Who We Are and What Drives Us

We started neuronstreamwise in 2019 because forecasting felt broken. Too many companies relied on spreadsheets that couldn't keep up with actual business changes. We wanted to build something different—tools that adapt as your business evolves, not static models that become outdated within weeks.

From Frustration to Foundation

Before launching neuronstreamwise, we spent years working with businesses across South Korea—small manufacturing firms, growing retail chains, tech startups trying to scale. The same problem kept surfacing: their budgeting processes couldn't handle real-world complexity.

One client told us they'd spend three weeks building a quarterly forecast, only to have market conditions shift two days after presentation. That conversation stuck with us. Why were we treating forecasts like static documents instead of living guides?

So we built something that responds to change. Our approach focuses on scenario modeling—helping teams prepare for multiple futures instead of betting everything on one prediction. It's not about being perfect. It's about being ready.

Financial planning workspace with charts and analysis tools

How We Actually Work With Clients

We don't follow a rigid framework. Every business has different needs, different pressures. But our process usually moves through these phases—adapted based on what you're dealing with.

1

Understanding Your Current State

We start by looking at what you're already doing. What data do you track? Where are the gaps? What keeps leadership up at night? This phase usually takes two to three weeks. We're not judging your current process—we're trying to understand it well enough to improve it.

2

Building Flexible Models

Once we understand your situation, we create forecasting models that account for multiple scenarios. Best case, worst case, and the realistic middle ground. These models connect to your existing data sources where possible. The goal is to reduce manual entry and increase accuracy over time.

3

Testing and Adjusting

We run the models alongside your current process for one quarter. This lets us compare results, identify where the new approach adds value, and make adjustments before full implementation. Some clients find issues we didn't anticipate. That's expected—and why we test before committing.

4

Training and Handoff

Once the models are working, we train your team to use them independently. This phase typically involves four to six sessions spread across two months. We also provide documentation and stay available for questions as your team gets comfortable with the new system.

Meet Two of Our Core Team Members

We're a small team by design. Everyone here has spent years working directly with business finances—either in corporate roles or as consultants. We hire people who understand the pressure of making budget decisions with incomplete information.

Team member Daerik Moss

Daerik Moss

Lead Financial Analyst

Daerik spent eight years working in manufacturing finance before joining us in 2021. He specializes in helping production-focused businesses forecast material costs and capacity planning. If you've got inventory challenges, he's probably seen something similar before.

Team member Felicity Navarro

Felicity Navarro

Senior Forecasting Consultant

Felicity came from retail analytics and joined our team in early 2023. She focuses on seasonal businesses and companies dealing with unpredictable demand patterns. Her background in data visualization helps clients actually understand their forecasts instead of just looking at numbers.

Collaborative workspace environment at neuronstreamwise

The Rest of the Team

Support and Development

Beyond our consultants, we have developers maintaining our forecasting tools, support staff helping with day-to-day questions, and operations people keeping everything running. It takes about twelve people total to serve our current client base effectively.

What Guides Our Decision Making

Strategic planning session with financial data

Practical Over Perfect

We'd rather give you a forecast that's 80% accurate and you'll actually use than a theoretically perfect model that sits unused because it's too complex. Practical wins every time.

Honest About Limitations

Forecasting isn't magic. We can't predict the future—nobody can. What we can do is help you prepare for multiple possible futures. We're upfront about uncertainty because pretending it doesn't exist helps no one.

Long-Term Relationships

Most of our clients have worked with us for years. That's not by accident. We focus on building systems that improve over time, not delivering one-time projects that need replacement in twelve months. Your success compounds our success.

Continuous Learning

Financial landscapes change. New regulations appear, market conditions shift, technology evolves. We invest in ongoing education for our team and regularly update our methods based on what we're seeing across client projects.

Want to Talk About Your Forecasting Challenges?

We typically start with a conversation—no commitment required. Tell us what's not working with your current approach, and we'll share whether we think we can help. If we're not the right fit, we'll tell you that too.

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