product surface and target customer profile (organizations needing to verify media authenticity at scale).
• Deepware Scanner (DeepWare): Deepfake detection scanner for video and image content. Comparable on synthetic media detection across video and adjacent modalities, with overlapping buyer use cases in platform trust and content verification.

Broad incumbents

• ActiveFence: Larger trust & safety platform offering content moderation, fraud, and risk detection across multiple threat vectors. Broad incumbent that includes synthetic media detection as part of a wider trust-and-safety stack, competing for the same platform buyer.
• Microsoft (Azure AI Content Safety): Hyperscaler offering AI Content Safety APIs including detection for harmful and synthetic content. Broad incumbent bundling detection into a much larger cloud and compliance portfolio, competing with Plurall on enterprise procurement shortlists.

Emerging players

• Paravision: Computer vision and identity verification vendor with face-based biometric and liveness capabilities. Adjacent on the proof-of-humanhood and identity-verification side of Plurall's stack, with partial overlap on trust infrastructure for platforms.
• Resemble AI: Voice AI and voice cloning vendor building deepfake detection for audio. Partial overlap with Plurall's audio/spectral detection dimension and a credible adjacent voice-security player in the synthetic media landscape.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/plurall_ai
• LinkedInlinkedin.com/company/plurall-ai

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Plurall AI