Corpus
Curated and full-source access
Plan-based access controls determine whether a user sees a curated subset, the full corpus, or custom enterprise sources.
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Synthesis
Custom venture briefs
Convert research candidates into decision-ready briefs with the constraints, risks, and commercial angles a professional audience needs.
Workflow
From signal to suite
Carry intelligence into saved suites, MVP planning, exports, and API-enabled workflows according to each account tier.
Scoring Engine
NOVA Score™
The NOVA Score is our primary commercial viability signal, computed from four weighted axes. Every venture candidate receives a score from 1.0 to 10.0, enabling objective comparison across your pipeline.
Utility25%
Practical usefulness — does it solve a real problem?
Commercial30%
Market potential — can it generate revenue?
Assessment Framework
Quad-Axis Viability Matrix
QAVM is the structured evaluation framework beneath every NOVA Score. Each invention is rated across four independent dimensions, and the weighted composite becomes your actionable signal.
QAVM
- UtilityWeight: 25%
- Practical usefulness — does it solve a real problem?
Venture Intelligence
NOVA-powered scoring & ranking
Every discovery is scored across the Quad-Axis Viability Matrix — Novelty, Utility, Feasibility, and Commercial potential. The weighted composite NOVA Score becomes your primary signal for prioritization, portfolio decisions, and funding matches.
Quad-Axis Viability Matrix
NoveltyWeight 20% · 7.7 avg
UtilityWeight 25% · 8.1 avg
FeasibilityWeight 25% · 7.7 avg
CommercialWeight 30% · 7.2 avg
Cognitive Layer
MetaBrain intelligence engine
MetaBrain is the cognitive layer that continuously analyzes eight context streams — core directives, learned skills, codebase changes, venture knowledge, user journeys, proposal history, platform health, and frontier research — to identify gaps between current discoveries and platform capabilities. It then synthesizes strategic proposals for improvement, creating a feedback loop that elevates your entire venture portfolio.
Eight context streams
MetaBrain synthesizes directives, learned skills, codebase evolution, venture knowledge, user journeys, proposal history, platform health, and live research into a unified understanding of what to improve next.
Core directives
Learned skills
Codebase changes
Venture knowledge
User journeys
Execution Engine
MetaForge
MetaForge is the autonomous execution engine that transforms strategic proposals into real code changes, with human oversight at every decision point. It bridges the gap between MetaBrain's cognitive insights and executable implementation, ensuring every improvement is verified, safe, and production-ready.
1
01
Propose
MetaBrain generates a structured proposal describing the improvement, its expected impact, and the plan for implementation.
2
02
Authorize
Proposals remain pending until a human reviews and authorizes the change. No code is modified without explicit approval.
3
Autonomous Framework
HyperAgents architecture
HyperAgents is the metacognitive framework that enables autonomous self-improvement. It wraps MetaBrain, MetaCognition, and MetaForge into a unified system that periodically analyzes performance, evolves strategies, and applies improvements safely.
MetaCognitive system
Runs structured improvement cycles: analyze performance, generate strategies, evaluate risk, apply safely, archive.
Safety monitor
Validates every improvement before application. Enforces constraints, detects regressions, and manages interventions.