AI Infrastructure for Engineering Leaders
Build AI systems that scale with context, maintain consistency, and deliver reliable decisions—without sacrificing engineering velocity.
Real-Time Reasoning Dashboard
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
Engineering-First AI Infrastructure
ZUNFT.AI provides the missing infrastructure layer that makes AI systems production-ready for engineering teams.
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 Challenge You're Facing
❌ Inconsistent AI Behavior
Your AI agents make different decisions in similar contexts, making them unreliable for production use. You spend more time debugging edge cases than building features.
❌ Context Doesn't Scale
Cramming everything into prompts hits token limits and degrades performance. Your team is stuck manually maintaining fragile prompt templates.
❌ Black Box Decision-Making
You can't explain why your AI made a decision, making it impossible to debug, audit, or improve. Stakeholders don't trust the system.
❌ No Learning Infrastructure
Every mistake gets repeated because your system has no way to learn and improve from production experience without full retraining.
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
Pre-Built Intelligence Domains
ZUNFT.AI includes production-ready intelligence domains you can deploy immediately, plus custom domains tailored to your business context.
KPI Governance Intelligence
zunftAI Domain
Prevent catastrophic metric failures like Facebook's engagement optimization or 2008's VaR models. Analyzes AI-generated KPIs for philosophical alignment before deployment.
Business Validation Intelligence
Real Progress Framework
Evidence-based startup validation using Real Progress Framework. Tracks killer assumptions, orchestrates validation experiments, assesses evidence quality.
Financial Planning Intelligence
Model Generation & Validation
Automated financial model generation with constraint validation. Scenario analysis, revenue/cost projections, sensitivity testing with full transparency.
Your Custom Domain
Tailored Intelligence
We build domain-specific intelligence tailored to your business context. Your reasoning frameworks, your business logic, your competitive advantage.
Ready to Deploy Production-Grade AI Intelligence?
Our proven engagement process takes you from scoping to production deployment in 8 weeks.
30-Minute Scoping Call
We'll analyze your AI use case and recommend the right intelligence architecture for your needs.
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 before full commitment.
Production Rollout (Week 5-8)
Full deployment with observability, monitoring, and team training. Your system is production-ready.