Commercialize Your Prototype

AI Model Integration 

Your model works. Now make it a product you can deliver to customers or scale internally across your organization. We turn prototypes into production-scale models that meet regulatory compliance standards.

Work With Us
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The Problem

A working prototype is difficult to scale.

Your model performs well in the lab. It answers the right questions. The science is sound. But it lives in a Jupyter notebook, depends on the researcher who built it to run, and has no version control, no monitoring, no validation evidence, and no clear path to becoming something your organization can rely on or deliver to customers.

That is a software, data, and infrastructure problem, and it's one we solve for laboratory and biohealth organizations.
What We Build for You

We turn your proven model into production software built for regulated environments 

AI Model Integration is a custom engagement that takes your existing model and gives it the engineering foundation it needs to become a real product: deployed, supported, maintainable, and built to regulatory expectations from the start. 
Model Moves Out of The Notebook

Research code gets refactored as proper, versioned software that can be tested, maintained and expanded upon as a commercial product or company-wide tool.

Deploy It At Scale

We host the model in a secure environment so it can serve users, instruments, and workloads reliably. 

 Validation for Model Drift

Monitor model performance against new data over time, and the training and deployment infrastructure makes iteration seamless rather than disruptive. 

Streamlined Model Training

A structured feedback loop lets your domain experts review outputs, correct mistakes, and feed those corrections back in, so the model keeps improving. 

Regulatory Documentation

Training data, model versions, performance evidence, and change history are captured as you go, to streamline audits, submissions, and inspections. 

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Why It Matters to You 

We'll deliver what your organization doesn't have today
Faster time to market

Our structured process moves your existing model into a deployed, supported system. Once that foundation is in place, improvements can be made quickly to adjust performance.

Built for regulated environments

Our extensive experience in biohealth informs our data integrity practices, software update processes, and model performance validation, which streamlines the regulatory audits. Because we build models modularly, there's also no need to revalidate the entire model with regulators when software updates occur.

Developed for wider use

We'll outfit your model deliverables with training pipelines and deployment automation built in. If a key person at your organization moves on, the work can continue without delays. The model becomes an organizational asset instead of one person's responsibility.

A model that improves over time

A production-ready AI tool is not a static deliverable. We build for the reality that models need to be maintained, retrained, and updated, so yours stays accurate and useful as your data and business evolves. 

AI Model Integration Client Success Story

Client Success Story

Turning a Jupyter Notebook Model into a Licensable Commercial Product 

Yahara Software transformed SentrySciences' bench-tested machine learning model — used to characterize subvisible particles in biologic drug products — from research code in Jupyter notebooks into a fully deployable, licensable commercial software product. 

Which scenarios fit your organization?  

These four entry points are when organizations typically need an AI expert to help continue the project forward. Often, the needs of the model and your organization are a blend of these situations. 
Research Model to Commercial Product_AI Model Integration
Research Model to Commercial Product

You have customer interest, investor pressure, or both, but the model lives in a notebook and can’t be delivered as something you sell, support, and scale. We build the production system around your existing model so it becomes a commercially-viable product.

 

Notebook Prototype to Company-Wide Tool_AI Model Integration
Notebook Prototype to Company-Wide Tool

An internal team built a model that works for their own analysis but isn’t running in any workflow your organization depends on. We move it from notebook to deployed, monitored production so it generates value continuously, not just when its creator runs it.

 

Adding Rigor to An Aging Deployed Model_AI Model Integration
Adding Rigor to An Aging Deployed Model

A model is in production but lacks the engineering practices that make it safe to maintain. There's no version control, no monitoring, no validation evidence. Regulators are asking harder questions, the original developer has moved on, and updates are getting riskier. We add the foundation that lets the model keep evolving.

FDA-Track Model Preparation_AI Model Integration
FDA-Track Model Preparation

A research model is being repositioned as a regulated medical device or a feature of a regulated product. The path requires validation documentation, change control under PCCP guidance, audit trails, and explainability evidence. We add the regulatory-grade foundation needed to enter the submission process credibly.

How We'll Work With You

The implementation is custom to your model and your environment. The process we use is streamlined, so you get faster delivery without cutting corners.

Start

Pre-Work

1–2 Weeks

We assess your model, your data, your environment, and your goals. You get a clear-eyed picture of what it takes to productize your specific model and a scoped plan for getting there. 

Productization Pilot

6–12 Weeks

We refactor the model as proper software, establish version control and reproducible training, and build the initial deployment. You'll begin to see a working, maintainable system.

Productization Pilot

Production Build

10–16 Weeks

We productize the full application — monitoring, feedback loops, documentation, and deployment automation — into something your team can deliver, support, and scale. 

End

Delivery

Your team can take the model from there or we can continue working together for model refinement and ongoing support.

Add Ons

Regulated-Use Configuration

 For models that need regulatory approval, we add the validation documentation, change control processes, audit trails, and explainability evidence needed to enter the submission process credibly. Overlaps with Phase 2. 

Operate & Refine

 Retainer-based ongoing support for monitoring, retraining, model updates, and capability expansion as your science advances and your needs evolve. 

Two Scientists Sitting at a Desk Smiling with Microscope in Front of Them
 

Frequently Asked Questions: