AI Transformation

Turn AI into measurable business outcomes - from identifying high-value opportunities to deploying, improving, and assuring production systems.

Stanford UniversityProspera16z · YCMicrosoftBain & CompanyY Combinator

Our Offerings

Identify Where AI CanCreate the Most Value

Understand how work gets done today and identify where AI can improve cost, speed, quality, and scalability across the business.

Opportunity Assessment

Identify and prioritize high-value AI opportunities based on business impact, feasibility, implementation effort, and expected return on investment.

Workflow Diagnostics

Map processes, systems, data, and outsourced services to uncover where AI, automation, or redesign can materially improve performance.

Transformation Roadmap

Define what to build, buy, automate, augment, or transform, with a clear roadmap from initial pilots to scaled deployment.

Powered By

Forward Deployed /
AI-ML Engineers

Deep technical talent embedded close to your workflows - bringing the AI, engineering, and domain expertise required to take deployments from idea to production.

OXYZ / ENGINEERING 01
Amin

Amin

AI Engineer

EXPERIENCE

Ex-Google, OpenAI

CORE EXPERTISE
LLMsRAGAgents

Builds LLM applications, retrieval systems, and AI agents that connect business knowledge to everyday workflows.

Available for deployment
OXYZ / ENGINEERING 02
Sofia

Sofia

Full-Stack Engineer

EXPERIENCE

Ex-Facebook, Anthropic

CORE EXPERTISE
ReactNext.jsTypeScript

Develops full-stack applications and intuitive interfaces that bring AI capabilities into the tools teams use every day.

Available for deployment
OXYZ / ENGINEERING 03
Noah

Noah

ML Engineer

EXPERIENCE

Ex-DeepMind, Cohere

CORE EXPERTISE
PyTorchFine-TuningMLOps

Works on model fine-tuning, evaluation, and ML deployment to improve the performance and reliability of production systems.

Available for deployment
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Talent Pipeline

Google
Microsoft
Meta
Apple
Amazon
Bain & Company
McKinsey & Company
Cambridge
01

Outcomes in Days, Not Months

Move from opportunity to working deployment quickly with AI-native teams built to execute without traditional consulting timelines.

02

Flexible Engagement, Built Around You

Start with a focused project, embed alongside your team, or scale into an end-to-end deployment as your needs evolve.

03

One Team, Accountable for the Outcome

Strategy, engineering, evaluation, and domain expertise come together under one partner responsible for getting the work done.

Applied AI, measurable impact

Case Studies

OXYZ / CASE STUDY 01

Healthcare - Revenue Cycle Operations

$2.4M

Additional annual revenue recovered

Oxyzen redesigned claims and denial workflows using AI agents to prioritize recoverable cases, prepare appeals, and route exceptions to specialists - increasing collections while reducing manual effort.

OXYZ / CASE STUDY 02

Private Equity - Investment Due Diligence

45%

Faster diligence turnaround

Oxyzen built an AI diligence workflow to analyze company data, financials, markets, and research - helping deal teams evaluate opportunities faster and increase coverage.

OXYZ / CASE STUDY 03

Legal - Contract Review

60%

Reduction in first-pass review time

Oxyzen deployed AI to extract key clauses, compare contracts against playbooks, flag risks, and escalate exceptions - accelerating review while keeping lawyers in control.

OXYZ / CASE STUDY 04

Retail & CPG - Inventory Planning

$3.8M

Working-capital opportunity identified

Oxyzen connected sales, inventory, and supply data to identify stockout and overstock risks, automate analysis, and recommend actions across products and locations.

OXYZ / CASE STUDY 05

Insurance - Claims Processing

42%

Reduction in claims handling time

Oxyzen automated document intake, policy checks, classification, and routine claims workflows while routing complex cases to adjusters - improving speed without sacrificing oversight.

Testimonials

The execution partner founders actually want.

Shipped a critical AI product in weeks, not months.
“Oxyzen gave us access to the caliber of people we wanted to hire permanently, without waiting months to find them. The team embedded quickly and started delivering from day one.”

— Founder, AI Startup

Ready when you are

Build Custom LLMs

Build your core team. Flex everything else.

Launch Project