Privacy by design
Biometric data stays on the device, helping reduce infrastructure dependency while supporting privacy and security requirements.
Embed fast, secure, and reliable biometric recognition directly into access control devices, self-service kiosks, payment terminals, industrial handhelds, and shared-device solutions. No costly server infrastructure. No fragmented vendors. No complex integrations.


Biometric data stays on the device, helping reduce infrastructure dependency while supporting privacy and security requirements.
Fast, contactless authentication performs reliably across real-world conditions & hardware constraints, helping drive adoption and user confidence.
A reusable biometric foundation supports new devices, deployments, and biometric modalities without rebuilding from scratch.
On-device biometrics must work under real hardware and deployment constraints. When they don’t, growing deployment complexity forces teams to compromise between performance, cost, and reliability.
Devices operate under strict cost and compute constraints while still being expected to deliver fast, accurate, and spoof-resistant recognition in challenging conditions such as glare, poor lighting, and occlusion.
Using separate vendors for face, fingerprint, liveness, and matching increases integration effort, memory footprint, long-term maintenance overhead, and delivery risk. The problem compounds with every new device or use case added.
Choosing a rigid biometric stack that lacks flexibility and can’t adapt to new hardware, modalities, or new markets forces costly re-architecture. Regulatory and geopolitical constraints add pressure on vendor selection.
Server-dependent biometric architectures increase latency, costs, privacy risks, and deployment complexity. They also make on-device biometric processing difficult to achieve without costly redesigns.
Innovatrics Embedded Biometrics provides modular biometric SDKs designed to run secure, high-performance biometric recognition directly on-device across a wide range of hardware environments without multi-vendor complexity.
Works across different chipsets and devices without forcing costly hardware redesigns or vendor lock-in.
Support face, fingerprint, iris, and palm recognition through modular components that integrate independently and scale across products, backed by on-device liveness detection.
Matching and liveness detection run locally. Keep biometric data local while reducing latency and infrastructure dependency.
Deliver high biometric accuracy even on low-power and memory-constrained edge devices.
Start fully on-device and evolve toward hybrid or cloud deployments without rebuilding your architecture.
Work directly with teams who help optimize, validate, and evolve the solution alongside your roadmap.
Embed biometrics into larger systems, white-label solutions, and customer-specific workflows more efficiently.
Expand into new devices, biometric modalities, and deployment models without rebuilding your architecture or changing technology partners.
Reliable biometric experiences across devices, environments, and deployments that users trust and perform in the field across every product in your portfolio.


Fast, accurate recognition and liveness detection run locally, allowing devices to authenticate users without sending sensitive data to servers or relying on connectivity or costly infrastructure.
Reusable modular biometric components supporting devices, modalities, and deployments across your portfolio, so you expand into new products and customer-specific solutions without rebuilding integrations or workflows from scratch.
Contactless and reliable authentication, performing consistently under real-world conditions and hardware constraints, so your devices become known for experiences that work consistently outside controlled environments.
Talk to an expertWhy choose innovatrics?
Our biometric technologies are designed for high-stakes environments where reliability, scalability, and security matter.
Integrate biometric functionality into edge devices, embedded systems, and larger solution architectures using modular SDK components and consistent APIs.
Work directly with in-house engineering teams during evaluation, integration, optimization, and rollout.
Validate biometric performance on your target hardware early and reduce integration surprises, delivery delays, and deployment risk.
Deploy the same biometric foundation across multiple devices, use cases, and future product generations without rebuilding from scratch.
We support partners through the entire project lifecycle, from project preparations and evaluations to delivery, rollout, and ongoing support.
We work with your team to test biometric performance on your target hardware, validate modalities, and fine-tune settings for your specific deployment conditions. We help you make informed decisions before committing to deployment.
We support SDK integration into your device or platform, optimize performance for your hardware, and help your team configure biometric components for your product and system architecture. We deliver reliable, on-device biometric functionality tuned to your product and ready for deployment.
We continue supporting your team as you expand into new products, modalities, deployments, and customer-specific solutions using the same technology stack across evolving requirements. This enables faster expansion, lower integration complexity, and a biometric foundation you can keep building on across your portfolio.
Yes. Our algorithms are consistently ranked among top performers in independent NIST evaluations, including FRTE (face recognition), MINEX and PFT (fingerprint), IREX (iris), FRIF TE E1N, and FATE AEV.
Innovatrics Embedded Biometrics supports face, fingerprint, iris, and palm recognition with passive liveness for face and palm.
Our presentation attack detection is tested by iBeta in accordance with ISO/IEC 30107-3.
Yes. Innovatrics provides multimodal biometric SDKs covering face, fingerprint, iris, and palm recognition within one consistent technology stack, helping simplify integration, reduce maintenance overhead, and support future expansion across devices and use cases.
Yes. Our SDKs are modular, allowing you to integrate additional biometric capabilities over time without rebuilding the architecture.
Yes. Matching and liveness detection can run directly on-device without relying on server-side processing or connectivity.
Yes. Devices can authenticate users fully offline, with no network connectivity required for user enrollment or identification. This makes the technology suitable for devices in low-connectivity environments, industrial deployments, and air-gapped systems.
Liveness detection runs entirely on-device as part of the SDK, protecting against spoofing attempts without or server dependency.
The SDK is hardware-agnostic and designed for a wide range of embedded platforms and chipsets, including low-power ARM-based devices. Performance is validated on your target hardware during evaluation.
Yes. We work directly with your team to optimize biometric performance for your specific chipset, device constraints, and deployment environment.
Migration complexity depends on your current architecture, but the evaluation phase helps assess your hardware, integration approach, and migration path before you commit.
Build secure, scalable, and reliable on-device biometric experiences with technology designed for constrained hardware, real-world deployments, and long-term product evolution.