Intemic provides a SaaS platform that consolidates industrial time‑series data from sensors, PLCs, SCADA, ERP systems and cloud services into a unified, searchable repository. The solution offers a no‑code/low‑code canvas for building dataflows, AI‑augmented physics models for real‑time predictive analytics and anomaly detection, and automated ESG reporting with live dashboards and alerts.
Funding
$134.3K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Industrial facilities generate large volumes of time‑series data from sensors, SCADA systems, and enterprise applications, yet the data remains siloed in disparate tools that require specialist expertise to extract actionable insights. This fragmentation prevents real‑time monitoring, predictive maintenance, and efficient ESG reporting, leading to higher operating costs, waste, and compliance risk.
Solution
Intemic delivers a SaaS‑based data intelligence platform that centralizes and orchestrates industrial time‑series data into a unified, searchable repository. Users construct custom dataflows with an intuitive no‑code canvas that can be extended to low‑code Python scripts for advanced modeling. Integrated AI and physics‑based machine‑learning models provide real‑time predictive analytics, anomaly detection, and scenario simulation without the need for a dedicated data science team. The platform generates live dashboards, automated alerts, and ESG metrics, enabling operators to act instantly and auditors to produce compliance reports in days rather than weeks. Deployment options include on‑premise or cloud hosting, with enterprise‑grade security and version control to ensure data integrity and traceability.
Target Audience
Primary users are process engineers, operations and maintenance teams, and auditors in manufacturing, energy & utilities, life‑science, and smart‑city sectors who need real‑time insights and automated compliance reporting.
Features
- Real‑time multi‑source ingestion from sensors, PLCs, SCADA, ERP, and cloud services via standard OPC-UA, MQTT, and REST APIs
- Infinite collaborative canvas for building, testing, and versioning dataflows with drag‑and‑drop nodes and optional low‑code Python extensions
- Hybrid AI models that combine data‑driven machine learning with physics‑based simulations for high‑accuracy predictions (≥85% accuracy)
- Built‑in circular process modeling to represent complex, looped workflows across material, energy, and water streams
- Live dashboards with customizable KPIs, threshold alerts, and drill‑down visualizations for immediate operational decisions
- Automated ESG reporting module (Comply) that aggregates Scope 1‑3 emissions, generates audit templates, and supports regulatory standards (ISO 27001, SOC 2 Type II, GDPR)
- Role‑based access control, audit logging, and end‑to‑end encryption for secure multi‑tenant operation
- Pre‑configured industry templates for manufacturing, energy & utilities, life sciences, and smart‑city applications