Bottr

Bottr is an AI chat bot tool that builds and govern enterprise AI agents on your own infrastructure. Bottr is an enterprise AI operating system for building, governing and deploying use-case-specific agents on your own data and infrastructure.

Bottr is an enterprise AI platform that positions itself as an operating system for agentic workflows. Rather than a single chatbot, it offers a governed stack of five layers: interfaces where users meet agents, enterprise controls, a catalog of purpose built agents, swappable language models, and shared resources such as APIs, integrations, knowledge bases and data sources. Each agent ships with instructions, API actions, knowledge sources and guardrails that are pre-tuned for a specific workflow. The agent catalog is the core of the product. It lists more than 100 agents spread across 15 functional categories, including customer support, document processing, finance and procurement, HR and people ops, IT operations, sales, compliance, healthcare, insurance, banking, legal and supply chain. Typical examples include an OCR and entity extractor that turns PDFs and scans into structured JSON with confidence scores, a claims triage agent that routes simple cases to auto-pay, and a document summarizer that produces briefs with key facts and risks. Teams can toggle agents on and configure them, or build their own from scratch. In practice, Bottr is aimed at organizations with real data gravity: insurers, banks, healthcare providers, TPAs and large operations teams. The platform is model agnostic (GPT, Claude, Gemini, Llama, Kimi, DeepSeek, or bring your own key) and infrastructure agnostic, running in cloud, private VPC, on-premise or air-gapped environments with access controls, audit logs, data retention and analytics wrapped around every agent. A no-code visual editor sits alongside a REST API, embed widget, role based access control and audit logs. Compared with consumer assistant apps, Bottr is heavier and more administrative: it assumes an IT and security stakeholder, an onboarding engagement, and a willingness to connect internal systems. The company also frames adoption as a service, pairing agent deployment with workforce upskilling and ongoing tuning rather than a self-serve download.