Natural, human-like, and empathetic AI conversations.<500ms latency.
Batch Calling
Run batch calls with no concurrency limits. Set up outbound campaigns to automate outreach efforts.
Automatic Follow-Up
Your calls are not single events. Choose templated follow-up workflows for your AI agent to proactively reach back out to your customers with full knowledge of previous interactions.
Book Appointments
Your AI agents can automatically trigger webhook events and send structured JSON data to external APIs based on conversation state.
... And Text Agents to Automate Everything Else
Easy Setup
Take 10 minutes to setup. Train the AI and customize the chatbot to align perfectly with your brand and voice.
Personalized Answers
Connect directly to your CRM. Automatically inform your AI agent who it is talking to each time the user returns to your website. Tailor each response to address what your users care about the most.
24/7 Availability
Round-the-clock access to quality support. Let your AI agents handle routine queries while you stay focused on growing your business.
Omni-Channel
Unified inbox to monitor engagement across email, SMS, web chat, and social media channels
Seamless Integrations
Integrate with Make, Zapier, n8n for workflow automations. Deploy on Slack, Notion, Wordpress, Webflow, and more!
How it works
01
Build
Use our no-code builder or API to create intelligent support agents. Upload training data effortlessly to fine-tune the AI’s knowledge.
02
Test
Iteratively test and optimize your AI behavior with built-in self-learning suite. AI gets smarter each time.
03
Deploy
Put your AI agent to work on phone calls, email, SMS, web chat, social media, and more.
04
Monitor
Monitor engagement, review transcripts, extract data, raise real-time alerts, and escalate to human agents as needed.
Enterprise-Grade Security & Compliance
We take privacy very seriously. GPT-trainer is fully compliant with SOC II, ISO 27001, and GDPR. We offer dedicated servers for clients in the EU, as well as SLA and DPA for enterprise clients. Trusted by thousands of businesses to build secure and compliant AI agents.
Explore the evolving landscape of enterprise AI, focusing on the preference for external partnerships over in-house development, the ROI of pre-trained models, the high costs of proprietary LLMs, key vendor selection criteria, and the rise of multi-vendor collaborations.
Explore the leading enterprise AI agent platforms for 2025, understand their capabilities, and find the best solution to scale AI across your business.
Explore Anthropic's Model Context Protocol (MCP), a groundbreaking standard that acts as a universal connector for AI, simplifying how AI systems interface with external data and services. Learn about its benefits, architecture, implementation, use cases, and its role in the evolving AI ecosystem.
This blog post explores Meta's Llama 4, the latest in the Llama series of large language models. We delve into its key innovations, including the Mixture-of-Experts architecture, native multimodality, and massive context window, and compare it to other leading AI models like GPT-4 and Gemini.
Learn how to build an AI voice chatbot for your enterprise with this comprehensive guide covering RAG frameworks, TTS/ASR integration, latency optimization, and CPaaS integration. Discover low-code solutions and best practices for real-world deployments.
Explore the latest advancements in generative AI, including multimodal LLMs, retrieval-augmented generation, and open-source AI models. Learn how these technologies are reshaping industries and daily life.