Cases

MetaPax

Deep-tech MVP in 2 months: $1M+ raised, 4× cheaper AWS

This case is about the phase where a company needs to move quickly from idea to MVP without losing control over technology, cost, or investor-facing execution.

Primary outcome

$1M+ investment raised.

Additional outcomes

MVP in 2 months, engineering team of 8.
4× cheaper AWS.
$2,000 streaming-glasses prototype for investor demo.

Context

The deep-tech team needed to reach MVP quickly and demonstrate product and technical viability to investors.

Challenge

The challenge was to assemble the team, bring the product to demo-ready state, and keep both infrastructure cost and delivery speed under control.

What I did

Assembled an engineering team of 8 people.

Built and launched an MVP for a real-time streaming product.

Optimized the backend running on AWS.

Prepared the technical foundation for investor demos and further product growth.

What mattered in this engagement

Build the team and technical base around a clear fundraising goal.
Reach a demo-ready product state quickly.
Control infrastructure cost without slowing execution.

Fractional CTODeep TechMVPFundraising

If this case feels close to your situation, we can quickly map the next step

Tell me which symptoms you see in your team or platform, and I’ll help you decide whether this needs an audit, ongoing CTO support, or a narrower technical intervention.

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2026-04-194 min read

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Founders often underestimate not engineering itself, but the cost of missing engineering management. While the team is still small, that gap stays hidden. As the product grows, ownership, prioritization, decision quality, and delivery speed all start to drift.

Fractional CTODeliveryEngineering Management

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About me

Michael Ledin

A CTO with 16+ years of experience. I help product companies where they need technical strategy, architecture, team leadership, and practical AI adoption.

Fractional CTO / AI and architecture consultant

Fractional CTO and technical leadership.
AI transformation across product, support, and engineering.
Architecture modernization, reliability, and observability.
Infrastructure cost optimization.