4677 Old Ironsides Drive
Suite #410
Santa Clara CA 95054
[ Services ]
Biometric Testing
At 3Qi Labs, we blend advanced technology solutions with expert consulting to empower your digital landscape.
Our Biometric Testing services ensure the accuracy, performance, and security of biometric systems such as facial recognition, voice authentication, and gesture controls.
We conduct extensive studies across large population sets, evaluating performance across diverse demographic criteria to ensure fairness, accuracy, and reliability.
Whether across multiple devices or platforms, we help businesses implement secure and scalable biometric solutions that meet the highest industry standards while delivering a seamless user experience.
Voice Recognition Testing
We ensure the accuracy and security of voice authentication systems by testing across diverse environments and demographics, measuring FAR/FRR rates, and performing advanced spoof tests like voice synthesis attacks to enhance fraud resilience.
Behavioral Biometrics
Ensuring the accuracy of user behavior analysis, detecting anomalies in keystrokes, mouse movements, and touch interactions to enhance fraud detection and security.
Facial Recognition Validation
Testing the reliability and security of facial recognition and ID verification systems by testing accuracy, FAR/FRR rates, and conducting spoof tests to enhance fraud detection and secure authentication.
Field Studies
Evaluate the efficacy of biometric verification ISVs, testing across diverse demographic groups and categories of people to ensure accuracy, inclusivity, and real-world performance.
Swipe and Gesture Authentication
Swipe and gesture authentication is validated for precision and responsiveness, ensuring smooth interaction while detecting potential spoofing attempts to safeguard user access.
Performance Benchmarking
Compare different ISVs across a variety of tests, measuring key metrics like speed, scalability, and reliability to ensure optimal performance and industry competitiveness.
At 3Qi Labs, our approach to biometric testing begins with a thorough understanding of your system's requirements and demographic considerations.
We design comprehensive test plans to assess accuracy, security, and performance, including metrics such as False Acceptance Rate (FAR) and False Rejection Rate (FRR). By conducting tests across large population sets and varied demographic criteria, we ensure your biometric systems—such as facial recognition, voice authentication, and gesture controls—are reliable and inclusive.
Our process includes advanced spoof testing using sophisticated techniques like 3D mask attacks, AI voice synthesis, and fingerprint replicas to assess the system's resilience to fraudulent attempts. We perform functional and performance testing to simulate real-world usage and stress scenarios, continuously optimizing for minimal false positives and negatives.
Throughout the process, we collaborate with your teams to ensure the secure and seamless deployment of scalable biometric solutions that meet the highest industry standards.
Background
A North American telecommunications provider faced 2+ month release cycles due to manual processes, fragmented environments and multiple dependent, yet disconnected, systems and pipelines. The program focused on automating and integrating the various systems, pipelines, and verification processes to unify releases and reduce manual dependencies, achieving 80% automation coverage in < 12 months.
Approach
Defined the target operating model and streamlined environment and pipeline integration across multiple systems. Integrated several disparate third-party tools within the DevOps stack to enable seamless orchestration of builds, validations, and deployments, establishing a repeatable framework to accelerate delivery and reduce cycle time.
Impact
60+
APIs and microservices integrated into a unified automation and deployment framework across Dev, QA, and Prod environments.
75%
Reduction in manual configuration effort through scripted environment provisioning and CI/CD integration.
$2.5M+
Annual operational savings achieved by consolidating test, deployment, and monitoring workflows under a single automation framework.
10+
Enterprise-grade integrations (Billing, Provisioning, Networks, Tracking, Devices, etc.) automated, reused and validated across environments & services.
Background
A leading U.S. financial institutionsought to modernize its Commercial Card Expense Reporting platform to handlegrowing transaction volumes and deliver real-time insights. Legacy systemsstruggled with long query times, fragmented data, and manual processes limitingvisibility for clients and finance teams.
Approach
3Qi Labs, an Elastic Reseller and SystemIntegrator, implemented a real-time analytics platform leveraging the Elastic(ELK) Stack — Elasticsearch, Logstash, and Kibana — along with Kafka, AWS, andPython ETL pipelines. The solution delivers sub-second query speeds, unifiedAPIs, and a secure, scalable cloud architecture.
Impact
10M+
Transactions/hourprocessed — Real-time analytics at scale
<1sec
Query latency — Instant search across terabytes of data
1M+
Activeusers — Self-service analytics for clients and teams
1M+
Activeusers — Self-service analytics for clients and teams
Background
A U.S.-based financial institution neededto modernize its escrow operations to replace manual processes and fragmenteddata systems. The goal was to create a secure, cloud-hosted escrowplatformtightly integrated with the bank’s core systems, paymentsinfrastructure,and enterprisedata warehouse.
Approach
3Qi Labs engineered a microservices-basedintegration layeron AWS, connecting the escrow platform to existing banking and compliancesystems. The solution included real-time APIs, event-drivenmessaging, andSnowflakeintegration forunified data analytics, account reconciliation, and reporting — all securedthrough SSO/SAML and end-to-endencryption.
Impact
85%
Reductionin manual account setup and maintenance effort through API-driven escrowlifecycle automation.
95%
Improvement in reconciliation accuracy between escrow ledgers and core banking systems via event-driven data validation.
3× Faster
Averageturnaround time for escrow account onboarding and fund disbursement throughintegrated workflows and automated approvals.
65+
Enterprise APIs and microservices integrated across account, payments, and reporting systems.