Tideline

Demand forecasting that cuts overstock and stockouts across every warehouse — accurate from week one.

Td venture visual

The venture

Tideline grew out of an ML pipeline we built to forecast demand across 40 warehouses. It trimmed overstock by double digits in the first quarter, so we made it a standalone product.

The model is live across retail and logistics customers and this round — now 95% committed — closes the seed extension before our Series A.

Traction

-12% Inventory waste

40 Warehouses live

94% Forecast accuracy

$2.8M ARR

Use of funds

Model R&D45%

Integrations25%

Go-to-market20%

Operations10%

Investment tiers

Minimum allocation

$5K

Seed ticket

Quarterly investor updates

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Most committed

$50K

Syndicate

Pro-rata rights
Founder Q&A access

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Closing soon

$100K

Strategic

Advisory equity
Roadmap input

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Led by

Leo Kovač AI & ML Lead

Jonas Meyer CTO

95% funded

$1.1M of $1.2M goal

96investors

3days left

Min. ticket$5K

TermsSAFE · $18M cap

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