Agentic AI Apps

Agent development frameworks · by DataRobot

Develop, deliver, and govern custom agentic AI applications for business needs.

Ranking recognition

  • Agentic AI Apps · #1 for Predict Equipment Failures in Cross-industry

What it does

Develop, deliver, and govern custom agentic AI applications for business needs. Build custom agentic AI solutions that align with your business, protect your data, and integrate with everyday operations.

  • Build, operate, and govern AI at scale
  • Develop, deliver, and govern AI solutions
  • Build and deploy agentic AI applications
  • Manage risk, fraud, customer growth, and insurance operations in financial services
Category
Agent development frameworks
Built for
Financial services and insurance
Users
Enterprise businesses, AI leaders and practitioners, Government agencies, Oil and gas and 3 more
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Product insights

Evidence for this product in each industry and task.

#10 · coach call agentsView ranking →

Documented workflow

“Smart Resolution Orchestration Analyze customer history and sentiment to autonomously offer personalized substitutions for out-of-stock items. Intelligent Refund Processing Validate return requests against policy, initiate…”

Read product documentation
  • Smart Resolution Orchestration Analyze customer history and sentiment to autonomously offer personalized substitutions for out-of-stock items. Intelligent Refund Processing Validate return requests against policy, initiate…
    Read source · www.datarobot.com ↗

Pricing

  • Free trial$0

Prices as published by DataRobot, checked Nov 2026.

Security and compliance

As reported by DataRobot. Ask for audit reports before you buy.

  • TLS 1.3Compliant
  • Encryption in transit and at rest
  • Encryption configurable with customer-supplied certificate authorities
  • DNSSEC compatibility
  • SAML-based SSO (enterprise)
  • LDAP integration (Self-Managed)
  • Multi-Factor Authentication
  • OAuth for data connections
  • API authentication via bearer token (DataRobot API)
  • API authentication via HTTP (Prediction Server API)
  • TLS 1.3 for API communications
  • Admin governance of OAuth connection access

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