From Code to Conversations Without Borders: How Language I/O Scaled by Solving a Pain That Fortune 500s Couldn’t Ignore

In global business, product-market fit can hinge on one uncomfortable truth: you can have the best software in the world, but if your customers can’t get support in their own language, you’re losing them.

That was the insight that led Heather Shoemaker to build Language I/O, a platform that enables companies with primarily English-speaking support teams to provide real-time support in virtually any language — without staffing native speakers in every market.

Her journey from linguist to coder to tech CEO offers a blueprint for founders on identifying the right problem, building for enterprise buyers, and scaling without losing focus.

Finding the Pain Worth Solving

Shoemaker’s early career blended two worlds — a degree in linguistics and a new love for writing code. After a decade as a globalization engineer helping companies internationalize their software, she saw a consistent, costly challenge: It wasn’t translating websites or rewriting code that slowed global expansion — it was providing multilingual customer support at scale.

The “solution” at the time? Flying teams around the globe to staff native-speaking agents for each language. Expensive. Slow. Hard to scale.

Shoemaker sat on the problem for years, knowing it was big but waiting until she had the financial runway and right moment to strike.

Bootstrapping with a Built-In Buyer

When she finally launched Language I/O, she didn’t start with a blank slate. She had an enterprise customer already asking for a solution, which shaped her MVP: automate the human translation of self-service knowledge base articles, so customers could solve issues without ever opening a ticket.

That low-hanging fruit opened the door to bigger opportunities — including a pivotal conference meeting with a Fortune 500 social media company. They wanted real-time ticket translation inside their CRM so English-speaking agents in Omaha could handle chats from customers in Chinese, Russian, or French without delay.

Shoemaker, then the only developer, built it herself.

Enterprise from Day One

Language I/O targeted large companies from the start — partly because in those early years, they were the ones going global fastest. For founders, her approach underscores a key positioning lesson: If the pain you solve is tightly tied to scale, aim at the buyers who feel that pain first and most severely.

The product roadmap followed the enterprise’s lead:

Phase 1 – Automated knowledge base translation.
Phase 2 – Real-time translation for tickets.
Phase 3 – Expansion into live chat and multiple CRM integrations.
Phase 4 – Industry-specific accuracy layers.

Customer feedback wasn’t just welcome — it drove the roadmap. But Shoemaker’s team filtered every request through one lens: revenue impact. They tracked feature asks, tied them to potential deal sizes, and prioritized accordingly.

Selling What You Can’t See

As a technical CEO, Shoemaker could write the first version of the product herself — a huge advantage for speed and cost. But selling was another matter.

Her solution:

Partner with sales talent who could own pipeline building and quota.
Learn the numbers herself — pipeline coverage, quota attainment, CAC, growth trajectories — because as CEO, you can’t be absent from the sales math.
Use in-person trade shows early to land big accounts, then layer in SEO and content marketing for inbound leads.

For other technical founders, the takeaway is clear: you can outsource sales execution, but you can’t outsource sales literacy.

Knowing (and Beating) the Competition

Shoemaker is adamant: ignoring competitors is a luxury tech companies can’t afford. Her team actively tracks:

Who’s entering the space and getting funded.
How competitors are positioning and pricing.
How to articulate Language I/O’s differentiation on a sales call — especially when prospects name competitors directly.

Competitors arriving in your niche? “See it as market validation,” she says — if you’re confident in your positioning.

Scaling the Team (and Letting Go)

Language I/O started with three people, headquartered in Wyoming with close ties to the University of Wyoming for engineering hires. COVID shifted them fully remote — opening the door to recruit nationally and internationally for top talent.

Critical hires during scaling:

Finance Director – to handle SaaS metrics and investor reporting.
Sales & Marketing Leadership – to accelerate growth beyond founder-led selling.
Product Management – to bring process and prioritization to roadmap decisions.

For Shoemaker, the hardest founder shift was delegating:

“If I’m going to remain CEO, I need to let the talented people I hired do what they do best.”

Adapting to the Market

The pandemic unexpectedly accelerated their growth. When companies could no longer send people abroad to hire native-speaking agents, demand for a tech-based multilingual solution spiked.

Shoemaker’s broader point: founders must expect external shocks — and build both the mindset and operational flexibility to pivot quickly.

What’s Next

Language I/O is now pushing into:

Multilingual Chatbots & Conversational AI – Making single-language bots multilingual without re-engineering.
Voice Translation – Converting voice to text, translating, and outputting back to voice in real time.

It’s the same mission — breaking language barriers — applied to the next wave of customer engagement.

Key Lessons for Tech Founders

From Shoemaker’s journey, tech founders can take away:

Start with a known pain — Don’t convince the market they have a problem; solve one they already know is expensive.
Let customers shape the MVP — But prioritize by revenue potential.
Be enterprise-ready early — If your problem scales with company size, target the biggest players from the start.
Mind the competition — You can’t win the deal if you can’t explain why you’re better.
Hire your blind spots — And give those hires real ownership.
Stay flexible — External shocks can kill a rigid plan but accelerate an adaptable one.