Seed Round · Confidential · 2026

Build products at the
speed of thought.

Millions of people are building software with AI. They can prototype in minutes, but they can't ship.

The Efficiency Threshold
The efficiency threshold

A threshold is approaching.
The window is closing.

Can your product be rebuilt faster than you can improve it? If yes, you're below the threshold.

Below the threshold
Commoditized overnight.
  • Defensibility built on features. Features get rebuilt in hours.
  • Slow iteration. Manual handoffs. Broken feedback loops.
  • Your product takes months to improve. Someone rebuilds it in a weekend.
  • No compounding. Every cycle starts from scratch.
Above the threshold
The ones that survive and thrive.
  • Defensibility built on iteration speed. How fast you learn what users need and ship it.
  • Closed loops between discovery, execution, and measurement.
  • Every cycle compounds: faster, smarter, more aligned with users.
  • Features can be copied. Your speed of learning can't.

When execution costs nothing, the only moat is your iteration speed. The teams that compound will survive. The rest will be rebuilt by someone faster.

The New Paradigm
Only one keeps the human in control without slowing everything down

Three ways to build with AI.

Automated Squads
AI-enabled people in silos.
PM
+ AI
→←
Design
+ AI
→←
SWE
+ AI
→←
QA
+ AI

Each role faster. Human still routes info between steps. Context lost at every handoff.

AI doesn't learn
Semi-Autonomous
AI moves fast. Human decides. AI learns.
PM
Design
SWE
QA
ONE AI · FULL CONTEXT
↻ Learns from every interaction

AI has full context. Moves at the speed of thought. Pulls the human for key decisions. This is Tempo.

AI learns from every interaction
Fully Autonomous
Human at the edges only.
You
prompt
→
? no visibility
→
You
70%

Fast but a black box. No steering mid-process. Comes back with a 70% solution.

Shallow learning only
Market
A massive gap between two massive markets

$36B in combined valuation.
The middle is wide open.

Lovable
$7B valuation
$400M ARR
15M DAU
New market. Explosive growth. 70% ceiling.
Cursor
valuation $29B
ARR $2B+
users (1M paying) 2M
Existing market. Engineers. Proven demand.
Product builders need more structure and human oversight to get past 70% and actually ship.
As LLMs improve, engineers migrate toward directing AI rather than writing code.
Lovable bets AI can do everything. Cursor bets engineers will always be needed. We bet the answer is in the middle.
The Founder

Every company I've built led to this one.

AN
Antoine Neidecker, Founder
ML Engineer (3 yrs) · Head of Product (2 yrs) · 3× founder
mtg.ai
Meeting summarization. The discovery feature in Tempo reborn.
Train Fitness
Wearable startup, still growing. Hardware + software.
Merkle (Head of Product)
Transaction order flow, still growing.
Why this founder for this company
  • ML engineer building an AI product. Can design the proprietary model in-house.
  • Head of Product who lived the execution gap. Understands why PMs need this.
  • mtg.ai founder. Already built the meeting-to-insight pipeline once.
  • 3× founder with two companies still growing.
Product status
  • Discovery: live. Meeting bot + transcription + AI analysis.
  • Execution: live. Parallel AI agents, review gates, verification.
  • Building design partner cohort of 10–20. Demo-ready today.

Every product team will be reorganized around AI in the next two years.
Tempo is how they get there.

Working product. Demo-ready. I'd love to show you.

Contact
antoine@tempo.diy
Website
tempo.diy