About Go Fig

Go Fig connects your business systems, keeps them reconciled, and loads fresh data into the Excel your finance team already uses, operated by a senior-analyst-led services firm. We exist because we watched too many finance teams lose nights and weekends to the same battle: brilliant people, trapped by fragmented data, doing the manual month-end pull by hand when they should be interpreting the numbers.

How Go Fig works: we connect every system in a company's finances, ERP, CRM, HRIS, billing, warehouse, and spreadsheets, keep the numbers reconciled and traceable back to the source, and load fresh data into the Excel finance teams already run at close, during planning, and in front of the board. No manual data pull.

Celeste is Go Fig's AI financial analyst. She works only on your connected, reconciled data to answer margin, segmentation, and reporting questions in plain English, every answer grounded in real data with a full audit trail. Your financials never leave your environment, and Celeste never pastes them into a public chatbot or uses them to train an outside model.

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.

Our Team

Go Fig is a small, focused team based in Greenville, South Carolina. We're data engineers, product builders, and senior analysts who believe mid-market companies deserve the same connected, reconciled financial data that Fortune 500s build in-house.

Our team combines deep technical expertise in data science and engineering with hands-on experience working directly with finance teams. We don't just build software and hand you a login. We sit beside you, learn your systems, and connect them into the reconciled data layer your business needs.

Investors and strategic partners can learn more about our vision, traction, and market opportunity on our Investor Relations page.

Nathan Freystaetter

Founder & CEO

A decade of data science at Square, Capital One, and Oportun. Nathan leads product strategy and technical architecture.

Violet Kester

Engineering Lead

Oversees platform architecture, integrations, and the engineering team. Violet keeps the systems running and the code clean.

Our Mission

We believe we can solve more problems when humans come together to collaborate. Our AI agents and visual workflows make it simple for any problem solver in any organization to get objective facts quickly and answer the "so what", so they can spend more time on in-person collaboration that fuels genuine human innovation and builds a stronger community for all of us.

Core Values

Lean In We avoid getting too comfortable and keep pushing even when it's hard.
Curiosity We ask questions and know there's always a better way, even if we don't yet know how.
Humility We know we work better as a team and sometimes it's better to pass than to shoot.
Flex Hard We do our best work when and where we're at our best.
Relationships First We prioritize community and know human ingenuity always wins in an AI-dominant future.

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 we interviewed 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 finance teams at mid-market companies struggle with the same problem: brilliant people trapped by fragmented data, losing half their week to the manual month-end pull instead of the analysis. Enterprise tools were too expensive and complex. SMB tools were too limited. Go Fig fills that gap by connecting and reconciling your systems and loading fresh data into Excel, with AI analysts on top, priced for the mid-market.

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 and nothing keeps it reconciled. Go Fig connects every system, keeps the numbers reconciled and traceable to the source, and loads fresh data into the Excel you already use. AI analysts like Celeste run reconciliation, segmentation, and reporting on that connected data, which is why the answers are grounded instead of guessed. Your financials stay in your environment and are never used to train an outside model.

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. We build and operate the data connections that keep your systems reconciled and your Excel loaded with fresh data, and our senior analysts do the white-glove setup: integrations, account mapping, reconciliation, and the first reports. You don't need to hire data engineers or learn new technical skills.

Who are your typical customers?

Finance teams at mid-market companies (50 to 500 employees, roughly $20M to $500M revenue): controllers, FP&A leads, and finance-minded operators who own the close and the monthly package. Private equity portfolio companies that need standardized reporting across acquisitions. Manufacturing and services finance teams reconciling an aging ERP against the GL and the bank. Anyone whose month-end is eaten by the manual data pull instead of the analysis.

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?

Book a call with a senior analyst and get a free P&L audit. Or reach out directly, we love talking to finance teams about the close, reconciliation, and the reports they wish ran themselves, even if you're just exploring options.

Generate AI summary

ChatGPT Claude Perplexity Gemini

Ready to stop doing the manual data pull by hand?

Book a call with a senior analyst and get a free P&L audit. We'll show you where your month-end close is leaking hours and where the numbers don't reconcile.

Talk to a senior analyst

Not ready? Take the Close Leak Scorecard