Pre-SeedBacked by Battery Ventures and others

Seek AI

Building AI for no-code Analytics

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Seek AI

Description: Building AI for no-code Analytics

Investors: Battery Ventures, Conviction

Reference Link to Deck: https://www.businessinsider.com/pitch-deck-seek-ai-generative-raise-pre-seed-seed-funding-2023-1

Stage: Pre-Seed

Seek AI Pitch Deck


Slide Transcriptions


Slide 1

Seek what matters.

seek.ai


Slide 2

Our Belief

Foundation models are the future of knowledge work.


Slide 3

The Data Analysis Bottleneck

“Self-serve” analytics tools are alienating to business users.

  • 67% of executives are uncomfortable accessing data from existing tools/resources. (Deloitte)
  • Asking the data science team directly is much easier:
  • Data team needs to answer ad-hoc questions from everyone in the organization
  • Questions pile up and take hours or days to answer
  • Data team’s own projects get delayed
  • Business users’ deadlines get missed
  • Seek’s Natural Language Interface for Data

    (Chat interface mockup)

    “@Seek: What do you want to work on?”


    Slide 4

    …powered by AI-generated SQL

    (Screenshot of SQL query)

    This is only possible now!

    (Graph showing generative AI code generation accuracy rising from ~0% in 2020 to ~72.3% in 2021)


    Slide 5

    Seek’s First Year — Initial Product Delivery

  • Cloud-based application deployed
  • Proprietary model architecture deployed
  • SOC2 audit passed
  • Patent pending for Seek Workflow™

  • Slide 6

    Seek’s First Year — Strong Customer Demand

  • 12 contracts signed
  • Core Initial Team

  • Founding team complete: CEO, CRO, Director of Engineering, NLP research scientist
  • Current team: 7 Engineering/AI, 2 Business Development
  • Design/engineering agency hired

  • Slide 7

    How we help customers unlock ROI

    Customer testimonial:

    > “Without the right data, retailers of CPG products are missing out on billions of dollars of GMV that they are capable of shipping. Seek allows our CPG customers to query these complex datasets in a fraction of the time it would take with traditional data tools, which finally lets them unlock this GMV. We are thrilled to be an early design partner of Seek because of these gains that it will produce for our customers.”

    >

    >

    > – CPO, Mid-Stage SaaS Company

    >


    Slide 8

    When customers use Seek…

  • …questions are answered 75% faster
  • …thousands of questions get asked
  • …time waiting for answers goes down from 2 weeks to same-day

  • Slide 9

    Seek’s Founding Team

  • Sarah Nagy, CEO
  • Enterprise Data Products: Edison, Predata (exits)
  • Quant/Data Science: Citadel, ITG
  • Master in Finance: Princeton
  • BAS, Astrophysics/Business Economics: UCLA
  • Sarah Smith, CRO
  • Head of Sales: Edison (exit to unicorn YipitData), Market, ICE
  • S&P Options Trading, Prime International
  • David Lee, Head of Engineering
  • Senior Software Engineer: DataFox
  • MS, Information Systems: Carnegie Mellon
  • BS, Industrial Engineering: Northwestern
  • Raz Besaleli, NLP Research Scientist
  • Co-founder, Head of IS: Aphelion Orbitals
  • Graduate Research Assistant: Montclair NLP Lab

  • Slide 10

    Roadmap / Growth Plan

  • Continue scaling engineering team
  • Expand customer base across SaaS and retail
  • Extend natural language interface capabilities
  • Deepen integrations with enterprise data stacks

  • Slide 11

    Fundraise

    We are raising $4 million

    To build the natural language interface for data.


    Slide 12

    Thank you!

    info@seek.ai


    Walkthrough & Design Framing


    Slide 1 — Title

    Minimalist opener: white background, black type “Seek what matters.” plus logo. Immediate clarity, no clutter. Establishes brand focus.


    Slide 2 — Belief

    One-liner belief statement on a black slide: “Foundation models are the future of knowledge work.” Sets the philosophical foundation. Short, declarative, memorable.


    Slide 3 — Problem Setup

    Text-heavy but credible. Uses Deloitte stat (67% execs struggle with tools) to establish authority. Left side problem description, right side chat UI mockup shows envisioned simplicity. The contrast primes investors: old world complexity vs. new world ease.


    Slide 4 — Technology Validation

    Screenshot of SQL and generative AI performance chart. Design signals technical legitimacy: “This isn’t hand-wavy, this is powered by real breakthroughs.” Graph emphasizes urgency/timing (“only possible now”).


    Slide 5 — Execution: Product Delivery

    Focused milestone slide. Clean checklist style communicates operational maturity (cloud app, SOC2, patent pending). Black background conveys seriousness.


    Slide 6 — Execution: Demand & Team

    Split slide: traction (12 contracts) and team buildout. Emphasizes completeness of founding team + scale of early hires. Design communicates balanced progress: not just vision, but team and contracts.


    Slide 7 — ROI Proof

    Customer quote takes center stage. Long block of text but credible because it mentions “billions in GMV.” Slide choice: let the customer’s words sell the product.


    Slide 8 — Customer Outcomes

    Three simple bullets with bold phrasing: faster answers, more questions, shorter waits. Clean and simple, designed for memorability.


    Slide 9 — Founding Team

    Classic team slide: portraits, names, and pedigrees (Princeton, Citadel, Carnegie Mellon). Relies on institutional logos and prestigious backgrounds. Standard but effective design choice for credibility.


    Slide 10 — Roadmap

    Forward-looking checklist: scaling team, customers, capabilities. Less visual, more functional. Frames the ask (next slide) by showing execution plan.


    Slide 11 — Fundraise

    One sentence: “We are raising $4m to build the natural language interface for data.” Black background, bold type. Direct, investor-friendly, no clutter.


    Slide 12 — Closing

    “Thank you!” with contact email. Simple closing slide. Clean white background leaves a professional impression and directs follow-up action.

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