The pitch deck AI PDF startup Reducto used to raise $8.4 million

Reducto
arc beats above · slides in the middle · loops below · scroll → 3 LOOPS
SETUP TENSION ANALYSIS EVIDENCE RESOLUTION APPENDIX
HOVER FOR DETAILS · CLICK A SLIDE FOR FULLSCREEN · STEP 1
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Deck intelligence map

4
coverage by narrative range · generated from this deck JSON

Slide inventory

13
every slide · same image gating as the playbook
01
Slide 1
front_matter
02
Uses a conversational UI metaphor to demonstrate the ease of integrating AI models with data.present_solution
03
Uses a contrast between a user query and an inaccurate AI/system response to highlight the problem of unstructured data.frame_problem
Open slide detailBeat · ProblemLoop · Cost Of Inaction
04
Uses a visual metaphor of 'Accuracy Drift' to illustrate the impact of ingestion issues.frame_problem
Open slide detailBeat · ProblemLoop · Cost Of Inaction
05
The slide uses a 'before-after' or 'error-analysis' framing to show AI failure modes.frame_problem
Open slide detailBeat · ProblemLoop · Cost Of Inaction
06
The slide uses a visual metaphor of documents being processed into structured JSON output.present_solution
Open slide detailBeat · SolutionLoop · Quick Win Big Bet
07
The slide uses a 'before/after' or 'source/output' visual metaphor showing a raw document snippet being processed into a clean table.present_solution
Open slide detailBeat · SolutionLoop · Quick Win Big Bet
08
The slide shows two AI models (ChatGPT and Claude) correctly identifying a specific data point ($44,802,056) from a provided document (Attachment V, Exhibit 4.1present_solution
09
The slide features a patent document image as a visual anchor for the document processing context.show_traction
10
The slide uses a dark background for the right-hand side to highlight performance metrics.compare_peers
Open slide detailLoop · Iceberg
11
The slide uses redacted placeholders for specific ARR figures and customer names.show_traction
Open slide detailBeat · Traction
13
state_next_steps