Recapi AI provides the complete infrastructure for creating, deploying, and managing production-grade AI digital employees.
Select and combine the best AI models for each task - GPT, Claude, Gemini, or custom fine-tuned models - based on requirements.
SOC2 Type II, HIPAA, PCI-DSS compliant. All data encrypted at rest and in transit with zero-trust architecture.
Edge-optimized deployment with TensorRT acceleration for real-time voice and chat interactions.
Monitor agent performance, track KPIs, and get actionable insights from every interaction.
Deploy AI agents across voice, SMS, web chat, email, and custom channels from a single platform.
Your data never leaves your VPC. Volatile memory processing ensures no PII is retained post-inference.
Build comprehensive knowledge bases from documents, conversations, and guided calls for precise agent training.
Design complex multi-step workflows with decision trees, branching logic, and human-in-the-loop checkpoints.
Recapi AI is the platform for building fully autonomous Digital AI Employees. Our agents execute complex, end-to-end tasks with high accuracy, leveraging a unique simulator engine to bridge data gaps by conversing directly with you/your team.
Our platform achieves this through a structured, 4-layer approach:
Select from our library of domain-specific AI agents trained for roles like sales, customer service, manufacturing, and more. Each agent comes with industry-specific knowledge and best practices.
Enhance your AI agent with your company's unique processes, documents, and workflows. Your data remains secure and private while making your agent truly yours.
Let our AI observe your team's daily tasks through screen recording, mouse movements, keyboard inputs, and voice commands. This creates a personalized training dataset without manual data generation.
Your AI agent replicates your team's actions with high accuracy, operating continuously to handle complex workflows while your human team focuses on strategic work.
The conventional approach begins with available data and asks what can we build with this? Recapi begins with the intended outcome and asks what does intelligence need to understand to achieve this?