Machine-learning model startup Aporia raises $25 million: pitch deck

Aporia

arc beats above · slides in the middle · loops below · scroll → 1 LOOPS

Deck intelligence map

coverage by narrative range · generated from this deck JSON

Narrative range 7 total

Metadata

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Loops

Problem 5 slides 100% 5/5 slides 100% 5/5 slides · 22 hits

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20% 1/5 slides 80% 4/5 slides 100% 5/5 slides 80% 4/5 slides Agitate 1 slides 100% 1/1 slides 100% 1/1 slides · 6 hits

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Solution 1 slides 100% 1/1 slides 100% 1/1 slides · 7 hits

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Slide inventory

every slide · same image gating as the playbook

front_matter

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The slide uses a combination of individual headshots for leadership and a group photo for the broader team, supplemented by a logo grid of previous employers.other

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frame_problem

Open slide detailBeat · Problem

Includes two bar charts showing market growth projections for MLOps and AI platforms.argue_timing

Open slide detailBeat · ProblemLoop · Cost Of Inaction

Uses case studies to demonstrate the negative business impact of AI failures.frame_problem

Open slide detailBeat · ProblemLoop · Cost Of Inaction

Uses real-world examples (K1 supercomputer and Microsoft Tay) to establish the problem space.frame_problem

Open slide detailBeat · ProblemLoop · Cost Of Inaction

Uses the 'tip of the iceberg' metaphor to suggest these are just examples of a larger, systemic problem.frame_problem

Open slide detailBeat · ProblemLoop · Cost Of Inaction

frame_problem

Open slide detailBeat · Agitate

Minimalist design with a browser-window-like container.inspire_vision

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present_solution

Open slide detailBeat · Solution

The slide uses a 'Why?' structure to justify each feature, effectively linking product capabilities to user needs.present_solution

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state_next_steps

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