Two independent Rayocom products — each deployable on its own
Trusted across regulated and critical-infrastructure sectors
Lower cost-per-contact in AI-assisted contact centres
Workforce cost savings with WFM forecasting & scheduling
Private 5G latency for real-time control loops
Bytes of your data sent to external AI providers
The platform
Most organisations buy AI, industrial monitoring and networking from three different vendors, then spend two years wiring them together. Rayocom ships them as a single, self-hosted stack.
Large language models, a RAG engine over your own documents, vector search, Voice AI and AI agents — all running inside your data centre on 1–8 GPUs.
A digital twin of your critical assets, updated from live sensor data. Detects anomalies, predicts failure and explains what to do next using your own manuals and maintenance history.
A dedicated 5G network built for one organisation — factory, port, campus or hospital — with full control over coverage, capacity, security and where data lives.
Private AI Cloud
Confidential documents, customer records and financial data shouldn't be processed on someone else's infrastructure. Rayocom's Private AI Cloud ingests PDFs, Word, Excel, email, SharePoint, file servers, ERP and CRM into a vector database, then answers questions with citations — without a single byte leaving your perimeter.
Answers grounded in verified internal documents, with the source cited every time. No fine-tuning required.
Chained STT → LLM → TTS, so field operators and agents can query the system hands-free.
Start with a pilot on a single GPU, grow to thousands of concurrent users without re-architecting.
Point your existing OpenAI SDK calls at Rayocom and keep every line of application code.
Multi-layer architecture
Every layer sits inside the enterprise boundary. Internet connectivity is optional, not required.
Scenario · Critical compressor
Vibration, temperature, pressure and current stream in from the asset every second.
AI Box detects a deviation on-site — no round trip to a cloud region.
The live model surfaces current state plus probability of failure over the next 30 days.
Grounded in manuals, SOPs and past repair records — a specific, auditable next step.
AI Box · Industrial Edge AI
In most plants there is plenty of data and very little confident, timely decision-making. Values sit isolated across PLC, DCS, historians, maintenance documents and operator notebooks — so insight arrives late and incomplete.
AI Box is the missing layer between OT and AI: a data concentrator that translates protocols, cleans and time-aligns signals, then an edge engine combining digital twin + RAG/LLM + real-time analytics + predictive models.
Private 5G
Unlike public 5G operated by a carrier, a private network gives the enterprise full control over coverage, capacity, security and data management — deployed on your premises.
Multi-gigabit rates for video analytics, digital twins and AR/VR workloads.
Real-time control for robotics, AGVs and industrial automation.
Sensitive traffic stays on-site instead of traversing a public carrier core.
Redundancy and predictable performance under load, by design.
| Capability | Private 5G | Enterprise Wi-Fi |
|---|---|---|
| Latency & determinism | Predictable, ~1 ms | Variable, contention-based |
| Coverage per node | Wide area, outdoor-capable | Short range, dense APs |
| Mobility / handover | Seamless, carrier-grade | Roaming gaps between APs |
| Quality of service | Per-device slicing & SLA | Best-effort |
| SIM-based identity | Built in | Certificate / PSK |
Deployed today across manufacturing, shopping malls, smart cities & ports, transportation, mining and oil & gas.
How it works
Attach to sensors, PLC, DCS, SCADA and historians via OPC UA, Modbus, MQTT, HART, PROFINET and more — plus ERP, CRM and file servers on the IT side.
The data concentrator translates protocols, cleans values, aligns timestamps and buffers through outages — so the AI layer receives trustworthy, standard data.
Digital twin, predictive models and RAG-grounded LLMs run together at the edge, learning patterns from live telemetry and institutional knowledge.
Dashboards, alerts, chat and AI agents that execute multi-step tasks — updating CRM, filing work orders and notifying the right person automatically.
Connectors
We start from the equipment you already own. No forklift upgrade, no full infrastructure replacement.
AI Agents & Workflow
Rayocom agents send email, generate management reports, drive the ERP, update CRM records and process HR requests independently. You describe the outcome; the agent designs and executes the intermediate steps.
For process owners, a graphical no-code builder handles conditional workflows without involving IT.
See an agent in actionWorkflow · invoice approval
2.4 s totalA cycle that previously took hours now completes in seconds — with a full audit trail.
Applied solutions
Replace rigid IVR menus with natural-language understanding. Callers state what they need and reach the right resolution or agent immediately.
Manual shift planning is slow and error-prone, and demand forecasting based on intuition puts the wrong number of people in the wrong hours.
Industries
Digital twins of critical rotating equipment, predictive maintenance, gas & leak detection, energy optimisation.
Automated NOC triage, network optimisation, AI-assisted contact centres and SNMP-driven fault prediction.
Intelligent customer service, credit analysis support and regulatory compliance — with total data sovereignty.
Faster citizen response and smart e-services while classified information never leaves the perimeter.
Smart medical records, clinical decision support, research and alumni knowledge management.
Private 5G coverage over large sites, autonomous vehicles, remote operations and grid monitoring.
Security & governance
Public AI services process classified documents, customer information and financial data outside your control. That's a disclosure risk and a compliance problem. Rayocom removes the question entirely: all processing happens inside the organisation and no data reaches the internet.
Also removes the bill. External LLM APIs charge per request, and enterprise usage grows those costs exponentially. Once deployed, that line item goes to zero — and pricing changes or throttling by foreign providers stop being your problem.
Full integration with the identity systems you already run. No parallel user directory.
Precise permissions per user and business unit. Nobody sees beyond their authority.
Every user and system action recorded in detail and available for review.
Independent business units share the platform with fully separated data.
Hardware
Software is only useful if the network underneath it holds. Rayocom supplies, integrates and supports the transport and power equipment alongside the platform.
Access, aggregation and core platforms for campus and industrial deployments, including the SR-series routers.
Hardened outdoor optical line terminals and XPON gateways for fibre-to-the-premises and site backhaul.
Indoor and outdoor customer premises equipment to terminate private 5G at the machine or the desk.
Rack-mount 48 V/200 Ah energy storage for site resilience and telecom shelter backup.
Hot-swappable rectifier and controller modules for DC power plants at remote sites.
GPU-equipped industrial appliance running the digital twin, models and assistant directly at the site.
Customers
The operations team stopped living in emergency mode. We get a warning days before something breaks, and the assistant tells us which procedure applies — with the document attached.
Our compliance team approved it in one meeting. Nothing leaves the building, we authenticate against Active Directory, and every query is in the audit log.
Shift planning used to take a manager two days a month and still upset people. Now it's generated, it respects labour rules, and staff can swap shifts themselves.
Engagement models
Perpetual on-premises licensing with annual support. No per-token charges, no usage metering.
Prove the value on a narrow scope, in weeks not quarters.
A production deployment for one business unit or plant.
Multi-site, multi-tenant, including private 5G and hardware supply.
Resources
From sensor to operational decision — the data concentrator, edge/core/cloud split and pilot plan.
Latency, mobility, coverage and QoS compared, with deployment models and use cases.
Where the savings actually come from: API elimination, contact centre cost, search time and workflow automation.
Usually not. The platform installs on existing servers and doesn't require changes to your network architecture. Your IT team can complete the deployment without deep AI expertise — typically in under 15 minutes for the base install. If you need GPUs or edge appliances, we supply them.
Yes. All inference and analysis happen inside your perimeter, and the edge layer buffers data through connectivity loss. Internet access is optional — used only if you choose to train larger models in a central or cloud environment.
No. Personalisation comes from retrieval, not retraining. Documents are converted into semantic vectors and stored in the vector database, so answers cite your actual regulations, contracts, technical instructions and circulars — and stay current as documents change.
Through the data concentrator layer, which handles OPC UA/DA, Modbus TCP/RTU, PROFIBUS/PROFINET, HART, EtherNet/IP, DNP3, IEC 60870 and serial RS-485. It isolates protocol complexity and delivers standardised, quality-checked, time-aligned data to the AI layer.
Yes — natively, including two-way voice interaction via speech-to-text and text-to-speech. This matters for field operators, contact centre staff and any user who can't type while working.
The API is OpenAI-compatible, so in most cases you change the base URL and the API key. Your existing application code, SDKs and prompt logic keep working — protecting the software investment you've already made.
Pick one critical asset, connect live data, build an initial digital twin, and demonstrate the dashboard plus intelligent assistant in a limited pilot. Narrow scope, measurable outcome, then expand unit by unit.
Tell us about one asset, one process or one team that's costing you more than it should. We'll come back with a scoped pilot, a timeline and the measurable outcome we'd hold ourselves to.