What is MCI Co-Build?

MCI Co-Build is an AI product operating layer — one workspace to design, build, evaluate, deploy and operate AI products, connected to the AI models, APIs, data sources and infrastructure a team already uses.

How do you build an AI agent from idea to production?

In six repeatable steps: define the idea as a written spec, architect the agent's job, data and tools, build a working prototype, evaluate it with scored runs, deploy it in one click, then operate it with real cost, token and latency metrics.

Which AI models and infrastructure does MCI Co-Build support?

It is model-agnostic. You connect the models, APIs and data sources you already use, and you do not have to choose a hosting or infrastructure provider unless you enter advanced architecture mode.

How do I get access to MCI Co-Build?

MCI Co-Build is in private beta. Request access on the beta page, or join the waitlist for early access.

MCI Co-Build · Private beta

Build AI products.
From idea to production.

One workspace to design, build, evaluate, deploy and operate AI products — while connecting the AI models, APIs, data and infrastructure your team already uses.

Try Interactive Beta Join Private Beta

Interactive beta is a guided product simulation. No account required.

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Build your AI product — right here.

Describe what you want. Watch the platform generate a real blueprint, build the prototype, evaluate it and deploy a live demo — the exact flow you get in the private beta.

01 · The problem

AI is easy to prototype. Production is still fragmented.

Tap every layer your team stitches together today. We'll show you what that journey really costs before a single customer touches it.

One AI product journey — what a team actually stitches together

Layers to own

4 handoffs

Coordination / week

~18 hrs

est. across the team

Tooling floor / month

~$900

before model + GPU spend

Directional estimates based on your selection — not a quote. MCI Co-Build collapses these layers into one workflow.

Six steps from idea to operating product.

STEP 1

Idea

Capture the product, its users and the business outcome in plain language.

STEP 2

Architect

Get a recommended model, data, agent, API and deployment design you can adjust.

STEP 3

Build

Generate the working product surface — prompts, tools, data flows and endpoints.

STEP 4

Evaluate

Score quality, task success, security posture and estimated running cost before launch.

STEP 5

Deploy

Ship to a managed environment with preview and production releases.

STEP 6

Operate

Watch requests, uptime, usage, cost and alerts in one operations view.

We don't replace the AI ecosystem. We orchestrate it.

MCI Co-Build is the control and workflow layer above the models, data and tools you already use.

MCI Co-Build

Control / Workflow

Models

OpenAI
Claude
Gemini
NVIDIA

Data

Supabase
Postgres
Pinecone
Vector DB

Tools

APIs
n8n
Webhooks
MCP

Deployment — Vercel · Railway · Modal

Production Product

Monitor / Optimize

02 · The intelligence layer

The moat isn't the interface. It's the decisions.

Seven layers of decision intelligence

Layer 1 · Workflow

Every project follows one operating path from idea to production — no rediscovery each time.

What accumulates over time

Workload

▼

Architecture chosen

▼

Model selected

▼

Infrastructure used

▼

Cost incurred

▼

Performance measured

▼

Outcome recorded

The long-term advantage

Every project run on MCI adds to an operational record: which architectures actually worked, at what cost, at what quality. Anyone can copy an interface. Nobody can copy the history.

03 · Differentiation

We don't compete with every tool. We connect them.

Provider-agnostic by design.

Live status below is real: green means it is connected and running in the beta today. Everything else is on the roadmap — vote and you move it up the queue in real time for everyone on this page.

Models

Use the reasoning models you already trust.

Google Geminilive
OpenAIroadmap
Anthropicroadmap
NVIDIAroadmap

Data

Bring your own operational and vector data.

Supabaselive
PostgreSQLlive
Vector databasesroadmap

Deployment

Ship where your team already ships.

Vercelroadmap
Railwayroadmap
Modalroadmap

Automation & API

Connect your product to everything else.

REST APIslive
Webhookslive
n8nroadmap
MCProadmap

Need something else connected?

Requests are recorded instantly and prioritised by real demand.

What teams build on the layer.

Pick the closest one, add one line about your business, and the live model returns a real mini-blueprint — outcome, architecture and your first milestone.

Live model connected.

Internal copilots

Assistants grounded in company knowledge that answer, draft and summarise for staff.

Product teams · Operations

Customer support AI

Deflect repetitive tickets with grounded answers and safe hand-off to humans.

Support · CX leaders

Document intelligence

Retrieve, compare and extract from contracts, policies and reports with citations.

Legal · Finance · Compliance

Workflow automation

Multi-step agents that route, approve and update systems with an audit trail.

Operations · IT

Customer-facing AI features

Ship AI capability inside your own product with usage and cost controls.

Founders · Engineering

Analyst assistants

Turn structured data into explanations, briefs and recommended next actions.

Data · Strategy

04 · Who it's for

Tell us who you are. We'll show you your path.

AI builders & technical professionals

AI engineers · developers · solution architects · technical founders

What you get

Skip the stitching. One workspace that already wires models, data, evaluation and deploy together — adopt it today, no purchase order needed.

Start building in the beta

Private beta · invites in small batches · no infrastructure setup required.

Why teams choose an operating layer.

Most AI work stalls between the prototype and production. MCI Co-Build closes that gap with structure — for professionals, founders, developers, product teams and enterprises.

Try Interactive Beta

One layer, not ten tools

Specification, architecture, build, evaluation, deployment and operations live in a single workspace with one source of truth.

Secure by construction

Credentials stay server-side, access is scoped per workspace and project, and every change is recorded in an audit trail.

Cost visible before launch

Estimated running cost and production readiness are shown before you deploy, not after the invoice.

Built for teams

Owners, members, reviewers and viewers work on the same product with clear roles and review gates.

Ship your first AI product this quarter.

Private beta invites go out in small batches. Tell us what you want to build and we’ll prioritise access accordingly.