Whether you need Data Analysts, HR professionals, or any professional, Chocolate Factory lets you deploy customised AI workers to seamlessly automate your workflows.
Chocolate Factory is Xtremax enterprise GenAI platform that helps organizations create AI workers tailored to their internal knowledge, business rules, and operational workflows. It enables teams to turn fragmented documents, data, and processes into intelligent assistants that can support research, drafting, summarization, knowledge discovery, and task execution. Designed with governance in mind, Chocolate Factory helps enterprises adopt AI in a controlled and practical way. It supports grounded responses, configurable agent behavior, traceability to trusted sources, and integration with enterprise tools, allowing organizations to improve productivity without compromising control, security, or accountability.
Highlights
ChocolateFactory is purpose-built to accelerate AI transformation. It doesn't just surface insights, it operationalises them, enabling organisations to move from discovery to deployment at pace.
1) Unified data and AI layer in one platform
2) Rapid iteration from insight to use case
3) Scalable architecture for rolling transformations
4) Built-in governance and auditability
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You choose between two contract plans based on how many AI agents you need to run. The Basic Plan covers 1 to 3 agents. The Premium Plan covers 3 or more agents, so it fits larger deployments across teams. Both plans are billed as contracts and priced by requests, meaning cost tracks the volume of agent activity. As your agent count and usage grow, you move from Basic to Premium. This lets pricing scale with the size of your AI workload rather than the number of user seats.
Top-of-mind questions for buyers
What counts as one agent for billing under these plans?
An agent is a custom AI worker your team composes in the platform. You build each one around specific data, tools, and guardrails for a use case. The Basic Plan covers 1 to 3 of these agents. The Premium Plan covers 3 or more agents deployed across teams.
Does my cost depend on how many people use the agents?
No. Both plans are priced by requests, not by user seats. Cost tracks what your agents actually do, not how many people log in. This means spend scales with agent activity and request volume rather than the size of your team.
What happens to my cost as agent activity grows within a plan?
Cost tracks the volume of requests your agents generate. More agent activity means more requests billed. The platform includes cost monitoring that tracks spend by agent, team, model, and run. Moving from Basic to Premium happens when your agent count reaches or passes three.
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Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
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