Have a question about Photocert?

Insurance fraud costs the industry hundreds of billions annually, and a growing share arrives as manipulated, recycled, or AI-generated images submitted through digital claims channels. Photocert is a visual AI platform built specifically for this problem. It authenticates every image and document submitted in insurance claims, underwriting, and inspections, detecting deepfakes, edited photos, reused imagery, and location or timestamp fraud in real time. The result is faster straight-through processing for genuine claims and automatic escalation for suspicious ones, before a single claims handler needs to intervene.

Image authentication is the process of verifying that a photo or document is genuine and captured at the claimed time and place, unaltered, and not recycled from a prior claim or external source. In insurance, where customer-submitted visual evidence is increasingly central to claims decisions, unauthenticated images are a primary vector for fraud. Photocert's authentication layer ensures that visual evidence can be trusted before it drives a settlement.

Deepfakes and synthetic imagery are now realistic enough to fool human reviewers and basic verification tools. That's why Photocert combines metadata forensics, pixel-level anomaly analysis, provenance checks, and behavioural signals into a single detection layer. As a result, it can flag images edited in tools like Photoshop, generated by diffusion models or GANs, or cloned from elsewhere. Our Generative AI Detection technology sits at the core of this process, running a series of tests to confirm whether an image or document is genuine. We also collaborate with the STFC Hartree Centre to keep these detectors current as synthetic media techniques evolve.

Yes. Photocert authenticates geolocation, timestamp, and device provenance data embedded in or associated with submitted images. This allows insurers to confirm that a photo of claimed damage was actually taken at the reported location and date — not sourced from the internet or a previous claim.

Photocert analyses every piece of visual evidence — images and documents — submitted during a claim. It cross-references metadata, checks for signs of editing or AI generation, identifies similar images previously used in other claims, and flags inconsistencies between visual content and the claim details. Risk scores and fraud indicators are returned in real time, enabling straight-through processing for clean claims and automatic escalation for suspicious ones.

Photocert uses two complementary methods. The first is hash-based similarity, which detects exact duplicate files by comparing their digital hash values. The second uses deep learning similarity search, which analyses the visual content of images to identify similar photos even if they've been cropped, compressed, resized, or otherwise modified. Together these support reused-evidence detection, template recognition, and client-specific similarity searches.

Tools that produce photorealistic synthetic damage imagery are now widely accessible, lowering the barrier to fraud dramatically. Financial services firms already face average deepfake fraud losses of $603,000 per company, with 10% of organisations reporting losses exceeding $1 million. Photocert has partnered with the STFC Hartree Centre to develop next-generation AI image authentication, combining Photocert's generative AI detection expertise with the Centre's applied computer vision research, so detectors stay adaptable as generative models evolve.

Yes. Beyond authenticating individual images, Photocert cross-references visual findings against structured claim data — checking whether the damage visible in photos is consistent with the reported incident type, date, location, and severity. Discrepancies trigger risk flags surfaced to the claims handler or fed directly into claims management workflows.

Every digital image may contain embedded EXIF metadata recording the device, timestamp, GPS coordinates, camera settings, and editing history. Photocert analyses this metadata for signs of tampering, inconsistency, or removal. Absent or manipulated EXIF data is itself a strong fraud signal, and Photocert's forensics layer surfaces these anomalies alongside visual analysis results. The same principle extends to documents: our PDF Authentication capability applies equivalent checks to claim paperwork submitted alongside images.

Photocert creates a verifiable chain of custody for submitted images by authenticating their origin, integrity, and contextual plausibility. This means insurers can accept digital submissions with confidence, reducing reliance on in-person inspections while maintaining the evidentiary standard needed for claim decisions and regulatory compliance.

Pixel-level editing artefacts, cloning and splicing marks, compression inconsistencies indicating re-saving after manipulation, AI-generation signatures or "fingerprints," geolocation mismatches, timestamp contradictions, and device or software fingerprints inconsistent with claimed capture conditions.

Photocert's picture-of-a-picture detection uses advanced AI to identify when a submitted image is simply a photo of another screen or printout. This is particularly valuable in insurance because it catches one of the simplest yet most common fraud tactics in claims and underwriting submissions, flagging attempts before they reach a claims handler or automated payment workflow.

Tamper localisation uses pixel-level analysis to highlight exactly where an image has been edited — whether cloned areas, digitally enhanced damage, or other alterations. This gives claims and fraud teams clear visual evidence of manipulation, dramatically speeding up investigations while reducing reliance on manual review.

Photocert has been named Claims Technology of the Year at the Insurance Times Claims Excellence Awards 2026, Counter Fraud Innovation of the Year 2025 at the Insurance Times Tech and Innovation Awards, Guidewire Technology Partner of the Year EMEA 2025, and recognised among the world's most innovative AI companies in financial services by AIFinTech100.

Photocert is a research partner with IBM, UKRI and the UK Government on next-generation detectors for AI-generated imagery. This collaboration keeps models at the forefront of visual fraud defence, continuously retrained against emerging threats so insurers benefit from protection that evolves alongside the tools fraudsters use. You can read more in our UKRI case study.

Photocert integrates via REST API, making it compatible with leading claims management platforms, FNOL systems, and policy administration systems. It's designed for low-friction deployment — typically operational within weeks rather than months — and can be embedded at any stage of the claims workflow, from submission through to payment approval.

Yes. Photocert is an award-winning Guidewire Technology Partner (EMEA 2025) and integrates via API, allowing insurers to embed visual authentication and fraud detection directly into Guidewire workflows for motor, property, and commercial lines.

No. Photocert operates via API and integrates directly into your existing claims management platform, FNOL system, or customer portal. Policyholders submit images through whatever channel your business already uses — SMS, web, email, or your own app — and Photocert's authentication layer runs invisibly in the background.

Most Photocert integrations are completed within a few weeks. Because Photocert is API-first and doesn't require significant changes to existing claims infrastructure, implementation timelines are short compared to traditional claims technology projects. Photocert's team provides onboarding support and can accommodate legacy platform environments.

Yes. Photocert processes images and documents submitted through any channel, including SMS, email, web portals, dedicated mobile apps, and insurer-managed platforms. The authentication and fraud detection layer operates regardless of submission channel, giving insurers consistent coverage across all policyholder touchpoints.

Photocert is purpose-built for the full range of P&C use cases. In motor claims, it authenticates vehicle damage photos, detects reused imagery, and verifies capture location and timestamp. Property claims benefit from structural damage analysis that flags inconsistencies between photos and reported incidents. Commercial lines are supported too, with document and visual evidence authentication across more complex, multi-asset submissions.

In practice, Photocert's API-first architecture is designed to handle significant spikes in submission volumes, such as those following weather events, floods, or other catastrophe scenarios where claim intake can increase dramatically in a short window. As a result, authentication and fraud detection run at the same speed and accuracy regardless of volume, so insurers maintain consistent fraud controls precisely when organised fraud attempts are most likely to occur.

Yes. In addition to its API, Photocert offers both web-based and mobile applications that can be used as standalone solutions or alongside existing claims systems. Insurers can choose the deployment model that best suits their operations — API integration, a secure web portal, or dedicated mobile apps for claims handlers, inspectors, or policyholders.

Photocert customers typically achieve 40% faster claim reviews, 75% less effort for fraud and SIU teams, and 80% less manual work across the claims lifecycle. In one deployment, claim review times were reduced from seven days to seven minutes. Customers also typically realise a 2x to 5x return on investment, depending on the line of business, through improved fraud detection, faster settlements for genuine claims, and lower operational costs.

Photocert enables straight-through processing for authenticated, low-risk claims by removing manual evidence triage at the point of receipt. In practice, customers have reduced claim review times from seven days to seven minutes for eligible submissions. Claims handlers are freed to focus on complex or high-value cases, while routine claims resolve faster. Results vary by workflow and deployment configuration; these figures are typical for standard integrations.

Most Photocert customers achieve a 2x to 5x return on investment, depending on the line of business. Beyond the financial return, there is also a deterrent effect: once fraudsters see claims being detected and denied, they are less likely to target that insurer and often move elsewhere.

Photocert's models are trained on large volumes of insurance claim imagery and validated against known fraud cases across motor, property, and commercial lines. The system is designed to minimise false positives, since incorrectly flagging a legitimate claim creates friction for genuine customers and erodes trust in the tool. This reliability is independently recognised: Photocert won Claims Technology of the Year at the Insurance Times Claims Excellence Awards 2026 and was named among the world's most innovative AI companies in financial services by AIFinTech100. Performance benchmarks for specific deployment contexts are available on request.

Yes. By catching fraudulent and inflated claims before payment is approved, and by enabling faster processing of legitimate claims, Photocert contributes directly to loss ratio improvement. Insurers using Photocert reduce both the frequency and severity of fraudulent settlement, while also lowering the operational cost per claim.

Yes. Photocert analyses images and documents in near real time, delivering authentication and fraud detection results within seconds. This enables claims handlers to make faster decisions, automate workflows, and identify potential fraud at the point of submission without delaying the customer experience.

Photocert is built to meet European data protection standards, including GDPR. Image and claim data is processed in compliance with applicable privacy regulations, with strict controls on data retention, access, and cross-border transfer. Photocert operates within European data infrastructure where required and can accommodate insurer-specific data residency requirements, together with compliance based on ISO 27001 and SOC2.

Photocert is designed with data sovereignty in mind. European customer data is hosted and processed within Europe to meet European data sovereignty requirements, while data for US customers is hosted and processed on US soil. Photocert does not rely on third-party processing outside the applicable region for its core functions. Specific infrastructure details, sub-processor lists, and data flow documentation are available under NDA as part of enterprise procurement processes.