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Softarex Technologies

PL Website 51-200 employees
$50 - $99/hr
5.0

14 reviews

External Reviews

Technologies

NVIDIA JetsonTensorRTAWSDockerNginxJanus serverAndroidHubSpot CRMmmWave radarToast POSOracle MICROSSquare POSLightspeed POSPostgreSQLCloud infrastructureObject detection models3D camerasWeight sensorsTemperature sensorsHL7ICD-10HIPAA

Services

Computer Vision EngineeringAI/ML DevelopmentIoT System Design and IntegrationEdge Computing SolutionsCloud Infrastructure SetupData Pipeline and AnalyticsMobile Application DevelopmentWeb Application DevelopmentReal-Time Monitoring SystemsDemand ForecastingHealthcare Compliance (HIPAA, HL7, ICD-10)Post-Launch Support and MaintenancePOS System Integration

Notable Clients

Wisdom.ioDEAR HealthWelkin HealthWaitbustersSYBE Medical Management

Softarex is a Poland-based software engineering firm founded over 20 years ago, now focused on AI, computer vision, and IoT systems for regulated industries. The company works across healthcare, restaurants, manufacturing, and finance, building production-grade systems from pilot to multi-site rollout. They currently operate computer vision systems in restaurant kitchens, fall-detection platforms in senior care, defect detection in manufacturing plants, and care management software across the UK and US. The firm holds ISO 9001 certification and builds HIPAA-ready architecture from the ground up.

Services and capabilities

Softarex's core offering centers on full-cycle AI and computer vision engineering. They design and build custom platforms that integrate edge computing (NVIDIA Jetson devices, IoT sensors, cameras) with cloud infrastructure and user-facing applications.

On the computer vision side, they build real-time detection systems. For restaurants, they deployed a kitchen management platform that monitors hot-holding stations, tracks waste and stockouts automatically, and verifies order assembly before it reaches guests—reducing stockouts by 50–70% at measured locations. For manufacturing, they built a real-time surface defect detector that inspects components in ~26 ms per image without slowing production lines. For healthcare, they collaborated with Wisdom.io to develop a fall-detection platform using both video and mmWave radar sensors, optimized for edge devices with limited processing power.

They also handle broader end-to-end software engineering: cloud infrastructure setup (AWS, Docker, Nginx), data pipelines, demand forecasting models, mobile and web applications, KDS (kitchen display system) tablets, and integrations with POS systems (Toast, Oracle MICROS, Square, Lightspeed). On the compliance side, they embed HIPAA, HL7, and ICD-10 standards into architecture from day one. For one healthcare client, they replaced paper workflows with a configurable digital platform automating scheduling and communication across their entire care operation.

Their IoT and sensor integration spans weight sensors, temperature sensors, mmWave radars, and multi-camera setups—all feeding into either edge-based inference or cloud analytics. They train machine learning models on client-specific datasets rather than generic templates, which accounts for the localization they mention in case studies (e.g., demand forecasting tuned per restaurant location).

Notable work

Softarex's case studies reveal the scale and depth of their delivery. For a major US QSR chain with thousands of locations, they deployed an AI Kitchen Management System across multiple restaurants. The platform monitors hot-holding containers, classifies finished products (fillets, strips, nuggets, salads), tracks hold times, logs waste automatically, and predicts stockouts from POS history. Results: stockout reduction from 350–540 minutes per day down to 100–250 minutes per day at measured locations, and near-100% order assembly accuracy via automated verification. The system runs on-premise (no video leaves the restaurant) and scales to 2,000+ locations with centralized management.

For Wisdom.io, a New York-based senior care company, Softarex built a fall-detection and wellbeing monitoring platform. Phase 1 delivered an MVP in six months with real-time event detection optimized for edge devices, web and mobile apps for caregivers, and a cloud deployment pipeline using AWS and Janus servers for low-latency streaming. Phase 2 added mmWave radar integration (for privacy-preserving detection without cameras), 24/7 monitoring infrastructure, automated scalability, and HubSpot CRM integration for customer onboarding. The fall detection algorithm showed high accuracy during real-world testing and maintains 24/7 uptime on low-power Jetson devices.

For a global bearings manufacturer, they built a real-time defect detection system processing video streams at production speed (~26 ms per image) without slowing the line. For healthcare clients (DEAR Health, SYBE Medical Management), they delivered billing systems, clinic management software, and care management platforms—all HIPAA and HL7 compliant. One healthcare client reported: "Softarex transformed our product from the Stone Age to the Digital Age in just two years."

Clients quoted include Wisdom.io, DEAR Health, Welkin Health, Waitbusters (restaurant management), and SYBE Medical Management. At least one client has been working with Softarex for over six years; another for over 1.5 years with zero team turnover on the project.

How they work

Softarex structures engagements as full-cycle teams: they scope requirements, architect solutions, build and deploy, and maintain post-launch. For the kitchen management project, they handled on-premise hardware (Jetson edge devices, cameras), custom Android KDS tablets, cloud analytics, and POS integrations. For Wisdom.io, they managed a two-phase delivery: MVP in six months, then a second phase advancing the platform from pilot to production with enterprise-grade infrastructure. They emphasize direct collaboration—client testimonials mention "partnership relations", "constant communication", and "joint decision-making" rather than contractor handoffs. One VP of Engineering noted that the same team stayed on for 1.5+ years, which he cited as important for continuous improvement.

Payment and engagement model specifics are not detailed in the source material, but delivery timelines are concrete: MVP in six months (Wisdom.io), multi-location rollout over time (QSR chain), and multi-year client relationships (six years at DEAR Health, 1.5+ years at Welkin Health).

Team and credentials

Softarex does not publish overall headcount in the source, but the careers page indicates they have multiple talent managers and run hiring across roles (junior through senior engineers, architects, QA, designers, project managers). They offer 25 calendar days of paid vacation, flexible hours, work-from-home and office options, and a grade-level compensation structure with reviews twice yearly for junior/mid-level staff and annually for senior engineers.

Credentials include ISO 9001 (quality management and corporate security) and HIPAA-ready architecture built from day one. No SOC 2, FedRAMP, or specific partner certifications (AWS, Google Cloud, Azure) are mentioned in the source. They advertise 20+ years of engineering production systems for regulated industries.

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Case Studies

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Client Reviews

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5.0

14 third-party reviews

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Frequently Asked Questions

What does Softarex specialize in?
Softarex builds AI, computer vision, and IoT systems for production operations in healthcare, restaurants, manufacturing, and finance. They design and deploy real-time detection systems (fall detection, defect inspection, waste tracking), demand forecasting platforms, and end-to-end custom software—from MVP to multi-site rollout.
Where is Softarex based?
Softarex is based in Poland. The source does not specify which city. They have been operating for over 20 years and currently serve clients across the US, UK, and other regions.
What are Softarex's key credentials?
Softarex holds ISO 9001 certification (quality management and corporate security). They build HIPAA-ready architecture from day one and have delivered solutions compliant with HL7 and ICD-10 standards. They specialize in regulated industries where reliability is a baseline requirement.
What technologies does Softarex work with?
They work with NVIDIA Jetson edge devices, TensorRT, AWS, Docker, Nginx, Android tablets, mmWave radar sensors, weight and temperature sensors, and major POS platforms (Toast, Oracle MICROS, Square, Lightspeed). They build custom object detection and classification models trained on client-specific datasets.
Who are some of Softarex's clients?
Named clients include Wisdom.io (fall detection for senior care), DEAR Health, Welkin Health, Waitbusters (restaurant management), and SYBE Medical Management. At least one healthcare client has worked with Softarex for over six years; another for 1.5+ years with zero team turnover.
What results has Softarex delivered in their case studies?
For a major QSR chain, they reduced stockouts by 50–70% (from 350–540 minutes per day to 100–250) and achieved near-100% order assembly accuracy. For Wisdom.io, they delivered a fall detection MVP in six months with high real-time accuracy and 24/7 uptime. For a bearings manufacturer, they built defect detection running at ~26 ms per image without slowing production.

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