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The situation we're built for

Your engineering team is capable. The problem isn't skill, it's time.

Every internal AI initiative requires the same foundational work before a single line of business logic gets written: model serving infrastructure, data connectors, security controls, observability, deployment pipelines, governance frameworks. Six months of plumbing. Your engineers know how to build it. They also know it's not the best use of their time.

What we deliver, three components

MisaCores

Containerized AI building blocks. Pre-built, field-tested, and ready to deploy. Each MisaCore handles a specific capability: retrieval, recommendation, document processing, conversational AI, search, summarization. Your engineers compose them into solutions for your specific business problems.

Connectors

Pre-built integrations to the systems your business actually runs on. Salesforce. Oracle. SAP. NetSuite. Snowflake. Your own internal databases and APIs. No need to build adapters from scratch.

Deployment infrastructure

The orchestration, observability, monitoring, and governance layer that makes AI production-ready inside your environment. On-premises, cloud, or hybrid, your choice, every time.

Step 01

Architecture review

We map your existing systems and identify where MisaCores fit.

Step 02

Sandbox deployment

Your engineers get hands-on with the components in a controlled environment.

Step 03

Production deployment

We support the first deployment inside your environment, then your team takes the lead.

Step 04

Ongoing support

Updates, security patches, and new MisaCores released on a monthly cadence.

Reason 01

Field-tested in production

Every component has already shipped inside a customer environment. You're not the beta.

Reason 02

Your environment, your control

Everything runs inside your infrastructure. No data leaves. No external dependencies in the hot path.

Reason 03

Composable, not monolithic

Use one MisaCore or twelve. They were designed to be assembled the way your engineers actually build software.

Reason 04

Weeks to production, not quarters

The foundational plumbing is already done. Your engineers focus on the business logic that actually matters.

Case Study Finance

Building an AI governance layer
for an enterprise-wide AI rollout.

A fast-growing organization needed a system-agnostic foundation so every employee could access AI safely, with full admin visibility into usage, cost, and permissions across the business.

The situation

  • Teams across the business were using different LLMs, connecting them to different internal tools, with no central visibility into who was accessing what or at what cost.
  • Leadership couldn't answer basic governance questions, data exposure, permission structures, or whether AI usage aligned with company policy.
  • The goal wasn't to slow AI adoption down, it was to scale it safely with a foundational layer that gave admin-level control across the entire AI footprint.
  • MisaLabs deployed an AI governance layer inside their environment: a unified admin portal, a model-agnostic routing layer governed by policy, connectors into existing systems, and full token cost visibility with audit logs.

The impact

  • The company's own engineering and product teams are now building internal AI agents and applications on top of the MisaLabs layer using reusable components, new capabilities ship in weeks, not months.
  • They moved from chasing AI sprawl to controlling it entirely, with full cost attribution, a single governance framework, and an expanding internal AI capability built on a foundation they own.

Frequently asked questions

Yes. MisaCores are designed to be modular and extensible, allowing your team to adapt workflows, integrations, and business logic to fit your environment and operating model. Core platform updates and supported components continue to evolve through the standard product roadmap, while any customer-specific extensions or customizations remain under your team's control.
Updates are made available periodically as the platform evolves, and your team controls when and if they are applied. Existing deployments continue running unchanged until you choose to adopt an update, allowing upgrades to be tested and scheduled around your operational requirements.
No. MisaCores are designed to run within your environment and integrate into your existing operations. We continue to support and improve the platform over time, but your team retains operational control and flexibility as your requirements evolve.

Your AI infrastructure
starts here.

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Modular, scalable AI building blocks to accelerate your transformation.

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