GPT-trainer
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About
GPT-trainer is a comprehensive platform for building and deploying intelligent AI agents capable of handling both voice and text interactions. Unlike basic chatbots, these agents function as digital knowledge workers that can be trained on a company's specific documentation—including PDFs, Excel files, and web pages—to provide accurate, brand-aligned responses. The system is designed to streamline business operations by automating repetitive tasks like answering FAQs, qualifying leads, and updating CRM records without manual intervention. The platform stands out for its multi-agent architecture, where an AI supervisor orchestrates different specialized agents based on user intent. In practice, this allows businesses to create complex workflows such as automated outbound phone calls with sub-500ms latency, human-like voice interaction, and seamless handover to real agents when necessary. For text-based support, it offers omni-channel deployment across SMS, email, WhatsApp, and Slack. Its no-code builder makes it accessible for non-technical users, while its robust API and support for Model Context Protocol (MCP) allow for deep integration into existing technical stacks. This tool is primarily tailored for mid-to-large enterprises, customer success departments, and sales teams looking to scale their outreach and support capabilities without proportionally increasing headcount. Because it supports over 95 languages and maintains high-level security certifications like SOC II and ISO 27001, it is also suitable for global organizations and industries with strict compliance requirements. What differentiates GPT-trainer is its versatility in model selection; users can choose from various LLMs including OpenAI, Anthropic, and Google, or even opt for dedicated hosting for custom fine-tuned models.
Pros & Cons
Supports a wide selection of LLMs including OpenAI, Anthropic, Google, and DeepSeek.
Maintains high-level security compliance with SOC II, ISO 27001, and GDPR certifications.
Offers exceptionally low voice latency of under 500ms for natural phone conversations.
Includes built-in multi-agent orchestration for handling complex specialized tasks.
Provides seamless integration with major business tools like HubSpot, Zendesk, and Zapier.
The Self-Serve plan does not include HubSpot or Zendesk integrations.
Data is not end-to-end encrypted while stored on the platform's servers.
Scraped website content does not automatically refresh when the target site changes.
The AI Supervisor feature is only available on Scale and Enterprise tiers.
Use Cases
Customer success teams can automate up to 70% of support inquiries by training agents on help documentation and FAQs.
Sales departments can launch batch outbound calling campaigns to qualify leads and sync results directly to their CRM.
E-commerce businesses can deploy AI agents to handle order tracking and inventory lookups via SQL table integrations.
Technical teams can use the API to build custom generative AI connectors for internal business logic and applications.
Support managers can set up automated follow-ups via SMS or email after a voice interaction to ensure lead retention.
Platform
Task
Features
• model context protocol (mcp) support
• omni-channel deployment
• automated batch calling
• human escalation routing
• rag with etl pipeline
• crm & webhook integration
• low-latency ai voice
• multi-agent architecture
FAQs
What kind of data can I use to train my AI agent?
You can upload various text document formats including PDF, Word, Excel, Markdown, and CSV. Additionally, you can provide URLs for automatic scraping or input text directly to create the agent's knowledge base.
Does GPT-trainer support multiple languages?
Yes, the platform supports over 95 languages. This is made possible by utilizing advanced LLMs like GPT-4, which are trained on vast datasets encompassing global languages.
What is the difference between Message Credits and Voice Credits?
Message credits are used for standard text-based interactions across chat and social channels. Voice credits specifically power AI voice agents for phone calls and audio-based customer service.
Where is my data stored and is it secure?
Data is hosted on Amazon Web Services (AWS) servers in Oregon, USA. The platform is compliant with SOC II, ISO 27001, and GDPR standards to ensure enterprise-grade security.
How do AI Voice Agents handle latency during phone calls?
The voice agents are optimized for low latency, typically achieving response times of less than 500 milliseconds. This ensures that conversations feel natural and human-like rather than delayed.
Pricing Plans
Self-Serve
USD150.00 / per month• 12,000 Message credits
• 30,000 Voice credits
• 2 Chatbots
• 1 Million training tokens/bot
• 4 Collaborators
• Use own AI key
• Function calling (1/agent)
• Slack & Zapier integration
Scale
USD600.00 / per month• 60,000 Message credits
• 130,000 Voice credits
• 8 Chatbots
• 5 Million training tokens/bot
• 8 Collaborators
• AI Supervisor
• HubSpot & Zendesk integration
• Custom domain support
Enterprise
Unknown Price• Unlimited Message credits
• Unlimited Chatbots
• On-prem hosting options
• SLA commitment
• Dedicated engineers
• Full white label
• Custom LLM support
• Source code availability
Free
Free Plan• 2 week Pro trial
• No credit card required
• Public API access
• No-code builder
• Web chat deployment
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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