SeedBacked by Sequoia and others

Artisan AI

Building AI SDRs

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Artisan AI

Description: Building AI SDRs

Investors: Sequoia, Y Combinator

Reference Link to Deck: https://drive.google.com/file/d/1uyx8vsjTHRYsgftSXNzeNZSy4sJslrJH/view

Stage: Seed

Slide 1 — Title

  • Artisan
  • Branding slide with company logo

  • Slide 2 — We’re Creating Advanced Digital Workers

  • “We’re creating advanced digital workers”
  • Artisans can be instantly onboarded, do productive work, learn over time, interact with team members and so much more

  • Slide 3 — Current Digital Workers Suck

    Title: People Have 2 Bad Options

    1. Chat-based solutions (like ChatGPT) → text outputs only, no actions

    2. Robotic Process Automation tools → narrow, cold, robotic tasks


    Slide 4 — We’re Creating the First True Digital Workers That Feel Like Colleagues

    Steps:

    1. Train a GenAI chatbot to understand a specific role

    2. Integrate 100s of apps so Artisans can do productive work

    3. Artisans learn & self-improve once deployed


    Slide 5 — Artisans Have Intuitive Dashboards

  • Each agent has a different dashboard unique to its skillset
  • Example shown: analytics, CRM, email automation, recommendations

  • Slide 6 — You Don’t Have to Use the Dashboard

  • “All Artisan features are available via chat”
  • Slack & Teams integration
  • Makes Artisans feel like colleagues, not SaaS products

  • Slide 7 — Artisans Seem Human

  • Each Artisan has a unique face, name, skillset & memory
  • Over time, Artisans learn colleagues, evolve, and adapt
  • They understand company workflows by analyzing feedback & group chats

  • Slide 8 — Agents Learn & Improve Over Time

  • Individual Agent Improvement:
  • Take user feedback into account
  • Understand company-specific workflows
  • Systemwide Improvement:
  • Frequent updates with new tech, training data, skills, and improved models

  • Slide 9 — Video Call With Agents & Iteratively Solve Problems

  • Agents join video calls
  • Complete tasks and solve problems live
  • Sentiment detection via tone of voice & facial recognition to improve responses

  • Slide 10 — Agents in Our Product Roadmap

    Roles shown:

  • Executive Assistant
  • Graphic Designer
  • Sales Rep
  • Marketing Manager
  • Recruiter
  • Investment Banking Analyst
  • CFO
  • Data Entry Clerk
  • (And more to come)


    Slide 11 — Our Fundraising Roadmap

  • Pre-Seed ($2–4M): build team, release 3 Artisans, refine roadmap, launch closed beta App Store
  • Series A: expand specialties, release 10 Artisans, custom LLMs, full App Store
  • Series B: achieve scale, replicate SaaS features across verticals, launch 100s of Artisans in App Store

  • Slide 12 — This is the Biggest Market in the World: Labor

  • Planned AI agents operate in roles costing US companies $10T+ annually
  • Breakdown:
  • $7B → copywriters
  • $21B → marketing managers
  • $154B → B2B sales reps

  • Slide 13 — Building Our Moat

  • Agents mold to company workflows → sticky, hard to replace
  • Viral loop effects
  • Proprietary data improves models
  • Extraordinary founding team
  • Private LLMs ease privacy concerns
  • Agents can’t be transferred once created on platform

  • Slide 14 — Product Roadmap (Timeline)

  • Nov 2023: Release Sales Rep Artisan
  • Jan 2024: Transition to custom LLM
  • Mar 2024: Release 2nd Artisan + calling feature
  • Apr 2024: Full autopilot mode
  • May 2024: Release 3rd Artisan
  • July 2024: App Store beta

  • Slide 15 — Competitive Landscape

    Comparison table: Artisan vs ChatGPT, Adept, UiPath

  • Strengths unique to Artisan: AI workers, role-specific, action-taking, Slack/Teams chat, calls, self-improves, molds to user

  • Slide 16 — This is the Next Industrial Revolution

  • Typical cost for a sales rep contacting 1,000 prospects: $7,000, 2 hours for 100 emails
  • Cost for Artisan agent: $250, 30 seconds for 100 emails

  • Slide 17 — Digital Workers Will Skyrocket Productivity

    1. Work 24/7

    2. Cost significantly less

    3. Churn = 0%

    4. Instantly onboarded

    5. No burnout

    6. Superhuman attention-to-detail


    Slide 18 — We Plan to Become the App Store for AI Agents

  • Developers create agents via web tool
  • Agents published to App Store (Artisan takes 30% commission)
  • Users browse, review, and subscribe to agents

  • Slide 19 — We’re Not Just Creating Digital Workers, We’re Replacing SaaS

  • Each Artisan dashboard has vertical-specific features
  • Reduces need for SaaS tools like HubSpot, Salesloft, Chili Piper, Calendly

  • Slide 20 — Meet Ava, the Sales Rep Artisan

  • Available for hire in private beta starting November
  • Sends intent-driven outbound emails at scale
  • Responds to questions autonomously
  • Better feature stack than outbound sales tools
  • Self-onboards after short chat
  • Self-improves at superhuman rate

  • Slide 21 — Closing Slide

  • Artisan logo and branding

  • Walkthrough

    The Artisan pitch deck positions the company as building the first true digital workers — AI agents that feel more like colleagues than tools.

    The problem is clear: current solutions either output text (ChatGPT) or rigidly automate repetitive tasks (RPA). Neither solves the need for flexible, action-oriented digital teammates. Artisan’s solution: role-specific AI agents called “Artisans” that can be trained, integrated into workflows, and continuously self-improve.

    Artisans come equipped with dashboards tailored to their role (sales, design, finance, recruiting, etc.) but can also work seamlessly inside Slack or Teams, making them feel embedded in daily work. They learn over time, adapt to company-specific processes, and even appear human with unique names, faces, and memories. They can join video calls, detect sentiment, and collaborate live with teams.

    The company’s product roadmap starts with launching role-specific Artisans (like a Sales Rep agent, Ava) and scaling toward an App Store for AI agents, where developers can publish agents and companies can subscribe. Artisan takes a 30% cut, aiming to build a marketplace with 100s of specialized agents.

    The market opportunity is enormous — labor costs exceeding $10T annually in the US alone, with billions spent on copywriters, marketers, and sales reps. Artisan argues that its digital workers can deliver a step-change in productivity, reducing costs dramatically (e.g., contacting 1,000 prospects drops from $7,000 and hours of work to $250 and seconds).

    The moat relies on stickiness: once agents adapt to a company’s workflow, they’re hard to replace. Proprietary training data, custom LLMs, and viral adoption loops deepen defensibility.

    Competitive analysis places Artisan as uniquely capable across action-taking, integrations, and adaptability compared to ChatGPT, Adept, or UiPath.

    The narrative culminates with the introduction of Ava, the Sales Rep Artisan, set to launch in beta. Ava can autonomously send personalized outbound emails, respond to questions, self-onboard, and improve at a superhuman rate.

    The deck closes with Artisan’s ambition: to not only create the most advanced digital workers but to replace the need for SaaS products entirely, reshaping how teams scale and work.

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