We develop and deploy advanced technologies for face recognition, deepfake detection, document verification, and behavioral risk analytics — enabling secure identification and fraud prevention across digital and physical environments. Our unified infrastructure combines machine learning, computer vision, and data intelligence to deliver instant, verifiable insights.
From fintech onboarding to crowd analysis in large venues, Dataspike empowers organizations to verify, monitor, and protect identities at any scale — with the same accuracy, speed, and security.
Why choose Dataspike?
Dataspike combines deep AI research with modern cloud engineering to deliver a scalable, intelligence-driven platform for identity and risk management.Built for developers and enterprises alike, it transforms complex verification and compliance workflows into a single, reliable API layer. Key advantages include:
- AI-first architecture – Proprietary deep-learning models for document parsing, facial recognition, and deepfake detection, optimized for real-time inference.
- Unified identity model – All checks—KYC, AML, KYT, and biometric verification—connected through a single Applicant entity for consistent risk scoring and traceability.
- Developer-centric design – Simple REST APIs, SDKs, and webhooks with transparent schemas and predictable responses.
- Elastic scalability – Cloud-native, event-driven microservices capable of processing millions of verifications per day with regional failover.
- Security and compliance by default – Encryption, fine-grained access control, and adherence to global standards including GDPR, SOC 2, and ISO 27001.
- Automation and intelligence – Risk scoring, adaptive decisioning, and rule-based workflows that minimize manual review.
- Continuous insight – Real-time monitoring and analytics that surface anomalies, fraud trends, and system health across all verification flows.
Core components
The Dataspike ecosystem is built around a single source of truth — the Applicant.Every verification, screening, and risk assessment can be linked to an applicant entity, providing a unified and auditable view of digital identity across systems.
At the same time, Dataspike also supports isolated and stateless checks for customers who prefer lightweight integrations or single-use verification workflows.
- Applicants API – The foundation of the Dataspike platform. Create, update, and manage applicant records that serve as anchors for all verification and risk workflows. Each applicant can have multiple verification sessions, AML screenings, KYT analyses, and behavioral risk assessments associated with them.
- Verification API – Perform document, biometric, and liveness verification using AI-driven models. Supports both applicant-linked and standalone checks for maximum flexibility.
- AML Screening API – Automatically screen applicants—or individual identities—against global watchlists, sanctions, PEP databases, and adverse media.
- Deepfake Detection Engine – Detect AI-generated or manipulated images and videos using deep neural networks trained for media authenticity and fraud prevention.
- Cybersecurity & Device Intelligence – Identify anomalies and potential threats using device fingerprinting, network telemetry, and behavioral analytics. Detect compromised sessions, emulated devices, or synthetic traffic in real time.
- Crypto Risk Intelligence (KYT) – Monitor blockchain addresses and transactions linked to applicants or independent wallets to assess exposure to sanctioned or high-risk entities.
- Dashboard – A centralized interface for managing applicants, monitoring verification pipelines, reviewing alerts, and auditing performance metrics.
- Web SDK – Embed identity verification, biometric capture, and onboarding flows directly into web or mobile applications with minimal setup.
- Webhook Framework – Receive real-time event notifications for applicant updates, verification results, AML matches, and anomaly detections.
Technology stack
Dataspike is a cloud-native AI platform, designed to operate in any environment — from secure enterprise data centers to large-scale public cloud and edge deployments.Our infrastructure is optimized for high-performance computing, low-latency inference, and geographically distributed workloads, enabling real-time identity intelligence anywhere it’s needed — from online onboarding to physical access control or crowd analytics. We engineer every layer of the stack in-house to balance accuracy, scalability, and privacy:
- Machine learning and computer vision – Proprietary deep-learning models built with PyTorch and TensorFlow for face recognition, document parsing, and deepfake detection.
- Inference optimization – Accelerated pipelines using GPU and edge runtimes for sub-second verification, even in constrained environments.
- Modular microservices architecture – Cloud-native, event-driven, and deployable across regions or private infrastructure.
- Secure data processing – Encryption in transit and at rest, differential privacy for sensitive biometric data, and complete auditability.
- Analytics and observability – Real-time metrics for verification accuracy, performance, and fraud anomaly detection.
- Unified API gateway – A single interface for all verification, compliance, and AI inference endpoints with rate limiting and fine-grained access control.
What can you build with Dataspike?
Dataspike’s modular APIs and AI engines power a wide range of digital identity, compliance, and security solutions — from traditional finance to next-generation Web3 ecosystems.- Digital onboarding flows – Deliver seamless document and biometric verification for fintechs, exchanges, and marketplaces with built-in liveness detection and fraud prevention.
- Automated compliance systems – Implement continuous KYC, AML, and KYT screening pipelines to stay audit-ready and reduce manual review effort.
- Web3 and crypto platforms – Verify wallet owners, screen blockchain addresses, and assess transactional risk to support compliant DeFi, NFT, and exchange operations.
- Fraud and risk intelligence tools – Detect deepfakes, synthetic identities, and compromised devices in real time using Dataspike’s AI-driven risk models.
- Cybersecurity and device trust – Strengthen authentication, prevent account takeovers, and flag high-risk devices using fingerprinting and behavioral telemetry.
- AI identity analytics – Combine verification, behavioral, and transactional data to train adaptive risk models and automate trust decisions.
- Edge and vision applications – Deploy Dataspike’s face recognition and deepfake detection engines in physical environments such as stadiums, airports, and retail venues for crowd analytics and secure access.