Empowering Robotics Innovators with AI, Cloud & Data Expertise
As robotics moves from labs to production, robotics companies face a new set of challenges: scaling cloud infrastructure, integrating AI/ML capabilities, connecting robotic systems to enterprise platforms, and building architectures that grow with the business.
Logan Data brings hands-on robotics experience in control systems and motion planning, combined with deep expertise in AI, cloud architecture, data engineering, and enterprise integration—helping robotics startups and technology companies scale smarter.

Built for Growth
1. Robotics & Control Systems
Our team’s robotics background enables us to collaborate effectively with your engineering team—not just at the infrastructure level, but at the system level.
- Model Predictive Control (MPC) and trajectory optimization
- Control system design and tuning
- ROS/ROS2 architecture and integration
- Simulation environments (Gazebo, NVIDIA Isaac)
2. Architecture & Systems Design
Startups often outgrow their initial architectures as they scale. We help robotics companies design systems that are built for growth—from early-stage architecture reviews to full-scale platform redesigns.
- System architecture reviews and scalability assessments
- Modular, decoupled architecture design
- DevOps and CI/CD pipeline implementation
- Technical roadmap development for product scaling
3. Cloud Infrastructure for Robotic Systems
Beyond the robot itself, scaling to a production fleet requires robust cloud architecture. Robotics companies often have strong on-robot software (ROS2, DDS) but need expertise to build the cloud-side infrastructure that enables fleet-scale operations.
- Edge-to-cloud architectures connecting on-robot systems (ROS2/DDS) to cloud platforms via MQTT and IoT services
- Fleet telemetry pipelines for real-time monitoring, alerting, and historical analytics
- Fleet management platforms on AWS, Azure, and GCP
- Secure device provisioning and robot-to-cloud communication infrastructure
3. Data Engineering & Analytics
Robots generate enormous volumes of operational data. Turning this data into actionable insights requires robust pipelines, scalable storage, and clear visibility into fleet performance.
- Data pipelines & ETL to consolidate and transform operational data from disparate sources
- Data lake architecture for scalable, cloud-native storage across AWS, Azure, and GCP
- Business intelligence dashboards for real-time operational visibility
- Seamless integration with your existing enterprise systems
5. AI & GenAI Integration
The convergence of robotics and AI is creating new possibilities—from LLM-powered human-robot interaction to intelligent document processing. We help robotics companies integrate AI capabilities into their products and workflows.
- LLM-powered application development with production-grade prompt engineering
- RAG architectures for intelligent document processing and knowledge retrieval
- Seamless integration of AI capabilities with existing enterprise systems
6. Enterprise System Integration
Robots don’t operate in isolation. For maximum impact, they need to connect with ERPs, CRMs, and business intelligence platforms. We specialize in bridging robotic systems to the business layer.
- ERP and business system connectivity across Finance, Pharma, and Education sectors
- API development for third-party system integration
- iPaaS solutions using Informatica, SnapLogic, Workato, Boomi, and MuleSoft
- Custom connector development for robotics-specific protocols
Technologies & Platforms
We bring expertise across the modern technology stack:
| Category | Technologies |
|---|---|
|
Cloud Platforms |
AWS, Azure, GCP |
|
Data & Analytics |
Snowflake, Databricks, Apache Kafka, Spark, dbt |
|
AI/ML & GenAI |
Azure OpenAI, AWS Bedrock, LangChain, RAG, Vector DBs |
|
Integration (iPaaS) |
Informatica, SnapLogic, Boomi, Workato, MuleSoft |
|
DevOps & Infrastructure |
Terraform, Docker, GitLab CI/CD, GitHub Actions |
| Robotics Ecosystem | ROS/ROS2 integration, NVIDIA Isaac, Gazebo simulation |
