From boardroom to shop floor, from 500 sq-ft workshop to 50,000 sq-ft plant — we have a path to AI that fits your world.
You have existing PLM systems — SAP, Siemens Teamcenter, PTC Windchill, or Dassault ENOVIA. You need AI that fits into those workflows without disruption. We bring safe, governed, explainable AI that meets your compliance standards and accelerates product development.
You need an end-to-end partner. From installing IoT sensors on your machines to dashboards your operators can actually use — we handle the full journey: data collection, integration, analytics, visualization, and AI-powered product design.
You don’t need enterprise software. You need smart, affordable AI tools that grow with you. We offer modular starter packs — begin with one machine, one process, one insight — and scale from there. WhatsApp-first support included.
Four principles that run through everything we build and deploy.

Every AI model we deploy is tested for adversarial inputs, data drift, and failure modes before going live. Human-in-the-loop design for all high-stakes decisions — quality release, maintenance dispatch, design approval.

From edge devices to cloud infrastructure, we apply industrial-grade cybersecurity per IEC 62443. Your IP and operational data stay yours. On-premise, hybrid, or air-gapped deployment options available.

Explainable AI, bias audits, and regulatory alignment built into every engagement — not bolted on later. ISO/IEC 42001, EU AI Act, and IATF 16949 aligned. SHAP dashboards so engineers understand every decision.

We tie every deliverable to measurable outcomes: OEE improvement, scrap reduction, design cycle time, cost per unit. Most SME customers see ROI within 4–6 months. We track it, report it, and re-invest it.
From startups to enterprises, Aisev has helped organizations achieve remarkable results through AI-powered solutions. Here’s what some of our partners have to say.
You don’t need enterprise software. You need smart, affordable AI tools that grow with you. We offer modular starter packs — begin with one machine, one process, one insight — and scale from there. WhatsApp-first support included.
ECO cycle time in legacy Windchill reduced from 6 weeks to 9 days using AI-powered change impact analysis, automated notifications, and LLM-based document summarization.
Unplanned downtime halved at a small plastics unit. Vibration + temperature monitoring on 8 injection moulding machines, XGBoost predictive model, WhatsApp alerting. 34% maintenance cost reduction.
Sector-specific models, regional relevance, domain-deep expertise.
Built on the same platforms your engineers already rely on — extended with AI.