# MCI Co-Build Labs

> An AI product operating layer: one workspace to design, build, evaluate, deploy and operate AI products, connected to the models, data and tools teams already use.

MCI Co-Build Labs is a product-validation prototype and private beta for professionals, founders, developers, product teams and enterprises. It orchestrates the workflow from idea to blueprint, prototype, evaluation and deployment, without forcing customers to pick infrastructure providers.

Full machine-readable content: [llms-full.txt](/llms-full.txt)

## Key facts

- Product: MCI Co-Build Labs, an AI product operating layer (not a course or bootcamp).
- Core workflow: Idea -> Blueprint -> Prototype -> Evaluation -> Deploy -> Operate (six steps).
- Model-agnostic: works with the AI models, APIs, data sources and infrastructure a team already uses; no vendor lock-in.
- Built in: evaluation scoring, cost and usage visibility, one-click deployment.
- Availability: private beta, request access at /beta.
- Operated by Management Career Institute (MCI). Contact: kunal@mciskills.online, +91 9977220325.

## Pages

- [Home](/): What MCI Co-Build is, the live product flow and the private beta signup.
- [Platform](/product): The product operating layer, its modules and capabilities.
- [How it works](/how-it-works): Idea to blueprint to prototype to evaluation to deployment in six repeatable steps.
- [Use cases](/use-cases): AI agent blueprints — internal copilots, customer support AI, document intelligence, RAG search, workflow automation.
- [Integrations](/integrations): Supported models, data sources and tools, plus roadmap voting.
- [Pricing](/pricing): Plans for builders, teams and enterprises.
- [Private beta](/beta): Request access to the private beta.
- [Waitlist](/waitlist): Join the waitlist for early access.
- [Enterprise](/enterprise): Private workspaces, SSO, audit and custom deployment.
- [Roadmap](/roadmap): What is shipping next.
- [Modules](/modules): The modules that make up the platform.

## Optional

- [Marketplace](/marketplace): Production-ready AI agent templates.
- [Portfolio](/portfolio): Public AI products shipped on the platform.
- [Community](/community): Public build-in-public feed.
- [Labs](/labs): Focused co-build sprints.