Ebenezer Technologies

Ebenezer Technologies is a Barranquilla, Colombia-based AI and computer vision firm founded by Edgar Florez Ostos. The company builds video analytics platforms and custom AI solutions aimed at manufacturing, retail, healthcare, security, and logistics operations. Their flagship product, Alice, is a video analytics platform that connects to existing IP cameras (supporting ONVIF and RTSP protocols) to detect objects, count personnel, identify anomalies, and generate real-time alerts. Rather than replacing cameras, Alice layers intelligence onto existing surveillance infrastructure to automate monitoring and extract operational data.

The company markets Alice in three main configurations: Alice Guardian for security and intrusion detection, Alice Traffic for transportation analytics (including license plate recognition and red-light detection), and Alice Industry for manufacturing and operations monitoring. Their work spans person counting, equipment tracking, PPE detection, fire detection, occupational hazard prevention, and vehicle classification. The team has deep expertise in computer vision, machine learning, and ModelOps; Daniela M. Charris Stand holds a Master of Science in Computer Vision, and Dayán Méndez Vásquez specializes in deep learning.

Services and capabilities

Ebenezer offers three core service lines: AI and machine learning development, computer vision systems, and mobile/web app development. On the platform side, Alice can be deployed on-premises, in the cloud, or in a hybrid configuration. The software is hardware-agnostic and integrates with most IP cameras without replacement. Custom analytics can be trained on client-specific objects and scenarios.

Their methodology follows five documented steps: diagnosis and data capture (assessing existing cameras and client needs), smart design and labeling (defining object classes and collecting real-world training data), model training (organizing data and selecting optimal models on dedicated servers), validation and implementation (testing under occlusion, sunlight, and motion), and continuous monitoring and optimization (configuring dashboards, enabling alerts, and refining performance). The company emphasizes transparency and joint development with clients throughout the process.

Alice's feature set includes real-time object counting and classification, anomaly detection, production and process monitoring, occupational risk detection, dwell time tracking, and custom ROI (region of interest) detection zones. The platform generates alerts via multiple channels, produces Excel reports, and integrates with third-party BI tools like Grafana and Power BI. Support includes full technical assistance during installation and integration, regular software and AI model updates, and proactive maintenance with defined SLAs.

Notable work

In a manufacturing project, Ebenezer deployed Alice for a food industry client needing worker productivity monitoring in production areas. The system tracked personnel counts across multiple detection zones and recorded staff dwell times to identify bottlenecks and optimize workflows.

For an industrial inventory client, the company built an automated counting solution to replace manual water jug and bag counting during loading and unloading. The system detects and differentiates object types in real time, generates session reports, and improved traceability while reducing errors and preventing petty theft. An Alice dashboard with trigger buttons allowed operators to start and stop counting processes manually, providing interactive visual records of each count.

How they work

Ebenezer engages clients via fixed-scope projects or outsourced team augmentation. They offer free project reviews and consultations to assess feasibility and scope. Deployment timelines depend on the use case, volume of objects to analyze, and training data required. The company trains custom models using real operational data from client sites and tests solutions under real-world conditions before going live. They support both cloud and on-premises deployment and do not require hardware replacement if existing cameras meet ONVIF or RTSP standards. Pricing is not publicly listed; the company directs inquiries to their contact form.

Team and credentials

Founders include Edgar Florez Ostos (CEO, Electronic Engineering background) and Jean Carlos Altamar (General Manager, DevOps and SRE). The team roster identifies Daniela M. Charris Stand as a Computer Vision Expert and ModelOps specialist with a Master's degree, Dayán Méndez Vásquez as a Machine Learning and Deep Learning expert, and Daniel Martinez as a Full Stack Junior Developer. No ISO, SOC 2, or other formal certifications are mentioned on the website. Team size is not disclosed but appears to be under 50 based on named staff.