HID vs Incode

About Incode

Incode is an identity platform that verifies people, businesses and AI agents, with identity verification, deepfake detection, authentication and workforce products. Incode says its AI-driven technology is built entirely in-house. Incode says it confirms that the person behind every account, every transaction, and every AI agent is real, is who they claim to be, and can be trusted. Incode verifies people and the AI agents acting on their behalf, extending trust to every interaction.

Incode combines document, biometric, and liveness checks in a single flow. In the capture step, the user photographs their government ID and takes a selfie. Incode says AI then checks document legitimacy and detects tampering and forgery. Incode's facial recognition cross-compares the live capture with the ID portrait, while passive liveness and Deepsight confirm a real human is present. Incode combines custom-built AI models, deterministic identity checks, and direct integrations with government systems of record. Incode lets customers customize colors, fonts, and layouts from the dashboard and deliver a consistent experience across mobile, web, and embedded flows. Incode also offers a dashboard to uncover fraud trends, monitor conversion, and tune performance.^[1][7][8][9]

Deepsight is Incode's proprietary deepfake and liveness detection engine. Incode describes Deepsight as protecting organizations from deepfakes, AI-driven impersonation, synthetic documents, camera injection, and device tampering. Deepsight's behavioral layer flags anomalies in device motion and user behavior that signal bots or scripted fraud. Deepsight's device integrity layer detects tampered, emulated, or rooted devices that open the door to spoofing and injection. Deepsight's camera integrity layer blocks virtual cameras and prevents video injection with camera source validation. Deepsight for Documents protects the document layer, catching forged IDs, passports, and supporting documents.^[10]

GovFaceMatch matches biometrics against government systems of record. GovFaceMatch performs a face match against DMV and government records. Incode says matching runs inside the DMV’s secure environment, with no biometric data stored and no government PII shared. TrustGraph connects people, AI agents, and actions across 700+ enterprises.^[11]

Incode lets returning customers sign in with a glance, matched to the identity verified at onboarding. iOS, Android, and Web SDKs cover the app and the browser, and call-center flows confirm a caller with a selfie. Incode screens each sign-in capture for deepfakes, video injection, and device tampering with Deepsight. Incode verifies identity without an ID document, using biometrics and trusted data, and checks a few fields against government, credit and telco records. Incode estimates a user's age from their face entirely on their device, without ever transmitting the image to a server. Incode says age and liveness models run entirely on the user's phone, and no biometric image or PII ever leaves it. Age checks complete, on average, in under 5 seconds. The Privacy Lens blurs or pixelates the face so it is never visible, not even on the user's own screen.^[11][12][13]

Workforce covers the employee lifecycle: hiring, onboarding, MFA resets, and help desk. Employees complete one guided identity check with a government ID and a live selfie. From then on, a quick selfie confirms it is really them at every moment that matters, with no passwords, app downloads, or extra devices. Incode plugs directly into Okta, Microsoft, Ping, Workday, ServiceNow, and more. Incode defines Know Your Employee (KYE) as a risk-based approach to verifying employee identity throughout the employment lifecycle. Incode business verification (KYB) offers eight checks for US businesses, and customers choose only the checks each applicant needs, through one API. Incode accepts Google Wallet digital IDs, and users verify with a mobile driver's license or state ID in one tap, sharing only the fields the check needs.^[14][15]

Incode gives every AI agent a verified identity, bound to an accountable owner, tokenized, and continuously monitored. Incode ties every AI agent's actions to a verified human principal using high-assurance identity verification and liveness detection. Agent activity is detected across human surfaces and machine-to-machine protocols, separating agents from the people they act for. Incode links every agent to a verified human through high-assurance identity checks before sensitive data is accessed or critical actions are taken. Incode monitors agent activity patterns for anomalies and deviations from expected behavior.^[15]

Incode serves financial services, fintech and neobanks, crypto, marketplaces, gaming and gambling, travel and mobility, telco, and the public sector. Incode covers 190+ countries and territories and supports 4,900+ document types. Incode cites Klar in fintech, where 7M+ users are verified from an ID and a selfie. In social media, 18M+ users a year are age-verified across TikTok's appeal flow. In travel and marketplaces, Airbnb extends verified trust in 200+ countries and regions. Ricardo Amper founded Incode on June 17 in San Francisco. Incode reached a $1.25B valuation following its Series B round. Incode acquired MetaMap and AuthenticID. Incode acquired Identiq and committed $100M to privacy-preserving identity infrastructure. Incode holds SOC 2 Type II certification and iBeta PAD Level 3 certification.^{[1][4][10][13][14][15]}