XPndAI builds privacy-first architecture, cybersecurity infrastructure, and GDPR compliance systems for sextech companies, sexual wellness brands, connected device manufacturers, and adult platforms. Intimate data is among the most sensitive data that exists — a breach is catastrophic for users and for your brand. We engineer privacy in from day one, not as an afterthought. GDPR, CCPA, UK GDPR, DPDP Act compliant. From $20,000. Serving USA, UK, Europe, Australia, Canada, Israel, India.
In 2019, researchers discovered that Lovense's remote vibrator app was logging and transmitting user session audio — intimate sounds — to Lovense's servers, despite promising local-only storage. The story was covered by every major tech publication. In 2021, the We-Vibe class action settlement paid $3.75 million to users after the app collected intimate usage data without adequate disclosure. These incidents demonstrate the unique risk profile of sextech companies: intimate behavioural data (when people use their devices, for how long, what patterns they engage) is extraordinarily sensitive. Users who trusted a brand with this data feel profoundly betrayed when it is mishandled. The reputational damage is severe, the regulatory exposure is maximum (special category personal data under GDPR Article 9), and the trust destroyed is rarely rebuilt. XPndAI builds privacy infrastructure that prevents these incidents by engineering for data minimisation, on-device processing, and genuine user control from the start of development — not retrofitting privacy onto an existing system after a breach has occurred.
GDPR Article 9 designates certain categories of personal data as "special categories" requiring the highest level of protection — among them: data revealing sexual orientation, data concerning health, and biometric data. Sexual wellness app data can touch all three: a connected pelvic device's usage data may reveal health conditions (pelvic floor dysfunction); a sexual wellness CRM's purchase history reveals purchasing of sexual products; a couples app's session data reveals the sexual behaviour of the people involved. The ICO (UK) and CNIL (France) have made clear that they interpret sexual wellness app data as falling within Article 9 special category data. Processing this data requires one of the legal bases in Article 9(2) — most commonly explicit consent (9(2)(a)) for consumer apps. Explicit consent requires granular, specific, informed, unambiguous consent — not a pre-ticked box. Failure to establish a valid legal basis for processing Article 9 data is the highest-risk GDPR violation. XPndAI's GDPR architecture for sextech companies establishes and documents the correct legal basis for every category of data processed, builds the consent management infrastructure, and implements the technical safeguards that demonstrate compliance.
Privacy-first architecture is designed from the first line of code — not added at the end of development. XPndAI's privacy architecture service: data flow mapping (map every data input, every processing step, every storage location, and every data output — for app, API, cloud, connected device, and third-party integrations), data minimisation review (for every piece of data collected, answer: does this serve a direct user benefit? Could the feature work with less? Can this be computed on-device rather than in the cloud?), data model design (design the database schema to minimise linkability of intimate data — pseudonymisation, separate storage of different sensitivity tiers, encryption at field level for highest-sensitivity data), third-party risk assessment (audit every SDK, library, and API call for data leakage — advertising SDKs, analytics SDKs, social login, payment processors, cloud functions; flag any third-party that receives personal data and assess the legal basis for that transfer), consent management design (design the consent flow for each data processing purpose — granular consent for each purpose, stored with timestamp and consent version, revocable, auditable), and privacy-by-design documentation (formal PbD assessment documenting the privacy decisions made in the architecture — required for GDPR Article 25 compliance; submitted to the DPA on request). From $20,000.
Encryption protects intimate data at rest and in transit. XPndAI implements: transport encryption (TLS 1.3 minimum for all API connections — including BLE-to-cloud and cloud-to-cloud; certificate pinning in mobile apps to prevent man-in-the-middle attacks; HSTS headers; no HTTP fallback), encryption at rest (AES-256 encryption for stored personal data; per-user encryption keys (envelope encryption) so that a database breach does not expose all users' data simultaneously — each user's data is encrypted with a unique key that is itself encrypted with a master key), end-to-end encryption for most sensitive data (for users who want maximum privacy — messages, session data, intimate behaviour logs — encrypted with keys held only by the user device; the platform operator cannot decrypt even under legal compulsion — note: requires careful UX design since key loss means data loss), field-level encryption (for specific highly sensitive fields in a relational database — e.g., session behaviour data, sexual health history — encrypted at the application layer before writing to the database, separate from column-level database encryption), secure key management (AWS KMS, Azure Key Vault, or HashiCorp Vault for encryption key management; key rotation policy; key access audit log), and mobile app security (certificate pinning, root detection, jailbreak detection, screenshot prevention for sensitive screens, clipboard protection). From $25,000.
Connected intimate devices introduce a unique attack surface — a BLE device that someone uses in intimate moments carries extraordinary privacy sensitivity if compromised. XPndAI builds IoT security for intimate devices: BLE security (Bluetooth LE secure pairing with LESC — LE Secure Connections — using ECDH key exchange to prevent eavesdropping on pairing; encrypted BLE link layer; command authentication to prevent unauthorised control of the device — a critical safety concern for intimate devices), device authentication (each device has a unique hardware identity — provisioned at manufacture; device certificate or shared key; device authenticates to the cloud platform before receiving commands or sending telemetry — prevents hijacking of commands to a third-party device), command authorisation (haptic commands to intimate devices are authorised — only the paired user or their explicitly permitted partner can send commands; commands signed at the API; platform validates command source before forwarding to device), OTA security (firmware images signed with the manufacturer's private key; device validates firmware signature before applying; prevents malicious firmware injection over OTA), API security (rate limiting on device command API; anomaly detection for unusual command patterns; brute-force protection on device pairing endpoints), and security testing (penetration test of the BLE stack, cloud API, and companion app before launch). From $30,000.
A privacy penetration test simulates what an attacker — or a motivated journalist, researcher, or regulator — would discover about your intimate data architecture. XPndAI conducts privacy penetration testing for sextech companies: network traffic analysis (intercept and analyse all network traffic from the mobile app — what data is sent to which destinations? Are third-party SDKs exfiltrating intimate data? Is all traffic encrypted? Can TLS be bypassed?), API security testing (test the platform API for authentication weaknesses, authorisation flaws — can user A access user B's intimate data? can device commands be sent without authentication?), mobile app analysis (static analysis — decompile the app and identify hardcoded secrets, API keys, and privacy leaks in the code; dynamic analysis — run the app under instrumentation and capture all data writes, network calls, and clipboard access), BLE security assessment (for connected device apps — scan and pair with the device using off-the-shelf BLE tools; attempt to eavesdrop on BLE communications; attempt to send unauthorised commands to the device), cloud storage review (audit S3/Azure Blob/GCS bucket permissions — are any intimate data stores publicly accessible? — a shockingly common vulnerability), and reporting (detailed technical report of findings with severity ratings and remediation guidance; executive summary for board and regulatory purposes). From $25,000 per assessment.
GDPR compliance for sextech companies is not a one-time checkbox — it is an ongoing technical and operational discipline. XPndAI builds the technical infrastructure for GDPR compliance: data subject rights implementation (right of access — automated DSAR response generating a complete export of all personal data held on a user; right to erasure — deletion of all user data across all databases, backups, and connected systems — genuine deletion, not soft delete; right to portability — machine-readable export of personal data; right to restrict processing — flag an account as processing-restricted, ensuring no new processing occurs; right to object — honoured without undue delay), consent management platform (granular consent per processing purpose, stored with timestamp, IP, consent form version; consent withdrawal revokes all non-essential processing; consent expiry and re-consent workflow), retention and deletion automation (automated deletion schedule — personal data deleted after configured retention period; user-initiated deletion honoured within 30 days; special category data (intimate health/behaviour) deleted on a shorter retention schedule than general personal data), breach detection and notification (automated alerting on anomalous data access patterns; 72-hour GDPR breach notification workflow — breach assessment checklist, DPA notification template, affected user notification template), Data Protection Impact Assessment (for high-risk processing of special category intimate data — DPIA is legally required under GDPR Article 35; XPndAI conducts a technical DPIA and produces the documentation), and records of processing activities (ROPA — Article 30 records maintained as living documents; updated when data flows change). From $25,000.
India's Digital Personal Data Protection Act 2023 (DPDP Act) creates specific obligations for companies processing personal data of Indian citizens — relevant for Indian sexual wellness D2C brands, femtech apps, and health apps serving Indian users. XPndAI builds DPDP Act compliance infrastructure: Data Principal rights (DPDP uses "Data Principal" for the data subject — Indian users have the right to access, correct, erase, and receive data portability; XPndAI builds the user-facing UI for these rights and the backend processing pipeline), consent management (DPDP requires explicit informed consent for processing of personal data; consent must be in plain language; consent notice must be available in multiple languages for accessibility; XPndAI builds consent management infrastructure compliant with DPDP consent requirements), Data Fiduciary registration (significant data fiduciaries must register with the Data Protection Board — XPndAI advises on threshold assessment and registration process; does not provide legal advice on whether a specific company meets the threshold), data localisation (DPDP allows the government to mandate data localisation for certain categories — XPndAI designs architecture with India-region data processing capability; AWS Mumbai, Azure Central India deployment options), and cross-border transfer compliance (DPDP restricts transfers to certain countries; standard contractual clauses for permitted transfers; adequacy determination monitoring). From $15,000 for DPDP compliance architecture.
Based on published security research and XPndAI's assessment work, the most common privacy vulnerabilities in sexual wellness apps are: (1) Third-party SDK data leakage — advertising SDKs (Facebook Audience Network, Google AdMob), analytics SDKs (Firebase, Amplitude, Mixpanel), and social login SDKs (Facebook Login, Google Sign-In) embedded in intimate wellness apps transmit user behaviour data to their own servers. For a generic app, this is mildly concerning. For a sexual wellness app, it means intimate behaviour data flows to advertising platforms — a severe privacy violation. Fix: audit every SDK in the app for data exfiltration; replace advertising SDKs with privacy-preserving alternatives (Plausible, PostHog self-hosted); use privacy-preserving analytics only; (2) Unencrypted BLE communications — many connected intimate device apps communicate with the device over Bluetooth Low Energy without encryption, or with weak authentication. A nearby attacker with standard BLE scanning equipment can intercept device state and commands. Fix: implement LESC (LE Secure Connections) pairing, BLE link-layer encryption, and command authentication; (3) Cleartext or weakly encrypted intimate data in transit — using HTTP instead of HTTPS for API calls, or using TLS without certificate pinning (enabling man-in-the-middle on mobile networks). Fix: TLS 1.3 minimum, certificate pinning in mobile apps; (4) Insecure cloud storage — S3 buckets or similar object stores containing intimate images or user data configured with public read access. Shockingly common. Fix: audit all cloud storage bucket permissions; use presigned URLs for user-specific content access; (5) Insufficient authentication — weak password requirements, no MFA for accounts containing intimate health data, no rate limiting on login attempts; (6) Excessive data collection — collecting precise session timestamps, granular location data, and device usage data "for analytics" when these are not needed for the core service function. Fix: data minimisation audit — collect only what is necessary for the user benefit; (7) No data deletion — apps that claim to support deletion but retain data in backups, log files, or analytics systems. Fix: implement complete deletion across all data stores including backups.
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XPndAI · SexTech Privacy Software · GDPR SexTech Compliance · IoT Security Intimate Device · Privacy Penetration Testing · India DPDP Act · Source Code Ownership · From $20,000 · +91-9625368140