Production-ready AI and machine learning systems that deliver measurable business value
GenAI applications deployed against real customer and operational use cases
Scalable MLOps and data infrastructure that supports long-term growth and reliability
Applied AI and Machine Learning That Ships
York IE brings together data scientists, ML engineers, and domain experts to build systems that actually run in production — with the operational rigor to keep them performing over time.
Custom Model Development
We scope, train, and validate machine learning models tailored to your specific data and business problem — whether that’s churn prediction, demand forecasting, anomaly detection, or something more novel.
MLOps & Model Operations
We build the infrastructure to deploy, monitor, retrain, and govern models in production — so performance doesn’t degrade and your team isn’t flying blind.
Data Engineering & Analytics
We build the data infrastructure, pipelines, and analytical capabilities required to power reliable AI systems — transforming fragmented data into insights, predictions, and business decisions.
GenAI Application Development
We design and build production GenAI applications — RAG systems, document intelligence tools, AI assistants — grounded in your proprietary data and connected to your existing systems.
Agentic Development
We use autonomous AI agents to accelerate the software development lifecycle — from planning and architecture through code generation, testing, refactoring, and optimization.
AI Strategy, Discovery & Validation
We identify and validate high-impact AI opportunities through structured discovery, technical assessment, and real-world testing — ensuring investments are focused on use cases that deliver measurable business value.
Turn Data and AI Into Measurable
Business Impact
AI creates value when it improves decisions, automates workflows, and delivers measurable outcomes across the business.
Smarter, Faster Decision-Making
Transform customer, product, and operational data into actionable insights that help teams prioritize investments, identify opportunities, and reduce guesswork.
Increased Revenue and Retention
Apply predictive analytics and AI-driven insights to improve customer acquisition, expansion, retention, and lifetime value.
Faster Time From Insight to Action
Automated data pipelines and AI-powered workflows reduce the delay between identifying a trend and acting on it, helping teams move with greater speed and confidence.
Reliable AI at Scale
Build the governance, monitoring, and operational infrastructure needed to keep AI systems accurate, trusted, and aligned with business objectives over time.
Built on the Toolchain That Powers Production ML
York IE operators work across the full ML and data science stack — from agentic development and model training frameworks to cloud ML platforms and orchestration tools.
AI
Tech
Domain Expertise
Machine Learning and GenAI in Production — Building Patriot Pay’s Intelligent Billing Platform
Patriot Pay needed a machine learning model to predict which patients were most likely to pay and tailor outreach accordingly. York IE built the “Predict to Pay” model using demographic signals and cohort payment histories, integrated it into the platform, and layered in generative AI billing agents that give patients 24/7 plain-language explanations of their bills. As more transactions flow through the system, the model retrains continuously to improve collection timelines.
Read full case studyTime from planning to MVP
Time to breakeven
Increase in Monthly Patient Payments
York IE helped us embed AI into the heart of our platform. From classical machine learning models that predict a patient’s likelihood to pay, to generative AI agents that explain bills in plain language, they’ve turned our subject matter expertise into practical technology that delivers real results.
Matthew Kaplan
CEO & Founder, Patriot Pay1,000+ engagements with technology companies
Embedded Operators. Real Execution.
York IE doesn’t hand you a deck and disappear. We embed experienced operators alongside your team to get
the actual work done.
Assess
We start by understanding your goals, current systems, team gaps, and growth context — no assumptions.
- Goals & constraints review
- Current state audit
- Gap & opportunity mapping
Build & Execute
Data scientists and ML engineers embed in your team to run discovery sprints, build and validate models, and ship production systems against a defined delivery plan.
- Operator embedded in your workflow
- Execution against defined plan
- Weekly progress reporting
Optimize
We measure what’s working, iterate on what’s not, and continuously improve performance over time.
- KPI tracking & review cadence
- Roadmap iteration
- Scale or expand scope
Explore More R&D Capabilities
Strong AI and ML work depends on the right data infrastructure and engineering foundation underneath it.
AI Transformation
Translate ML capabilities into enterprise-wide AI strategy and production deployment programs.
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BI & Data Engineering
Build the pipelines and warehouses that feed reliable data into your models and dashboards.
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Full Lifecycle Software Development
Integrate ML outputs into your product with full-stack engineering support.
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DevOps
Deploy model inference infrastructure with the security, scalability, and observability it needs.
ExploreTurn Data and AI Into Competitive Advantage
York IE combines data engineering, machine learning, and GenAI expertise to help software companies build production-ready AI systems that drive smarter decisions, automation, and growth.
Talk to the Team Explore R&D Capabilities