Workflow with 100+ Options
Braintree
Genesys
Jira
Linkedin
Mailgun
Salesforce
Shopify
Graphql
Microsoft Teams
Slack
Google Analytics
Google drive
Dropbox
D365 FO
Odata- Web Automation
Data Automation Platform: Smarter Workflows, Faster Results
Supercharge your automations with AI driven data engineering & pipelines
- Connect data from files databases cloud apps storage and enterprise systems using over 50 connectors.
- Build workflows with GenAI driven script generation scheduling orchestration and real time control.
- Monitor pipeline health data freshness schema and performance in real time with unified monitoring tools.
By signing up, you agree to our Terms and Privacy Policy.
Unleash the power of your data
Data Integration
Connect, integrate, and prepare your data eliminating the need for complex processes. Ensure all your data is consolidated in one place. Clean, format, and standardize your data for analysis without moving it across multiple tools.
Automate Workflows
Automate everything from data processing and transformation to reporting and alerts, freeing up your team to focus on strategic priorities. Generate scripts or functions with plain language prompts and ensure accuracy with minimal manual intervention.
Monitor Pipelines
Stay in control of your data operations with real-time tracking of pipeline performance. Get instant visibility into your data flows, ensuring that every stage of the pipeline operates efficiently. Easily detect bottlenecks, identify errors, and monitor key metrics.
Build, Automate, and Control Workflows with Ease
End to End Automation at Scale with Workflows
- Aggregate data using 50+ connectors, including files, databases, cloud apps, storage, and enterprise systems powering your intelligent data pipelines.
- Reshape your data with 100+ transformations to cleanse, deduplicate, split, merge, and impute all within a unified data platform.
- Leverage GenAI to generate transformation, normalization, and aggregation scripts automatically, transforming plain-language notes into execution-ready code.
Check out how Infoveave helped a leading Australian utilities provider to automate their billing process
How automation works in Infoveave
Implement automations effortlessly
Infoveave workflows are built from two complementary building blocks — a rich library of activities that move and shape your data, and native platform actions that trigger analytics, ML, and reporting inline. Together they let you automate end-to-end processes without leaving the platform.
The implementation flow
1
Ingest Data
Connect to native solutions, SaaS apps, cloud platforms & databases — bringing unstructured, semi-structured, and structured data together.
2
Transform & Optimize
Remove errors, redundancy & inconsistencies from your raw data so it is accurate and ready for analysis.
3
Enrich Data
Add calculated values, fill gaps, summarize and categorize — turning raw inputs into structured, actionable insights.
4
Monitor Workflows
Track and analyze pipelines in real-time. Identify bottlenecks, optimize processes, and keep performance at its peak.
Activity libraries
Explore what's built into every workflow
67+ activities
Transformations
Pivot, filter, aggregate, reshape, clean, and enrich tabular data.
Browse →18 activities
Data Ingestion
Read CSV, Excel, PDF, HTML, and fixed-format files. Decrypt, zip, and parse documents.
Browse →14 activities
Workflow Activities
Call APIs, execute queries, send emails, control flow, and run integrations.
Browse →AI-powered
AI Workflows
Summarize, classify, and enrich data using Fovea and generative AI activities.
Browse →Native Platform Actions
The second building block — analytics, ML & reporting as workflow steps
These built-in Infoveave capabilities snap directly into any workflow step — execute models, run quality checks, push reports — no external orchestration required.
Execute ML Model
Run trained machine learning models inline in any workflow
Execute What-if
Run scenario simulations on live or historical data
Execute Data Quality
Trigger registered DQ checks and validations as a workflow step
Send Report
Push a scheduled Infoveave report to configured recipients
Download Report
Export and save a generated report to a file destination
Query Datasource
Query a registered Infoveave datasource and return results
Execute SciPy / R
Run Python SciPy or R statistical scripts inside a workflow
Execute T&T
Run a Train & Test ML model job and capture results
Activity libraries and native actions work in concert — together they form powerful, end-to-end automated workflows entirely within Infoveave.
Web Automations
Execute robotic process automations (RPAs) for web based tasks to automate repetitive online work.
- Build automations for reading emails and extracting attachments from PDF formats.
- Scrape websites for structured or unstructured data including product details lead information and reports.
- Automate form filling clicking navigation and triggering workflows based on web events using RPA bots.
- Improve accuracy scalability and efficiency by replacing manual data scraping with bots that work around the clock.
Frequently Asked Questions
