AI Agent Platform
Once a business runs more than a couple of AI agents, the plumbing starts to matter. Platform products give your agents shared memory, a common knowledge source, a way to coordinate and a single gateway for every request. They are built for technical teams who want control over cost, models, prompts and logs.
Products in this category
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PlatformAI Agent Orchestration System
Coordinates multiple agents, tools and handoffs in one runtime.
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Platform
MCP Server Build
A production MCP server for one of your systems, with up to 8 tools, secure sign-in, action logging and tests in AI…
What problems do platform products solve?
Without a platform layer, each agent tends to carry its own copy of knowledge, its own prompts buried in code and its own model keys. That gets hard to manage fast. These products pull those pieces into shared, governed services, so every agent works from the same foundation.
- AI Gateway routes all AI requests through one point with keys, limits and logs
- AI Model Router sends each task to the most suitable model by cost, speed and quality
- AI Prompt Management versions, tests and deploys prompts outside your code
- AI Agent Memory System gives agents durable, scoped memory with retention rules
- AI Agent Knowledge Layer provides one retrieval layer for all your agents
- AI Agent Orchestration System coordinates agents, tools and handoffs in one runtime
Which platform product comes first?
Teams worried about spend and visibility usually start with AI Gateway or AI Model Router. Teams whose agents give inconsistent answers tend to start with AI Agent Knowledge Layer. If prompts change often and live deep in code, AI Prompt Management helps. Orchestration and memory tend to follow once several agents need to work together on the same tasks.
Questions buyers ask
Is the gateway the same as the model router?
They overlap but have different jobs. AI Gateway is the single entry point for AI requests, handling keys, limits and logs. AI Model Router decides which model should handle each task based on cost, speed and quality. Some teams use the gateway alone, while others add routing on top.
Why keep prompts outside our code?
When prompts sit in code, every small wording change needs a developer and a release. AI Prompt Management lets you version, test and deploy prompts separately, so changes can be tried and rolled out with less friction and a clear history of what changed.
Where does the platform run?
In your own accounts, so your keys, logs and agent memory stay in infrastructure you control. The fixed scope is listed on each product page alongside the price and delivery time, and the written Scope Card explains exactly what gets built.
Choosing between Platform products?
Tick Compare on up to four products to see scope, price and delivery side by side. If you would rather talk it through, an expert can help you pick the one that fits how you work.