Teaching Your Agents
See how your agent reasons and what it retrieves, then correct it with low-code controls.
Build AI agents grounded in your company's own data, then see and shape how they think. Get full visibility into every thought, tool call, and retrieval, and change your agent's behaviour without writing code. Deploy on-premises, in your VPC, or in the cloud you already use. We manage the platform either way.
Chocolate Factory StackSee how your agent reasons and what it retrieves, then correct it with low-code controls.
An ontology layer keeps answers grounded, and AI evaluation flags drift before users see it.
Turn repeatable multi-step tasks into workflows agents run in one go, shared across projects.
A citizen-facing agency handles enquiries across a portal form, a hotline, and WhatsApp.
Bid teams answer the same few hundred questions across every tender, with wording that drifts between submissions.
A transaction monitoring system generates thousands of alerts a month and the large majority are false positives.
Chocolate Factory is a no-code/low-code enterprise AI platform that helps organisations build, deploy, and manage intelligent AI agents without extensive technical expertise. It provides customised, context-aware AI assistants that connect to your knowledge sources and integrate with tools such as databases, MCP servers, workflows, and external APIs.
Agents are customisable AI assistants that do much more than answer general questions. Each agent has its own model, system prompt, and connected tools, so you can tailor assistants for roles like customer support, data analysis, or content writing. They can also take action on your behalf: generating documents and reports, analysing files and data, and automating business workflows.
No. The platform is built for business users to create and manage agents with no code. More advanced needs, such as API integration, are available for technical teams when required.
Tools let agents go beyond answering questions and take action for you. When you send a prompt, the agent understands the request, decides whether a tool is needed, runs it, and uses the result in its response. Agents can connect to your databases, knowledge bases, MCP servers, workflows, and external APIs, so they work with the systems your business already runs on.
Yes. Your data is stored in a secure cloud environment associated with your project, and access is restricted to authenticated team members within your organisation. You can also deploy within your own VPC.
Chocolate Factory exposes two HTTP APIs for calling agents from external applications: /chat for streaming chat experiences such as widgets, copilots, and multi-turn conversations, and /execute for one-shot request and response use cases such as forms, content generation, and backend jobs.
Please contact the Chocolate Factory team for current pricing and plan information.
It's where you build, run, and govern AI agents: software workers that can reason over context, use your tools, and complete multi-step tasks end to end. Chocolate Factory gives you the orchestration, controls, and observability to do that safely in production.
A copilot suggests; an agent acts. Agents take real actions across your systems, coordinate with one another, and follow a process to a finished outcome, always inside the guardrails and approvals you define.
Every agent runs under explicit policies and permissions. You decide which steps require human approval, what data each agent can touch, and what it's allowed to do, and every action is logged in an immutable audit trail.
Yes. Agents connect to your CRMs, ERPs, data warehouses, internal APIs, and knowledge bases through governed connectors, so they work with the stack you already run.
We support private and in-VPC deployment, encryption in transit and at rest, role-based access, and data residency controls, designed to meet enterprise security and compliance requirements.
Talk to the team that built GCC and CWP for the Singapore Government.