iQALabs builds AI-driven solutions across the technology landscape and industrial automation. From GenAI and agentic AI to computer vision and Industry 4.0, we turn emerging technology into practical products that fit the way our clients already work.
Build AI-enabled automation solutions that scale with client needs, for small and large IT businesses (GenAI, agentic AI, ML, self-healing, self-learning, real-time monitoring, etc.)
Adopt a complete AI solution end to end, or pick individual modules that plug into your existing systems: RAG knowledge assistants, AI agents and copilots, computer vision, predictive analytics, SMART test data and environments, AI-powered test prioritization and defect prediction. Built on modern LLMs, vector search and API-first architecture, so AI fits your current stack without a rebuild.
Ready-to-use AI accelerators that need minimal technical expertise: low-code workflows, pre-built connectors, CI/CD and MLOps pipelines, and flexible cloud or private deployment. Right-sized models, including smaller and open-source ones, keep running costs predictable and put AI within reach of teams of any size.
Connecting machines, data and intelligence: IIoT, PLC/SCADA integration, predictive maintenance and computer-vision inspection.
Learn moreA private, AI-searchable knowledge base for eLearning and instructional design teams, automating the eLearning process using GenAI. Upload structured and unstructured files, ask questions in plain English, and get answers grounded only in your own documents, each with a citation to the source document and page. Generate AI-assisted storyboards, narration scripts and other eLearning deliverables.
A digital wellness platform that makes therapy support easier to reach. People can discover services and enquire, take a quick self-assessment, book appointments, attend live therapy sessions, track wearable data, use guided therapy tools, and receive follow-up after sessions. An AI wellness assistant supports users 24x7, and a monitoring dashboard helps care teams follow progress.
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