Save $40k annually with York IE’s new GTM automation engine. Learn how

Fuel Login Contact Us
Capabilities

Every R&D capability, under one roof

Each capability is available standalone or as part of an embedded, cross-functional product squad.

AI Transformation

AI Transformation

End-to-end AI strategy, adoption, and implementation embedded into your product and workflows
Full Lifecycle Software Development

Full Lifecycle Software Development

MVP builds, feature delivery, modernization, and integrations with full-stack engineering support
Product Strategy

Product Strategy

Roadmap planning, architecture guidance, product-market alignment, and technical leadership
QA Engineering & Automation

QA Engineering & Automation

Automated test suites, release process design, and quality frameworks that reduce bugs and downtime
BI & Data Engineering

BI & Data Engineering

Data lakes, ETL pipelines, analytics dashboards, and business intelligence infrastructure
AI, ML & Data Science

AI, ML & Data Science

Custom ML models, LLMs, RAG pipelines, NLP, and Generative AI features built for production
Mobile Apps

Mobile Apps

Native and hybrid iOS & Android applications, React Native, and cross-platform development
UX Design

UX Design

Research, wireframing, prototyping, and high-fidelity design across web, mobile, and hybrid environments
DevOps

DevOps

CI/CD pipelines, cloud infrastructure, serverless architecture, and infrastructure-as-code
Tech Due Diligence

Tech Due Diligence

Pre-acquisition technical assessment, architecture review, code quality analysis, and risk reporting
AI + Technology Layer

We build with AI. We can build it into your product too.

York IE engineers use AI across every engagement to accelerate delivery and maintain quality.

Learn More
AI in every engagement

Architecture, code review, testing, and delivery — every engineer uses AI to move faster and ship higher-quality work from day one.

AI features built into your product

We design and develop AI capabilities — chatbots, RAG pipelines, ML models, and GenAI features — that differentiate your product and drive customer retention.

Built on a modern engineering stack

Our delivery model combines proven engineering playbooks, leading cloud platforms, and AI tooling — giving every engagement a velocity advantage from day one.

Tech Stack

We work in the tools your team already uses

York IE engineers are experienced across the leading platforms and frameworks — no ramp time,
no rip-and-replace.

Angular
Angular
Next.js
Next.js
JavaScript
JavaScript
TypeScript
TypeScript
React / React Native
React / React Native
PHP / Laravel
PHP / Laravel
.NET
.NET
Node.js
Node.js
Python
Python
Ruby on Rails
Ruby on Rails
AWS
AWS
Azure
Azure
Google Cloud
Google Cloud
AWS Bedrock
AWS Bedrock
OpenAI / LLMs
OpenAI / LLMs
Lovable
Lovable
Claude
Claude
Cursor
Cursor
Figma
Figma
GitHub
GitHub
Docker
Docker

Don’t see your stack? Ask us about your setup.

The Challenge

The R&D friction points we hear every day

Before companies bring in York IE, they’re usually running into one or more of these. The same patterns, compounding the longer they go unaddressed.

Challenge
01

Stalled product roadmap

Features are prioritized but never shipped. The backlog grows faster than velocity can clear it, and customer commitments get pushed quarter after quarter.

Challenge
02

Over-reliance on a few key engineers

When two or three people hold all institutional knowledge, every vacation or departure creates a delivery crisis. Knowledge silos kill velocity.

Challenge
03

Offshore experiments that didn’t work

Previous offshore engagements burned the team — quality gaps, communication breakdowns, and contractors who didn’t understand the product context.

Challenge
04

Hiring full-time engineers is too slow

The market is competitive, ramp time is long, and the company isn’t ready to commit to permanent headcount. Meanwhile, the roadmap keeps slipping.

Challenge
05

AI strategy is undefined

Customers and investors are asking about AI. The team has ideas but no clear plan — no POC, no prioritization, and no one who can own the technical execution.

Challenge
06

Post-M&A tech stack is a mess

Acquisitions left behind fragmented codebases, duplicate infrastructure, and integration debt. No one owns the consolidation plan and costs keep climbing.

Challenge
07

Inconsistent product quality

Bugs reach production, QA is reactive rather than systematic, and release cycles feel unpredictable — eroding customer trust and increasing support burden.

Challenge
08

No visibility into what’s slowing delivery

Engineering runs sprints but leadership can’t tell what’s on track, what’s blocked, or why velocity varies. Without clear reporting, decisions are based on gut feel.

Challenge
09

Legacy architecture limits growth

The platform was built for a different scale. Every new feature takes longer than it should, and technical debt is becoming a competitive liability.

R&D in Action

Real results from embedded R&D work

Contract Safe logo
Roadmap Execution & Revenue Growth

York IE embedded into ContractSafe’s existing R&D workflows, delivered 83% of their planned roadmap on time and at quality and enabled scale without adding permanent headcount.

Read full case study

83%

of roadmap delivered

13%

above industry average

“Having additional execution support gave us confidence. We could keep moving without stretching the team too thin or taking on unnecessary risk.”

— Randy Bishop, President · ContractSafe

Patriot Pay logo
MVP Development & AI Implementation

York IE launched Patriot Pay’s MVP and technical strategy, developed a Gen AI billing solution, and continued scaling the platform – concept to breakeven in under 18 months.

Read full case study

6

months to MVP

7

months to revenue

16

months to breakeven

“York IE helped us embed AI into the heart of our platform. They’ve turned advanced technology into practical tools that deliver real results.”

— Matthew Kaplan, Founder & CEO · Patriot Pay

broadlume
Strategic Engineering & Platform Modernization

York IE became an integrated extension of Cyncly’s engineering team – supporting M&A tech stack consolidation, advancing the core platform and unlocking major cost and velocity gains.

Read full case study

15%

R&D cost reduction

30%

faster ramp-up

80%

cloud consolidation

“The York IE hybrid approach has been a game changer. We are better able to support our existing platform and meet customer needs, while also moving through our new R&D pipeline faster.”

— Sean Bave, President & COO · Cyncly (Broadlume)

Apparel Impact
Platform Development & Team Integration

York IE partnered with Apparel Impact to accelerate platform development and deliver key features.

Read full case study

“The meetings with the India team were especially valuable — they brought a level of insight, dedication, and enthusiasm that made a real impact on our business. It truly felt like they were an extension of our own team.”

— Joe Whitten, Founder · Apparel Impact

Coordle
MVP Transformation

York IE helped redesign and rebuild Coordle’s product into an intuitive, feature-rich mobile app and web platform, successfully bringing it to market.

Read full case study

"York IE has also helped us pivot and iterate. We were a B2C group travel app, and now we’re a B2B platform that allows groups to move effectively and effortlessly."

— Dr. Jen Fry, Founder & CEO · Coordle

Engagement Models

Structured to fit how you work and how you grow

York IE R&D engagements are designed to meet you at your current stage — from a focused tech assessment or short-term project to a long-term embedded product squad with flexible burst capacity.

Assessment assesment
Tech Due Diligence

A structured assessment of your architecture, codebase, team, and delivery processes — delivered with a prioritized findings report and action plan.

  • Fixed scope & timeline
  • Deliverable-based output
  • 2–4 week turnaround
Project project
Project-Based Engagement

Defined deliverables, clear milestones, and a fixed engagement window. Ideal for MVP builds, Gen AI POCs, UX overhauls, mobile apps, or integration sprints.

  • Milestone-driven delivery
  • Fixed scope & budget
  • Single or multi-capability
Subscription subscription
Embedded Subscription

An ongoing embedded R&D relationship — your dedicated York IE product squad joins your stand-ups, sprint planning, and retrospectives and owns specific delivery outcomes month over month.

  • Continuous embedded execution
  • Bi-weekly sprint iterations
  • Scales up or down as needed
  • Most common R&D model
Burst burst
Capacity Bursts

Subscription clients can dial capacity up or down for product launches, fundraising windows, post-M&A sprints, or aggressive roadmap acceleration — no re-contracting required.

  • On-demand capacity scaling
  • Add capabilities or headcount fast
  • No re-contracting required
  • Built into subscription terms
Onshore + Offshore Synergy

U.S.-based strategy. Global engineering velocity.

York IE’s hybrid model pairs onshore product leadership with a world-class engineering team in India — giving you the strategic oversight
and product fluency of a U.S.-based consultancy and the cost efficiency and scale of a distributed specialist bench. Engineers are full-
time York IE employees, not contractors.

leadership

Onshore Product Leadership

U.S.-based product strategists own direction, client communication, and accountability. You always have a named operator responsible for outcomes.

global

Global Engineering Team

Full-time York IE engineers in Ahmedabad, India handle feature delivery, testing, and execution — operating under the same standards, tools, and playbooks as the U.S. team.

The Team

The R&D operators you’ll actually work with

York IE’s R&D team brings together experienced product strategists, engineers, and AI specialists — embedded inside your business from day one.

Mike Veilleux
Mike Veilleux

Managing Director

SaaS, cloud architecture & data

Evan York
Evan York

VP of Advisory, R&D

SaaS, marketing & education technology

Kalrav Parsana
Kalrav Parsana

Vice President, India Operations

Engineering leadership & delivery

Chris Gonyea
Chris Gonyea

Senior Product Strategist

SaaS, network & internet performance

Joseph Small
Joseph Small

Senior AI & Data Strategist

Data science, AI & machine learning

Todd Dyer
Todd Dyer

Senior Product Strategist

SaaS, Cloud Ops & infrastructure

Irfan Harun
Irfan Harun

Director, R&D Advisory, Engineering & QA

AI-first software development, AI-native organizations

Ishita Agarwal
Ishita Agarwal

Director, R&D Advisory, Product & UX

Product management, UX, UI

prev
next
York IE vs. The Alternatives

Most companies are choosing between
three imperfect options.
York IE is the fourth.

Before engaging York IE, most companies are stuck choosing between slow internal hiring, expensive dev shops, or offshore teams that lack strategic alignment. Each comes with trade-offs that compound over time.

Feature York IE Hire In-House Dev Shop Pure Offshore
Onshore product leadership Varies Rarely
Strategy + execution Execution only
Operational from day one 2–4 weeks 3–6 months 4–8 weeks 4–8 weeks
Cost vs. US-only team 70% lower Highest Variable Low
Scales with demand Bursts Limited Limited
AI-augmented delivery Varies Rarely
The Full Platform

R&D works better when GTM and G&A are aligned

Product velocity compounds when go-to-market execution and financial infrastructure are pulling in the same direction. York IE is the only operating partner that coordinates all three under one roof.

Explore the Operating Platform
Go-To-Market

Go-To-Market

Sell what you build — faster and more efficiently

Learn More
Finance & Operations

Finance & Operations

Operate with rigor — so growth is sustainable

Learn More
FAQ

Common questions about R&D engagements

Don’t see your question? Ask us about your setup.

How quickly can York IE become operational?

Most R&D engagements are fully operational within 2–4 weeks. Onboarding covers tool access, codebase orientation, and alignment on roadmap priorities.

How do you ensure quality with an offshore team?

Our model is intentionally hybrid: product strategy and leadership onshore, development execution offshore. India engineers are full-time York IE employees — not contractors — operating under the same standards and delivery model as our U.S. team.

Do you work within our existing tools and processes?

Yes. York IE works within your existing stack and workflows wherever possible. We don’t mandate a specific stack.

Who owns the IP?

You own 100% of the IP. All work is done under strict contractual agreements. We align to your compliance requirements including SOC 2, GDPR, and HIPAA.

What engagement structures are available?

Tech Due Diligence assessment, a fixed-scope project, or an ongoing embedded subscription. Subscription clients can activate Burst capacity without re-contracting.

Can we start with one capability and expand?

Absolutely. Many engagements start with a single capability and expand as results compound. York IE is designed to grow with your business.

Check out more R&D resources and templates

  • June 2, 2026
Most Companies Are Buying AI Tools Wrong. Here's How to Fix That.
Most Companies Are Buying AI Tools Wrong. Here’s How to Fix That.

“What are the best AI tools?” is the wrong question. Here’s the framework investors at General Atlantic and Level Equity use to evaluate, test and de-risk AI investments.
  • April 23, 2026
The AI Mistake Every Growth-Stage Company Is Making
The AI Mistake Every Growth-Stage Company Is Making

The right AI strategy depends on where your company is, not where you want to be. Here’s how growth-stage companies are getting it right.
  • December 18, 2025
5 Things Engineering Leaders Should Think About in 2026
5 Things Engineering Leaders Should Think About in 2026

What engineering leaders must prioritize in 2026: AI as leverage, platform thinking, strategic outsourcing, operational excellence, and translating tech into business impact.

Let’s accelerate
your product roadmap together.

Talk to a York IE R&D operator about what embedded support would look like.

Get Started
York IE