iQueSoft

iQueSoft now presents itself as a practice focused on computer vision, machine learning and AI integration. The work is described as building production grade systems from raw data and sensors, and it is run by a single engineer who calls on a trusted team when the scope grows.

Computer vision on edge devices

The computer vision service spots and follows objects in live footage. The systems are designed to run autonomously on edge devices without relying on the cloud, which the practice describes as taking a project from the sensor to a working product. The tools named for this work include OpenCV, ONNX and TensorRT, with hardware such as NVIDIA Jetson boards, Raspberry Pi units and x86 or ARM processors.

Predictive analytics and machine learning pipelines

The machine learning offer is built around pipelines that look for the patterns in a client's data that predict an outcome, such as demand, prices or risk. Each model is tested on fresh data before it is relied on, and the practice uses methods such as feature engineering and backtesting, with ML.NET, LightGBM and PyTorch among the frameworks listed.

AI integration, language models and automation

The AI integration service puts artificial intelligence inside a client's own product. The work covers speech recognition and synthesis, turning images and documents into structured data, assistants and search built over a client's own material, and automation of business processes. The site lists RAG, embeddings, function calling and agent designs among the techniques it uses, and it says these are built on large language model interfaces from several providers.

How the work is run

The practice says it examines a problem closely before building, looking ahead to spot the pitfalls and the fixes before they become the client's problem. It describes one owner for each project, responsible for every stage from the brief and architecture through development, deployment and support, with progress reported in plain language. The core stack is C

on .NET, with C++ and Python, and the back end is built with ASP.NET Core, REST or gRPC interfaces and Docker containers.

Who it advises

The site says the practice works with people and businesses that are building something ambitious in computer vision, machine learning or AI, and it invites clients to describe their task in plain words before any technical detail is settled.