About Go Fig

Go Fig exists because we watched too many finance leaders lose nights and weekends to the same battle: brilliant people, trapped by fragmented data, rebuilding the same reports month after month.

Nathan Freystaetter

Founder & CEO

Sr Data Scientist & Strategy Lead, Square
Strategy & Analytics Manager, Oportun
Analytics Lead, Global Lending Services
Senior Business Analyst, Capital One Auto Finance

I spent over a decade building data systems at companies like Square, Capital One, and Oportun—places where data infrastructure was world-class. Machine learning models, real-time dashboards, automated pipelines. Data just worked.

In 2019, I moved to Greenville, South Carolina—a historic textile city that has reinvented itself as a hub for modern manufacturing innovation. I had multiple conversations with CFOs of local SMB and middle market companies including manufacturing plants, PE portfolio companies, Logistics firms, and I saw a consistent trend. Finance teams spending 50% of their time gathering and cleaning data. Month-end close that felt like a mystery until the books finally balanced. ERPs that cost millions and still required Crystal Reports workarounds.

These weren't technology problems. These were companies being underserved. Too small for the enterprise solutions that cost $8M. Too complex for the SMB tools designed for simple businesses. Stuck in the middle with Excel as their only reliable option.

Go Fig is the product I wished existed for them. Enterprise-grade data connectivity. Middle market pricing. Time to value measured in days, not years.

The State of Finance in 2026

At the end of 2025, we interviewed 12 finance leaders across manufacturing, aerospace, water, engineering, construction, and consumer products—companies ranging from $20M to $250M+ in revenue to get a sense of where Finance leaders in these industries are.

100%

The Universal Finding

Every single participant identified the same #1 pain point: fragmented data across disconnected systems. ERPs don't talk to each other. Systems inherited through growth or acquisition create silos. The result: finance teams spend 40-60% of their time gathering and reconciling data instead of analyzing it.

Key Themes From Our Research

100% Fragmented Data

"None of these systems talk very well together"

92% Excel as the Workaround

Finance people think in rows and columns—Excel isn't the problem, manual data prep is

75% Data Cleanup > AI

"There's some cleanup that needs to occur before AI works"

67% ERP Implementation Failures

"90% of ERP implementations are disasters"

67% P&L Uncertainty

"I feel about 80% confidence on my P&L. I could still be off $2-3M."

58% Data Arrives Too Late

"I could be severely behind budget and not know it 3-4 weeks into the month."

In Their Words

"Every month is a mystery... I have 4,000 SKUs driving a lot of noise, an ancient system, and actuals just funnel in and it's like, 'What the hell happened?'"
— VP Finance, Aerospace

"People promise you the moon, it's six months and $40,000, and it's then a year and a half and $120,000, and it still doesn't work."
— Fractional CFO

"I ran the entire company through Crystal Reports workarounds, not the ERP."
— CFO, Steel Manufacturing

"If we could touch the data as little as possible, that's a win."
— FP&A Analyst

"Not everybody's looking for bells and whistles... middle market is looking for simpler solutions that go deeper."
— CFO, $650M Manufacturing

The pattern was clear: finance teams weren't asking for AI. They weren't asking for revolutionary technology. They were asking for basics done exceptionally well—connect the data, deliver a single source of truth, and make existing tools (including Excel) work better.

What Does Go Fig Believe?

Basics done right beats revolutionary promises.

The finance leaders we talked to were exhausted by vendors promising the moon. They didn't want revolutionary. They wanted reliable. Go Fig focuses obsessively on what actually matters: getting your data connected, clean, and where you need it.

Data connectivity must come before AI.

Every CFO said the same thing: "AI is overhyped—best use case is data cleaning, not decision-making." They're right. AI tools hallucinate when fed messy data. Go Fig solves the foundation first. Our AI assistant Celeste works because the data is clean, not despite it.

Excel is for analysis, not data prep.

Finance people think in rows and columns. Excel is their language. The problem isn't Excel—it's the manual data manipulation required to get data INTO Excel. Go Fig eliminates Excel workarounds while making your existing spreadsheets better: up-to-date instead of static, synchronized instead of siloed.

Middle market deserves enterprise quality.

Fortune 500 companies have data engineers, data warehouses, and custom integrations. A $50M manufacturer doesn't—but they have the same data challenges. Go Fig provides enterprise-grade infrastructure at a price point that makes sense: under $1K/month, not $8M implementations.

How Is Go Fig Different?

We're a service, not just software.

"I don't have time to learn your software" was the most common complaint about vendors. So we eliminated the learning curve. Our team builds your integrations, cleans your data, and constructs the semantic layer. You focus on insights. We handle the plumbing.

Days to value, not months.

ERP implementations take 18 months and fail 70% of the time. Go Fig connects your existing systems in weeks—often days. No rip-and-replace. No organizational disruption. Just clean data flowing where it needs to go.

We don't replace what works.

Your ERP works for transactions. Your CRM works for sales. Your spreadsheets work for analysis. Go Fig connects them all into one source of truth—without forcing you to abandon tools your team already knows.

Questions About Go Fig

Common questions about who we are and how we work.

Why did Nathan start Go Fig?

After a decade in data science at Square, Capital One, and Oportun, Nathan watched middle market finance teams struggle with the same problem: brilliant people trapped by fragmented data. Enterprise tools were too expensive and complex. SMB tools were too limited. Go Fig fills that gap with enterprise-grade data connectivity at middle market pricing.

What makes Go Fig different from other analytics tools?

Most tools promise AI magic but ignore the real problem: your data is scattered across 10+ systems. Go Fig solves the foundation first—connecting your ERPs, spreadsheets, and databases into one source of truth. AI features like Celeste work because the data is clean, not despite it.

Why do you focus on 'basics done right'?

Every CFO we interviewed said the same thing: they don't need revolutionary technology. They need reliable data they can trust. 70% of ERP implementations fail. Fancy dashboards get abandoned. We focus on what actually works: clean data, delivered where you need it, on schedule.

Why does Go Fig enhance Excel instead of replacing it?

Finance teams have decades of expertise built into their Excel models. Asking them to abandon that is asking them to start over. Go Fig delivers clean, post-processed data directly into your existing spreadsheets—your formulas and formatting intact. Excel becomes better, not obsolete.

Is Go Fig a software company or a services company?

Both. Our platform connects your systems and automates data flows. But we also provide white-glove implementation—our team builds the integrations, cleans your data, and constructs the semantic layer. You don't need to hire data engineers or learn new technical skills.

Who are your typical customers?

Finance leaders at middle market companies ($20M-$500M revenue) drowning in disconnected systems. Private equity portfolio companies that need standardized reporting across acquisitions. Manufacturing CFOs who can't get real-time visibility into operations. Anyone spending more time gathering data than analyzing it.

Where is Go Fig based?

Go Fig is headquartered in Greenville, South Carolina. Our team works with customers across the United States, with particular expertise in manufacturing, private equity, logistics, and professional services.

How can I learn more or get in touch?

Schedule a demo to see your data connected in real-time. Or reach out directly—we love talking to finance leaders about their data challenges, even if you're just exploring options.

Ready to stop being a data janitor?

Book a 30-minute session to take the first step toward a connected data future.

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