Pitch Deck: Startup Decagon raises $35 million for AI support agents

Decagon

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 8 total

Metadata

Components

Metrics

Tools

Frameworks

Beats

Loops

Problem 2 slides 100% 2/2 slides 100% 2/2 slides · 8 hits

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100% 2/2 slides · 3 hits 50% 1/2 slides Solution 3 slides 100% 3/3 slides 100% 3/3 slides · 7 hits

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100% 3/3 slides · 4 hits 100% 3/3 slides Traction 2 slides 100% 2/2 slides 100% 2/2 slides · 6 hits

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100% 2/2 slides · 4 hits 100% 2/2 slides Team 1 slides 100% 1/1 slides 100% 1/1 slides · 4 hits

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100% 1/1 slides

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every slide · same image gating as the playbook

front_matter

The slide uses redacted black boxes for sensitive financial and customer count data.show_traction

Open slide detailBeat · ProblemLoop · Cost Of Inaction

show_traction

Open slide detailBeat · SolutionLoop · Cost Of Inaction

present_solution

Open slide detailBeat · SolutionLoop · Cost Of Inaction

The dashboard shows metrics like 22,586, 85%, and 2.96, suggesting high engagement and retention.present_solution

Open slide detailBeat · SolutionLoop · Cost Of Inaction

inspire_vision

The slide highlights previous startup exits and academic achievements (Olympiad winners) to establish founder credibility.other

The slide uses redacted metrics to demonstrate ROI and customer satisfaction.illustrate_case