"We went from fragmented reporting to a single operational view. Mirage Metrics delivered fast, integrated with our systems, and the team stayed close to the field until it worked."
Operations Director
Transwin
AI-Native Operating System for Logistics, Construction, Mining & Manufacturing
Connect your data. Build your ontology. Deploy AI agents that run your workflows end to end.
Trusted by operators across Europe, Africa, and the US
Enterprise AI Platform: Data Integration, Ontologies & AI Agents
Mirage Metrics is a platform that connects every system you run, models the nouns and verbs of your operations, and runs AI agents on top of that model.
Data Unity
ERPs, TMSs, telematics, IoT, finance systems.
Ontology
Trucks, shipments, invoices, mines, lots, loads, work orders.
AI Agents
Copilots and automations that act on live data.
Industry-Specific AI Solutions: Logistics, Construction, Mining, Manufacturing
Explore Our Flagship AI Products
Dedicated AI platforms for specific industries, each with deep functionality and proven results
OrderFlow
Automated Order Intake System
Process orders from emails, calls, and documents automatically. AI extracts details, validates data, and updates your ERP in real-time.
- Email & voice order processing
- Automatic ERP integration
- 95% accuracy rate
Used by 15+ distributors
Construction Intelligence
AI-Native OS for Construction
Complete operating system for construction operations. Manage projects, equipment, work orders, and compliance from one AI-powered platform.
- Project & work order management
- Equipment tracking & maintenance
- Real-time compliance monitoring
40% reduction in project delays
Mining Exploration
AI-Guided Geoscience Platform
Accelerate mineral discovery with AI-powered geoscience. Analyze geological data, predict deposits, and optimize exploration strategies.
- AI-guided exploration targeting
- Geological data analysis
- Predictive deposit modeling
3x faster discovery rates
Connect to the Systems You Already Use
200+ enterprise-grade connectors across ERP, TMS, telematics, and industrial systems.
ERP
- SAPSupported. Configure in minutes.
- Oracle NetSuiteSupported. Configure in minutes.
- Microsoft Dynamics 365Supported. Configure in minutes.
- OdooSupported. Configure in minutes.
TMS
- McLeod SoftwareSupported. Configure in minutes.
- MercuryGateSupported. Configure in minutes.
- TMWSupported. Configure in minutes.
- Oracle TMSSupported. Configure in minutes.
Telematics & IoT
- GeotabSupported. Configure in minutes.
- SamsaraSupported. Configure in minutes.
- WialonSupported. Configure in minutes.
- FleetCompleteSupported. Configure in minutes.
Industrial / SCADA
- AVEVASupported. Configure in minutes.
- WonderwareSupported. Configure in minutes.
- IgnitionSupported. Configure in minutes.
- OSIsoft PISupported. Configure in minutes.
200+ enterprise connectors. Enterprise-grade security. Deployed worldwide.
Deploy AI Agents in Days, Not Months
Our platform enables rapid AI agent development and deployment with pre-built tools, enterprise guardrails, and production-ready infrastructure.
1
Connect Your Data
Use our 200+ connectors or custom APIs to unify your systems
2
Define Your Ontology
Map your business entities and relationships with our visual tools
3
Deploy AI Agents
Choose from pre-built agents or build custom ones with our SDK
4
Monitor & Scale
Full observability with audit trails and performance metrics
Enterprise-Grade Features
Security & Compliance
SOC2, GDPR, HIPAA ready
RBAC & SSO
Role-based access control
Full Audit Trail
Every action logged
Deploy Anywhere
Cloud, on-prem, hybrid
Enterprise-Grade Security & Compliance
Built for the most demanding IT and data security requirements. Deploy with confidence in regulated industries.
Zero Trust Architecture
End-to-end encryption with identity-based access controls
Data Security
Enterprise-grade data protection with encryption and compliance
Comprehensive Security Features
Data Protection
- AES-256 encryption
- Data masking & tokenization
- PII detection & protection
Access Control
- Multi-factor authentication
- SAML/OIDC SSO
- Granular RBAC
Monitoring
- Real-time threat detection
- Behavioral analytics
- Incident response automation
Compliance
- GDPR & CCPA ready
- HIPAA compliance
- Industry certifications
What You Get
Operational clarity
one source of truth across teams
Faster execution
agents handle the repetitive work
Lower costs
fuel, downtime, fines, admin time
Fewer risks
alerts, compliance, audit trail
Open by design
APIs, exports, your stack or ours
Built for change
new systems and rules slot into the ontology
What Customers Say
Real results from operators who deployed our platform
"They automated the painful parts: document flows, data consolidation, and the recurring back-and-forth between teams. Results were visible in days, not months."
Head of Operations
Biodéal
"We needed something operational, not a slide deck. Mirage Metrics shipped a working system quickly and adapted it to our real constraints as they surfaced."
IT & Digital Lead
AgroFlow
"We integrated with our existing stack and delivered an AI-assisted workflow that reduced manual checking and improved traceability across project documents."
Project Controls Manager
Industrial Engineering Group (Morocco)
"We tested on real project packages and got usable outputs immediately. It reduced coordination overhead and improved the way we handle changes and revisions."
Operations Manager
Major EPC / Construction Group
"Mirage Metrics helped us centralize operational data and cut time spent chasing information. The system is simple, auditable, and actually used by teams."
Head of Transformation
Large Industrial Operator
Frequently Asked Questions
Technical details about our AI platform, agents, and deployment
What is the Mirage Metrics technical stack?
Our stack is Python-first and cloud-agnostic. We build on modern data infrastructure (cloud data warehouses, event pipelines, APIs), deploy custom AI services, and integrate directly with client systems. Models, agents, and orchestration are owned and operated by us, not delegated to third-party automation tools.
Do you use off-the-shelf LLMs or your own models?
We use a hybrid approach. Base foundation models are combined with our own fine-tuned models and task-specific models trained on customer data, schemas, and documents. Model choice depends on the task: extraction, classification, reasoning, validation, or decision support.
How are AI agents designed?
Agents are deterministic-first systems augmented with models. Each agent has a clear scope, inputs, outputs, validation rules, and escalation paths. They do not operate as free-form chatbots but as controlled services embedded in operational workflows.
How does agent orchestration work?
Agents are orchestrated through explicit workflows and state machines. Outputs from one agent become validated inputs for the next. This allows multi-step processes like order intake, document reconciliation, exception handling, and reporting to run reliably with full traceability.
What types of agents do you typically deploy?
Common agents include order intake agents, document understanding agents, validation and reconciliation agents, coordination agents between teams or systems, and monitoring agents that detect anomalies or missing actions across workflows.
Can Mirage Metrics run on-premise?
Yes. We support on-premise, cloud, or hybrid deployments. Agents and models can run inside your infrastructure, including restricted networks, with no dependency on external SaaS tools if required.
Which cloud providers are supported?
We deploy on AWS, GCP, or Azure, or inside a customer-managed Kubernetes or VM environment. The architecture is portable and does not rely on vendor-specific managed AI services.
How do you handle data isolation and security?
Each client environment is isolated. Data is encrypted at rest and in transit, access is role-based, and all agent actions are logged. For regulated environments, models can be deployed without data ever leaving the client’s perimeter.
How do you monitor and improve agent performance?
We track precision, recall, exception rates, and human correction feedback per agent. This feedback loop is used to retrain models, adjust rules, and improve workflows over time without breaking production systems.
How is this different from automation tools or RPA?
RPA automates screens. We automate decisions. Agents reason over structured and unstructured data, adapt to variations, and operate across systems instead of mimicking clicks in a single interface.