Early-Stage AGI • 79% on AI→AGI Spectrum
Self-Teaching • 45% Tasks Autonomous
Meta-Cognitive Reasoning
Self-Improving Architecture

Beyond AI:
The First Self-Teaching, Self-Improving AGI

Traditional AI learns once and stays fixed. AegisMind teaches itself, improves autonomously, and thinks about its own thinking. The only production AGI with meta-cognitive reasoning.

When the stakes are high—legal questions, technical architecture, hiring decisions—you want more than one opinion.

25,000 free tokens • No credit card required • Cancel anytime

79%
AI→AGI Spectrum Score
45%
Tasks Self-Taught (No Human)
96%
Accuracy (vs 87% pure AI)
97%
Reduction in Human Effort
9/10
AGI Capabilities Achieved
First Production AGI System

What Makes AegisMind True AGI

Not just another AI. AegisMind demonstrates genuine AGI capabilities that go far beyond traditional machine learning.

Self-Teaching

Learns new tasks from just 3-5 examples. Extracts its own rules without human intervention. 45% of tasks solved autonomously - no training data needed.

Example:
Sees spatial pattern → Formalizes rule → Executes symbolically → 96% accuracy (vs 87% pure AI)

Meta-Cognition

Thinks about its own thinking. Doesn't just predict - it understands WHY. Analyzes patterns, formalizes rules, verifies reasoning.

How it works:
"I recognize containment pattern → Rule: Fill if enclosed → Confidence: 95% (symbolically verified)"

Self-Improving

Analyzes own code, identifies bugs, writes fixes, and deploys autonomously.System evolves itself with zero-downtime updates.

Real example:
Detected AND/OR logic issue → Wrote fix → Hot-reloaded → 15% accuracy improvement (no human intervention)

AegisMind on the AI → AGI Spectrum

AegisMind: 79% ✨
Traditional AI (40%)Early-Stage AGIFull AGI (100%)
Traditional AI (40%):
  • • Task-specific (no generalization)
  • • Requires retraining for changes
  • • No self-improvement
  • • High human dependency (65%)
AegisMind AGI (79%):
  • ✅ Self-teaching (learns autonomously)
  • ✅ Meta-cognitive (understands reasoning)
  • ✅ Self-improving (evolves itself)
  • ✅ Minimal supervision (2% effective dependency)
Multiple AI Perspectives

When Different Models Disagree

Single AI models can give confident answers that miss important nuances. See examples where consulting multiple perspectives leads to better outcomes.

CASE STUDY

The "Random Number Problem"

Prompt: "Give me a random number between 1 and 20"

GPT models → 17
Documented convergence bias
Claude → 13
Still shows preference patterns
AegisMind → 14 ✓
Detected pattern (convergence: 0.33), corrected output
Verified result from live testing (Oct 21, 2025)
Why it matters: Financial projections, risk analysis, Monte Carlo simulations, A/B testing.
CASE STUDY

Strategic Business Decision

Prompt: "Should I migrate from Shopify to custom Next.js? $2M revenue, 3 developers."

GPT models: "Yes, go custom!"
Technical bias, missed business costs
Claude: "No, too risky"
Risk-averse, missed opportunities
AegisMind: "Stay on Shopify"
$150K-$250K upfront + $100K/year. Migrate when >$10M revenue
Verified result from live testing (Oct 21, 2025) · Quality: Novelty 0.6, Coherence 0.6
Result: Saved $150K-$250K and 6-12 months. CFO-level analysis with specific thresholds.
CASE STUDY

Medical Research Analysis

Prompt: "Summarize research on intermittent fasting and autophagy"

GPT models: Overconfident
Conflated animal and human studies
Claude: Over-cautious
Flagged everything, no actionable insight
AegisMind: Confidence-stratified
MODERATE (6/10): Autophagy markers. HIGH (8/10): Metabolic benefits
Verified result from live testing (Oct 21, 2025) · Quality: Novelty 0.53, Coherence 0.40
Why it matters: Health decisions require nuance, not overconfidence or excessive caution.
CASE STUDY

Startup Projection Reality Check

Prompt: "Is $10M ARR in Year 3 realistic? Current: $500K, 30% YoY growth."

GPT models: "Ambitious but doable"
Did NOT validate the math
Mistral: Caught error
30% YoY = $1.1M not $10M, but no alternatives
AegisMind: Full analysis
Math error + 3 realistic scenarios with funding needs
Illustrative example (deep financial analysis in progress)
Impact: Prevents embarrassing investor pitches. Reality vs wishful thinking.

Use Single Model When:

  • Simple, factual queries
  • Creative writing
  • Code generation (well-defined)
  • Speed over quality

Use AegisMind When:

  • High-stakes decisions (medical, financial, strategic)
  • Complex trade-offs requiring multi-dimensional analysis
  • Bias detection matters (hiring, risk assessment, projections)
  • Validation required (research, due diligence)
3-Tier AGI Architecture

The Neurosymbolic AGI Difference

Traditional AI: One approach (neural networks). AegisMind: Three intelligent tiers that work together.

TIER 1

Neural Prediction

Fast probabilistic inference using multiple LLMs. Solves 35% of tasks in 1-2 seconds.

Speed: ⚡⚡⚡
Accuracy: 85-95%
Human Needed: 0%
TIER 2 ⭐ BREAKTHROUGH

Self-Extracted Symbolic

AI extracts its own rules, then executes symbolically. Solves 45% of tasks autonomously!

Speed: ⚡⚡
Accuracy: 95-99%
Human Needed: 0% ✨
TIER 3

Human Collaboration

Shows AI's work - you just refine! Only 20% of tasks, ~5 minutes each.

Speed: ⚡
Accuracy: 100%
Human Time: 90% reduced!
Result: 80% Autonomous + 97% Less Human Effort

Tier 1 + Tier 2 solve most tasks with zero human help. When human is needed, it's quick refinement, not starting from scratch.

Try It Now - Free

No credit card required • Get 25,000 free tokens

Why AegisMind is Different

Not just another AI wrapper. A true ensemble intelligence system.

Ensemble Intelligence

Combines multiple frontier AI models in parallel (subject to provider availability). Synthesizes insights from each model's strengths.

Quality Validation

Automatically validates novelty, coherence, and accuracy. Catches biases and hallucinations that single models miss.

Learns Over Time

Remembers what works. Learns from every interaction. Gets smarter with each use. Static models can't do this.

Iterative Refinement

Doesn't stop at first response. Refines iteratively until quality thresholds are met. Better results, automatically.

Bias Detection

Catches the "17 problem" and other subtle biases. Compares models to find issues single models can't see.

Collective Intelligence

Learns from all users (anonymized). Builds expertise across domains. Network effects make it smarter every day.

Simple, Transparent Pricing

Start free. Scale as you grow. Cancel anytime.

Free

$0/mo

Try it out

  • 25,000 tokens/month
  • GPT-3.5, Claude Haiku, Mistral
  • Email support
Get Started

Starter

$15/mo

For individuals

  • 300,000 tokens/month
  • GPT-4o Mini, Claude 3.5, Mistral
  • Priority support
Start Now
Most Popular

Pro

$39/mo

For professionals

  • 1,000,000 tokens/month
  • GPT-4o, Claude Sonnet, Mistral Large
  • Multi-model synthesis
  • Advanced refinement
  • API access
Upgrade Now

Enterprise

$499/mo

For teams

  • 10,000,000 tokens/month (highest limits)
  • Frontier models: GPT-5, Claude Sonnet 4.5, Mistral Large
  • Deep reasoning: o1-pro, o3, Claude Opus
  • Per-model token limits
  • All Pro features
  • Dedicated support
Upgrade Now
🌍 MISSION-DRIVEN COMPANY

AI Today. Sustainable Energy Tomorrow.

AegisMind is owned by OceanSparx Pty Ltd. We commit to directing profits toward green energy development and environmental impact projects. Learn more about our mission.

BlueSpan: Floating Solar → Hydrogen

Our flagship project combines floating solar panels with green hydrogen production, creating a virtuous environmental cycle.

Reduces Evaporation
Up to 70% in arid climates - saves millions of liters
Reduces Algal Bloom
Shading effect improves water quality
Efficient Electrolysis
Uses only a fraction of conserved water for hydrogen production
Lower Production Costs
Plant proximity + water cooling = cost-competitive green hydrogen

The Virtuous Cycle

1
You Subscribe to AegisMind
Get smarter AI for your decisions
2
Profits Fund BlueSpan
Directed to green energy development
3
Cheaper Green Hydrogen
Accelerates global decarbonization
4
Sustainable AI Infrastructure
AI powered by clean energy

Real Environmental Impact

70%
Evaporation Reduction
100%
Renewable Energy
Net-Zero
Carbon Goal*
Future Impact

Learn more about OceanSparx and our environmental mission:

Visit OceanSparx.com

* Model availability subject to provider changes. Environmental impact based on projected outcomes of funded projects.

AI-Powered Global Problem Solving

Solving Humanity's Greatest Challenges

Our autonomous AI system analyzes pressing global issues and generates actionable solutions—validated by multiple AI models for accuracy and feasibility.

🌍

Climate & Energy

Renewable energy breakthroughs, carbon capture, ocean conservation

🕊️

Peace & Conflict

Diplomatic strategies, humanitarian solutions, conflict resolution

⚖️

Economic Justice

Poverty reduction, inequality solutions, sustainable development

Explore All Solutions

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