About GMTech

American Businesses
Are Being
Left Behind.

The US builds the world's most powerful AI and ranks 24th in actually using it. The companies caught in the middle — the 12-person agency, the regional retailer, the marketing team drowning in AI subscriptions — have nowhere to turn.

See how we work →

The Gap We Fill

Senior AI thinking without the $400K hire. Infrastructure you own after the engagement ends. A platform with no stake in which model wins.

40–60%
Average AI spend reduction for audit clients
118+
Models available in AI Lab
$0
Markup on API costs
0
Financial stake in any AI model company

Why this gap exists

Three Structural Failures.

01

Big consultancies chase Fortune 500

McKinsey and Accenture can't economically serve sub-$100K engagements. Their cost structure rules out 95% of American business.

02

Solo consultants can't scale

A single prompt engineer with no proprietary tooling can take on three clients at a time. That's a freelance practice, not a market solution.

03

Enterprise software doesn't sell down

Salesforce and HubSpot build for businesses big enough to justify the sales motion. The 12-person agency is invisible to them.

The model

We Don't Just
Advise. We Build.

Every engagement ends with the client running on infrastructure they own: an AI Lab workspace, documented workflows, custom automation, or a rebuilt platform. The goal is always the same — make ourselves obsolete inside your organization, and leave behind something durable that keeps working after we're gone.

Services discover the problem. The product automates the solution. The client keeps the result.

01

Start with the audit

We map your current AI usage, test your actual prompts, and document where the gaps are. That's the foundation — not a sales pitch for what comes next.

02

Build toward ownership

Everything we implement is documented and handed over. Playbooks, integrations, platform access — all in your hands by the time we're done.

03

Leave behind something durable

The engagement ends. The infrastructure doesn't. AI Lab access, custom workflows, and rebuilt platforms continue working after we step back.

What we do

Three Ways to Work
With GMTech.

01

AI Modernization

For teams using AI tools that aren't producing results. We audit workflows, implement the right models, and run advisory retainers that get your stack producing real output.

Explore AI services →
02

AI Lab

Our multi-model comparison platform. Run any prompt across 118 models simultaneously, track costs in real time, and make selection decisions based on data. $14.99/month.

Try AI Lab →
03

Retail Modernization

For independent retailers on legacy platforms. We build modern infrastructure — website, e-commerce, workflow automation — on a productized model that makes it affordable.

Learn about the retail platform →
Bennett Bakke, Founder of GMTech

Bennett Bakke

Founder, GMTech

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About GMTech

Built to Serve the
Fortune 5,000,000.

GMTech was founded after a simple observation: the tools were getting powerful, but most businesses didn't know how to use them, couldn't afford someone to help, and weren't being served by anyone who understood both the technology and the operational realities of a small team.

We're intentionally lean, intentionally focused, and not interested in the enterprise. The Fortune 5,000,000 is our market.

What We Stand For

Five Values.
No Exceptions.

These aren't aspirational. They're operational. Every piece of content, every report, and every recommendation is run against these before it goes out.

01

Straight Talk Only

The AI industry runs on hype. We don't. We say what's true, flag what's unclear, and call out nonsense when we see it — because that's what actually builds trust.

02

Teach, Don't Gatekeep

We built this for the person who's curious but not sure where to start. Complex things can be easy to understand. That's not dumbing it down. That's being of service.

03

Your Data Is Yours

We're not a middleman mining your information. What you put in stays yours. Privacy and security aren't features — they're the baseline, and we won't quietly change that.

04

Show the Work

We use the tools we build. Every comparison, every report, every recommendation is proof of what's possible. We don't describe what AI can do. We demonstrate it.

05

Always Improving

We ship, we learn, we update. You'll never get a tool or a recommendation we've stopped thinking about. The work is never finished — that's intentional.

Why It Matters

Independence Is the Point.

OpenAI won't put Claude on their platform. Google won't offer GPT-4. Anthropic won't recommend Gemini. Every AI company is competing for your dependency — and building products designed to make switching painful.

GMTech doesn't compete with any of them. We don't build AI models. We don't have affiliate relationships with the companies that do. We don't get paid more when you use one model over another. That's not a feature we added — it's the only way this works.

Real impartiality isn't a marketing position. It's a structural choice. We made it deliberately, and we protect it deliberately.

01

No conversation logging by default

Your prompts don't sit in a database waiting to train someone's next model. Private by default — not as a premium feature.

02

No identity passed through to model providers

The AI companies don't know who you are. Your queries are anonymous to them. That's how it should work.

03

No training on your data

We don't build AI models. We have no incentive — financial or technical — to harvest what you send through us.

04

No markup on API costs

What we pay the model providers is exactly what you pay. Our revenue comes from subscriptions — not from inflating your usage.

05

Terms communicated clearly

If and when our terms change, we tell you what changed and why. Not buried in a policy update. Plain language, every time.

Program Affiliations

Recognized by the
Organizations That Matter.

GMTech has been selected for programs run by some of the most significant organizations in the technology industry. These aren't paid partnerships — they're competitive selections based on the merit of what we're building.

Lowenstein Sandler VentureCrushFG
Lowenstein Sandler

Selected for the VentureCrushFG accelerator program

NVIDIA Inception Program
NVIDIA

Member of NVIDIA's Inception AI startup program

Google for Startups Cloud Program
Google

Google for Startups Cloud Program member

Amazon AWS Activate Startup Program
Amazon Web Services

AWS Activate startup program member

Cohere Startup Program
Cohere

Cohere enterprise AI startup program member

Program affiliations represent competitive selection — not paid placements. They reflect external validation of the technical and strategic work being done at GMTech.

Work With Us

Ready to Stop
Guessing and
Start Knowing?

Start with a 30-minute discovery call. We'll learn your setup, your goals, and where the obvious gaps are. No pitch. No agenda. Just an honest conversation.