Build Smarter,
Faster Models.
High-accuracy Face AI independently evaluated in NIST FRTE 1:1, optimized for fast, production-ready inference.
View benchmarkPractical AI. Built for the real world.
Your vision. Our AI. Together we grow.
We build AI platforms and production systems that help businesses recognize, retrieve and understand real-world data — from Face AI and multimodal search to custom enterprise workflows.
Cloud APIOn-PremiseMobile SDKEdge SDK
Build Smarter,
Deploy Anywhere,
Integrate Easily.
Deploy through cloud APIs, private infrastructure, on-premise servers, mobile SDKs or edge devices.
Devices & platforms
Common Deployment Platforms
Each model can be optimized for the performance and hardware requirements of the target device.
Cloud & GPU Servers
- NVIDIA T4, L4, A10 and A30
- NVIDIA A100, H100 and H200
- NVIDIA L40 and L40S
- NVIDIA RTX and RTX Ada
- Private cloud, VPC and Kubernetes
NVIDIA Jetson
- Jetson Nano
- Jetson Xavier NX and AGX Xavier
- Jetson Orin Nano and Orin NX
- Jetson AGX Orin
- Jetson AGX Thor
Embedded & Edge AI
- Raspberry Pi 4 and Raspberry Pi 5
- Raspberry Pi AI HAT+ and AI HAT+ 2
- Google Coral Edge TPU
- Hailo-8, Hailo-8L and Hailo-10H
- Rockchip RK3566, RK3568, RK3576 and RK3588
- NXP i.MX 8M Plus, i.MX 93 and i.MX 95
Intel CPU, GPU & NPU
- Intel Core and Xeon processors
- Intel Core Ultra with integrated NPU
- Intel Iris Xe and Arc GPUs
- Mini PCs and industrial PCs
Mobile & Smart Devices
- Android phones and tablets
- Qualcomm Snapdragon and Qualcomm QCS
- MediaTek and Samsung Exynos
- iPhone and iPad
- Apple Silicon M-series
Software Platforms
- Linux and Windows
- Android and iOS
- Docker and NVIDIA Triton
- REST API, C++, Python and Mobile SDKs
Availability depends on the selected model, operating system, inference runtime and performance requirements. Contact AIPractix to confirm compatibility with your target hardware.
Turn Models Into
Powerful Solutions.
We bring our AI cores to collaborate with your team to build production-ready systems that solve real business problems.
Explore solutionsCore platforms
Build once at the core.
Apply everywhere.
Our platforms turn years of applied AI engineering into reusable building blocks for partners, developers and enterprise solutions.
AttFace · Face AI Platform
Face recognition that adapts to your business.
Production-ready Face AI for recognizing, verifying and understanding people across mobile apps, cameras and enterprise systems.
Face AI capabilities
Detection, recognition, verification, search, quality and liveness.
Business applications
Attendance, access control, identity verification, visitor management and camera analytics.
Flexible deployment
Cloud API, private cloud, on-premise, mobile and edge SDKs.
Ways to adopt
Ready-to-use applications, SDK licensing, API integration and custom AI solutions.
FeatSearch · AI Search for Eyewear
Search beyond keywords.
Multimodal AI that helps eyewear businesses turn their catalogs into intelligent product discovery, recommendation and virtual try-on experiences.
Intelligent discovery
Visual, semantic and hybrid search that understands both images and natural-language queries.
Eyewear experiences
Similar-frame discovery, personalized recommendations and virtual try-on across online and in-store journeys.
Commerce integration
Connect existing product catalogs, websites and retail systems through flexible APIs and integration tools.
Ways to adopt
Branded storefronts, search and try-on modules, platform APIs and custom retail solutions.
AI services
From AI capability to deployed systems.
We develop specialized AI capabilities and engineer them into reliable systems that work with your applications, infrastructure and operational requirements.
Computer Vision
Build vision systems for face recognition, vehicle analysis, PPE compliance, object detection and other camera-based operational workflows.
Face AIVehicle AIPPE DetectionVideo Analytics
Search & Knowledge AI
Create intelligent search and discovery experiences across products, images, documents and organizational knowledge.
Visual SearchSemantic SearchRAGRecommendation
Custom AI Engineering
Turn a defined business requirement into a production system spanning models, data pipelines, APIs, applications and deployment.
AI ModelsApplicationIntegrationDeployment
How we work
From a hard AI problem to a system people can use.
We are an engineering-led AI company. That means less theatre, more attention to accuracy, latency, privacy, integration and the messy details between a model and a working product.
Explore our services
01
Find the real frictionStart from users, workflows and constraints — not from a model looking for a problem.
02
Compose the right AIUse AttFace, FeatSearch or custom models only where they create a measurable advantage.
03
Engineer the whole systemAPIs, backend, mobile/web, data and infrastructure designed as one production experience.
04
Deploy where it belongsPublic cloud, private cloud, on-premise or edge — chosen around the application.
Products by AIPractix
Built to be used.
From workforce operations to learning and health information, our products turn applied AI into practical experiences for real users.
Workforce attendance
AttFace Attendance
Mobile-first face attendance for office and field teams, with fast check-ins, real-time timesheets and workforce rules that adapt to how each business operates.
- Fast face check-ins without dedicated time clocks
- Real-time attendance logs and timesheets
- Flexible shifts, leave, overtime and field attendance
AI teaching and learning
Classmin
An AI education platform that brings test creation, assignments and guided student practice into one connected learning experience.
- Manual and AI-assisted test creation
- Assignments organized by class, code and curriculum
- Daily practice with measurable student progress
DeepMec
An earlier AI health initiative exploring symptom understanding and access to relevant health information. The experience continues to support our applied AI capabilities for selected healthcare and information projects.
Insights
What we learn while building.
Technical deep dives, practical architecture and honest notes on turning AI research into systems that survive the real world.
When Face AI becomes good enough to disappear.
Why the best AI experience in a hotel may be the one guests barely notice.
What should a business prepare before hiring an AI team?
Start with the workflow, data, constraints and decision you want to improve.
A hello from a rice field.
Why practical technology can grow from places far away from the usual tech centres.
Have an AI problem worth solving?
Tell us what the workflow looks like today. We’ll help you decide where AI actually belongs — whether that means integrating our cores or building something new.
Talk about your problem