Y Combinator startup Nanonets uses AI to extract data from documents. Check out the 17-slide pitch deck it used to raise $10 million.

Nanonets
arc beats above · slides in the middle · loops below · scroll → 2 LOOPS
SETUP TENSION ANALYSIS EVIDENCE RESOLUTION APPENDIX
HOVER FOR DETAILS · CLICK A SLIDE FOR FULLSCREEN · STEP 1
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Deck intelligence map

7
coverage by narrative range · generated from this deck JSON

Slide inventory

17
every slide · same image gating as the playbook
01
Slide 1
front_matter
02
The illustration uses a puzzle-piece metaphor to represent document matching/interoperability.inspire_vision
03
Uses a visual metaphor of a person drowning in paperwork holding a 'HELP' sign.frame_problem
Open slide detailBeat · ProblemLoop · Cost Of Inaction
04
frame_problem
Open slide detailBeat · ProblemLoop · Cost Of Inaction
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present_solution
Open slide detailBeat · Solution
06
The chart uses a logarithmic scale for the y-axis. The 'Winter' labels refer to AI winters.argue_timing
Open slide detailBeat · Why NowLoop · Why Now
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size_opportunity
Open slide detailBeat · Market Sizing
08
compare_peers
09
The slide uses two line charts stacked vertically to illustrate the inverse relationship between effort and accuracy in ML vs rule-based systems.compare_peers
10
The slide uses a timeline-based comparison to illustrate efficiency gains.compare_peers
11
The slide uses a linear process flow diagram to explain the product functionality.present_solution
Open slide detailBeat · Product Demo
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The slide uses a process flow diagram consisting of three screenshots representing the user journey.present_solution
Open slide detailBeat · Product Demo
13
present_solution
Open slide detailBeat · Business Model
14
The chart shows a trend line without explicit Y-axis values, representing ARR growth.show_traction
Open slide detailBeat · Traction
15
The chart uses placeholder 'X% YoY growth' text, indicating this is a template or draft slide.show_traction
Open slide detailBeat · Traction
17
state_next_steps