Face AI Engineering
Bring reliable face recognition and analysis into your application or enterprise workflow without rebuilding the AI core from scratch.
Face Detection1:1 Verification1:N IdentificationLivenessFace Analysis
AI Engineering Services
Specialized AI. Engineered for real-world systems.
AIPractix helps technology partners build and integrate reliable Face AI, Computer Vision and AI Search into real-world products and systems. You bring the domain expertise and product vision. We engineer the AI behind it.
What we do
Deep expertise where AI meets production.
We focus on a few technical domains and carry the work through model engineering, software integration and deployment.
Computer Vision Systems
Design and implement vision pipelines for images, video streams and operational environments with real-world performance constraints.
Object DetectionTrackingVideo AnalyticsPose & LandmarksEdge AI
AI Search & Retrieval
Make products, images, documents and knowledge easier to find with semantic, visual and multimodal search.
Semantic SearchVisual SearchMultimodal RetrievalVector SearchRAG
Engineering capabilities
More than a model.
Our role is to make the AI layer useful inside your product, not just prove that an algorithm works in isolation.
Face AI Engineering
Bring reliable face recognition and analysis into your application or enterprise workflow without rebuilding the AI core from scratch.
- Face detection, quality assessment, alignment and recognition pipelines
- Identity verification, face search and presentation attack detection
- Mobile, server-side and offline inference with SDK and API integration
Start with our AttFace technology or discuss a custom integration.
Explore AttFaceComputer Vision Systems
Design and implement vision pipelines for images, video streams and operational environments with real-world performance constraints.
- Custom detection, tracking and image/video analysis workflows
- Dataset preparation, evaluation and model optimization
- Camera, device, backend and existing-system integration
Project scope and model selection follow your data and operational goals.
AI Search & Retrieval
Make products, images, documents and knowledge easier to find with semantic, visual and multimodal search.
- Embeddings, indexing, ranking and hybrid retrieval pipelines
- Image-to-image and text-to-image discovery experiences
- Search integration with catalogs, document stores and business applications
FeatSearch demonstrates our applied experience with visual and semantic discovery.
Explore FeatSearchCustom AI Engineering & Integration
Take a defined AI requirement from feasibility and model selection through APIs, applications, deployment and operational handover.
- Proofs of concept and technical feasibility assessments
- Custom model integration, fine-tuning and inference optimization where appropriate
- Production APIs, mobile/edge integration and maintainable AI services
We prioritize projects aligned with our Face AI, Computer Vision and AI Search expertise.
Deployment & integration
Build for the environment you actually operate.
Architecture depends on latency, privacy, hardware, connectivity, maintenance and the systems your AI needs to work with.
Cloud & APIs
AI services integrated through application APIs and cloud infrastructure.
Private & On-premise
Deploy AI closer to enterprise data, under the infrastructure and security constraints of your organization.
Mobile SDKs
Integrate on-device AI into Android and iOS experiences, including offline-first workflows where supported.
Edge & Embedded
Optimize and deploy models for cameras, edge computers and constrained hardware after compatibility validation.
Hardware and runtime compatibility are assessed for each project; not every model is available on every device.
How we work
Your domain expertise. Our AI engineering.
We collaborate with software companies, system integrators and product teams. Our partners understand their users and business requirements; AIPractix focuses on the specialist AI layer and reliable integration.
Explore our partnership model
01
Understand the problemClarify workflow, data, success criteria, integration points and constraints.
02
Choose the AI approachReuse AttFace or FeatSearch capabilities where suitable, or design custom components.
03
Build and validateEvaluate quality, latency and robustness using agreed test data and real operating conditions.
04
Deploy and evolveIntegrate into your product or infrastructure, with handover and support options agreed per project.
Technology foundations
Built on work we know deeply.
We develop reusable technology and learn from building products, so each new engagement does not have to start from zero.
AttFace
Face AI models, SDKs and APIs for integration into identity, attendance and camera-related workflows.
Explore AttFaceFeatSearch
Our applied work in visual and semantic product discovery, including multimodal retrieval for eyewear.
Explore FeatSearchCustom AI Systems
Engineering beyond an off-the-shelf SDK, when a project needs specific models, infrastructure or workflows.
Discuss your requirementsHave an AI problem worth solving?
Tell us what you are building, what data and infrastructure you have, and where AI needs to fit. We will discuss a realistic engineering approach together.
Start a conversation