Platforms for agentic engineering, compared.
A guide to the solution categories you'll meet when choosing a platform for agentic engineering: what each does best, where it stops, and how Mia-Platform fits.
Before you start. A transparent comparison, to help you choose freely. We compare categories, never products.
A note from our leadership
A fast-moving market, and a way to find your bearings.
This comparison is here to help anyone who has to choose in a market that moves fast. It's a transparent comparison, designed to help you understand which category of solutions best fits your needs. We compare categories, never individual products, and we also say where Mia-Platform fits, so you can weigh it with a critical eye.
We share our experience and the public documentation of each category, so that your choice is considered and informed, built on your own use cases.
Francesco Soncini Sessa · CFOFederico Soncini Sessa · COOGiulio Roggero · CTO
What agentic engineering needs from a platform.
Does it enforce rules where AI runs? Does it work with any agent, model, cloud and toolchain, or only inside its own stack?
- 1Internal Developer Platforms & Portals
- 2DevOps Platforms
- 3AI & MCP Gateways
- 4Hyperscaler Agent Platforms
- 5Build In-House (not a market: it can land anywhere)
- 6Developer Productivity Insight Platforms
- 7AI Governance Platforms
- 8AI Cost & FinOps Tools
Positions are indicative and based on public documentation. Categories are broad and individual products vary. Build In-House is an approach, not a market category, so it can sit anywhere on the map.
Mia-Platform vs eight categories.
Each page explains what the category is for, where it excels, where it stops, and gives you the questions worth asking any vendor in it.
Internal Developer Platforms & Portals
Portals describe, measure and orchestrate from a catalog. See where they shine, and where governing AI agents needs more.
DevOps Platforms
Mature pipeline governance inside their own toolchain. What happens to the agents that never touch it?
AI & MCP Gateways
Deep at the call. But a gateway alone doesn't know who the agent is, what it knows or what it may do in production.
Hyperscaler Agent Platforms
Strong enforcement inside their own cloud. The catch: your AI rules end up living in that cloud too.
Build In-House
A homegrown platform on open source, built with pride. What its AI layer costs to keep current, and what you don't need to build.
Developer Productivity Insight Platforms
They show whether AI pays off. Mia-Platform measures it too, and gives you the levers to raise the return.
AI Governance Platforms
They hold the policy and the inventory. We apply the policy where agents act, and produce the evidence they consume.
AI Cost & FinOps Tools
Cost reports after the bill. AI spend managed before the first token.
Categories that work alongside Mia-Platform.
Some categories complete your stack rather than compete with it. Here is the line that separates them from Mia-Platform.
- AI code assistantsMia-Platform doesn't replace them. It gives every assistant the same context and the same rules.
- Cloud-native runtimesThe runtimes Mia-Platform deploys to, not an alternative to it.
- Vibe-coding platformsGreat for prototypes. Mia-Platform is the governed path from prototype to production.
- Enterprise search & code intelligenceThey retrieve context. Mia-Platform governs which context each agent gets.
- Data platformsThey govern agents where the data lives. Mia-Platform federates context across them under one rule set.
- Business agent builders & iPaaSFast inside one ecosystem. Mia-Platform reuses their integrations as governed context.
How we compare
We compare categories of solutions, never individual products. Descriptions reflect what each category typically offers according to publicly available documentation and marketing materials.
Found something that isn't accurate? Let us know and we'll check it.