Introducing Olbrain
'The Machine Brain' for Autonomous AGI
The Cognitive Substrate providing Identity, Capabilities, and Boundaries—enabling 'epistemic Autonomy', 'Accuracy', and 'Accountability' <eA³> in AI Agents!
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Raise: Seeking $1.2M Pre-seed Round for 18-month runway till PMF.
What is Cognitive Substrate?
A cognitive substrate is the foundational system that:
- Supports the existence and functioning of an agent.
- Defines the agent's Identity, Abilities, and Boundaries.
- Provides the resources (data, computation, rules) that "nourish" the agent's cognition.
- Imposes constraints and mechanisms for "Accountability".
Why Cognitive Grounding Matters
Without a cognitive substrate, agents remain incomplete.
✅ Identity
Pick up where they left off—even weeks later
✅ Capabilities
Adapt to user behavior, environment, and feedback
✅ Boundaries
Behave responsibly within defined scope
These foundations enable:
1
CONTINUITY
Persistent memory of past experiences
2
TRUST
Predictable, coherent behavior
3
ACCOUNTANILITY
Traceable decisions
4
ALIGNMENT
Actions in sync with assigned objectives
"We've taught AI how to talk. Now we must teach it how to belong." — Graphlit
Solution: Olbrain – The Cognitive Substrate
Olbrain provides agents with:
CNE Protocol
Persistent Identity
Integrated Tooling
Capabilities like RAG and Function Calling
Boundary Constraints
Guardrails for alignment and accountability
Together, these deliver:
- Identity – Coherent, evolving self across time
- Capabilities – Embedded reasoning + tooling integration
- Boundaries – Defined operational scope
With Olbrain, agents don't just perform—they persist, adapt, and align.
Why Now?
1
LLMs are commoditized
But lack state and continuity
2
Agent wrappers are proliferating
But remain fragile and reactive
3
Enterprises demand autonomous agents with accountability
Not just chat interfaces
Olbrain is purpose-built to enable this shift: A cognitive substrate enabling Identity, Capabilities, and Boundaries—the foundation for persistent, capable, and accountable AGI agents.
Paradigm Shift:
Just as digital cameras made photo studios obsolete, Olbrain will make vertical agent shops redundant. Now, anyone can create and launch powerful AI agents without specialized talent.
Join us in shaping the future of Autonomous Agents.
Olbrain - Architecture
Our Machine Brain integrates:
GNF
[Global Narrative Frame]
Persistent graph-based memory
Umwelt
[Internal World Model]
Contextual understanding tied to agent's goal and memory
RbR
[Recursive Belief Revision]
Logic for updating beliefs
Together, they instantiate the CNE Protocol:
- Identity anchored in memory
- Reasoning aligned with past + future context
- Self-adaptation through feedback
Olbrain runs independently of LLMs or wrappers.
Backends:
- Neo4j-compatible memory graphs
- Symbolic logic validation
- LLM-agnostic APIs
UX Layer for Agent Deployment:
The Agent Studio - Alchemist
"From goal to agent in minutes."
↓70%
Dev-ops Cost
↑GTM
Speed for AI Workflows
6 Min
Time-to-Agent
6 week → 6 min
1
No-code CoF interface
Simply describe what agent should do
2
Auto-orchestrated backend
With memory, tools, and compliance
3
Seamless deployment
To WhatsApp, APIs, and web
Think of Alchemist as the dashboard, Olbrain as the engine.
Alchemist - How Does it Work?
So how does Alchemist actually work under the hood? It all starts when a user defines the Core Objective Function (CoF), which then kicks off a powerful, automated process:
Prompt Generation
Alchemist translates your goals into precise prompts for the AI agent.
RAG (Retrieval Augmented Generation)
The agent retrieves relevant information from your knowledge bases.
Fine-Tuning
The AI model is adapted for optimal performance on your specific tasks.
Function-Calling
The agent seamlessly integrates and utilizes external tools and APIs.
Testing & Validation
Rigorous testing ensures the agent performs as expected before deployment.
This comprehensive, automated process ultimately delivers a robust, production-grade AI Agent ready for deployment.
GTM: Road to 10,000 Agents by Mar 2028
Beachhead: CCF Businesses in India (Chat-Commerce First)
1
Phase I
(Now → Mar'26)
- Self-Serve Portal
- SI Co-sell (Sinch)
- 100 agents; ~30 merchants
2
Phase II
(Apr'26 → Mar'27)
- Shopify / WooCommerce Connectors
- 2,000 agents; ~650 merchants; $5M ARR
3
Phase III
(Apr'27 → Mar'28)
- OSS Community
- 10,000 agents; ~3,500 merchants; $28M ARR
OPPORTUNITY BY 2028:
AI Agents will power the future of work
"100M AI agents will complement fewer than 50,000 humans." — Jensen Huang, NVIDIA
$35B
TAM
Projected for AI Agentic platforms Globally
$10B
SAM
No-code/enterprise segment in high-adoption regions
$100M
SOM
Chat-Commerce-First (CCF) Businesses in India
$30M
Beachhead
High-volume CCF D2C and retail merchants in India
Media Recognition
1
2
Vision 2042: Scaling Cognitive Autonomy
1
2027
Olbrain 1.0: Machine Brain for Digital Agents
2
2032
Olbrain 2.0: Machine Brain for Embodied Agents
3
2042
Olbrain 3.0: Machine Brain for Analogue Agents
Mission: Build the cognitive substrate for a future filled with autonomous, accountable, and aligned AGI agents.
Thanks
INVEST IN OUR ROCKETSHIP
… It will take you to the moon and beyond
CONTACT: investment@olbrain.com