Building the Infrastructure for Autonomous AI Agents & Digital Skills
01
Target (12 months): 100–300 agents
Target (24 months): 1,000+ agents
Active Autonomous Agents
02
Target (12 months): 250–500 skills
Target (24 months): 2,000+ skills
Reusable AI Skills Created
03
Target (12 months): 5–10 million memory events
Target (24 months): 50+ million memory events
Persistent Memory Operations
04
Target (12 months): 200–500 deployments
Target (24 months): 3,000+ deployments
Marketplace Transactions & Deployments
AIdeo Tech
AIdeo is a deep-tech startup building a foundational platform for autonomous AI agents, digital skills, and persistent machine memory.
We are creating the infrastructure that enables AI agents — and in the future, physical robots — to learn, store, reuse, and monetize skills across industries.
Our mission is to turn AI from isolated tools into scalable, reusable, and economically productive entities.
ABOUT US
AIdeo Traction
✔️ Core platform architecture defined (agents, skills, memory layer)
✔️ Clear positioning vs. existing AI agent tools & frameworks
✔️ Initial interest from accelerators & innovation hubs
✔️ Early validation of AI skills marketplace demand
✔️ Active discussions with:
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AI engineers & system architects
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Enterprise automation use-cases
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Robotics & digital-twin aligned partners
HIGHLIGHTS
AIdeo Roadmap
Objective: Build the core infrastructure
-- AI agent framework (modular & autonomous)
-- Digital skills standard (definition & interfaces)
-- Persistent memory layer (cross-agent)
-- Internal prototype & sandbox environment
-- First closed-loop agent workflows
PHASE 1 - FOUNDATION (0-6 MONTHS)
Objective: Enable external adoption
-- AI skills marketplace (publish/discover / license)
-- Developer onboarding & documentation
-- Enterprise-grade security & deployment options
-- First pilot customers (enterprise & system integrators)
-- API & integration layer
PHASE 2 - Platform & Marketplace (6–12 months)
Objective: Become an infrastructure layer
-- Advanced agent collaboration & orchestration
-- Industry-specific skill libraries
-- Robotics & digital twin compatibility
-- Global partner ecosystem
-- Revenue scaling & platform effects
Phase 3 – Scale & Expansion (12–24 months)
AIdeo Milestones
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Functional MVP (agents + skills + memory)
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First real-world use-case deployment
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Strategic accelerator/hub partnership
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Pre-seed / seed fundraising round
Short-Term (Next 3–6 Months)
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Marketplace live with first external contributors
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Paying enterprise customers
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Strong developer adoption signals
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Strategic industry partnerships
Mid-Term (6–12 Months)
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Platform as a standard layer for AI agents
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Expansion into robotics & autonomous systems
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Global AI skills economy
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Category-defining position
Long-Term (12–36 Months)