Technostacks

In regulated testing environments, accuracy isn’t a luxury—it’s the baseline. However, ensuring precision comes at the cost of time. In this case, a lab faced a familiar bottleneck: analysts were spending close to 1.5 hours per sample reviewing chromatograms manually—a tedious process that involved identifying peaks, correcting noise, adjusting for co-elutions, and ensuring every tiny anomaly was accounted for. These reviews were then passed on to a second-level reviewer, further stretching the turnaround.

With AI stepping into the workflow, things changed dramatically. Built using historical review data, our AI model learned how analysts performed corrections and began replicating those decisions. It handled the repetitive, error-prone first-level review in minutes, not hours.

Inventory is capital in boxes—too little, and you lose sales; too much, and margins bleed. Northern Tools faced the classic challenge: predicting demand across hundreds of SKUs with variable sales patterns and limited inventory data. Sales anomalies, seasonal swings, and product diversity made manual planning unreliable and time-consuming.

The result?
Smoother stock levels, fewer backorders, and higher revenue retention lower costs.

To cut through this complexity, Technostacks implemented an AI-powered forecasting engine that decoded past trends and predicted future sales with unmatched accuracy.

Despite years of investing in SAP, the chemical manufacturer struggled with customization delays and rigid workflows. Costs kept rising, upgrades required heavy spend, and integration with newer tools was cumbersome. Complex interfaces also slowed user adoption and limited timely decision-making.

Technostacks implemented Zoho One with Zoho Creator at the core to streamline operations, enable QR-based product tracking, and embed AI-driven decision-making across manufacturing, procurement, and finance.

For Norway’s leading plastic pipe manufacturer, frost protection wasn’t just a product—it was an essential layer of safety across pressure drainage and isothermal water systems. But the current system was far from smart: cable setups were manual, diagnostics were delayed, and error handling meant field calls.

Technostacks stepped in to engineer a modern, mobile-first solution. We developed an IoT-powered platform that seamlessly integrated BLE devices with a robust mobile app—enabling users to set up, monitor, and maintain heating cables directly from their phones. The result? Simplified operations, real-time visibility, and smart control—no toolbox required.

A prominent cardiovascular lab faced a growing backlog of ultrasound images requiring manual review to detect plaque and measure arterial thickness. By implementing a deep learning model tailored for image segmentation and regression, the lab dramatically reduced diagnostic turnaround time, increased reviewer consistency, and enabled predictive risk scoring without expanding its clinical team.

A top-tier executive search firm struggled with fragmented resume workflows, misaligned role documentation, and stakeholder feedback buried in email chains. We deployed a modular Python-AI system—built on OpenAI and Azure—that cut resume parsing time by 90%, eliminated compliance errors, and boosted placement accuracy, all while preserving data privacy.

A leading multinational conglomerate with diversified operations across events, hospitality, and technology services faced the challenge of maintaining a legacy SQL Server database that was expensive to support and limited in scalability. By upgrading from version 5.1.73 to 8.0.36, implementing advanced high-availability architecture, and applying FinOps best practices, the organization unlocked significant performance gains, reduced operating costs, and fortified security, ensuring operational resilience across all business units.

An Australian logistics provider specializing in shipping parcels to the Philippines was bogged down by manual workflows, inconsistent tracking, and coordination challenges across multiple delivery partners. We built a full-suite web and mobile platform that automated container management, shipment tracking, and agent coordination, streamlining the process end-to-end, boosting efficiency, and enhancing visibility for both the business and senders.

A leading tech-enabled delivery company in the USA struggled to manage policy-related queries across a vast fleet operation. Their HR and operations teams were buried in redundant questions, while employees fumbled through outdated folders for simple SOPs.

We deployed a custom Retrieval-Augmented Generation (RAG) chatbot that instantly answered queries, reduced HR workload by 75%, and turned their unstructured chaos into searchable knowledge.

A restaurant operator in the USA was struggling with inaccurate AI order bookings due to noisy call audio. We streamlined the transcription pipeline by properly decoding audio from Twilio’s format, which resulted in 95%+ transcription accuracy and a fully automated ordering workflow.

A leading manufacturer of sanitization devices sought an innovative solution to elevate hygiene protocols in hospitals. They needed a device that could rapidly disinfect personal items without physical contact, withstand continuous high-frequency use, and meet strict healthcare-grade standards.

Technostacks designed and engineered a touchless UV disinfection device with an intuitive LCD/touchscreen interface, enabling seamless user interaction. The system delivers efficient, hospital-grade sanitization for items such as phones, tablets, and medical accessories, effectively minimizing contamination risks and enhancing trust in healthcare environments.

The client required a diamond screener solution that could accurately test both loose stones and mounted jewellery. The hardware was ready. Still, they needed an innovative Android app to connect via Bluetooth, capture high-resolution images, and process UV light analysis.

Technostacks built a mobile-first solution powered by TensorFlow ML, OpenCV image processing, and C++ firmware, ensuring auto-detection, 360-degree viewing, low power usage, and automated certification. The result: precise, real-time testing without the need for external screens or computers.

Each client required reliable real-time data collection across large, complex areas where wired and Wi-Fi systems were unreliable.

A wireless monitoring ecosystem was built using ESP32-C3 microcontrollers, EBYTE E22-900T22D-V2 LoRa modules (SX1262), and the ThingsBoard IoT cloud.

Sensor data for environment, air quality, and energy was transmitted via LoRa® to a central gateway, then to the cloud through MQTT, enabling live dashboards, reports, and automated alerts.

This unified system enhanced operational safety, reduced maintenance costs, lowered energy consumption, and enabled more effective environmental management.

The client wanted a water meter application for both iOS and Android. He had existing water meter sensors and wanted us to suggest the perfect IoT cloud-based services to help him develop an app that integrated perfectly with his existing hardware infrastructure. The app needed to be seamlessly connected to the sensors of the water meters; these water meters were to be connected to the piping systems/outlets/inlets and placed around water heaters, dishwashers, refrigerators, sinks and sump pumps.

Technostacks has a proven track record of delivering advanced IoT applications as per client requirements. However, each IoT app comes with its own set of challenges as the app needs to be configured in such a way that it can drive connections and integrations between different IoT devices.

Developers at Technostacks have comprehensive expertise and skill sets in a variety of platforms, IDEs, programming languages, and SDKs that helps them create apps that offer complex functionality that is easy to use and which delivers immense value to our clients.

Yacht Calculator is an application to efficiently manage total budget/total Expense summary for personnel as well as rental use of yachts.

To facilitate easy, quick and extensive summary of expenses of the yacht for the end user.

Solution:

• The app was categorized into basic and advanced level where in it needs custom IU for end user representation.
  a) Basic category enables quick easy calculation just changing the sliders based on parameters mentioned. All representation generated using Sunburst chart and its summary.
  b) Advanced is using custom input from end user for the actual value. Here they can store their yachts. Customize their inputs for all parameters in detail
• Privilege of allowance of sharing their calculations using share functionality via Email.
• Catered to all data and log management via control panel by the admin. Feasibility for admin to manage versions for sandbox and production.