Reality Defender

Est. 2018 HQ United States Employees 79 Funding $55.7M Updated 2026-04-20
Rank trajectory2024-02 → 2026-05 · 28 months
FELL -5From #77 (2024-02) to #82 today
#1#5#10#25#50#1002024-02: #772024-03: #742024-04: #742024-05: #692024-06: #682024-07: #682024-08: #752024-09: #802024-10: #722024-11: #742024-12: #732025-01: #782025-02: #802025-03: #792025-04: #772025-05: #762025-06: #772025-07: #782025-08: #772025-09: #762025-10: #752025-11: #762025-12: #782026-01: #822026-02: #842026-03: #832026-04: #812026-05: #82 #82 now Q2 24Q3 24Q4 24Q1 25Q2 25Q3 25Q4 25Q1 26Q2 26May 26

How this is computed · one composite score, recomputed across all 28 months, ranked on a 3-month moving average

What it is

Reality Defender (realitydefender.com) is a deepfake and AI-generated media detection platform founded in 2018, headquartered in New York. Y Combinator (W22) alumnus. Core offering: real-time detection of synthetic content across audio, video, images, and text — multimodal deepfake detection for enterprises, governments, and legal professionals. Legal-specific product: ‘Reality Defender for Legal Professionals’ — authenticating digital evidence before e-discovery, arbitration, or trial. Partnership with Law and Forensics for forensic-grade deepfake detection in legal workflows. $52.4M total funding ($33M Series A expansion, July 2025; investors include Illuminate Financial, Booz Allen Ventures, Accenture). Product suite: Real Suite (Dec 2025) includes RealScan (web-based detection), RealAPI (API-first integration), and SDK. API-first approach — ‘Stripe for deepfake detection.’ Free tier: 50 scans/month. Supports air-gapped/on-premises deployment for government and law enforcement — critical for evidence chain-of-custody requirements. 79 employees (frontmatter) / 51-200 (LinkedIn). Gartner: recognized as deepfake detection front-runner. RSA Innovation Award winner. Works with NATO StratCom, law enforcement agencies. Gartner Peer Insights listing exists but limited reviews. No G2 or Capterra listing found. PeerSpot: 0.9% mindshare in fraud detection category (up from 0.6%). Competitors: GetReal Security, Sensity AI, identifAI, Hive Moderation, Intel FakeCatcher, Originality.ai. Pricing: subscription-based, tiered by usage volume — not publicly listed. Free tier available (50 scans/month, 91% accuracy per one review). This is an emerging category — deepfake evidence authentication is not yet standard practice in most law firms but is gaining traction as courts grapple with AI-generated evidence admissibility. Columbia Law Review article cites Reality Defender. EDRM references their technology for e-discovery evidence challenges. Ben Colman (CEO) is publicly active on deepfake policy and legal implications. Branded search volume: 1,600/month. LinkedIn: 8,773 followers.

Company Info

  • Founded: 2018
  • Team size: 51-200 employees
  • Funding: $55.7M
  • HQ: United States
  • Sector: Gen, AIGovernance/Compliance/Risk Management

What We Haven’t Verified

This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.

Integrations

Platforms Reality Defender integrates with. Depth — where curated — reflects how native the connection is. Uncurated entries render without a depth dot.

  • Accenture
  • Amazon Web Services
  • Booz Allen Hamilton
  • Dell Technologies
  • Deloitte
  • ElevenLabs
  • IBM
  • KPMG
  • Law & Forensics
  • Microsoft
  • Microsoft Teams
  • NVIDIA
  • PeakMetrics
  • PlayAI
  • Respeecher
  • Secured Signing
  • SummitET
  • TaskUs
  • UST Global
  • Verint
  • Wolftech
  • World Wide Technology
  • Zoom

Deep — bi-directional API Medium — one-way sync / webhook Shallow — middleware / Zapier-class

Community ratings
Alternatives

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Founders
Funding
  • 55.7MTotal funding reported by the TLTF directory · founded 2018 · as crawled 2026-02-09source ↗

Round-by-round data (dates, round names, investors) is not in our source crawl — only the total is shown.

Webinars

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