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Main Sacorn MLOps Platform

Sacorn
MLOps Platform

The Foundation of Intelligent Operations
Sacorn (สกรรณ์) is a Thai word meaning "foundation," "base". This reflects the platform's philosophy: Sacorn is the foundation for building resilient and transparent MLOps processes, helping system integrators and enterprise customers manage the lifecycle of AI models as reliably as Zabbix manages infrastructure.

Sacorn is a human-machine trust framework that ensures transparency, control, and efficiency
of AI processes at all levels

What is Sacorn used for?

Sacorn is a domestically produced enterprise-grade MLOps platform designed for:
System integrators implementing AI-based solutions
Organizations that need to monitor the performance, reliability, and security of AI system
Enterprise teams managing ML models in production
The platform integrates monitoring, orchestration, and lifecycle control of ML models, providing a full stack of tools — from data and pipelines to real-time predictions and deviations

Sacorn Architecture Core Server

01
Agent management and coordination center
02
Collection of metrics, logs, drift data, and production KPIs
03
API-first design (REST/gRPC) for easy integration
04
Edge Agents
05
Lightweight agents installed on the client (cloud, on-premise, edge)
06
Collection of telemetry, logs, system metrics, and model status
07
Model Lifecycle Manager
08
CI/CD automation for models (deployment, versioning, rollback)
09
Drift Detection, data and model quality monitoring
10
Integrations: Kubeflow, MLflow, Airflow, GitLab CI
11
Metrics & Alerting Engine
12
Triggers and rules for AI metrics
13
Configure thresholds for precision, recall, latency, and drift score
14
Notifications: LINE, Telegram, Slack, Teams, Email
15
Web Console
16
Visualization of metrics and model performance
17
Agent and pipeline configuration management
18
RBAC, SSO, Audit Logs

Sacorn Key Benefits

Local Product
Developed and supported in Thailand – meets security requirements and standards
Inspired by Zabbix
Applies monitoring and centralized control principles familiar to IT engineers
Full MLOps lifecycle
From data to deployment and model monitoring – everything in one system
Flexible Integration
Supports existing DevOps infrastructure (Jenkins, GitLab, Kubernetes).
Model Observability
Automatic detection of model degradation and drift effects
Enterprise-grade reliability
Scalability, fault tolerance, encryption, auditing

Positioning

Sacorn is a platform for those building the AI ​​infrastructure of the future.
It transforms the chaos of experiments into a manageable ecosystem, ensuring
Transparency in model operation
Confidence in decision making
Speed of releases
Data quality control

Sacorn's mission is to create a sustainable Thai ecosystem for industrial AI, where every model is supervised and every integration is controlled.

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