Продукт, спроектированный под ваш бизнес
Рутинные проверки и расчеты завода — ИИ-агентам: чертежи, линии, оборудование и журналы проверяются поэтапно по стандартам; охватывают технологическое ценообразование, планирование, обслуживание, промбезопасность и энергию — решения на данных и прослеживаемые.
An AI agent for every role on the factory floor
The solution connects order, production, equipment, energy, quality and warehouse data, and assigns dedicated agents to roles such as quoting, scheduling, maintenance and EHS. Managers ask about operations in natural language; to-do tasks are pushed automatically to the right role.
Every AI recommendation carries its data basis and historical cases; critical actions are confirmed by professional staff (human-in-the-loop), keeping decisions traceable and risks controlled.
Core capabilities (planned)
AI document & drawing review
Drawings, quotations, ledgers and site photos checked item by item against company standards, with anomalies flagged and justified.
AI process quoting
Fast estimation of hours and cost from the process knowledge base and historical quotes — one consistent quoting standard.
AI production scheduling
Orders, capacity, materials and due dates linked; dynamic schedule proposals with manual adjustment.
Maintenance agent
Fast fault localization, predictive-maintenance reminders and closed-loop repair work orders.
EHS & energy monitoring
Energy tracing across processes, abnormal-usage and hazard alerts, linked to disposal workflows.
Operations cockpit
Ask operational data in natural language; daily/weekly reports and anomaly analysis generated automatically.
Typical scenarios
Equipment & parts manufacturing
Agents cooperate across quoting, scheduling, quality and after-sales.
Process plants
Energy and EHS focused; AI monitors continuously and assists optimization.
Multi-site groups
One cockpit across plants with unified data and natural-language inquiry.
Implementation value
Evidence-based decisions
Every recommendation backed by data, rules and cases — no gut-feel calls.
Higher efficiency
Review, accounting and reporting largely automated; people focus on high-value work.
Safe adoption
Human-in-the-loop and real-scenario evaluation keep AI suggestions genuinely useful.