Proof, not promises.

Business data sat inside databases and applications that only developers or predefined reports could reach. We built an MCP-based integration layer that lets AI assistants answer natural-language questions through defined, controlled tools instead of unrestricted database access.

Business knowledge lived across policies, guides, and technical documents, and finding the right answer meant knowing exactly where to look. We built an AI knowledge assistant that uses retrieval-augmented generation to answer natural-language questions from the organization's own documents.

Remote exams need more than questions and answers. We extended a Moodle™ learning environment with AI-assisted proctoring and structured exam administration, so oversight, review, and follow-up happen inside one connected platform.

A logistics fleet needed to detect driver fatigue, distraction, and unsafe behavior before it caused an accident, not after, in a post-incident report.

A growing automation team had workflows scattered across disconnected tools, causing duplicate work, missed triggers, and no visibility into what was actually running.

A high-volume biomass supply chain ran on paper slips and spreadsheets, with no reliable offline tool for field teams and limited visibility into cash and dispatch movements.

Patients managing long-term health conditions relied on manual logs and fragmented apps, leading to missed doses, incomplete health data, and poor continuity of care.

Dental practices lose recurring revenue every time a patient goes quiet. SmileBack AI automatically identifies lapsed patients and re-engages them with personalized outreach, recovering hundreds of patients and tens of thousands in revenue per practice.

Most people are quietly bleeding money on forgotten or unused subscriptions. Cancelyy surfaces exactly what you're paying for, scores the waste, and makes cancelling the easy part, saving users an average of $624 a year.

A hosting operator managed a mixed portfolio of 80+ WordPress, custom, and LMS sites with no automated way to detect outages or diagnose them. We built and licensed them a self-hosted monitoring platform that not only alerts on downtime but uses AI to explain what caused it.

Qualitative researchers spend enormous amounts of time manually appraising studies, coding transcripts, and writing up literature reviews. We built an AI-assisted suite covering evidence synthesis, transcript coding, and automated review writing, with an OpenAI-powered document parser at its core.