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Pinecone · pitchdeck

AI search startup Pinecone has raised $28 million backed by Tiger Global and Menlo Ventures — we got a look at its 18-slide Series A pitch deck

18 pages · 4 arc beats · 2 loops

Pitchdeck Download JSON
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AI search startup Pinecone has raised $28 million backed by Tiger Global and Menlo Ventures — we got a look at its 18-slide Series A pitch deck

Pinecone
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
— No image bound to this slide. Wire up imgproxy to display the rendered slide JPEG.
—

Deck intelligence map

4
coverage by narrative range · generated from this deck JSON
Narrative range 10 total
Metadata
Components
Metrics
Tools
Frameworks
Beats
Loops
Problem 2 slides 100% 2/2 slides 100% 2/2 slides · 8 hits
— 0/2 slides
— 0/2 slides
50% 1/2 slides 100% 2/2 slides 100% 2/2 slides · 4 hits Solution 5 slides 100% 5/5 slides 100% 5/5 slides · 22 hits
— 0/5 slides
80% 4/5 slides · 5 hits 80% 4/5 slides 100% 5/5 slides 60% 3/5 slides Market Sizing 1 slides 100% 1/1 slides 100% 1/1 slides · 5 hits
— 0/1 slides
100% 1/1 slides 100% 1/1 slides 100% 1/1 slides
— 0/1 slides
Go-to-Market 2 slides 100% 2/2 slides 100% 2/2 slides · 6 hits
— 0/2 slides
50% 1/2 slides 100% 2/2 slides 100% 2/2 slides
— 0/2 slides

Slide inventory

18
every slide · same image gating as the playbook
01
Slide 1
Visual represents vector space embedding.front_matter
Open slide detail
02
summarize
Open slide detail
03
other
Open slide detail
04
The slide is split into two sections: leadership team members with their associated company logos, and a list of individual investors with their associated firmother
Open slide detail
05
Uses a historical timeline to frame the current technology as an evolution of an ancient concept.argue_timing
Open slide detailLoop · Why Now
06
Uses a screenshot of a Wikipedia search result to illustrate the dated nature of keyword search.frame_problem
Open slide detailBeat · ProblemLoop · Why Now
07
The slide uses a visual progression of icons (from simple charts to complex media/conversational data) to illustrate the shift toward unstructured/complex data.frame_problem
Open slide detailBeat · ProblemLoop · Why Now
08
The slide uses a simple linear process flow to explain the core value proposition of vector search.present_solution
Open slide detailBeat · SolutionLoop · Why Now
09
Uses social proof/authority bias to validate the technology.show_traction
Open slide detailBeat · SolutionLoop · Why Now
10
The chart uses a hand-drawn style. The stack diagram shows the transformation of text into vector embeddings.argue_timing
Open slide detailBeat · SolutionLoop · Why Now
11
The slide uses a linear process flow diagram to position the vector database as the critical missing link in the modern data stack.present_solution
Open slide detailBeat · Solution
12
The slide uses a central diagram to anchor four key value propositions: Vector Search Index, Open Source Clients, Cloud Native Database, and Managed Service.present_solution
Open slide detailBeat · Solution
13
The slide uses a bar chart metaphor to represent different market segments, with Pinecone as the foundational layer.size_opportunity
Open slide detailBeat · Market Sizing
14
The diagram uses a flow-based layout to represent customer progression and sales engagement models.plan_implementation
Open slide detailBeat · Go-to-Market
15
The funnel maps specific user actions (Learn, Discover, Evaluate, Build, Deploy) to standard PLG metrics.present_framework
Open slide detailBeat · Go-to-Market
16
The slide uses a funnel-like process diagram to represent the customer journey.illustrate_case
Open slide detail
17
plan_implementation
Open slide detail
18
The visual represents a vector database concept (embeddings in a multi-dimensional space).front_matter
Open slide detail