What is Rayven

Rayven.io is a low-code platform that enables businesses to rapidly build and deploy AI-powered business applications without extensive coding. It specializes in:

Overview

Rayven is a secure, no-code/low-code platform for building real-time, data-powered applications across business and industrial domains.

It enables teams to connect systems and data sources, automate workflows, apply logic and AI, and build custom interfaces — all in one integrated environment.

Rayven is ideal for both:

• Business Applications – such as internal tools, dashboards, portals, and automated workflows

• IoT & Operational Applications – including real-time monitoring, device integrations, and machine data processing

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What Can You Build in Rayven?

Business Application Examples

• Sales & Support Dashboards
  Aggregate CRM, ticketing, and product data for managers.

• Employee Management Portals
  Onboard users, manage access, track certifications and tasks.

• Finance Workflows
  Automate invoice approvals, expense checks, or budget tracking.

• Compliance & Governance Apps
  Log policy exceptions, summarize audits, and generate reports.

• Customer-Facing Interfaces
  Build self-service portals or service status views.

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IoT Application Examples

• Real-Time Equipment Monitoring
  Visualize metrics, detect anomalies, and trigger alerts.

• Sensor Data Pipelines
  Ingest, transform, and store high-frequency data from devices.

• Predictive Maintenance Tools
  Apply ML models to prevent breakdowns using telemetry data.

• Digital Twins & Condition Dashboards
  Represent real-world assets and monitor them in real time.

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Key Capabilities

1. Workflow Automation

Design end-to-end workflows using a drag-and-drop builder. Automate:

• Data transformation

• Conditional logic

• API integration

• Notifications and actions

Example:
“When a form is submitted → validate → sync to CRM → send Slack alert”

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2. Data Integration

Rayven supports connections to:

• APIs (REST, GraphQL)

• SQL / NoSQL databases

• CSV, Excel, JSON file uploads

• Cloud services like Salesforce, HubSpot, Snowflake, Google Sheets

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3. Front-End App Builder

Use Rayven to build full business applications with:

• Dashboards

• Custom forms

• Navigation flows

• UI logic using HTML, JS, and CSS

Example:
Create a multi-step employee onboarding app that tracks form inputs, assigns user groups, and stores records.

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4. AI & Generative AI

Rayven integrates native AI tools to:

• Predict outcomes (e.g., lead scoring, churn)

• Summarize reports or logs

• Power internal chatbots

• Generate customer messages, insights, or alerts

Example:
"Summarize all escalated support cases for today and send to manager."

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5. Secure, Scalable Deployment

• Role-based access and permissioning

• Encrypted data at rest and in transit

• Audit logs, monitoring, and incident workflows

• Option for private cloud hosting with Microsoft Azure integration

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Why Choose Rayven for Business Applications?

 

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 All-in-One Platform

Rayven offers a complete toolkit to solve critical business challenges without replacing existing systems or requiring risky, long dev cycles.

Key Capabilities

Rayven is a no/low-code toolkit designed to solve multiple business challenges in one platform. Easy to use, universally compatible, and scalable, it enables the development of custom business applications that evolve with your needs and extend existing technology stacks.

Integration + Data Ingestion

• Pre-Built Connectors: Instantly integrate with CRMs, ERPs, cloud services, databases, and more.

• Custom Integrations: Use APIs, SDKs, or custom logic to connect any proprietary system.

• File Uploads: Ingest structured data via CSV, Excel, JSON, XML formats.

• Manual Form Inputs: Capture structured data from team members using custom forms.

• Time Series Handling: Ingest and process timestamped event or usage logs.

Data Orchestration, Logic + AI

• Real-Time Processing: Process and react to incoming data instantly.

• Structured Data Tables: Manage customer records, order tracking, or transactional logs.

• Workflows + Triggers: Automate approvals, notifications, or downstream syncs.

• Data Management: Clean, validate, and transform incoming data into usable formats.

• Document Parsing: Extract structured data from PDFs, forms, or contracts.

• Calculation + Aggregation: Perform operations like revenue summaries or SLA compliance checks.

• Automation + Control: Auto-update databases, notify stakeholders, or trigger system actions.

• Machine Learning: Deploy churn models, lead scoring, or forecasting logic.

• Generative AI: Create summaries, generate responses, or assist in user support.

Frontend Interfaces + Functions

• Dashboards + Visualizations: Build interfaces for monitoring performance metrics, KPIs, or workflows.

• Widgets + UI Customisation: Drag-and-drop elements for charts, tables, text, and inputs.

• Notifications + Alerts: Trigger UI or outbound alerts based on workflow outcomes.

• HTML + JavaScript Extensions: Embed dynamic logic or third-party tools.

• Predictive Analytics: Visualize outcomes of AI-based predictions.

• Conversational Analytics: Enable chatbot-like UI experiences for querying data.

• Dynamic Reports: Create, customize, and distribute automated reports to teams or clients.

 Integrations + Data Ingestion

• Pre-built connectors + APIs

• Custom integrations

• File uploads + manual data inputs

• IoT device + protocol management

• Time-series data handling

 Data Orchestration, Logic + AI

• 50+ visualization widgets in drag-and-drop dashboards
• Custom form builder for manual inputs
• Predictive/conversational analytics
• HTML + JavaScript extension support
• Multi-screen flows + navigation hierarchies

Frontend UIs + Functions

• Fully configurable dashboards with 50+ visualization widgets

• Custom form builder for human-entered data

• Dynamic reports, conversational analytics, predictive analytics

• HTML + JavaScript extension capabilities

• Screen flows and navigation hierarchies
  
  

Platform Foundations

• App hosting + white labelling

• Role-based user management

• Rayven-native databases

• QR code generation + device management

• Usage metrics + admin tools

 

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Generative AI – Automate Interactions, and Insights

Capabilities:

• Natural Language Responses: Create smart, context-aware conversational UIs

• Automated Documentation: Generate reports, summaries, and recommendations from live data

• Dynamic Content Generation: Build messages, notifications, and field content with AI

• Enhanced UX: Deploy chatbots, adaptive forms, and assistants

How to Use:

• Drag-and-drop GPT Nodes into workflows

• Customize prompts, templates, and logic

• Ensure secure + compliant deployment

Generative AI reduces manual work, enhances automation, and delivers human-like responsiveness.

AI Dynamix – Machine Learning for Everyone

Build, train, and deploy ML models using a visual interface:

• Anomaly detection

• Failure prediction

• Output forecasting

• Predictive maintenance

All without writing code.

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Fully Customizable Dashboards

• Drag-and-drop builder with 50+ widgets

• Resize, reorder effortlessly

• Internal or customer-facing views

• Full branding with white-labelling

 

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Get Started: 5-Minute Introduction to Rayven

In this quick-start video, you’ll:

• Get a Rayven platform overview

• Navigate the Rayven Manager

• Configure settings and access

• Use widgets, labels, and AI Dynamix

• Learn to build your first solution

👉 [Watch the 5-Minute Introduction Video] (link to video)

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How-to Guides

Ingest Sensor Data

1. Create 'Devices' table (Primary)
2. Drag in MQTT Node
3. Map fields → Secondary Table
4. Filter/validate with Expression Node

Send Alert When Temp > 90°C

1. Use Condition Node: `temp > 90`
2. Add Email Node
3. Use tokens (e.g., ) in message

Create a Daily Summary with Generative AI

Prompt: Summarize today's energy readings for Pump 7.
Expected Output: "Pump 7 consumed 12.4 kWh, 15% higher than average."

Generative AI Best Practices

✅ Prompt Tips:

• Be explicit (e.g., "Explain to a technician")

• Include context or examples

• Avoid ambiguity or vague terms

✅ Use Cases:

• Summarizing sensor logs

• Creating helpdesk replies

• Populating dynamic forms

• Translating JSON into English

Debugging Tips

• Use preview/output tab

• Tune prompt → logic → output path

• Log failures with Expression/Logging nodes
  
  
  

Frequently Asked Questions (FAQs)

Q: How do I connect a sensor to Rayven?
A: Use MQTT or HTTP input node. Map to a Secondary Table.

Q: Can AI generate reports?
A: Yes. Use GPT node in workflows + PDF output or email.

Q: How to restrict views per department?
A: Use User Groups + Labels + Interface Filters.

Q: Where is my data stored?
A: Structured data → MySQL; Time-series/IoT → Cassandra.

Q: Can AI explain alerts?
A: Yes. Prompt: "Explain this vibration alert for a maintenance tech."

Security Highlights

• Data at Rest: AES + SHA256 encryption

• In Transit: TLS/SSL 256-bit

• User Roles: Admin, Builder, Viewer

• SSO + MFA Support

• Workflow Audit Logs

Workflow Design Tips

Tip	Description
Modular	Break logic into sub-flows
Naming	Use camelCase (e.g., checkPressure)
Logs	Use Debug + Logging nodes
Efficiency	Skip redundant writes, batch outputs

Deployment Checklist

• ✅ Test workflows in sandbox

• ✅ Use versioned templates

• ✅ Monitor Service Usage for AI/API calls

• ✅ Rotate access tokens periodically