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CustomGPT

customgpt.ai
Summary

CustomGPT provides a no-code platform for businesses to build and deploy custom AI chat agents. These agents can be trained on a company's specific data to automate customer service, streamline internal processes, and enhance competitive analysis. The platform offers API access for integration and includes enterprise-grade security features.

Features
4/13
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Must Have

4 of 5

Conversational AI

API Access

Safety & Alignment Framework

Enterprise Solutions

Fine-Tuning & Custom Models

Other

0 of 8

Image Generation

Code Generation

Multimodal AI

Research & Publications

Security & Red Teaming

Synthetic Media Provenance

Threat Intelligence Reporting

Global Affairs & Policy

Pricing
Tiered
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Standard

$89.00 monthly
  • 10 agents
  • 1,000 queries per month
  • 5,000 documents per agent
  • 60M words storage capacity
  • 3 team members
  • RAG API Access

Premium

$449.00 monthly
Popular
  • Everything in Standard, plus
  • 25 agents
  • 5,000 queries per month
  • 20,000 documents per agent
  • 300M words storage capacity
  • 5 team members
  • Auto-sync website content
  • Remove CustomGPT Branding

Enterprise

Custom
  • Everything in Premium, plus
  • Custom data, queries, and seats
  • Enterprise-grade SOC-2 security
  • Custom SSO
  • Data processing agreement (DPA)
  • Dedicated account manager
  • Engineering support
  • Auto-sync all sources
Rationale

CustomGPT offers a platform for businesses to create custom AI chat agents, which directly aligns with the 'conversational-ai' feature. They explicitly mention 'API Access' for integration and offer 'Enterprise' plans with advanced security features, fulfilling 'enterprise-solutions' and aspects of 'safety-alignment-framework'. While they emphasize anti-hallucination and data security, a comprehensive 'Safety & Alignment Framework' as described (evaluating, monitoring, mitigating risks across AI deployments) isn't fully detailed beyond security measures. There's no explicit mention of fine-tuning models with custom data, but rather training agents on business content, which is a similar concept but not precisely 'fine-tuning' in the sense of adapting base models.