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Pipefy

United States
San Francisco
2015
Private
$10-100m
1,001 - 10,000
Open website

Pipefy is the AI-enhanced process automation platform that empowers business teams to build and deploy up to 85% of their own workflows. With Pipefy’s secure and easy-to-use features, businesses gain greater autonomy so IT teams can get more time to focus on strategy, security, and digital innovation.

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Pipefy is a provider of Industrial IoT application infrastructure and middleware, platform as a service (paas), networks and connectivity, robots, automation and control, sensors, and analytics and modeling technologies, and also active in the agriculture, buildings, cities and municipalities, consumer goods, e-commerce, equipment and machinery, finance and insurance, healthcare and hospitals, and transportation industries.
Technologies
Application Infrastructure & Middleware
Data Exchange & Integration
Data Visualization
Middleware, SDKs & Libraries
Sensors
Flow Meters
Liquid Detection Sensors
Networks & Connectivity
5G
NFC
Automation & Control
Automation & Process Control Systems
Robots
Parallel Robots
Platform as a Service (PaaS)
Application Development Platforms
Analytics & Modeling
Robotic Process Automation (RPA)
Use Cases
Agriculture Disease & Pest Management
Experimentation Automation
Farm Monitoring & Precision Farming
Fleet Management
Inventory Management
Leasing Finance Automation
Material Handling Automation
Process Control & Optimization
Smart Contracts
Supply Chain Visibility
Time Sensitive Networking
Functions
Human Resources
Logistics & Transportation
Maintenance
Procurement
Product Research & Development
Quality Assurance
Sales & Marketing
Industries
Agriculture
Buildings
Cities & Municipalities
Consumer Goods
E-Commerce
Equipment & Machinery
Finance & Insurance
Healthcare & Hospitals
Transportation
Services
System Integration
Testing & Certification
Training
Pipefy’s Technology Stack maps Pipefy’s participation in the application infrastructure and middleware, platform as a service (paas), networks and connectivity, robots, automation and control, sensors, and analytics and modeling IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies14
Alvaz's Journey to Efficient HR Request Management with Pipefy
Alvaz, a Brazilian agritech company, faced significant challenges due to its rapid growth. With each new crop cycle, the demand for their services increased, leading to a surge in the number of employees and the need for better process organization. In 2019, the company grew from 5 to 20 employees, making traditional methods of communication and process management insufficient. As Alvaz expanded into more countries and Brazilian states, the need for a reliable system to manage employee requests to the central office became evident. These requests were primarily equipment-related, including uniforms, safety equipment, and drone maintenance parts. By 2020, with around 30 employees, Alvaz was frequently missing deadlines and lacked visibility over the status of their many requests. The company needed a solution to manage their requests and improve the employee experience.
Maximizing IT Investments and Streamlining Accounts Payable Lifecycle: A Case Study on Ocean Network Express
Ocean Network Express (ONE), the world’s seventh-largest container carrier, was formed following the merger of Japan’s three largest shipping lines in 2017. The merger led to a complex and disjointed process architecture, with a lack of communication between departments and systems posing a significant challenge. The accounts payable process, critical for timely vendor payments, was particularly inefficient, involving three different sub-departments within the finance team. The process was primarily decentralized, managed manually, and often involved a lengthy paper trail. The finance team used spreadsheets to keep the process on track, but it was difficult to manage and standardize. The COVID-19 pandemic further exacerbated these issues, as the shift to remote work made the process unmanageable and hindered seamless communication between the finance sub-departments and systems. The team needed a platform, system, or tool to fit all of their processes in this new reality.
Improving Customer Satisfaction Rates with IoT: A Case Study on GE Healthcare
GE Healthcare, a global leader in medical technology and digital solutions, faced several challenges in managing support requests from its channel partners. The company provides medical equipment and services to clinicians worldwide, and when a piece of equipment is down, the channel partner may reach out to GE Healthcare for help. Capturing and managing these support requests was a complex task, often leading to hours spent searching for information. Additionally, GE Healthcare needed to ensure that channel partners were delivering the same level of support to their customers as those supported directly by GE. However, with their existing customer support process, GE managers had little visibility into support requests. They were unaware of the number or status of requests and who was responsible for each. This lack of process control and visibility into channel partners led to the realization that a change was necessary.
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