Put AI agents to work.
Build, connect, deploy, and operate AI agents across voice, digital channels, enterprise workflows, and customer service operations.
CBOT brings models, knowledge, tools, integrations, and governance together, so every AI agent can understand, decide, act, and complete real work.
Everything your AI agents need to finish the job.
Move from request to completed work without stitching together disconnected models, tools, and systems.
CBOT provides one connected foundation for designing AI agents, orchestrating intelligence, integrating enterprise systems, and operating AI safely in production.
Agents that plan, act, and complete.
Design AI agents that break complex requests into steps, make contextual decisions, call tools, execute workflows, and carry processes through to completion.
ONE INTELLIGENCE
One intelligence across every experience.
Create connected AI experiences for customers, employees, and customer service teams, while preserving context across channels, systems, and workflows.
Human-like voice that leads to action.
Voice AI agents that listen, understand, and manage calls naturally from beginning to end. Automate collections, identity verification, appointments, and other business-critical processes with CBOT's proprietary speech technology.
Caller: I need to move my appointment.
Agent: I can do that for you now.
Agents in front of and behind the interaction.
Deploy agents across web, WhatsApp, Instagram, email, and enterprise channels. They engage customers and employees directly, or work behind the scenes to retrieve information, trigger workflows, update records, and complete tasks.
Human teams, supported by intelligence in real time.
Bring live conversations, customer history, enterprise knowledge, suggested responses, next-best actions, and automated summaries into one intelligent workspace for your customer service teams.
From first idea to everyday operation.
CBOT brings the complete AI agent lifecycle into one connected environment, helping enterprises move faster without losing control.
Design
Create agents around real business goals, policies, and processes.
Connect
Connect knowledge, models, tools, APIs, applications, and workflows.
Test
Validate decisions, integrations, actions, and guardrails before launch.
Deploy
Launch across voice and digital channels in your preferred environment.
Monitor
Track performance, model behavior, actions, costs, and outcomes.
Improve
Continuously optimize accuracy, completion rates, and business impact.
One architecture. Specialized intelligence at every layer.
Every CBOT module handles a critical part of the enterprise AI stack. Together, they create one connected environment for building, running, and improving AI agents.
- 01Channels
- 02Agent Experience
- 03AIFlow & OrchestrationCBOT AIFLOW
- 04Models, Knowledge, Speech & NLP
- 05Enterprise Systems & Infrastructure
AIFlow & Orchestration
CBOT AIFlow
Agentic orchestration and workflow execution
Visually design agent workflows, model routing, tool calls, decisions, fallback paths, and human approval steps.
BUILT FOR ENTERPRISE PRODUCTION
Built to run where enterprise AI matters most.
Operate business-critical AI with the performance, control, privacy, and architectural flexibility required by complex and regulated enterprises.
Hybrid AI by design
Combine deterministic business rules, proprietary NLP and NLU, machine learning, and LLM reasoning. Use controlled execution for compliance-critical processes and advanced AI for complex, open-ended interactions.
Explore CBOT platformFull-stack on-premise
Deploy LLM inference, STT, TTS, RAG, vector storage, platform modules, and the complete agent runtime inside your own data center. No voice or interaction data needs to leave your network.
Explore deployment optionsModel-agnostic architecture
Use CBOT LLM, commercial models, open-source models, privately hosted models, or several together, without depending on a single model or provider.
Learn more about LLM orchestrationHigh-performance inference
Optimize model routing, token processing, caching, and GPU utilization to reduce latency, increase throughput, and keep infrastructure costs predictable at scale.
Explore AI infrastructure & inference- Docker containerization
- Kubernetes & OpenShift support
- Independent service scaling
- Horizontal autoscaling
- Private deployment
- Enterprise access controls
Your models. Your data. Your rules.
Maintain control over how AI agents access information, select models, make decisions, and execute actions.
- Model governance
- Control model access, routing, fallback, token limits, and domain boundaries.
- Data governance
- Define retention, anonymization, deletion, and access policies.
- Operational control
- Version prompts, workflows, configurations, and integrations with controlled rollback.
- Enterprise access
- Support role-based access, SSO, MFA, permissions, and audit trails.
PROVEN DELIVERY EXPERIENCE
Years of enterprise experience. Weeks to go live.
CBOT combines proven implementation methods, reusable capabilities, established integrations, and experience from complex production environments.
Move from use case to live AI agents faster, with fewer unknowns, lower implementation risk, and a clear path to scale.
Frequently asked questions
What can enterprises build with the CBOT platform?
Voice AI agents, digital agents, workflow agents, customer service experiences, employee-facing agents, and specialized digital employees.
Can CBOT connect to our existing systems?
Yes. CBOT connects AI agents to APIs, databases, CRM and ERP platforms, contact center infrastructure, enterprise applications, knowledge repositories, and custom internal services.
Can we use different language models?
Yes. CBOT supports CBOT LLM, commercial models, open-source models, privately hosted models, and multi-model architectures.
Can the entire platform run on-premise?
Yes. LLM inference, speech recognition, speech synthesis, RAG, vector storage, platform modules, and the complete runtime can operate within your own infrastructure.
Does CBOT include enterprise knowledge and RAG capabilities?
Yes. CBOT provides document ingestion, chunking, embeddings, semantic retrieval, re-ranking, and an embedded vector database, and can integrate existing enterprise knowledge and vector infrastructures.
How quickly can AI agents go live?
Timelines depend on use-case and integration complexity. CBOT's reusable components and enterprise delivery experience let many projects reach production within weeks.