Read the pitch deck Rasgo used to raise $20 million to help data scientists build machine learning features 10x faster

Rasgo
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

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coverage by narrative range · generated from this deck JSON

Slide inventory

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every slide · same image gating as the playbook
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Slide 1
front_matter
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show_traction
Open slide detailBeat · Traction
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The slide uses a circular flow diagram to represent the iterative nature of data science projects.present_framework
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Uses a numbered list format to categorize specific professional frustrations.frame_problem
Open slide detailBeat · ProblemLoop · Cost Of Inaction
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The slide uses a three-part process framework (Transform, Share, Serve) to explain the value proposition of a feature store.present_solution
Open slide detailBeat · SolutionLoop · Cost Of Inaction
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The slide uses a classic three-column process layout to explain product functionality.present_solution
Open slide detailLoop · Golden Circle
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transition
Open slide detailLoop · Golden Circle
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The slide uses a process diagram to contrast old vs new data stacks.compare_peers
Open slide detailBeat · Competition
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The slide uses a hub-spoke style diagram to show Rasgo (metadata) sitting on top of existing data warehouses (BigQuery, Snowflake, Redshift).present_solution
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Includes three specific testimonials and a grid of logos.show_traction
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show_traction
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The slide uses a split-screen layout with a headline on the left and a quote on the right.cite_precedent
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transition
Open slide detailBeat · Team
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other
Open slide detailBeat · Team