AgamaBot Tailored AI integration for your organization
We build the agent, the interface, and the deployment around your data, your workflows, and your users.
What AgamaBot does
Five capabilities we can build into a tailored integration.
Agentic Workflows
Multi-step work runs on LangChain and LangGraph rather than a single prompt. Each node in the graph can call a specific tool or fetch from your data sources, and fail-safes and rule enforcement are part of the workflow rather than something added afterwards.
- LangChain
- LangGraph
- Tool Calling
Customizable Interface
Start from a pre-built theme or tailor colors, fonts, and the chat widget layout to your brand. The widget embeds into a page you already run, so your users read it without a second system to learn.
Monitoring and Traceability
A LangFuse integration records a trace for every conversation, so your team can audit a run and improve the workflow from evidence instead of guesswork.
View full-size image: Monitoring and Traceability
Open-Weight, Self-Hosted Deployment
Open-weight models let the stack run on your own servers or private cloud, so conversation data stays in infrastructure you operate and configure yourself. You decide which fine-tuning and policy controls your environment needs, and you verify them against your own standards.
Closed-Beta Partner
A medical tourism review platform partner has built tailored health-advisor flows on AgamaBot to guide patients through their options. They are in closed beta. Healthcare is one use case we work in, not the only one.
Built around you, end to end
Agentic workflows that call your tools, an interface you can embed and theme, open-weight deployment on your own infrastructure, and conversation tracing come together in a tailored integration.
Bring your data, workflows, and constraints to a free consultation. Let’s talk through what AgamaBot could look like for your organization.