Independent AI engineering studio

We give machines the ability to see.

Xcorre designs production-grade Computer Vision systems, from a difficult real-world problem to a dependable deployed product.

2021
Founded
15+
Projects Delivered
8
Enterprise Clients
Edge & Cloud
Deployment Mode
Live inference · 42 FPS
yolov8-x · conf ≥ 0.85

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Institutional Recognition

Trusted and recognised by AI's defining institutions.

Google

Google Labs Agentic AI Hackathon, top 5

Huawei

3rd place, Huawei AI Championship

National Incubation Center

Got our first product, VocalVibe, incubated in NIC

Track Record

RnD at Motive. Published in IEEE. Core engineer at Arada.

Motive

RnD Engineer at Motive, an International Company specializing in autonomous vehicles.

IEEE

Multiple Publications in IEEE in Computer Vision with 3 targeting Q1 Journals.

Arada

Core Engineer at Arada, UAE's fastest growing destination developer.

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About

An applied AI studio building production systems

Founded in 2021. Computer Vision from definition to deployment.

01
Mission

Intelligent vision systems for real-world impact.

02
Approach

End-to-end ownership, from problem to production.

03
Footprint

8 enterprise clients. 15+ shipped projects. Global team.

Services

Engineering across the AI lifecycle

From discovery to deployment, we provide the full stack required to ship production AI.

01
Core

Computer Vision Systems

End-to-end perception pipelines for detection, tracking and segmentation at production scale.

02
R&D

Applied AI Engineering

Custom model development, fine-tuning and evaluation across vision and multimodal domains.

03
Production

MLOps & Deployment

Reliable serving infrastructure with monitoring, drift detection and continuous retraining.

04

Edge & Embedded AI

Optimized inference for Jetson, Coral and custom hardware with low latency targets.

05

Data Engineering

Annotation workflows, dataset versioning and pipelines built for training-grade quality.

06
Advisory

AI Strategy & Advisory

From discovery to roadmap, we align AI investment with measurable business outcomes.

Industries

Domains we deeply understand

Context, regulatory awareness and reference architectures for every vertical.

Healthcare

Healthcare

Clinical workflow intelligence, Doctor assistance, medical imaging triage and OR analytics.

Manufacturing

Manufacturing

Quality inspection, process monitoring and predictive maintenance.

Agriculture

Agriculture

Crop health monitoring, yield forecasting and field-level decisioning.

Autonomous Vehicles

Autonomous Vehicles

CV solutions for object detection, lane tracking, and real-time obstacle avoidance.

Measured Outcomes

Measured outcomes, not demos

Every engagement is instrumented end-to-end, with impact proven in production.

Medical Imaging

TezNet

High-accuracy retinal disease classification using OCT images required a compact, edge-efficient model.

TezNet outcome
0%
Accuracy
0M
Parameters
OCT
Data Source

Precision Agriculture

AgroVQ-HybridNet

Detecting weeds among soybeans in noisy environments demanded robust feature extraction and faithful latent representation.

AgroVQ-HybridNet outcome
0%
Accuracy
0%
F1-Score
0
Reconstruction Loss

Autonomous Mobility

Lucentra

Real-time speed estimation suffered from high inference latency due to reliance on heavy temporal sequences.

Lucentra outcome
0
Frames Required
0
RMSE
0
MAE
Tech Stack

The platform we build on

Battle-tested tools for modeling, serving and operating AI at scale.

PyTorch
Ultralytics
JAX
Segment Anything
TensorFlow
Triton
ONNX
Postgres
AWS
MySQL
GCP
Supabase
Azure
Airflow
Ray
Label Studio
Kubernetes
Roboflow
OpenCV
DVC
Hugging Face
NVIDIA Jetson
TensorRT
vLLM
MMDetection
Start a project

Let's build something intelligent

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