Company profile

Narada AI

Agentic Process Automation for complex enterprise workflows.

narada.aiProfile compiled July 20261 source page read
Category
AI agents & automation
Headquarters
Berkeley, California
Sells to
Enterprise
Business model
SaaS subscription
Deployment
Cloud / SaaS, On-premise
Pricing
Freemium · free tier
Builds own models
Yes
Modalities
Text

Narada AI, developed by AI experts from UC Berkeley, transforms enterprise operations with Agentic Process Automation. Unlike traditional AI assistants, Narada's Large Action Models (LAMs) go beyond content generation to planning, orchestrating, and executing complex business processes across different enterprise applications. It seamlessly operates across common enterprise tools like ServiceNow, SAP Concur, Salesforce.com, Slack, and Outlook, automating tedious workflows such as processing invoices, updating records, managing approvals, and testing—all without scripting or configuration. Narada converts natural-language instructions into task execution, operating tools through a combination of API function calls and browser-based UI automation, with on-prem deployment options for data privacy and security.

  • Narada EnterpriseA custom plan for enterprise-grade orchestration with custom Narada Credits, advanced voice hours, API access, priority support, on-prem deployment, BAA/DPA/GDPR/HIPPAA compliance, custom contract redlining, dedicated TAM, and use case tuning for high reliability.
  • Agentic Process Automation
  • Large Action Models (LAMs)
  • Natural-language instruction to task execution
  • Operates across desktop apps, web, and Citrix
  • Seamless integration across diverse tools and ecosystems
  • Automates browser-based web portal actions
  • Self-healing automation resilient to interface changes
  • On-prem deployment options for data privacy and security
  • No scripting or configuration required
  • API function calls and browser-based UI automation
  • Does not train AI models on customer data
  • Automating workflows in the dark corners of the enterprise
  • Automate order and invoice processing
  • Automate competitive pricing and market research
  • Automate high volume claims processing (Citrix/On-Prem)
  • Streamline CRM and ticketing system updates
  • Accelerate accounts receivables and collections
  • Process travel & expenses and HR requests through chat
  • Processing invoices
  • Updating records
  • Managing approvals
  • Testing

Narada AI utilizes Large Action Models (LAMs) developed by AI experts from UC Berkeley and Stanford to automate complex business processes. These LAMs go beyond content generation to plan, orchestrate, and execute tasks across various enterprise applications. The technology is rooted in breakthrough research from the UC Berkeley AI Research Lab. Narada converts natural-language instructions into task execution, operating tools through a combination of API function calls and browser-based UI automation. The company explicitly states they do not train AI models on customer data.

Tech named: Large Action Models (LAMs), Agentic Process Automation

  • Developed by AI researchers from Berkeley and Stanford
  • Agentic AI that meets enterprise standards for reliability, robustness, and safety
  • Rooted in breakthrough research from the UC Berkeley AI Research Lab
  • Founders are leading AI researchers and serial entrepreneurs with deep enterprise backgrounds
  • Investors include co-founders of Databricks, Perplexity, Cloudera, MosaicML, Coverity, Babblelabs, Cruise, OmniML, and esteemed faculty from Berkeley, MIT, Stanford, Columbia, and the University of Washington
  • SOC 2 (Type 2) compliant
  • GDPR compliant
  • CASA Tier 2 compliant
  • CCPA compliant
  • HIPAA compliant (option available in Enterprise Plan)
  • Beyond traditional RPA
  • Goes beyond content generation to planning, orchestrating, and executing complex business processes

From the AI funding tracker — rounds as reported by the linked publications.

This profile was compiled from Narada AI's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.