Anthropos AI: Pitch Deck for Long-Term Memory Talent Sourcing
Discover how Anthropos AI uses autonomous agents and 'Memory Cores' to revolutionize technical recruiting and eliminate amnesic search patterns.
Anthropos AI
The People-Search Agent with Long-Term Memory
Building the first recruiting engine that remembers what you actually want.
The Problem: Amnesic Search
Zero Retention: Every search on LinkedIn or Recruiter starts from scratch. The system forgets your preferences the moment you close the tab.
Keyword Fatigue: "Designer" means something different to a B2B SaaS startup vs. a fashion brand, but current search engines treats them identically.
Wasted Repetition: Recruiters spend 60% of their time screening candidates that look like profiles they already rejected yesterday.
The Solution: Anthropos Remembers
An autonomous agent that builds a dynamic 'Memory Core' for every user, refining its understanding of 'the right person' with every interaction.
Adaptive Context
Learns nuance. If you reject 'Enterprise candidates' for a startup role, it remembers that preference permanently.
Feedback Loop
Every 'Accept', 'Reject', or 'Interview' signal updates the core weights in real-time.
The Cognitive Loop
1. Ingest: Reads job description + historical team data.
2. Source: Autonomous agent scans open web & databases.
3. Filter: Applies Long-Term Memory to rank candidates.
4. Learn: User action (thumbs up/down) updates the Memory Core.
Initial Wedge: Technical Recruiting
Why RecTech First?
High Volume: Thousands of profiles reviewed per hire.
Subjective Data: resume fit is often 'gut feel'—perfect for AI memory training.
Clear ROI: Direct correlation between faster sourcing and revenue (for agencies) or reduced burn (for startups).
Market Opportunity
Global Online Recruitment Market Size (in Billion USD)
SAM: $8.5B (AI-Enabled Recruitment Tools)
Competitive Landscape
Context Retention
Autonomy
LinkedIn / Indeed
High Data, Zero Memory
Traditional ATS
Static Database
Anthropos: Full Memory + High Autonomy
Business Model
SaaS Platform Fee
Monthly subscription per agent seat (Recruiter/SDR).
Usage Intelligence
Tiered pricing based on memory storage size and search volume.
Enterprise Integrations
Custom connectors for ATS (Greenhouse, Ashby, Lever) & CRM sync.
Master Plan
Phase 1: Recruiting Agent
Validate 'Memory Core' technology with high-volume technical recruiters.
Phase 2: Sales (SDR) Agent
Expand into Lead Generation. Identify ideal customers based on historical closed-won patterns.
Phase 3: Universal People Search
General purpose 'relationship agent' for investors, journalists, and networking.
The Ask
Raising $1.5M Pre-Seed
18 Months Runway
Goal: Launch Beta & Reach $100k ARR
- pitch-deck
- ai-recruiting
- talent-sourcing
- hrtech
- startup
- autonomous-agents
- technical-recruiting