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00. / AI System / TuplOS

The proven
AI automation system

TuplOS brings your domain experts and AI agents into one governed workspace, where engineer expertise is captured, reused, and compounded into automation that scales.

AI Care platform dashboard
First Call Resolution Rate
94%
 +22pp vs. industry baseline
 Calls resolved on first contact
Energy Market Price (24h)
Market
AI Optimized
Live
00:0006:0012:0018:0023:59
Automation for Energy Efficiency
100%
 Zero manual intervention
 Closed-loop optimization active
Network Advisor dashboard
Reduction in Manual Troubleshooting
90%
 Faster than manual process
 Issues resolved per session
Network Incident Monitor
Live
Transport degradation · Zone NW-14Triaging
Environmental alarm · Site 7203-CADetected
Power alarm · Site 4821-TXResolved
1,247
Resolved today
92%
Auto-resolved L1
4.2m
Avg MTTR
Automated NOC Level 1
92%
 Level 1 tickets resolved autonomously
 Live NOC performance
Facility Monitoring
24 / 7
Live
Data Center A
Nominal
1.28PUE
2.1 MWPower
21°CTemp
AI handling alert…
Telco Node B
Nominal
1.31PUE
1.8 MWPower
22°CTemp
AI handling alert…
Colocation C
Nominal
1.26PUE
3.4 MWPower
20°CTemp
AI handling alert…
Network Hub D
Nominal
1.35PUE
2.7 MWPower
23°CTemp
AI handling alert…
247 ops auto-handled
0 on-site dispatches
On-site Processing Time
95%
 Faster than manual operations
 Remote AI operations active
Visual Inspection, Line 3
Scanning
248Pass
3Reject
99.4%Accuracy
Defect Detection Accuracy
99.4%
 vs. 76% manual inspection
 Real-time detection active
The Tupl Difference

GenAI explores and creates, TuplOS governs and executes

Every actuation deterministic, auditable, production-grade

Overview

TuplOS makes
operations simple

TuplOS is the foundation underneath every Tupl product. It connects to your systems, learns from your domain experts, and turns their decisions into agents that handle operations autonomously.

The result: a system where every new use case ships faster than the last, because every previous one made the next one easier.

Agentic Framework
Governance: Active
Data Agent
● Active
AI Agent
● Predicting
Ops Agent
● Running
Expertise captured from
47 engineers
Automated Actions Executed
47,382 today
98%
Faster
decision-making
11×
Faster automation
journey
80%
Reduction
in TCO
Agents

What a TuplOS agent actually does

A TuplOS agent is a scoped, governed unit of automation that executes specific work: diagnosing an issue, recommending an action, or closing a loop.

Each agent runs deterministically inside defined guardrails, draws on the Hive for operational context, and is built using Agent Builder and trained on knowledge from your own domain experts.

TuplOS ships with a set of ready-to-run agents, built and maintained by Tupl. As your team scales automation, every agent your team builds is yours, governed by your rules.

Agent Builder Builds and governs every agent AGENT Expert Analyzer Domain expert AGENT Logic Architect TuplOS expert SHARED Hive Operational context
The Flywheel

Every use case builds on the last

Each resolved use case adds reusable assets to the Hive, TuplOS's knowledge plane: components, operational knowledge, agent skills, and automation coverage.

The Hive captures case, cause, action, and outcome as reusable memory, so every deployment starts further ahead, and ships faster than the last.

1
Process & Surface
Operational data is processed deterministically. ML and agents surface unknown patterns.
2
Diagnose & Draft
Humans and agents diagnose. Agents draft new assets: a feature, a rule, a pipeline, or an action.
3
Govern & Promote
Governance reviews, versions, and promotes the asset to production.
4
Capture & Compound
The Hive captures case, cause, action, and outcome as reusable knowledge.
How It Works

From data to action,
in three steps

TuplOS consolidates data access, orchestration, security, and the UI framework under a single governed system, ensuring every new automation builds on shared components

Connect &
Transform

Integrate systems, ingest data, and turn complexity into clarity. Your automation starts with a unified, reliable data foundation that feeds every AI agent in the system.

CRM / ERP
Network OSS
Sensors / MQTT
TuplOS Data Layer
Unified · Governed · Real-time
Unified data foundation from any source
Ingest data from any system, on-prem or cloud, and normalize it into a unified, governed layer that powers all downstream AI agents and workflows.
Adaptable data ingestion
Ingest any data type, customize workflows, and manage models with ease. Built to flex around your operational reality without requiring deep engineering.

Predict &
Optimize

Harness machine learning to anticipate outcomes, detect anomalies, and flag risks before they impact operations. TuplOS uses whitebox ML, so every prediction is explainable and every decision traceable back to the data and logic that produced it.

0.0% Accuracy
Historical Predicted
Anticipate outcomes before they happen
AI and ML models continuously learn from your operational data, detecting anomalies and predicting outcomes so teams can act before issues escalate.
Models that learn from your experts
Update data flows, features, and ML models with a no-code interface and AI assistant. Every model sharpens as your team's expertise grows, no deep ML background required.

Automate &
Orchestrate

Convert insights into governed action. TuplOS automates workflows and orchestrates processes deterministically. Same input, same logic, same outcome, every time. Every action is auditable, reversible, and inside the operational guardrails your team defines.

Ingest
Predict
Trigger
Execute
Verify
Zero-touch workflow orchestration
TuplOS automates end-to-end workflows from signal to resolution, with full auditability, rollback, and continuous learning built in.
Minutes
From signal to resolution
Faster Journey
80%
Less Manual Work
Days
Time to Value
Measurable results from day one
Deploy on-prem, cloud, or hybrid with Kubernetes-native scalability. Turn data, models, and workflows into production-ready use cases in days, not months.
Integrations

TuplOS integrates with your entire tech stack

TuplOS connects natively with the industry's leading cloud providers, OSS/BSS systems, AI models, and observability tools, so you can automate across your existing infrastructure without ripping and replacing.

AWS
Anthropic
Automated Logic
Cisco
Downdetector
Ericsson
Google
Google Maps
Microsoft Azure
Microsoft
Nokia
OpenAI
SAP
ServiceNow
Siemens
Snowflake
Spectrum
Splunk
ZTE
Huawei
Ollama
Samsung
Allicon
TrueCall
Why TuplOS

Six structural differences

What makes TuplOS structurally different from cloud AI platforms, data platforms, and point automation tools

AI-native core
Agents are first-class citizens of the system, not a bolt-on added after the fact.
Operational depth
Closed-loop orchestration links insight directly to governed action. The half of the loop others skip.
White-box, operator-owned ML
Domain experts build and understand the models running in production. No black-box vendor dependency.
Knowledge compounding
The Hive turns every resolved case, asset, and correction into reusable operational memory.
Hybrid sovereignty
Any cloud, any model, on-prem where needed. Switching any of them is configuration, not a rebuild.
We run on it ourselves
Tupl runs its own multi-vertical business on the same system and Agent Builder it sells. Not slideware.
Architecture

TuplOS Architecture

Four layers, two planes

TuplOS
Hyperautomation System
Execution layers
Experience
UIs & templates · Editors · Monitoring · Chat
Intelligence
AI Agents · Agent Builder · MLTK
Runtime
Tupl Streams · Automation Engine · Action Manager
Foundation
Tuplix · Data I/O · Storage · Messaging
Technology

Core agentic
components

Five core technology components that form the backbone of the TuplOS hyperautomation system

AI Agent Builder
Design, train, and deploy AI agents that learn from your domain experts and operate autonomously at scale.
The Hive
The knowledge plane that spans every layer, capturing operational memory: resolved cases, reusable assets, agent skills, and corrections.
Tupl Editors
No-code visual editors that let domain experts configure data flows, models, and automation logic without writing code.
UI Framework
A composable, unified UI framework for building custom operational interfaces on top of TuplOS capabilities.
Chatbot & Messaging
Conversational interfaces for interacting with AI agents, receiving alerts, and triggering actions across all operations.
FAQ

TuplOS FAQ

Hyperautomation combines AI, machine learning, and automation tools to streamline complex workflows end-to-end. By leveraging advanced automation, it reduces workload, boosts productivity, and enables teams to focus on high-value tasks.
TuplOS consolidates data access, orchestration, security, and the UI framework under a single governed system, ensuring that each new automation builds on shared components and previous expert knowledge. This approach drastically reduces time-to-value, improves maintainability, and makes innovation repeatable.
Every complex process an organization needs to optimize across industries such as telecommunications, manufacturing, logistics, healthcare, and beyond.

TuplOS delivers hyperautomation powered by Agentic AI, turning complex processes into streamlined, intelligent workflows. Key benefits include:

  • Workload reduction through automation and knowledge reuse
  • Faster resolution times with AI-driven decision-making
  • Consistent, scalable operations across multiple domains
  • Empowered teams to focus on high-value tasks instead of repetitive work
Get Started

See TuplOS at work in your operations

Trusted by operators in 30+ countries