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AI transformation.

Deploy AI software infrastructure inside your business

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Customers and Partners

What we keep hearing.
And what we do about it.

We are an AI solutions infrastructure company focused on complex problems off-the-shelf tools can't solve. Our engineers come from AWS, Dell, Intel, and Nvidia.

What we hear
MisaLabs

MisaLabs builds custom AI
inside your environment.

We work with organizations at different stages and with different needs. Three paths in, all leading to AI that runs inside your business, not ours.

Path A
Platform

"We have engineers. We need tools right now."

Learn more Request a demo
Path B
Implementation

"We have a specific use case. We need it built."

Learn more Discuss your use case
Path C
Transformation

"We know AI matters. We don't know where to start."

Learn more Book a discovery session

Here's what our platform delivered.

DEPLOY
DATA SOURCES
UNIFIED DATA
AI MODELS
MODEL LIBRARY
TUNABLE MODELS
PRE-BUILT MODELS
ENDPOINTS
INTERFACES
API ACCESS
CONNECTORS
INTEGRATIONS

Here's what our platform delivered.

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.

What people ask before getting started.

Consultancies charge upfront, deliver once, and leave. MisaLabs operates on a monthly subscription, we build, deploy, and maintain the system. If it's not delivering within six months, you cancel. Our incentive to keep earning depends on it continuing to work.
No. Everything runs inside your infrastructure, your servers, your cloud, or hybrid. Nothing is transmitted to an external AI provider. That's how we've built every deployment we've shipped.
Most deployments reach production in weeks, not quarters. Pre-built, field-tested components eliminate the foundational infrastructure work an internal team would otherwise need months to complete before writing a single line of business logic.
No. If you have engineers, they retain full control and we handle the infrastructure. If you don't, we become your external delivery team, we build it, deploy it, and keep it running.
Nothing. It's a complimentary four-session engagement. You leave with a prioritized roadmap of your highest-value use cases, whether you work with us afterward or not.
No. We work with pre-trained and open-source models and tune them to your specific data and use case. We can help you identify the right model for your use case, training from scratch generally doesn't make sense for Enterprise use cases and can be costly. What matters is that the right model runs reliably inside your environment on your data.
Currently financial services, healthcare, and research. Manufacturing, retail, and e-commerce are in active development. If your sector isn't listed, reach out, the underlying infrastructure problems we solve recur across most regulated, data-sensitive industries.

Your AI infrastructure
starts here.

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Modular, scalable AI building blocks to accelerate your transformation.

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