From "Wait, What Do You Call That?" to Get IT

"Wait, what do you call that again?!"

That question has probably cost your organization more money than you think. Not because people are careless — but because even smart teams working on complex problems often use different words for the same thing.

The result? Meetings stall over definitions. Onboarding takes longer. Data quality suffers. And important context gets lost between departments.

We know this problem well. We've lived it across pharma, biotech, advanced materials, and energy. And after watching too many good projects derail over terminology confusion, we decided to do something about it.

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TL;DR

We're two lifelong friends who kept running into the same, surprisingly costly problem: people using different words for the same thing.

So we built Get IT — an AI-powered glossary and training platform that helps teams standardize language, reinforce it with short quizzes, and measure understanding.

The result: faster onboarding, cleaner data, and fewer "wait, what does that mean?" moments.

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The Problem We Both Saw

We've known each other since grade school, went through college and grad school together, and have stayed close ever since — working in different fields but sharing a similar mindset. That foundation of trust and shared problem-solving is what made starting a company together feel natural.

And we both kept hitting the same wall: inconsistent terminology.

Matt’s experience

Matt started his career in consulting at Accenture, managing laboratory data systems for major pharmaceutical companies.

He then joined GreenLight Biosciences, where he built the company’s first molecular master data system, manufacturing QC data system, and enterprise data warehouse — and later led the rollout of generative AI applications and ML imaging analytics for R&D.

Across every initiative, one issue kept resurfacing: inconsistent terminology. Definitions varied across departments, pipelines broke, and teams wasted hours reconciling meaning instead of moving forward.

Pawel’s experience

Pawel worked as a scientist at Lyten, developing carbon nanomaterials for different applications.

The work required collaboration across teams with very different vocabularies — aligning data and results often meant translating between engineering, materials science, and product groups.

Later, at Noon Energy, while leading engineering and building out a growing team, onboarding new hires always included a long “here’s how we name things” session. Misunderstandings were common, and meetings often slowed down over definitions rather than progress.

Over time, through conversations with colleagues and friends across biotech, advanced materials, and energy, we realized this wasn’t unique to our jobs — it was everywhere. Smart teams were losing time and trust because their internal language wasn’t aligned.

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The Turning Point

After one too many projects got derailed by terminology confusion, we asked the obvious question: Why isn’t there a simple way for organizations to manage and teach their own vocabulary?

Not just store it somewhere — actually make sure people understand and use it consistently.

That question became the starting point for Get IT.

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What Get IT Does

1. Upload documents — SOPs, specs, reports, data sheets, whatever your team already works with.
2. AI extracts key terms and draft definitions — you review and approve them to create a living, governed glossary.
3. Auto-generated quizzes and micro-trainings — help reinforce the terminology and measure comprehension across teams.
4. Track understanding and consistency — so you can see alignment and how language evolves over time.

The outcome: better communication, faster onboarding, improved data quality, and fewer disconnects between teams.

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Who We’re Helping First

We’re starting with biotech and advanced materials teams — organizations where definitions, formulas, and documentation really matter.

But the problem extends far beyond that: anywhere teams depend on data, collaboration, and precision, shared language becomes critical.

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Our Mission & Values

We want to make shared vocabulary measurable and trainable. That means:

• Turning tribal knowledge into searchable, versioned definitions
• Reinforcing learning with short, focused practice that fits into real work
• Linking language clarity to data quality, compliance, and AI-readiness — because if teams don't agree on terms, their data won't agree on answers

We call the opposite of this clarity semantic debt — and we're building tools to help organizations pay it down.

Our guiding principles:

• Be clear. Use language that earns its place
• Be respectful of time. Training should be concise and useful
• Be accountable. Definitions and formulas should be transparent
• Be practical. Focus on solving real problems that matter

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Meet the Founders

We didn't start Get IT because we love glossaries. We started it because we've both lived the frustration of great work getting lost in translation.

Building a shared language shouldn't be hard — it should be part of how teams learn, grow, and get better together.

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What's Next

We're working with early design-partner teams who care about improving data quality, onboarding, and communication.

If this sounds familiar — if your organization has ever spent an entire meeting just clarifying terms — we'd love to talk.

Reach out to us — let's solve this problem together.