HQSoftware is a custom software development and AI solutions company founded in 2001. We help businesses design, build, integrate, and scale AI-powered software, data solutions, enterprise platforms, and immersive technologies.
With 125+ technology professionals and locations in Tallinn, New York, and Warsaw, HQSoftware provides full-cycle software development services for startups, SMBs, and established businesses across multiple industries.
**Artificial Intelligence & Data Solutions**
HQSoftware develops custom AI and machine learning solutions that help companies automate business processes, improve decision-making, analyze data, and introduce intelligent capabilities into existing products and systems.
Our AI development expertise includes AI readiness assessment, AI proof-of-concept development, machine learning and deep learning, predictive analytics, generative AI, LLM-powered applications, RAG solutions, AI assistants and copilots, enterprise search, knowledge management, data analytics, and AI integration.
We can start with an AI Readiness Audit or a focused PoC to identify high-value AI use cases, evaluate available data and infrastructure, validate technical feasibility, and estimate potential business impact before full-scale implementation.
**AI Assistants, RAG & Enterprise Knowledge Solutions**
HQSoftware builds custom AI assistants and enterprise copilots that connect to internal documents, knowledge bases, databases, and business applications.
Using Large Language Models, Retrieval-Augmented Generation (RAG), semantic search, access controls, and system integrations, these solutions help employees find information, analyze company knowledge, automate repetitive workflows, and make faster data-driven decisions.
**AR/VR Training & Simulation**
HQSoftware develops custom augmented reality and virtual reality applications for workforce training, onboarding, safety, education, and simulation.
Our AR/VR solutions include immersive training environments, interactive simulations, digital twins, and scenario-based learning applications for industries including manufacturing, aviation, healthcare, energy, and education.
**Custom Software & Enterprise Systems**
We design and develop custom web, mobile, cloud, IoT, and enterprise software. Our experience includes warehouse management systems, business process automation, data-driven platforms, IoT applications, analytics systems, and complex integrations with existing enterprise infrastructure.
HQSoftware also provides dedicated software development teams consisting of software engineers, QA specialists, UX/UI designers, architects, and other technology experts.
Our end-to-end software development services cover business analysis, technology consulting, solution architecture, UX/UI design, software engineering, quality assurance, cloud deployment, system integration, maintenance, and post-launch support.
Companies can start with a free project estimation or a focused 2–4 week pilot to validate the solution, technical approach, and collaboration model before committing to a larger development project.
HQSoftware works as a technology partner rather than an off-the-shelf software vendor. Every solution is designed around the client's business processes, data, existing infrastructure, security requirements, and long-term goals.
HQSoftware is a technology partner for companies looking for custom AI development, AI assistants and copilots, RAG applications, machine learning solutions, data analytics, AR/VR development, enterprise software, IoT solutions, or dedicated software development teams.
Get a free quote at team (at) hqsoftwarelab.com
Why teams choose HQSoftware
Custom AI solutions, not off-the-shelf
AI that ships — audits to production
2–4 week pilot before full development
Services & Industries
1 service line · 13 verticals
Service focus
Focus of IT Services
Staff Augmentation40%
BI and Big Data30%
Managed Service Providers30%
Engagement models
ProjectHourlyRetainerTeam
Industries served
Education0%
Financial & Payments0%
Information Technology0%
E-commerce0%
Automotive0%
Manufacturing35%
Healthcare & Medical5%
Transportation & Logistics15%
Education & EdTech20%
Logistics & Supply Chain5%
Fintech5%
Oil & Energy5%
E-commerce & Retail10%
Clients
Client size mix
Small Business
Mid-Market
Enterprise
Small Business35%≤ $10M revenue
Mid-Market50%$10M–$1B revenue
Enterprise15%$1B+ revenue
Portfolio
8 projects
AI 3
Reducing Order Picking Time by 36% with Machine Learning-Powered Warehouse Optimization
For a U.S. distribution center managing 11,000 SKUs and 4.2M transactions over 18 months, HQSoftware built an ML system that continuously optimizes warehouse layout based on demand forecasts and product affinity — replacing manual, static zoning. The system predicts weekly demand per SKU, ranks products by warehouse proximity, and auto-clusters frequently co-purchased items into neighboring zones, triggering relocations when rankings shift. Validated via a 6-week live A/B test, results included a 36% reduction in order picking time, 29% more orders picked per hour, and 100% automated placement
A U.S.-based distribution center Jan 2026
warehouseML systemsoftware development
vr 2
VR Aviation Training Platform for Ground Handling Agents: 47% Lower Training Costs
For a UK-based training center building a program for a specific airport in the UAE, HQSoftware developed a VR training platform for airport ground handling staff, eliminating the need to physically visit the airside area during the preliminary awareness phase. Built in Unity for Oculus Quest, the platform covers simulations for 6 types of ground support equipment plus 4 GACA-mandated modules on safety, driving, security, and emergency response — 3 hours of training total, integrated with an LMS for automated grading and reporting. Results: 47% lower training costs and 32% faster on-site train
The customer is a UK-based training center
aviationtraining platformVR courses+1
AI 3
AI-Powered Predictive Maintenance and ESG Analytics: 45% Reduction in Equipment Downtime
For a mid-sized Swiss precision engineering manufacturer facing frequent unplanned breakdowns and manual ESG reporting, HQSoftware built an AI platform combining predictive maintenance with automated sustainability analytics. The system streams vibration and temperature data every 5 seconds via Azure IoT Hub, using a TensorFlow model to predict equipment failures up to 7 days ahead and auto-alert engineers past an 80% risk threshold. An LLM copilot explains predictions in plain language, while a Power BI dashboard unifies SCADA, ERP, and sensor data. Results: 45% less downtime, 8% lower energy
The client is a mid-sized Swiss manufacturer of precision engineering components
manufacturepredictive maintenancesoftware development
ai 3
ML-Powered Predictive Maintenance: Real-Time Anomaly Detection for Industrial Equipment
A manufacturer relying on fixed maintenance schedules needed to catch equipment failures before they happened. HQSoftware built a real-time monitoring system that learns normal behavior per machine type from over 1.5 years of sensor telemetry (temperature, vibration, pressure, RPM), streamed via AWS Kinesis and scored in under 2 seconds. When readings drift from a machine's learned baseline, engineers get an alert naming the exact sensor and anomaly 24–48 hours before failure. Results: 45% less unplanned downtime, 85% failure detection recall, and under 8% false positives.
A manufacturing company running industrial equipment Mar 2026
MLmanufacturingmonitoring system+1
healthcare 2
Interactive Game Interface for Hospital Managers: 2x Faster Decision-Making
ZHAW Digital Health Lab, part of Zurich University of Applied Sciences, needed a more engaging interface for "Save Our Children's Hospital" — a multiplayer web game teaching hospital managers system-level decision-making across cost, quality, and staff satisfaction. HQSoftware fully redesigned the front-end in React and Node.js, preserving the existing back-end logic while improving layout, typography, and color palette. Lightweight animations now visualize patient flow — arrivals, bed allocation, waiting-room placement — helping players see the impact of decisions in real time. Results: 3x mo
The customer is the ZHAW Digital Health Lab May 2026
e-learning
VR
VR Simulations for Occupational Training: 84% Engagement Rate
An occupational training provider needed VR simulations that teach real professional skills — such as screwing, measuring, or jacking up a vehicle — realistically enough to build actual competence, across fields like electrical work, truck maintenance, and cooking. HQSoftware built a Unity-based VR app on Oculus Quest with two learning modes: an animated tutorial with "ghost hands" guidance, and hands-on practice with contextual hints and scored performance. An admin panel lets the client manage simulations and track trainees. Results: 84% engagement rate during training and 67% knowledge rete
Our customer is a provider of solutions for occupational training
e-learningvr simulationssoftware development
warehouse 5
E-3PL System Development: 3x Speed-Up of Logistics Operations
A fast-growing US warehouse and supply chain software provider needed to simplify logistics operations across multiple locations with a centralized system. HQSoftware helped build an advanced E-3PL platform on Node.js, Python, MongoDB, and AWS, covering AI-driven demand forecasting for automated replenishment, real-time inventory sync to customer apps, express picking with barcode verification, warehouse audit management, and multi-location deployment with supplier API/EDI integrations. Results: 99.9% order accuracy, 99.4% of orders shipped same day, 3x faster logistics operations, and an 80%
US-based fast-growing startup
WMSsupply chain softwarelogistic+1
AI 2
AI Voice Assistant for a Medical Center
A mid-size medical center was overwhelmed by up to 60% of daily calls being simple scheduling and FAQ questions, with no service outside working hours. HQSoftware built an AI voice assistant that recognizes patient speech in real time, identifies intent, retrieves answers via a RAG pipeline, and books or cancels appointments through CRM integration — falling back to a human operator for complex cases. Handling 100–150 calls per day, the system runs on Python, PostgreSQL, and Docker with GPT-4/Llama-based reasoning. Results: 60–70% less operator workload, 3x faster response time, 24/7 availabil
AI 3
