SeedBacked by Ben Lang and others

Alta AI

Building AI for Sales Agents

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Alta AI

Description: Building AI for Sales Agents

Investors: Ben Lang, Target Global

Reference Link to Deck: https://www.businessinsider.com/alta-funding-pitch-deck-sales-agents-ai-workforce-2025-3?utm_source=linkedin&utm_campaign=business-sf&utm_medium=social#-16

Stage: Seed

Slide-by-Slide Content

Slide 1 — Title

  • Alta
  • The #1 Data-Driven AI Revenue Workforce
  • Subhead: Leverage AI and Data to drive revenue growth
  • Visual: AI agent avatars in astronaut suits.

  • Slide 2 — Team

  • Stav Levi-Neumark (CEO): First engineer at [monday.com](http://monday.com/), built “Big Brain” BI platform; led growth, [B.Sc](http://b.sc/). Comp Sci & Stats, Hebrew Univ.
  • Mor Shabtai (COO): Co-founded VC-backed startups incl. Xperiti (acquired by Ipsos); ex-Israeli Air Force captain (analytics); MBA NYU.
  • Tom Hoffen (CTO): Ex-tech lead at [monday.com](http://monday.com/) ($500M billing system); co-founder/CTO of WeDo (100K users); MBA + [B.Sc](http://b.sc/)., Hebrew Univ.

  • Slide 3 — RevOps Overview

  • RevOps connects Marketing, Sales, CS
  • Marketing: Increase lead volume & quality
  • Sales: Build pipeline, close larger deals
  • CS: Enhance satisfaction & lifetime value
  • Goal: Drive growth + hiring plans from revenue data.

  • Slide 4 — Driving Sustainable Growth

  • Full-funnel flow across:
  • Marketing → SDRs → AE → Implementation → CS → Account Management.
  • RevOps as the backbone across acquisition, qualification, commitment, onboarding, retention, and expansion.

  • Slide 5 — Mission

  • “10x Revenue Teams with AI & Data”
  • Roles detailed with responsibilities, data sources, and goals:
  • Outbound SDR, Inbound SDR, AE, Implementation, CS, Account Mgmt.
  • Each role enhanced with AI for better outcomes.

  • Slide 6 — Strategy to Execution Loop

  • Strategize → Implement → Measure & Learn → Build Strategy
  • Data inputs: market research, ICP research, conversion analytics, product data, KPIs.
  • Goal: Identify bottlenecks + highlight insights.

  • Slide 7 — Strategy Execution Loop

  • Analytics & Insights → Tactics & Execution → Grow Revenue
  • Example:
  • Insight: 50% of won deals last month came from hospitality.
  • Recommended: Target hospitality execs in NY.
  • Personalized email execution.
  • Results: +133% revenue growth.

  • Slide 8 — Meet Katie (First Agent)

  • Alta’s AI SDR agent
  • Katie identifies prospects, sends personalized LinkedIn/email messages.
  • Books meetings 24/7, boosting replies + engagement.
  • Example: James Satter (VP Sales, Dive) and Max Natad (CRO, Nike) meetings booked.

  • Slide 9 — Before vs After

  • Before: Dozens of disconnected SaaS tools (Cognism, Zoominfo, Apollo, Outreach, Tableau, etc.)
  • After: Unified AI revenue team replacing fragmented stack.

  • Slide 10 — Why Agents?

  • Benefits:
  • Real-time self-learning
  • Zero latency, 24/7 work
  • Operate at scale
  • Smart CRM sync
  • Leverage external & internal data
  • Multilingual capabilities

  • Slide 11 — How Does It Work? (Part 1)

    1. Find Buying Signals: CRM, HubSpot, Salesforce, website visits, LinkedIn posts, funding rounds, job changes.

    2. Define ICP: Contact info, role, region, pain points.


    Slide 12 — How Does It Work? (Part 2)

    1. Craft Personalized Email: AI writes contextual messages with data signals.

    2. Always Improve: System analyzes conversion rates, provides insights + recommended actions.


    Slide 13 — Business Model

  • Today: Priced as “Agent Salary.”
  • Tomorrow: Move to value-based pricing (work/tasks, outcomes, revenue impact).

  • Slide 14 — Why Katie First?

  • SDR role chosen because:
  • Repetitive tasks
  • Budgeted teams
  • Entry-level role
  • Huge market (2.74M SDRs in U.S. across industries)

  • Slide 15 — Bottom Line Impact

  • AI agent-led activities replace manual SDR work.
  • Outcomes:
  • 4x increase in qualified meetings
  • +15% win rate
  • 20 hours/week saved from manual tasks

  • Slide 16 — Q&A

  • Questions
  • Visual: Alta agent avatars.

  • Article-Style Walkthrough

    The Alta deck positions the company as the #1 data-driven AI revenue workforce. Their mission: to replace manual revenue operations with AI agents that work 24/7, integrate deeply with CRM systems, and continuously optimize outcomes.

    The deck begins with the founding team’s credibility: three [ex-monday.com](http://ex-monday.com/) leaders (Stav, Mor, Tom) with deep expertise in BI, analytics, and large-scale SaaS infrastructure.

    Alta frames the challenge through RevOps, aligning marketing, sales, and customer success into one integrated system. Their model enhances every role in the funnel — SDRs, AEs, implementation, CS, and account managers — with AI-driven insights and automation.

    Central to this is Katie, Alta’s first AI agent. Katie acts as an SDR, prospecting, detecting buying signals, defining ICPs, sending personalized outreach, and booking meetings around the clock. Unlike fragmented SaaS stacks, Alta offers a unified AI “team” that learns in real time, scales infinitely, and integrates with CRMs like Salesforce and HubSpot.

    The workflow:

    1. Detect buying signals (website visits, LinkedIn activity, funding news).

    2. Define ideal customer profiles with verified data.

    3. Craft personalized outreach emails.

    4. Continuously improve based on analytics and conversion feedback.

    Alta’s business model starts with a salary-like subscription for AI agents, but evolves toward outcome-based pricing tied to tasks, success metrics, and revenue impact.

    The market entry point — SDR roles — makes sense due to their repetitive, budgeted, entry-level nature and massive TAM (2.7M+ SDRs in the U.S.).

    The deck closes with metrics: 4x more qualified meetings, 15% higher win rates, and 20+ hours saved weekly per rep. Alta positions itself as the future of AI-native revenue organizations.

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