Mia-Platform vs Build In-House
Every gateway, guardrail and context layer you build is one more to maintain. Mia-Platform gives you the agentic engineering layer, ready, on your platform.
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
Build In-House: three things to take away.
- Where the category shines
Control, fit and pride in the result.
A platform built around your standards, owned end to end by a team that knows your estate.
- Where it stops
Every moving part is yours to maintain.
Gateway, registry, guardrails and context aren't what your customers pay for, yet keeping pace with agent tooling takes extra budget and extra effort from the platform team every quarter.
Where Mia-Platform fitsYour next priorities, already built.
We know what a platform team has to deliver for agentic engineering: governance around the gateway, registry, guardrails, context and cost control. In Mia-Platform they're already available, adopted module by module on top of what you run, so your team starts from them instead of from scratch.
Build In-House, in plain words.
What it is
Building in-house means a platform team extends its own portal or open-source stack and builds the gateway, the guardrails and the agent tooling itself. It also covers the quieter forms of the same choice: every engineer configuring their own agents, skills and tool access, or governance that lives in a policy document.
What it is for
- Full control of the roadmap and of how the platform behaves
- A platform that fits your standards, tools and culture
- A team that understands every layer it runs
Why it matters now
Agent tooling now changes every quarter. What used to be a portal project has become a gateway, an agent registry, a context layer and cost controls to keep current, while each developer sets up their own agents and tool access. Governance that exists on paper but not where AI runs is the most frequent gap.
Where Mia-Platform differs
- Adopted module by module. On top of what you already run: what you built stays, and the parts you would otherwise build are ready.
- Enforced where AI runs. One set of rules, applied to every team's agents at the merge and at every tool call.
- Maintained for you. The foundation keeps pace with new agents, models and standards, so your team spends its time on what is unique to your business.
Build In-House and Mia-Platform: where each approach is strong.
Read the rows that matter to your context. Where the category is as strong as we are, we say so.
| Criterion |  | A typical in-house build |
|---|---|---|
| Enforced where AI runs | Full Standards, access and approvals enforced before code is merged or a tool is called. | Partial Often per-engineer agent setup and policy on paper; enforcement at the call is built in-house. |
| One rule set for every agent and team | Full Defined once, applied to every agent, model and toolchain. | Partial Per-engineer setups tend to diverge over time. |
| Time to a governed agent in production | Full Ready to adopt, module by module. | Partial Gateway, registry, guardrails and context have to be built first. |
| Keeping pace with agents, models and standards | Full Continuous innovation ships with the platform. | Partial A continuous effort for the platform team. |
| Total cost of ownership | Full Upkeep and new capabilities come with the platform; your engineers' time goes to your products. | Partial Engineering time to build and maintain every layer, plus the roadmap that waits meanwhile. |
| Evidence for audits | Full Audit log and item versioning produce evidence your audits can use. | Partial Depends on what the team builds and maintains. |
| Fits a platform team that built its own | Full What you built stays, and governance, context and cost control are added on top. | Full Entirely yours, shaped around how your teams work. |
Based on publicly available documentation and marketing materials. It describes what the category typically offers: individual products vary, so check each one against your own requirements.
The products behind this comparison.
Every Full row in the table comes from one of these products. Each one is a part you would otherwise build and maintain yourself.
Context Catalog
Connect, configure, and serve context to AI agents and applications through a governed catalog of enterprise knowledge.
Explore Context Catalog
AI Foundry
Design, manage, and govern AI Playbooks to bring generative AI applications and agents to production.
Explore AI Foundry
Console
Automate your cloud-native development lifecycle with self-service Environment as a Service capabilities.
IN THIS TABLEExplore Console
Flow
Accelerate prototyping with AI-driven workflows for your enterprise applications and services.
IN THIS TABLEExplore Flow
Fast Data
Configure and manage real-time Fast Data pipelines to power always-on, data-driven decisions across your business.
IN THIS TABLEExplore Fast Data
Build In-House: questions worth asking.
Three questions that cut through the positioning, and how we answer each one. They work for any vendor, including us.
Ask any vendor
With Mia-Platform, rules are defined once and applied to every agent, model and toolchain, whoever sets them up. The alternative is each engineer configuring their own agent, skills and tool access, where setups tend to diverge over time. See this row in the table
About Mia-Platform
Other categories you may be weighing.
Proud of what you built? Keep building. Mia-Platform is designed for teams that already have a platform. It adds governance, context and cost control where agents act, and leaves the roadmap with you.
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.