Sky Robotics
Sky Robotics · RoboBrain Cloud Platform

Giving Robots
A True Mind

RoboBrain Cloud — the AI-native cloud brain platform for globally deployed intelligent robots. Covering perception, reasoning, multilingual interaction, remote operations, and continuous learning — serving 50+ markets worldwide.

50+
Global Markets
15+
Languages
7×24h
Always-On AI
60%
Ops Cost Reduction
Core Capabilities

RoboBrain Cloud
Four AI Modules, One Unified Platform

Sky Robotics' proprietary RoboBrain Cloud platform places generative AI at the center of every function — delivering a continuously evolving cloud intelligence layer for exported industrial and service robots, covering the complete chain from perception to interaction to maintenance to autonomous learning.

🧠
BrainCore
Multimodal Perception & Reasoning
Fuses camera imagery, LiDAR point clouds, and sensor streams to perform real-time scene understanding, object recognition, and dynamic task planning via large multimodal models in the cloud — giving robots the ability to handle novel, unscripted situations.
💬
LinguaBot
Multilingual Natural Language Interface
Supports 15+ languages including Arabic, Indonesian, Thai, Vietnamese, and English. Operators issue commands in their native tongue; LinguaBot parses intent and translates it into executable robot action sequences — zero training required.
🔧
RemoteOps
Cloud-Based Remote Maintenance
Monitors robot health 24/7. Fuses sensor data and visual imagery for AI-driven fault diagnosis. Predicts critical component failures 30 days in advance. Guides local operators through repairs in their language — no on-site engineer needed.
🔄
SceneAdapt
Federated Scene Learning System
Using federated learning, SceneAdapt shares operational intelligence across the global robot fleet without exposing raw customer data — creating a data flywheel that makes every Sky Robotics deployment smarter with every hour of operation.
🛡️
Secure Network
Enterprise-Grade Data Security
End-to-end encrypted dedicated communication channel between robots and cloud. Compliant with GDPR, Saudi PDPL, Thailand PDPA, and other major data protection frameworks. Customer data never leaves their jurisdiction.
📊
Fleet Intelligence
Unified Operations Dashboard
Real-time visibility across your entire global robot fleet — health scores, task completion rates, energy consumption, and anomaly alerts — filterable by region, model, and customer. Operational data becomes a strategic asset.
// 01 · BRAINCORE

Multimodal Perception & Reasoning Engine

Conventional robots operate through pre-programmed rules — reliable within defined parameters, helpless outside them. BrainCore replaces the finite state machine with a large multimodal AI model, ingesting camera streams, LiDAR point clouds, force sensors, and microphone audio simultaneously to perform genuine scene comprehension and dynamic task planning.

Each full reasoning cycle is a high-token-density process: continuous multi-frame visual understanding, cross-modal signal fusion, long-sequence task decomposition. This is generative AI's most transformative application in robotics — elevating machines from programmed tools to genuine cognitive collaborators.

  • Real-time semantic scene parsing — object recognition, human tracking, dynamic obstacle detection
  • Cross-modal fusion reasoning — completing compound judgments no single sensor can handle alone
  • Long-horizon task planning — decomposing abstract goals into ordered executable action sequences
  • Low-confidence scene escalation — human confirmation requests before uncertain actions execute
  • Sub-200ms end-to-end latency — meeting industrial real-time control requirements
// BRAINCORE ENGINE
Real-Time Reasoning Stack
Camera stream → Scene understanding model
LiDAR point cloud → 3D spatial mapping
Sensor time series → Anomaly detection
Multimodal fusion → Task decision output
Action commands → Robot body execution
<200ms
Inference latency
99.2%
Recognition accuracy
// LINGUABOT · 15+ LANGUAGES
Native Language Commands
🇸🇦 Arabic — real-time understanding
🇮🇩 Bahasa Indonesia — full NLU support
🇹🇭 Thai — natural dialogue management
🇻🇳 Vietnamese — command parsing
🇬🇧 English — multi-turn conversation
15+
Languages
96%
Intent accuracy
<1s
Response time
// 02 · LINGUABOT

Multilingual Natural Language Interface

The language barrier is the single largest obstacle in robot globalization. Traditionally, overseas operators face months of training to operate Chinese-interface robots — a cost that erodes the economics of deployment. LinguaBot eliminates this barrier entirely: operators speak or type in their native language, and the system understands immediately.

LinguaBot handles not just imperative commands but descriptive language ("that red box"), vague instructions ("be careful"), and contextual references ("do it like yesterday") — making the robot a genuine collaborative partner rather than a machine that must be learned.

  • 15+ language real-time intent understanding — covering all major target export markets
  • Ambiguity resolution and contextual inference — clarification requests in the same language
  • Multi-turn dialogue history management — supports continuous instruction and correction
  • Bilingual anomaly alerts — robot status communicated in operator's native tongue instantly
  • Voice and text dual-mode input — adapts to different working environment conditions
// 03 · REMOTEOPS

Cloud Remote Operations & Diagnostics

When a robot breaks down in a Vietnamese factory, a Saudi warehouse, or an Indonesian production line, flying a Chinese engineer on-site is neither fast nor economical. RemoteOps gives every deployed robot an AI engineer on permanent standby — one that knows the full operational history of that specific machine, can interpret all sensor streams, communicates in the local language, and can complete in minutes a diagnosis that would traditionally take days.

The predictive maintenance module analyzes vibration, temperature, and current trends to issue 30-day advance warnings on critical component failures — transforming reactive emergency repair into planned preventive maintenance, eliminating unplanned downtime at its root.

  • 7×24h continuous monitoring across all global time zones — no coverage gaps
  • Multimodal fault diagnosis — fusing sensor data and industrial camera imagery for root cause analysis
  • 30-day advance warning on critical component end-of-life — maintenance scheduled before failure occurs
  • Multilingual step-by-step repair guides — non-specialist operators resolve 80%+ of faults independently
  • Spare parts lifecycle management — automated procurement triggers before stock-out occurs
// REMOTEOPS · PREDICTIVE MAINTENANCE
Intelligent Operations System
Real-time data collection → health baseline modeling
Anomaly signal detection → AI root cause analysis
Fault early warning → maintenance work order
Multilingual repair guidance → operator self-resolution
Resolution logging → knowledge base expansion
60%
Cost reduction
30 days
Early warning
// SCENEADAPT · FEDERATED LEARNING
Continuously Evolving AI
Each robot trains locally — raw data stays on-device
Encrypted gradients uploaded to cloud aggregator
Global model updated via secure federated averaging
Optimal strategies distributed to entire fleet
Larger fleet → more data → smarter AI → flywheel
Always
Self-evolving
Private
Data stays local
// 04 · SCENEADAPT

Scene Adaptive Learning System

SceneAdapt transforms robots from static tools into continuously evolving intelligent agents. Every task execution, operator interaction, and fault resolution across the global robot fleet generates training material that — via federated learning — improves the AI capabilities of every robot in the network, without any raw customer data ever leaving the customer's premises.

The result: the 100th robot deployed in Vietnam arrives pre-loaded with all the operational experience accumulated by the previous 99 deployments across Asia and the Middle East. As Sky Robotics' global fleet grows, the compounding advantage of this data flywheel becomes increasingly difficult for competitors to replicate.

  • Federated learning architecture — raw data never crosses device boundaries
  • Rapid new-scene adaptation — historical experience generates initial strategies in hours, not weeks
  • Operator preference learning — personalizes the interaction experience over time
  • Automatic knowledge base enrichment — every resolved issue expands the collective intelligence
  • Network effect moat — competitive advantage compounds with every additional deployment

Ready to Give Your Robots a Cloud Brain?

Contact the Sky Robotics team to explore how RoboBrain Cloud can transform your robot product's global potential.

Products & Services

RoboBrain Cloud's four AI modules form a complete intelligence stack — covering perception, language, maintenance, and learning across the full robot lifecycle.

// MODULE 01 · BRAINCORE
Multimodal Perception & Reasoning Engine
BrainCore is the core reasoning engine of RoboBrain Cloud, processing the full spectrum of multimodal sensor data from deployed robots and performing deep scene understanding and dynamic task decision-making in the cloud. By replacing finite state machine logic with a generative AI model's universal reasoning capability, BrainCore gives robots the ability to handle genuinely novel situations that no engineer ever pre-programmed for.
01
Multimodal Data Ingestion
Synchronously ingests RGB+depth camera streams, LiDAR point clouds, IMU inertial data, force/torque sensors, and microphone audio. All channels are unified-encoded and uploaded to BrainCore cloud inference nodes, with local edge buffering supporting temporary connectivity loss and automatic retransmission.
02
Scene Understanding & Semantic Mapping
A vision-language model performs real-time semantic parsing of image frames — classifying objects, inferring states, tracking human movement and intent. Combined with LiDAR data, the system constructs a 3D semantic map that provides precise scene context for downstream path planning and task execution.
03
Cross-Modal Fusion Reasoning
Visual semantics, geometric spatial data, haptic feedback, and historical task memory are fused into a unified multimodal context and fed into the task reasoning model. This enables compound perceptual judgments that no single sensor modality could complete independently — for example, simultaneously reading object state and human intent in a noisy factory environment.
04
Long-Horizon Task Planning & Decomposition
Abstract high-level task goals (e.g. "sort components from Station A into the correct bins at Station B according to the BOM") are decomposed via Chain-of-Thought reasoning into ordered atomic action sequences, supporting conditional branching, exception handling, and parallel sub-task execution across complex industrial workflows.
05
Action Command Dispatch & Execution Feedback
Generated action commands are translated by the Edge Agent into robot-specific low-level control protocols and executed on the physical body. Execution feedback is continuously monitored; deviations beyond threshold trigger real-time replanning — forming a closed perception→reasoning→action→feedback loop that ensures precision and safety.
Industrial ArmsMobile RobotsHumanoid RobotsInspection DronesCobotsAGV / AMR
// Technical Specifications
BrainCore Engine
<200ms
End-to-end latency
99.2%
Object recognition
30fps
Visual processing
Multi-protocol
Robot compatibility
// Integration
ROS / ROS2 native support
Modbus · OPC-UA · MQTT compatible
REST API & WebSocket interface
4G / 5G / WiFi network support
LinguaBot · Multilingual Natural Language Interface
LinguaBot permanently eliminates the language barrier at the heart of robot globalization. Supporting 15+ languages with real-time natural language command understanding, multi-turn dialogue management, and anomaly state broadcasting, LinguaBot lets any operator in any market use the robot effectively in their native language from day one — without a single hour of specialized training.
01
Voice & Text Dual-Mode Input
Operators issue commands via voice or text through the companion mobile app. Speech is transcribed in real time via on-device ASR, then unified with text input into the intent understanding pipeline. The dual-mode design adapts to different environments — voice for loud factory floors, text for quiet warehouses or control rooms.
02
Multilingual Intent Understanding & Disambiguation
A multilingual large language model performs deep intent parsing — extracting task type, target object, operational parameters, and constraints from natural language input. For ambiguous or low-confidence expressions, the system asks a clarifying question in the same language before proceeding, eliminating misoperation risk.
03
Contextual Multi-Turn Dialogue Management
Cross-turn dialogue history is maintained to support pronoun coreference resolution ("move it over there"), task correction ("actually, put it on the left"), and instruction chaining ("grab three more"). Continuous conversational context makes interactions feel natural and fluid, not transactional.
04
Instruction-to-Action Translation
Parsed structured intent is handed to BrainCore's task planning module to generate an executable action sequence. Simultaneously, a running status commentary is broadcast to the operator in their language: "Executing: moving 3 units from Workstation A to the staging area at Gate 2." Human-robot collaboration remains fully transparent.
05
Multilingual Anomaly Alerting
When the robot encounters an obstacle, fault, or safety hazard, an immediate voice + text dual-channel alert is pushed in the operator's native language — precisely describing the anomaly type, current position, and recommended response — ensuring rapid, correct reaction before situations escalate.
// Supported Languages
15+ Languages
English / Arabic / Indonesian
Thai / Vietnamese / Malay
Spanish / Portuguese / French
German / Polish / Turkish
Japanese / Korean / Mandarin
96%
Intent accuracy
<1s
Response time
RemoteOps · Cloud Remote Operations & Diagnostics
RemoteOps transforms the traditional expert-engineer-on-site maintenance model — slow, expensive, geographically constrained — into a 7×24 AI-powered cloud operations system. It covers the complete maintenance value chain: real-time health monitoring, digital twin modeling, multimodal fault diagnosis, multilingual guided repair, and predictive component lifecycle management — reducing overseas robot maintenance costs by up to 60%.
01
Real-Time Health Status Monitoring
Edge Agents continuously sample joint current, temperature, vibration, cycle count, and other full-spectrum sensor data at second-level frequency, uploading to the RemoteOps health monitoring platform. Each robot's real-time health score is displayed on a unified fleet management dashboard, filterable by region, model, and customer account.
02
Digital Twin Personalized Health Baseline
The cloud builds an individual digital twin for each robot, trained on that machine's complete operational history. Compared to generic threshold-based rules, personalized baselines detect subtle early anomaly signals days or weeks before they develop into failures — catching what generic monitoring would miss entirely.
03
AI Multimodal Fault Diagnosis
When an anomaly is detected, RemoteOps AI fuses current sensor time-series data, industrial camera imagery (optional), historical fault case records, and equipment technical manual knowledge to perform root cause analysis — generating a structured diagnostic report with confidence scoring and recommended corrective actions.
04
Multilingual Guided Repair
Diagnosis results drive the generation of step-by-step illustrated repair guides presented in the operator's native language, annotated with component location diagrams and video examples. Non-specialist maintenance workers can independently resolve over 80% of common fault categories — collapsing average fault-to-resolution time from days to hours.
05
Predictive Maintenance & Spare Parts Management
Wear progression models for critical components (motors, gearboxes, bearings, seals) forecast remaining useful life and generate maintenance work orders automatically 30 days before predicted end-of-life. Procurement recommendations are triggered proactively to local supplier systems — ensuring parts availability before shutdown risk materializes.
// Operations KPIs
60%
Maintenance cost reduction
30 days
Fault prediction window
7×24h
Monitoring coverage
80%+
Self-resolution rate
// Integration Protocols
ROS / ROS2 robot operating system
Modbus · OPC-UA · MQTT
REST API · WebSocket
4G / 5G / WiFi multi-network
SceneAdapt · Scene Adaptive Learning System
SceneAdapt is RoboBrain Cloud's most strategically significant module — the engine that turns Sky Robotics' growing global fleet into a compounding competitive advantage. Based on federated learning and continual learning architectures, SceneAdapt converts real-world operational experience across thousands of deployments into continuously improving AI capability, while keeping every byte of customer data strictly within their own infrastructure.
01
Local Data Collection & Annotation
Each deployed robot continuously collects task execution trajectories, outcome labels, operator feedback signals, and fault resolution records. The Edge Agent performs local preprocessing and structured annotation — raw sensory data never leaves the customer's premises, addressing data sovereignty requirements across all target markets.
02
Local Model Training & Encryption
Each robot node fine-tunes a lightweight local model on its local dataset, then uploads only the encrypted model parameter gradients — not data — to the federated learning server. Differential privacy noise is applied to gradients before transmission, making reverse-engineering of original data mathematically infeasible.
03
Global Model Secure Aggregation
The cloud federated learning server performs secure aggregation of encrypted gradients from all global nodes, updating the global AI model parameters by combining the best-performing strategies from each deployment context into a unified global optimum, which is then distributed back to all registered robot nodes.
04
Rapid New-Scene Transfer Adaptation
When a new robot enters a previously unseen application context — such as transitioning from automotive manufacturing to pharmaceutical packaging — SceneAdapt retrieves the most similar historical scene strategies from its experience library and generates an initial adaptation policy, compressing new-scene commissioning from weeks to hours.
05
Compounding Intelligence Accumulation
As Sky Robotics' global fleet grows, the federated learning node count increases, training data diversity expands, and global model quality improves continuously — forming a "more deployments → richer data → smarter AI → better product → more deployments" positive flywheel that compounds the competitive moat over time.
// FEDERATED LEARNING FLOW
Privacy-Safe Fleet Intelligence
① Local robots collect operational data
② Local training → encrypted gradients generated
③ Encrypted gradients uploaded (raw data stays local)
④ Cloud secure aggregation → global model updated
⑤ Optimal strategies distributed to entire fleet
Data stays local · Knowledge shared globally · Privacy fully protected

Solutions

End-to-end AI solutions built around the real challenges of cross-border robot deployment — validated across manufacturing, logistics, commercial services, and global expansion contexts.

// SOLUTION 01 · MANUFACTURING
Industrial Manufacturing
For manufacturing facilities across Southeast Asia, the Middle East, and South Asia deploying Chinese-made industrial robots, RoboBrain Cloud delivers an AI intelligence layer that dramatically reduces operator training time, eliminates language barriers, enables flexible mixed-model production, and delivers continuous remote maintenance support — making the economics of robot deployment genuinely attractive.
Challenge
The Core Problems Overseas Factories Face
Operator skill levels are variable, and robot training cycles are long — typically 3–6 months for Chinese-interface industrial systems. Local specialist maintenance engineers are unavailable; downtime following a fault routinely stretches to 72+ hours waiting for remote support or engineer travel. Frequent production changeovers require expert reprogramming intervention. Machine interface language and worker native language are completely mismatched.
Solution
RoboBrain Cloud Industrial Edition
LinguaBot deployment reduces operator training from 3 months to 3 days — workers command robots in Indonesian, Vietnamese, Thai, or Arabic from day one. RemoteOps compresses fault-to-recovery time from 72 hours to under 4 hours through remote AI diagnosis and guided local repair. BrainCore's vision-guided grasping enables changeover without reprogramming, unlocking genuinely flexible production capabilities.
Value
Quantifiable Business Impact
Overall Equipment Effectiveness (OEE) improvement of 25–35%. Robot maintenance costs reduced by 60%. Changeover downtime reduced by 80%. Operator training costs reduced by 70%+. Overseas factories achieve intelligent production capacity upgrades while maintaining cost competitiveness — a combination no traditional robot integration approach can deliver.
🔩
Automotive Components
Welding, adhesive dispensing, assembly, and quality inspection with AI vision guidance. Multi-variant mixed-line flexible production with zero-programming model changeover.
💻
Electronics Manufacturing
Precision SMT placement, soldering, and AOI inspection. BrainCore micron-level visual positioning significantly improves first-pass yield rates.
🔨
Metal Processing
Forging, stamping, and CNC machine tending automation. Multimodal sensing in harsh environments ensures safe production continuity.
🧪
Chemical & Pharmaceutical
Hazardous material handling and cleanroom operations with safety reinforcement. Compliance operation guidance and real-time anomaly alerting for regulated environments.
Warehousing & Logistics
For e-commerce fulfillment centers in the Middle East, logistics hubs across Southeast Asia, and manufacturing-adjacent warehouses globally, RoboBrain Cloud delivers the AI intelligence layer that makes robot-assisted warehousing operations genuinely flexible, multilingual, and highly reliable — including through peak seasons when equipment uptime is mission-critical.
01
AI-Guided Picking & Sorting
BrainCore's visual system identifies SKU type, location, and inventory status in real time across diverse product categories. Order management system integration generates optimal pick paths continuously. LinguaBot supports warehouse managers issuing priority overrides and task adjustments in Arabic, English, or Indonesian — system replans immediately.
02
Dynamic Multi-Robot Path Planning
Real-time path planning and conflict resolution for multi-robot collaborative operations. BrainCore continuously perceives the positions of all humans, forklifts, and cargo within the facility, dynamically rerouting robot paths to maintain throughput without compromising the safety requirements of mixed human-robot environments.
03
AI-Assisted Inventory Counting
Robots equipped with high-resolution cameras and RFID readers autonomously patrol rack aisles; BrainCore auto-identifies products, quantities, and locations, generating cycle count reports and flagging anomalies (misplaced items, damaged goods). Manual inventory time compressed by 90%+ with higher accuracy than manual methods.
04
Peak Season Reliability Assurance
For e-commerce peak seasons (11.11, Black Friday, Ramadan sales), RemoteOps fleet monitoring proactively completes preventive maintenance in the weeks prior — ensuring 100% robot uptime during critical high-volume periods and eliminating the order backlog and customer service failures that equipment downtime causes at exactly the wrong moment.
// Logistics Solution KPIs
Warehouse Intelligence
Picking efficiency improvement: 300%+
Inventory count time reduction: 90%
Peak season equipment uptime: 99.5%
Multilingual dispatch commands: real-time
Compliant with GCC / ASEAN warehouse regulations
Commercial Services
For hotels, hospitals, retail stores, banks, and exhibition venues deploying service robots in international markets, RoboBrain Cloud's LinguaBot multilingual conversational AI capability is the transformative differentiator — enabling service robots to move beyond scripted responses into genuine, contextually intelligent interactions with guests and customers in their native languages.
🏨
Hospitality & F&B
Room service, restaurant delivery, and front-desk concierge robots with multilingual conversational AI — supporting Arabic, English, Indonesian, and other major hospitality market languages. AI real-time emotional state sensing enables adaptive service responses, delivering experiences that rival human staff quality.
🏥
Healthcare
Hospital medication delivery and wayfinding robots with native-language patient interaction — patients ask about departments, wait times, and instructions in their own language. RemoteOps ensures the high-reliability operation standards required in medical settings. Compliant with relevant healthcare facility hygiene and safety requirements.
🏦
Financial & Retail
Smart concierge and customer service robots for bank branches and retail stores. BrainCore detects customer behavioral intent in real time; LinguaBot delivers personalized service recommendations in the customer's language. SceneAdapt continuously learns high-satisfaction interaction patterns to improve service quality over time.
Global Expansion — Complete Go-Global Solution
For robot manufacturers and exporters pursuing systematic international market entry, Sky Robotics offers a comprehensive go-global solution covering AI product enablement, local market adaptation, overseas operations infrastructure, and data compliance — building the complete foundation for a durable, high-quality international presence.
Phase 1
AI Capability Assessment & Roadmap
Sky Robotics' technical team conducts an in-depth AI capability assessment of the client's existing robot products, identifying integration priorities and technical pathways for BrainCore, LinguaBot, RemoteOps, and SceneAdapt. A phased AI enablement implementation plan is produced with clear milestones, investment requirements, and expected ROI for each phase.
Phase 2
Target Market Language & Scene Adaptation
For the client's specific target export markets — Southeast Asia, Middle East, South Asia, Europe — LinguaBot language packs, cultural adaptation rules, and industry-specific vocabulary libraries are configured. BrainCore perception and decision strategies are tuned to reflect the specific physical conditions and usage patterns of each target country's deployment environments, ensuring real-world usability rather than lab performance.
Phase 3
Data Security & Regulatory Compliance
Sky Robotics assists clients through data security compliance assessment for all target markets — including GDPR (EU), PDPL (Saudi Arabia), PDPA (Thailand), UU PDP (Indonesia), and other applicable frameworks. RemoteOps' federated learning architecture ensures customer data does not cross national borders, helping clients obtain required market access approvals without architectural compromise.
Phase 4
Overseas Service Infrastructure Build-Out
RemoteOps is deployed to establish the client's overseas remote service operations system — including a localized-language maintenance support portal, operator training platform, and spare parts management system. Clients provide overseas customers with maintenance support quality comparable to local service providers, without establishing a local engineering team or absorbing the associated fixed cost base.
Phase 5
Continuous Optimization & Market Expansion
RoboBrain Cloud continuously collects operational data from overseas deployed robots. SceneAdapt's federated learning framework translates this data into ongoing AI capability improvements. Sky Robotics delivers regular operational insight reports covering usage patterns, regional performance variations, and market-specific product development opportunities — creating a data-informed foundation for product iteration and next-market entry decisions.
// About Sky Robotics

Giving Every Robot
a Mind That Never Stops Learning

Sky Robotics (上海忠天科技有限公司) is a Shanghai-based AI technology company focused on developing intelligent robots and the RoboBrain Cloud AI platform — placing generative AI at the center of every robot's operational intelligence, from the moment it enters service to the end of its operational life.

Our RoboBrain Cloud platform serves globally deployed industrial and service robots across 50+ markets, providing the complete AI capability stack that allows Chinese-manufactured robots to operate with world-class intelligence in any market, in any language, with continuous remote operational support that eliminates the distance disadvantage of international deployment.

// Company Profile
Legal Name上海忠天科技有限公司
English NameSky Robotics Co., Ltd.
HeadquartersShanghai, China
Core ProductRoboBrain Cloud Platform
Business ScopeIntelligent Robots · AI Technology Services
Markets ServedSE Asia · Middle East · South Asia · Europe
Mission & Vision

Why We Exist

Chinese-manufactured robots have achieved world-class competitiveness in reliability, precision, and value. What has historically constrained their success in premium global markets is not product quality — it is the absence of intelligent AI capability, multilingual interaction, and accessible overseas operational support. Sky Robotics exists to close that gap, permanently and at scale.

🎯
Mission
To give every intelligent robot — regardless of where it is manufactured or where it is deployed — the AI capability to understand its environment, communicate with its operators, diagnose its own health, and continuously improve its performance. We make machine intelligence globally accessible.
🌍
Vision
A world in which language, cultural distance, and geographic separation are no longer barriers to robot performance — where any operator in any country can command, collaborate with, and maintain an intelligent robot with the same ease as a native-language product from a local manufacturer.
💡
Technology Philosophy
We build AI-native systems, not AI-augmented legacy software. Every product module is designed from first principles around large language models and multimodal AI — which is why our solutions consistently outperform retrofitted alternatives by an order of magnitude in both capability and cost-effectiveness.
Our Story

The Sky Robotics Journey

2020
Company Founded — Intelligent Robot R&D Begins
Sky Robotics (上海忠天科技有限公司) established in Shanghai, focusing on the independent R&D of industrial and service robots. Completed first-batch industrial arm product development and small-volume sales. Core technical team assembled.
2021
First Robot Export to Southeast Asia
Completed first industrial robot export delivery to manufacturing customers in Vietnam. Real-world operations revealed urgent overseas customer needs around operator training, language adaptation, and remote maintenance support — sparking the RoboBrain Cloud concept and initiating preliminary research.
2022
RoboBrain Cloud Platform Formally Commissioned
RoboBrain Cloud platform development formally launched. Specialist teams assembled for AI algorithms, cloud architecture, and multilingual NLP. Technical partnerships established with major large language model providers. Platform foundation architecture design completed.
2023
BrainCore & LinguaBot Complete Internal Testing
BrainCore multimodal reasoning engine and LinguaBot multilingual interaction layer completed internal testing. First field deployment validation conducted at a Hanoi factory — English, Vietnamese, and Indonesian trilingual interaction testing passed. Inference latency met industrial requirements.
2024
Commercial Launch — Middle East Market Entry
RoboBrain Cloud platform completed commercial launch. RemoteOps cloud maintenance module went live. First commercial contracts signed with manufacturing partners in Saudi Arabia and UAE; Arabic interaction capability validated locally. Series A funding completed.
2025
SceneAdapt Federated Learning System Online
SceneAdapt scene adaptive learning system officially launched. Global robot nodes surpassed 500 units. Federated learning flywheel effect began materializing — AI model quality showed measurable continuous improvement. Expanded into India, Thailand, and Indonesia as new markets.
2026
Global Scale Expansion
RoboBrain Cloud coverage expanded to 50+ countries. Supported languages reached 15+. European and Latin American market entry underway. OEM white-label licensing program launched, with deep platform partnerships initiated with leading domestic robot manufacturers.
Core Values

What We Stand For

🔬
Technology First
We believe genuine technical leadership is the most durable competitive advantage. Sky Robotics commits to engineering excellence and algorithmic innovation as our core competitive axis — rejecting feature accumulation as a substitute for real capability breakthroughs.
🤝
Customer Success
Our commercial success is built on the real-world value we create for customers. Every product decision starts from "what problem is the customer actually facing in overseas operations?" — not from "what can we build?" Our incentives are aligned with customer outcomes.
🌐
Global-First Mindset
From day one, we designed for global markets — not for domestic use with international adaptations bolted on. Language diversity, cultural differences, and regulatory complexity are the core challenges we solve, not the edges of our product scope.
🛡️
Security & Trust
We handle customers' most sensitive industrial operational data. Data security, system reliability, and compliance are not marketing claims — they are fundamental commitments to every customer. This is the essence of "忠" in our name: loyalty through trustworthiness.
♻️
Continuous Evolution
AI technology advances at exponential speed. We commit that every robot our customers deploy will continuously benefit from the latest AI capability improvements — without hardware replacement or additional procurement. Software defines the future of robotics.
🤲
Partnership Mindset
We build genuine strategic partnerships with robot manufacturers, system integrators, and local distributors — not transactional vendor relationships. Our success depends on the collective success of the entire ecosystem we participate in and help to grow.
Contact

Start a Conversation

Whether you are a robot manufacturer, system integrator, or enterprise planning international expansion, we welcome the opportunity to explore how RoboBrain Cloud can accelerate your global ambitions.

📞 Business Development
business@skyrobotics.ai
+86 21-XXXX-XXXX
Weekdays 9:00 — 18:00 (UTC+8)
🔧 Technical Support
support@skyrobotics.ai
7×24h cloud technical support
Enterprise SLA response guaranteed
📍 Headquarters
Shanghai, China
上海市 · 中国
🌏 Global Markets
global@skyrobotics.ai
SE Asia · Middle East · Europe · South Asia
Multilingual support team