Reality AI Inc. Raised $2.6M to verify trust in the AI era.

Verify what's real.
Protect what matters.

Detect AI-generated images and manipulated documents in under 2 seconds. Trusted by legal, insurance, and lending teams.

94%+accuracy<2sper image6forensic modelsSOC 2certified

Trusted by customers & backed by people from

Product Hunt — Product of the DayQualcommLG U+HPSBI HoldingsUC BerkeleyTruliooBeta Fellowship
Product Hunt — Product of the DayQualcommLG U+HPSBI HoldingsUC BerkeleyTruliooBeta Fellowship
SentiLinkHonestlyFinal Round AIDittoQuotrLlama Venture
SentiLinkHonestlyFinal Round AIDittoQuotrLlama Venture

The rise of synthetic media has made it nearly impossible to separate real from fake.

Digital deception threatens the integrity of business workflows. Every unverified image is a risk.

$40B+

Annual fraud from manipulated images

96%

Of deepfakes go undetected by humans

<2s

Average detection time

50M+

Images analyzed

Enterprise AI Image Detection for Insurance, Legal & Financial Teams

Our AI image detector identifies synthetic media across insurance claims processing, loan document verification, KYC onboarding, and legal evidence authentication. Six forensic detection models analyze GAN artifacts, EXIF metadata, compression inconsistencies, and pixel-level frequency patterns — catching manipulations that human reviewers miss.

According to the FBI IC3 2025 report, photo fraud cost businesses over $3.8 billion last year. Reality AI's deepfake detection software reduces claim fraud by identifying AI-generated images before they enter your workflow. Our system integrates via REST API or Zapier, with expert witness services available for litigation support.

Court-Admissible Deepfake Forensic Reports

For legal teams and litigators, our AI expert witness provides Daubert-compliant forensic reports on AI-generated images and deepfakes. Reports include GAN detection analysis, metadata forensics, pixel-level manipulation detection, frequency domain analysis, and C2PA content credential verification — designed for federal and state court admissibility.

With the EU AI Act Article 50 enforcement beginning August 2, 2026, organizations must label AI-generated content. Reality AI scans content libraries to identify unlabeled synthetic media before regulatory deadlines.

Verify faster, decide better

Reality AI automates image verification from intake to report, helping teams spend less time managing process, and more time delivering value.

claim_photo_041.jpg

2.4 MB · uploaded

Face scan
1.8s
6 ModelsManipulated
GAN Detection
0.94
Metadata
0.99
Pixel Analysis
0.12
Noise Pattern
0.96
Content Creds
0.03
Reverse Lookup
0.88

Detect instantly

Upload any image and get a forensic verdict in under 2 seconds. Six detection models run in parallel, analyzing GAN artifacts, metadata, pixel patterns, and noise signatures. According to NIST's 2024 media forensics evaluation, ensemble methods reduce false positives by up to 40%.

Forensic Report
#FR-2847
VerdictManipulated
Confidence97.2%
Chain of CustodyVerified
Model Breakdown
GAN
Meta
Pixel
Noise
Audit Trail
10:42:01Image received
10:42:016 models initiated
10:42:03Verdict: manipulated
10:42:03Report generated
Court-ready documentation

Report with confidence

Every scan produces a forensic report with model-level breakdowns, confidence scores, and metadata analysis. Court-ready documentation meets Daubert standards with chain-of-custody audit trails — delivering reports in 48 hours vs. the 3-week industry average for manual forensic review.

POST Request
curl -X POST api.checkreality.ai/v1/scan \
  -H "Authorization: Bearer sk_..." \
  -F "[email protected]"
Response
{
  "verdict": "manipulated",
  "confidence": 0.97,
  "models": {
    "gan_detection": 0.94,
    "metadata":     0.99,
    "noise_pattern": 0.96
  }
}

Ship faster with one API call

A single REST endpoint runs six forensic models and returns a verdict in under 2 seconds. Drop it into claims intake, loan origination, KYC, or content moderation. SDKs available for Python, Node.js, and Go with 99.9% uptime SLA.

Built for legal teams where images are evidence

48hrsto court-ready report vs. 3 weeks manual review

Court-admissible authentication

Forensic image authentication for litigation and regulatory proceedings. Chain-of-custody audit trails, expert witness testimony, and sworn affidavit services that meet federal evidence standards (Daubert v. Merrell Dow Pharmaceuticals, 509 U.S. 579).

From authenticating photographic evidence to detecting deepfakes in discovery, Reality AI delivers court-ready forensic analysis with expert witness support. Per the American Bar Association's 2024 report, deepfake evidence challenges in litigation increased 300% year-over-year.

Compare

How Reality AI Compares

The most comprehensive AI image detection platform for enterprise teams. Six parallel forensic models, sub-2-second response, and the only platform with court-ready reports, expert witness services, and full EU AI Act compliance.

Detection Models
Reality AI6 ensemble (parallel)
Competitor 11–2
Competitor 22
Competitor 31–2
Competitor 42
Response Time
Reality AI<2s per image
Competitor 13–5s
Competitor 23–5s
Competitor 33–5s
Competitor 43–5s
Deepfake Detection
Reality AI✓ face swap + reenactment + synthetic
Competitor 1
Competitor 2
Competitor 3
Competitor 4
Document Forensics
Reality AI✓ pixel-level tampering
Competitor 1
Competitor 2
Competitor 3
Competitor 4
Court-Ready Reports
Reality AI✓ Daubert-compliant
Competitor 1
Competitor 2
Competitor 3
Competitor 4
Expert Witness
Reality AI✓ sworn affidavit + testimony
Competitor 1
Competitor 2
Competitor 3
Competitor 4
Insurance Claims API
Reality AI✓ Guidewire / Duck Creek
Competitor 1
Competitor 2
Competitor 3
Competitor 4
Lending/Mortgage API
Reality AI✓ draw inspection + collateral
Competitor 1
Competitor 2
Competitor 3
Competitor 4
C2PA / Content Credentials
Reality AI✓ full chain validation
Competitor 1Partial
Competitor 2
Competitor 3
Competitor 4Partial
EU AI Act Compliance
Reality AI✓ Article 50 audit-ready
Competitor 1Partial
Competitor 2Partial
Competitor 3
Competitor 4Partial
Custom Model Training
Reality AI✓ tailored to your data
Competitor 1
Competitor 2
Competitor 3
Competitor 4
On-Premise Deployment
Reality AI✓ air-gapped option
Competitor 1
Competitor 2
Competitor 3Cloud only
Competitor 4
SOC 2 Type II
Reality AI
Competitor 1
Competitor 2
Competitor 3
Competitor 4
Batch Processing
Reality AI✓ up to 100 images / request
Competitor 1Limited
Competitor 2
Competitor 3
Competitor 4
Pricing
Reality AIUsage-based + Enterprise
Competitor 1Usage-based
Competitor 2Enterprise only
Competitor 3Usage-based
Competitor 4Freemium
FAQ

Common questions

Reality AI runs six independent forensic models simultaneously on every image: GAN fingerprint analysis, metadata forensics, pixel-level noise mapping, frequency domain analysis, C2PA content credential verification, and reverse lookup. According to NIST's Media Forensics evaluation (2024), ensemble detection methods reduce false positive rates by up to 40% compared to single-model approaches.

Reality AI detects images from over 100 generators including DALL-E 3, Midjourney v5–v6.1, Stable Diffusion 1.5–3.0, Flux Pro/Schnell/Dev, Adobe Firefly 2–3, Leonardo.ai, Runway Gen-2/Gen-3, Ideogram 1–2, Google Imagen 2–3, and Canva AI. Detection models are retrained within days of new generator releases to maintain coverage.

Reality AI achieves 94%+ accuracy on common AI-generated images and 89%+ on advanced deepfakes, benchmarked against FaceForensics++ and Celeb-DF datasets. The platform provides a per-model confidence score with every analysis. As Dr. Hany Farid of UC Berkeley notes, 'Multi-signal forensic analysis is the only reliable approach as generators improve.'

Images are processed in memory and automatically deleted within 24 hours. Reality AI does not use uploaded images for model training, share them with third parties, or retain personally identifiable information. The platform is SOC 2 Type II certified and GDPR compliant, with AES-256 encryption at rest and TLS 1.3 in transit.

Yes. Beyond full AI generation detection, Reality AI identifies partial manipulation including face swaps, splicing, cloning, retouching, and metadata tampering. According to IEEE research on image forensics, pixel-level inconsistency analysis catches 92% of splicing attacks that visual inspection misses.

Yes. Reality AI provides certified AI expert witness services for litigation. Our deepfake forensic experts testify in depositions and at trial, delivering Daubert-compliant expert reports on AI-generated images, deepfakes, and manipulated digital evidence. We also provide sworn affidavits and chain-of-custody audit trails. Expert witness engagements have supported cases in federal and state courts.

Our court-ready forensic report includes GAN detection analysis, metadata forensics, pixel-level manipulation detection, frequency domain analysis, content credential (C2PA) verification, and a detailed methodology section. Reports meet federal evidence standards per Daubert v. Merrell Dow Pharmaceuticals and include chain-of-custody documentation. Expert witness testimony is available to support findings.

Article 50 of the EU AI Act (Regulation 2024/1689) requires mandatory labeling of AI-generated content, with enforcement beginning August 2, 2026. Reality AI scans content libraries to identify unlabeled AI-generated images, with batch processing of up to 1,000 images per request. The platform generates audit-ready compliance reports suitable for regulatory submissions.

Yes. For individual consumers and smaller teams, our sister platform Scam.ai (scam.ai) provides AI-driven fraud detection tools. Reality AI focuses on enterprise-grade detection with SLA guarantees, forensic reports, expert witness services, and SOC 2 Type II compliance.

See through the fakes.

Join thousands of businesses, journalists, and legal teams who trust Reality AI to verify what they see. Start free, scale when ready.

3 free checks per day. 50 credits on signup. $100 bonus with card.

Looking for consumer-grade AI fraud protection? Scam.ai is Reality AI's sister platform for individuals and small teams.