Oracle · AI Talent · Staffing · Managed

We build, staff, and operate enterprise technology.

Oracle services, AI execution talent, technology staffing, and managed operations for FORTUNE, mid-market and startup clients.

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Review our capabilities

Twenty-one years inside enterprise systems. Founded 2005, same owners.

TRUSTED BY TALENT TEAMS AT

A selection of the 40+ FORTUNE, SMB & startup clients WinMax has served since 2005.

TECHNOLOGY PARTNERS

Oracle

Partner

Microsoft

Partner

Databricks

Partner

WHY THE COMBINATION MATTERS

From the system you own to the one that runs.

Most firms selling AI services started in 2023. We have been inside enterprise systems since 2005. That is why we know where AI breaks: in the workflow, in the data, and at the close.

TODAY

What you already own

An Oracle estate
An AI initiative
Roles you cannot fill
A system nobody owns

RISK

Where it stalls

The close slips
The pilot never ships
The wrong hire
No named owner

WINMAX

Operators who have run it

Oracle Services
AI Talent
Staffing
Managed Services

OUTCOME

Running in production

A close that reconciles
Workflows in daily use
Seats filled
Somebody on the hook

Left to right: what you own today, where it stalls, the operators we put on it, and what running looks like. The engineer screening your candidates has run the system you’re hiring for — that is the only reason the third step works.

WHAT WE DO

Four practices. The same operators behind each one.

Clients typically start in one and expand into the others. Whichever door you come through, the people delivering have run these systems in production.

Where most engagements start

Oracle Services

Reconciliation, Fusion Financials, OCI, integration, reporting, and managed operations inside your Oracle estate.

Finance integrity & reconciliationFusion Financials

OCI & cloudIntegration (OIC, APIs)

Application managed services

First step: one month of AR and remittance data. We return what is unmatched and what is recoverable.

Oracle Services

AI Talent

Engineers who move an AI initiative past the demo. Onshore, working alongside your business team.

Forward Deployed EngineersAI / LLM engineers

Data engineersMLOps & LLMOps

Fractional AI leadership

First step: a talent gap assessment. Which role has to come first.

AI Talent

Staffing

Engineers, consultants, and executives, on whatever employment basis fits. Screened by engineers rather than by keyword search.

ContractContract-to-hireDirect placement

Executive searchPayrolling

First step: one open requisition. Three candidates, with our reservations on each.

Staffing

Managed Services

Teams that deliver to a date, and systems we operate under SLA with a named lead who stays on the account.

Managed delivery podsFixed-scope projects

Application managed servicesFractional technical lead

First step: tell us which system nobody has owned since the project closed.

Managed Services

THE STACK

The systems our people have shipped and operated

ERP & FINANCIALS

Oracle Fusion Financials

JD Edwards

Oracle EBS / Oracle DB

EPM & Hyperion

CLOUD & PLATFORM

OCI

Azure, AWS, Google Cloud

DevOps & SRE

Kubernetes

DATA & ANALYTICS

Spark & Databricks pipelines

Analytics engineering (dbt)

Power BI & Tableau

Data governance

AI & APPLIED ML

Forward deployment

LLM & agent systems

MLOps / LLMOps

Cost & usage control

PRODUCT ENGINEERING

Oracle Fusion Financials

JD Edwards

Oracle EBS / Oracle DB

EPM & Hyperion

REVENUE SYSTEMS

Salesforce & CPQ

Marketing automation

RevOps

Martech integration

HOW YOU ENGAGE

One decision: who runs it

Every practice above comes in these three shapes. Clients move between them without a new contract or a second procurement cycle.

YOU RUN IT

People on your team

Our engineers, working to your priorities, in your standup.

Right when: the work is ongoing and the domain knowledge has to live in-house.

WE RUN IT

A team that delivers

A pod with our own lead, working to an outcome you define. You do not spend a manager on it.

Right when: there is a deadline and you would rather buy the outcome than the hours.

WE OWN IT

The function itself

We operate the system under SLA, including escalation and on-call.

Right when: the project closed and nobody owns it now.

WHY WINMAX

Fast to start, clean under audit, inside the Oracle stack

Three things decide whether an enterprise engagement actually starts on time: how fast we clear procurement, whether the output survives review, and whether we already know the platform.

Rapid implementation

Approved supplier on six VMS platforms, so a requisition gets worked the day it opens instead of six weeks after vendor onboarding. An Oracle diagnostic needs one data pull and no IT project.

Compliance

You send extracts. Nobody gets access to your system, and anonymised data is fine. Every figure we hand back traces to the line behind it, so your controller and your auditor follow the same path.

Oracle partnership

Oracle partner, and twenty-one years inside Fusion Financials, JD Edwards, Oracle DB and OCI. We deploy Oracle AI where it lands on the close.

21 years

Founded 2005. Same owners.

40+

FORTUNE, SMB and startup clients

6

VMS platforms, approved supplier

1M+

Billable hours delivered

WHAT ARRIVES

Two of our deliverables. Judge us on these.

Every figure opens to the lines behind it. Every submission names the reservation. Both are what a first engagement actually produces.

Finance Integrity Diagnostic

Illustrative

Cash unmatched to an invoice

$24.8M

Deductions taken, never coded

$6.4M

Assessed recoverable

$14.2M

One month of AR and remittance data in. This document back.

Oracle Services

Submission — Senior Data Engineer

Illustrative

Candidate A· 8 yrs, Databricks + ADF

2 weeks

Built the same ingestion pattern at similar volume. In the technical he caught two bugs the agent introduced and explained why.

Our reservation: never worked under audit. If your compliance load is heavy, expect a ramp.

Three people, not forty profiles. Each one with the reason we might be wrong.

Staffing

THE PEOPLE

The same operators, whichever door you came in through.

Engineers, controllers and delivery leads who have run these systems in production. There is no coordinator layer between you and them.

An operator in the room where the workflow gets decided.

The close, worked line by line rather than in aggregate.

An operator in the room where the workflow gets decided.

WHAT CLIENTS SAY

Twenty-one years of it.

“

WinMax knew that I needed an entire team in less than a month, and was able to provide several amazing resources in only a couple of weeks.

VP Engineering

“

My experience across multiple client engagements has been consistently outstanding over the past decade I have worked with WinMax.

Balchander Rajaram

Program Manager

“

They truly take the time to understand our needs, culture, and expectations. They work with us, not just for us.

Director of Business Analytics

HOW IT STARTS

No deck. No pipeline call.

Find the one you need first.

Workflow compliance

We work inside your VMS, your timesheet system, and your onboarding and offboarding steps. Certificates of insurance on file and ready to submit.

Somebody who has done the work reads it

Not a coordinator, and not a form that routes to a pipeline sequence.

You get a recommendation, a shape, and a date

Including "leave it alone for now" when that is the honest answer.

Tell us where it is stuck

A reconciliation that will not close, an AI initiative that stalled, a role you cannot fill, or a system nobody owns. A person replies with a recommendation and a date.

830 Hillview Ct, Milpitas CA · (408) 894-9000

We build, staff, and operate enterprise technology.

Oracle services, AI execution talent, technology staffing, and managed operations for FORTUNE, mid-market and startup clients.

TRUSTED BY TALENT TEAMS AT

TECHNOLOGY PARTNERS

Oracle

Microsoft

Databricks

WHY THE COMBINATION MATTERS

From the system you own to the one that runs.

Most firms selling AI services started in 2023. We have been inside enterprise systems since 2005. That is why we know where AI breaks: in the workflow, in the data, and at the close.

What you already own

Where it stalls

Operators who have run it

Running in production

Left to right: what you own today, where it stalls, the operators we put on it, and what running looks like. The engineer screening your candidates has run the system you’re hiring for — that is the only reason the third step works.

WHAT WE DO

Four practices. The same operators behind each one.

Clients typically start in one and expand into the others. Whichever door you come through, the people delivering have run these systems in production.

Oracle Services

Oracle Services

AI Talent

AI Talent

Staffing

Staffing

Managed Services

Managed Services

THE STACK

The systems our people have shipped and operated

HOW YOU ENGAGE

One decision: who runs it

Every practice above comes in these three shapes. Clients move between them without a new contract or a second procurement cycle.

People on your team

A team that delivers

The function itself

WHY WINMAX

Fast to start, clean under audit, inside the Oracle stack

Three things decide whether an enterprise engagement actually starts on time: how fast we clear procurement, whether the output survives review, and whether we already know the platform.

Rapid implementation

Compliance

Oracle partnership

21 years

40+

6

1M+

WHAT ARRIVES

Two of our deliverables. Judge us on these.

Every figure opens to the lines behind it. Every submission names the reservation. Both are what a first engagement actually produces.

Finance Integrity Diagnostic

$24.8M

$6.4M

$14.2M

Submission — Senior Data Engineer

THE PEOPLE

The same operators, whichever door you came in through.

Engineers, controllers and delivery leads who have run these systems in production. There is no coordinator layer between you and them.

WHAT CLIENTS SAY

Twenty-one years of it.

Balchander Rajaram

HOW IT STARTS

No deck. No pipeline call.

Find the one you need first.

Workflow compliance

Somebody who has done the work reads it

You get a recommendation, a shape, and a date

Tell us where it is stuck

A reconciliation that will not close, an AI initiative that stalled, a role you cannot fill, or a system nobody owns. A person replies with a recommendation and a date.

What's Next

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