Platform
Entrepreneurial teams. Supercharged through one platform.
Replace fragile prompts and disconnected tools with structured, explainable AI.
70%
of companies use AI tools
10%
see real returns
The problem isn't the AI — it's the missing intelligence architecture.
Integrating into 700+ applications
Platform Preview
Real-time reasoning. Full control.
Monitor PRO-Protocol decision-making in real-time. See every reasoning chain, track performance metrics, and debug decisions with full transparency.
Live Reasoning Traces
Watch decisions unfold step-by-step with full context and confidence scores.
Performance Analytics
Track consistency, latency, and decision quality across all contexts.
Debug Any Decision
Click into any decision to see the complete reasoning chain and context used.
Infrastructure
Engineering-first AI infrastructure.
Four layers deep.
From structured reasoning to runtime observability — every layer designed for production reliability.
PRO-Protocol: Structured Reasoning
Replace fragile prompts with a formal reasoning protocol. Get consistent, explainable decisions every time.
- Deterministic decision-making within bounded contexts
- Full reasoning chain capture for debugging and auditing
- Version-controlled reasoning frameworks
Intelligence Layer: Context at Scale
Move context out of prompts and into a dedicated infrastructure layer that scales with your system.
- Hierarchical context management (purpose, knowledge, reality)
- Dynamic context injection based on reasoning needs
- No token limit constraints on contextual information
Cognitive Loop: Continuous Learning
Build systems that learn from production without retraining. Mistakes become learning opportunities.
- Automatic outcome tracking and reflection
- Framework refinement based on real-world performance
- A/B testing for reasoning strategies
Observability & Control
Full visibility into AI decision-making with engineering-grade tooling for debugging and monitoring.
- Reasoning chain visualization and debugging
- Performance metrics and decision quality tracking
- Runtime controls and guardrails
The Breaking Point
The challenge you're facing.
Inconsistent AI Behavior
Your AI agents make different decisions in similar contexts, making them unreliable for production use.
Context Doesn't Scale
Cramming everything into prompts hits token limits and degrades performance.
Black Box Decision-Making
You can't explain why your AI made a decision, making it impossible to debug, audit, or improve.
No Learning Infrastructure
Every mistake gets repeated because your system has no way to learn from production experience.
Enterprise Ready
Built for production at scale.
Deployed Across Industries
Financial Services
Risk assessment & regulatory compliance
B2B SaaS
Product intelligence & validation systems
Healthcare
Clinical decision support systems
Enterprise
KPI governance & strategic planning
Enterprise-Grade Infrastructure
95% Test Coverage
Comprehensive automated testing across all domains
Multi-Tenant Architecture
Supporting concurrent enterprise deployments
Enterprise Security
VPC Service Controls, Binary Authorization, SOC 2 ready
Observable Intelligence
Real-time friction detection and performance monitoring
Domains
Pre-built intelligence domains. Ready to deploy.
Production-ready intelligence domains you can deploy immediately, plus custom domains tailored to your business context.
zunftAI Domain
KPI Governance Intelligence
Prevent catastrophic metric failures. Analyzes AI-generated KPIs for philosophical alignment before deployment.
Use case: SaaS companies using AI for strategic metrics and performance measurement
Real Progress Framework
Business Validation Intelligence
Evidence-based startup validation. Tracks killer assumptions, orchestrates validation experiments, assesses evidence quality.
Use case: B2B founders and product teams validating product-market fit
Model Generation & Validation
Financial Planning Intelligence
Automated financial model generation with constraint validation. Scenario analysis, revenue/cost projections, sensitivity testing.
Use case: Finance teams building AI-assisted planning and forecasting systems
Tailored Intelligence
Your Custom Domain
We build domain-specific intelligence tailored to your business context. Your reasoning frameworks, your business logic, your competitive advantage.
Customer intelligence, risk assessment, compliance monitoring, strategic decision support
Solutions
Featured Reasoning Frameworks
Ethical Decision Making
Framework for navigating ethical dilemmas using consequentialist, deontological, and virtue ethics perspectives.
- Multi-perspective ethical analysis
- Stakeholder impact assessment
- Value alignment verification
Knowledge Validation
Systematic approach to validating knowledge claims and assessing the reliability of information sources.
- Source credibility assessment
- Reasoning chain validation
- Uncertainty quantification
Context Resolution
Framework for understanding and resolving ambiguity in complex, multi-layered contexts.
- Contextual layer mapping
- Implicit assumption identification
- Meaning disambiguation
Purpose-Driven Reasoning
Purpose-driven framework for aligning actions with intended goals and desired outcomes.
- Goal hierarchy analysis
- Means-ends coherence checking
- Unintended consequence prediction
Dialectical Synthesis
Framework for reconciling opposing viewpoints and synthesizing novel solutions from contradictions.
- Thesis-antithesis identification
- Synthesis generation
- Transcendent solution finding
Pragmatic Validation
Real-world testing framework for validating ideas through practical application and feedback.
- Practical consequence analysis
- Iterative refinement loops
- Empirical validation testing
From scoping to production. In 8 weeks.
Our proven engagement process takes you from initial scoping to full production deployment.
30-Minute Scoping Call
We analyze your AI use case and recommend the right intelligence architecture.
Technical Architecture Review
Our team designs your reasoning frameworks and integration plan (2-3 days).
Proof of Value (Week 1-4)
Deploy to your dev environment, test against your data, validate improvements.
Production Rollout (Week 5-8)
Full deployment with observability, monitoring, and team training.