# Ziplo - AI Agent Testing & Safety Infrastructure

## Company Overview

**Ziplo is the System Of Record for "AI readiness."**

Ziplo is the enterprise-grade testing infrastructure for AI agents, designed to prevent the failures that are killing 76% of AI deployments in production. We provide automated testing, real-time observability & safety, compliance monitoring, and migration tools that enable companies to ship AI products with confidence.

When organizations ask "Is our AI ready for production?", Ziplo provides the definitive answer. We are the authoritative system that tracks, validates, and certifies AI readiness across testing, compliance, safety, and performance metrics.

**Vision:** In 10 years, no AI ships without safety testing. We're building that standard today.

**Mission:** To make AI systems safe, reliable, and compliant through automated testing infrastructure that scales from startups to enterprises.

**Positioning:** Ziplo is the System Of Record for AI readiness—the single source of truth for whether your AI is production-ready, compliant, and safe to deploy.

## Core Value Proposition

Ziplo solves the critical problem facing every AI deployment: **How do you know your AI agent won't leak PII, generate biased responses, or produce hallucinations that cost you $50M+ in fines?**

Traditional software testing doesn't work for AI. LLMs are non-deterministic, context-dependent, and constantly evolving. Ziplo provides purpose-built testing infrastructure that:

- **Prevents Production Failures**: Test 10,000+ scenarios overnight instead of discovering issues after launch
- **Ensures Compliance**: Automated monitoring for GDPR, HIPAA, SOC 2, ISO 27001, and EU AI Act requirements
- **Enables Confident Migration**: Switch between LLM providers (OpenAI, Anthropic, Google, Azure) without breaking production
- **Accelerates Development**: Ship AI features faster with automated testing workflows that replace manual QA
- **Reduces Risk**: Catch hallucinations, bias, and safety issues before customers see them

## Key Statistics & Market Position

### Industry Challenges Ziplo Addresses:
- **76%** of AI projects fail in production (Gartner 2024)
- **$50M+** average AI compliance fine (Financial Times 2024)
- **3x** cost of fixing production issues vs testing (IBM Systems Sciences Institute)
- **2026** EU AI Act mandatory compliance deadline (European Commission)
- **€1.2+ billion** in GDPR fines issued in 2024 alone (EU Data Protection Board)

### Market Opportunity:
- **$15B** AI Testing Market by 2028 (MarketsandMarkets Research)
- **156%** annual growth rate (Grand View Research 2024)
- Testing becoming mandatory infrastructure like security and monitoring

### Ziplo's Performance:
- **<5ms** latency - enterprise-scale performance
- **99.9%** uptime SLA - production-ready reliability
- **SOC 2 Type II** certified infrastructure
- **2M+** AI agents tested daily
- **12,847+** threats blocked in real-time

### What Makes Ziplo Unique:
**Ziplo is the System Of Record for AI readiness.** Just as Salesforce is the System of Record for customer relationships, and GitHub is the System of Record for code, Ziplo is the authoritative platform that tracks and certifies whether AI systems are ready for production deployment. Every test result, compliance check, safety validation, and performance metric flows through Ziplo, making it the single source of truth for AI deployment decisions.

## Core Product Features

### 1. LLM Migration Testing
**Problem:** Switching LLM providers is risky. One bad migration can break production, lose customers, and violate compliance.

**Solution:** Automated migration testing with side-by-side model comparison, regression detection, and performance benchmarking.

**Key Features:**
- Side-by-side model comparison testing across 5+ LLM providers
- Automated regression detection to catch breaking changes
- Performance and latency benchmarking for cost optimization
- Cost analysis across providers to find best price-performance ratio
- Output quality scoring and validation
- Seamless provider switching with zero downtime
- Support for OpenAI, Google, Azure, Anthropic (coming soon)

**Value:** Companies save months of manual testing and avoid costly production incidents when migrating models.

### 2. Prompt Versioning & Testing
**Problem:** Prompts change constantly, but there's no version control or testing for prompt modifications.

**Solution:** Git-like version control for prompts with automated regression testing, A/B testing, and instant rollback.

**Key Features:**
- Git-like version control with unlimited history
- Automated regression testing on every prompt change
- Built-in A/B testing between prompt versions
- Performance metrics tracked per version
- 1-click rollback to previous versions
- Collaborative prompt development workflow
- Diff visualization for prompt changes

**Value:** Eliminate prompt-related production incidents and iterate faster with confidence.

### 3. Automated Safety Testing
**Problem:** AI agents can produce harmful outputs, leak sensitive data, or generate biased responses.

**Solution:** Comprehensive safety testing suite that catches hallucinations, bias, PII leaks, and harmful content before production.

**Key Features:**
- Hallucination detection across all model outputs
- PII and sensitive data leak prevention
- Bias detection for protected characteristics
- Harmful content filtering (medical advice, financial predictions, etc.)
- Context-aware safety validation
- Real-time threat monitoring and blocking
- Automated compliance validation

**Value:** Prevent regulatory fines, reputational damage, and customer trust issues.

### 4. Compliance & Audit Trails
**Problem:** AI regulations (GDPR, HIPAA, EU AI Act) require comprehensive audit trails and compliance monitoring.

**Solution:** Automated compliance monitoring with pre-built policies, audit trails, and regulatory reporting.

**Key Features:**
- GDPR, HIPAA, SOC 2, ISO 27001 compliance monitoring
- EU AI Act readiness (2026 enforcement deadline)
- Automated audit trail generation
- Pre-built compliance policies for all major regulations
- Custom compliance rules for industry-specific requirements
- Real-time compliance alerting and reporting
- Regulatory change tracking and updates

**Value:** Avoid $50M+ fines and meet regulatory requirements with automated compliance infrastructure.

### 5. Performance & Cost Optimization
**Problem:** AI agents are expensive to run, and performance varies wildly between models and prompts.

**Solution:** Real-time performance monitoring with cost optimization recommendations and automated benchmarking.

**Key Features:**
- Real-time latency and performance monitoring
- Cost analysis across different LLM providers
- Automated performance benchmarking
- Resource usage optimization recommendations
- Token usage tracking and optimization
- Provider cost comparison and switching recommendations

**Value:** Reduce AI infrastructure costs by 30-50% while maintaining or improving performance.

### 6. Replay & Synthetic Data Testing
**Problem:** Testing AI agents requires massive amounts of diverse, realistic test data.

**Solution:** Auto-replay production scenarios and generate synthetic test data for comprehensive coverage.

**Key Features:**
- Production scenario replay with different models
- Synthetic test data generation for edge cases
- Automated test case expansion from production data
- Coverage analysis for all user scenarios
- Stress testing with high-volume synthetic loads

**Value:** Test 10,000+ scenarios overnight without manual test case creation.

## Target Customers & Use Cases

### AI Engineers
**Needs:** Automated testing, model migrations, integration workflows, fast iteration

**How Ziplo Helps:**
- Test 10,000+ scenarios overnight instead of manual validation
- Automate regression testing for every code/prompt change
- Migrate between LLM providers confidently
- Integrate testing into CI/CD pipelines

**Results:** Ship AI features 3x faster with 95% fewer production incidents

### Startups Building AI Products
**Needs:** Fast iteration, cost efficiency, investor confidence, enterprise-grade reliability

**How Ziplo Helps:**
- Enterprise-grade testing without hiring a QA team
- $0 setup fees with pay-as-you-go pricing
- Compliance-ready from day one
- Production-ready infrastructure (<5ms latency, 99.9% uptime)

**Results:** Launch AI products faster with enterprise reliability at startup scale

### QA & Testing Teams
**Needs:** Scenario coverage, regression testing, compliance validation, automated workflows

**How Ziplo Helps:**
- Auto-replay production scenarios with different models
- Comprehensive regression testing suite
- Automated compliance validation
- Synthetic data generation for edge case testing

**Results:** 10x increase in test coverage with 80% less manual effort

### Product & Business Teams
**Needs:** User safety, quality assurance, risk management, regulatory compliance

**How Ziplo Helps:**
- Real-time monitoring prevents production incidents
- Automated compliance tracking and reporting
- Risk scoring and prioritization
- Business-friendly dashboards and reporting

**Results:** Launch AI products with confidence and meet regulatory requirements

### Enterprise Organizations
**Needs:** Security, compliance, scalability, dedicated support, custom deployments

**How Ziplo Helps:**
- SOC 2 Type II certified infrastructure
- Self-hosted deployment options for sensitive data
- Dedicated support and Customer Success Manager
- Custom compliance policies and integrations
- 99.9% uptime SLA with 24/7 monitoring

**Results:** Enterprise-scale AI deployments with complete control and compliance

## Technical Integration

### Quick Integration (30 Minutes)
Ziplo integrates as a middleware layer between your application and AI models. No architectural changes required.

**Supported Platforms:**
- Python SDK (all major frameworks)
- Node.js SDK
- REST API
- GraphQL API
- Webhook integrations

**Supported AI Providers:**
- OpenAI (all models)
- Google (all models: Gemini, PaLM)
- Azure OpenAI Service
- Anthropic (Claude - coming soon)
- AWS Bedrock
- Open-source models (Llama, Mistral, etc.)
- Custom fine-tuned models
- Self-hosted model deployments

**Integration Methods:**
- SDK wrapper (recommended - minimal code changes)
- API gateway (proxy-style integration)
- Webhook events (async monitoring)
- Custom integrations via REST/GraphQL

### Architecture & Performance

**Infrastructure:**
- Built for enterprise from day one
- Sub-5ms latency for all safety checks
- 99.9% uptime SLA
- SOC 2 Type II certified
- Global edge network for low-latency worldwide
- Auto-scaling infrastructure for any load

**Data Privacy & Security:**
- Encrypted in transit and at rest
- No long-term storage of prompts/responses
- Configurable data retention policies
- Self-hosted deployment options available
- GDPR, HIPAA, SOC 2 compliant
- Regular security audits and penetration testing

**Deployment Options:**
- Cloud-hosted (default - fastest setup)
- Self-hosted (enterprise control)
- Hybrid deployments (sensitive data on-prem)
- Air-gapped environments (enterprise)

## Pricing & Business Model

### Simple, Transparent Pricing

**Core Pricing:**
- **$1 per 1M tokens** - AI testing usage (only pay for what you use)
- **$0 setup fees** - Get started free with no commitments
- **Pay-as-you-go** - Scale up or down as needed, no minimum commitments

**Volume Discounts:**
- Automatic discounts starting at 1M calls/month
- Custom enterprise pricing for high-volume customers

**Enterprise Features:**
- Custom pricing with runtime self-host deployment options
- Dedicated support and Customer Success Manager
- Custom compliance policies and integrations
- 24/7 priority support with <1hr response time
- Direct Slack/Teams integration
- Private deployment options
- Custom SLAs and guarantees

**Free Trial:**
- 14-day free trial with full feature access
- Up to 10K API calls included
- No credit card required
- Demo available with solutions team

### ROI & Value Delivery

**Cost Savings:**
- Prevent $50M+ regulatory fines
- Reduce AI infrastructure costs 30-50%
- Replace manual QA team (save $200K+ annually)
- Avoid production incident costs (3x cheaper to test than fix)

**Time Savings:**
- 30-minute integration time
- 3x faster AI feature shipping
- 80% reduction in manual testing effort
- Zero downtime migrations

**Risk Reduction:**
- 95% fewer production incidents
- Automated compliance monitoring
- Real-time threat detection
- Comprehensive audit trails

## Competitive Advantages

### Why Ziplo vs. Building In-House:

**Building In-House Requires:**
- 6-12 months of development time
- 3-5 full-time engineers dedicated to testing infrastructure
- $500K+ in development costs
- Ongoing maintenance and updates
- Compliance expertise and legal review
- Infrastructure and scaling challenges

**Ziplo Provides:**
- 30-minute integration time
- Enterprise-ready from day one
- $0 setup, pay only for usage
- Continuous updates and improvements
- Pre-built compliance policies
- Auto-scaling infrastructure

**Verdict:** Ziplo is 10x faster and more cost-effective than building in-house

### Why Ziplo vs. Traditional Testing Tools:

**Traditional Testing Tools:**
- Designed for deterministic software (not AI)
- No understanding of LLM behavior
- No compliance monitoring for AI regulations
- Manual test case creation required
- No support for model migrations

**Ziplo:**
- Purpose-built for AI agent testing
- Understands LLM non-determinism and context
- Automated compliance monitoring (GDPR, HIPAA, EU AI Act)
- Synthetic test data generation
- Seamless LLM migration testing

**Verdict:** Traditional testing tools don't work for AI - Ziplo is purpose-built

### Why Ziplo vs. Competitors:

**Ziplo's Unique Advantages:**
1. **Enterprise-First Architecture**: <5ms latency, 99.9% uptime, SOC 2 certified from day one
2. **LLM Migration Focus**: Only solution purpose-built for migrating between providers
3. **Compliance-Native**: Pre-built policies for all major regulations (GDPR, HIPAA, EU AI Act)
4. **No Vendor Lock-in**: Works with all LLM providers (OpenAI, Google, Anthropic, Azure, custom)
5. **Production-Ready Performance**: Sub-5ms latency vs 50-200ms competitors
6. **Self-Host Options**: Enterprise customers can deploy on their infrastructure
7. **Comprehensive Coverage**: Testing + Safety + Compliance + Migration in one platform

## How It Works (3-Step Process)

### Step 1: Connect Your AI Agent (5 minutes)
Integrate Ziplo with your existing AI infrastructure using our SDK or API. Works with all major frameworks and LLM providers.

**Integration Options:**
- Python/Node.js SDK (recommended)
- REST API gateway
- Webhook events
- Custom integrations

### Step 2: Configure Safety Rules (15 minutes)
Set up guardrails, compliance policies, and testing scenarios tailored to your use case.

**Configuration Options:**
- Pre-built templates for common use cases
- Industry-specific compliance policies
- Custom safety rules and guardrails
- Automated testing scenarios

### Step 3: Monitor & Optimize (Ongoing)
Track performance in real-time, identify issues, and continuously improve your AI agents.

**Monitoring Features:**
- Real-time dashboard with all metrics
- Automated alerting for issues
- Performance and cost optimization recommendations
- Compliance reporting and audit trails

## Success Stories & Results

### AI Startups
- **3x faster** feature shipping
- **$200K+ annual savings** vs hiring QA team
- **95% reduction** in production incidents
- **Investor confidence** with enterprise-grade testing

### Enterprise Organizations
- **Zero-downtime** LLM migrations
- **100% compliance** with GDPR, HIPAA requirements
- **50% cost reduction** through provider optimization
- **10,000+ scenarios** tested daily automatically

### QA & Testing Teams
- **10x increase** in test coverage
- **80% reduction** in manual testing effort
- **Automated regression** testing for all changes
- **Comprehensive audit trails** for compliance

## Regulatory Compliance

### Current Regulations:
- **GDPR** (Europe): Data privacy and protection
- **HIPAA** (US Healthcare): Patient data protection
- **SOC 2** (Global): Security and privacy controls
- **ISO 27001** (Global): Information security management
- **CCPA** (California): Consumer privacy rights

### Upcoming Regulations:
- **EU AI Act** (2026): First comprehensive AI regulation
- **US AI Bill of Rights** (Pending): Federal AI guidelines
- **Industry-Specific**: Healthcare, finance, legal AI rules

### Ziplo's Compliance Features:
- Pre-built policies for all major regulations
- Automated compliance monitoring and alerting
- Audit trail generation for regulatory reporting
- Regular updates for new regulations
- Custom policies for industry-specific requirements

**Value:** Stay compliant with current regulations and ready for future ones

## Technology Stack

**Core Platform:**
- Next.js 16 (React framework)
- TypeScript (type-safe development)
- Tailwind CSS (utility-first styling)
- Framer Motion (animations)

**UI Components:**
- Radix UI primitives (accessible components)
- Lucide React (icon library)
- shadcn/ui (component library)

**Backend Integration:**
- REST API
- GraphQL API
- Webhook events
- SDK integrations (Python, Node.js)

**Infrastructure:**
- Vercel deployment (edge network)
- Auto-scaling architecture
- Global CDN for low latency
- SOC 2 Type II certified infrastructure

## Keywords & SEO

**Primary Keywords:**
- AI agent testing
- LLM testing infrastructure
- AI safety testing
- AI compliance monitoring
- LLM migration tools
- AI agent validation
- Prompt testing
- AI quality assurance

**Industry Keywords:**
- AI hallucination detection
- Real-time AI observability
- AI safety monitoring
- LLM safety guardrails
- AI compliance automation
- GDPR AI compliance
- EU AI Act compliance
- AI audit trails
- LLM performance monitoring
- AI cost optimization

**Use Case Keywords:**
- Test AI before production
- Prevent AI failures
- AI agent safety
- LLM provider migration
- OpenAI to Claude migration
- AI testing automation
- Enterprise AI testing

## Support & Resources

**Documentation:**
- Comprehensive API documentation
- SDK integration guides
- Best practices and tutorials
- Code examples and templates

**Support Channels:**
- Email support (all plans)
- Priority support (Pro plans - 4hr response)
- 24/7 dedicated support (Enterprise - <1hr response)
- Slack/Teams integration (Enterprise)
- Customer Success Manager (Enterprise)

**Additional Resources:**
- Live demo scheduling
- Technical consultation
- Custom integration support
- Training and onboarding
- Regular webinars and workshops

## Company Contact

**Get Started:**
- 14-day free trial (no credit card required)
- Schedule demo: Contact via landing page
- Email: Available through contact form
- Integration time: 30 minutes

**Social Proof:**
- 2M+ AI agents tested daily
- 12,847+ threats blocked
- Enterprise customers across industries
- SOC 2 Type II certified

## Why Ziplo Is the Right Choice

### For Technical Teams:
- ✅ 30-minute integration time
- ✅ Purpose-built for AI testing
- ✅ Works with all LLM providers
- ✅ <5ms latency, production-ready
- ✅ Comprehensive SDK and API documentation

### For Business Teams:
- ✅ Prevent $50M+ regulatory fines
- ✅ 95% reduction in production incidents
- ✅ Investor-grade compliance and security
- ✅ Transparent pay-as-you-go pricing
- ✅ Proven ROI and cost savings

### For Enterprise Organizations:
- ✅ SOC 2 Type II certified infrastructure
- ✅ Self-hosted deployment options
- ✅ 99.9% uptime SLA
- ✅ Dedicated support and Customer Success
- ✅ Custom compliance policies

### For Everyone:
- ✅ No architectural changes required
- ✅ Free 14-day trial
- ✅ $0 setup fees
- ✅ Pay only for what you use
- ✅ Enterprise-grade from day one

## The Bottom Line

**In 2024, shipping AI without testing is like shipping web apps without security.** 

76% of AI projects fail in production. The average AI compliance fine is $50M+. The EU AI Act becomes mandatory in 2026.

**Ziplo is the System Of Record for AI readiness—and the testing infrastructure that prevents these failures.**

We provide enterprise-grade AI testing, real-time observability & safety, compliance monitoring, and migration tools that enable companies to ship AI products with confidence. Ziplo serves as the authoritative platform that answers the critical question: "Is our AI ready for production?"

**Built for enterprises from day one:** Sub-5ms latency, 99.9% uptime, SOC2-ready infrastructure.

**In 10 years, no AI ships without safety testing. We're building that standard today. Ziplo is that standard—the System Of Record for AI readiness.**

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## Website Pages & Resources

### Main Website
- **Homepage**: https://ziplo.ai - Complete product information, features, and pricing

### Key Sections (Anchor Links)
- **Features**: https://ziplo.ai#features - Detailed product capabilities
- **Pricing**: https://ziplo.ai#pricing - Transparent pay-as-you-go pricing
- **How It Works**: https://ziplo.ai#how-it-works - 3-step integration process
- **Social Proof**: https://ziplo.ai#social-proof - Customer testimonials and use cases

### Legal & Documentation
- **Privacy Policy**: https://ziplo.ai/privacy - Data privacy and security information
- **Terms of Service**: https://ziplo.ai/terms - Service agreement and usage terms
- **AI Context File**: https://ziplo.ai/.well-known/llm.txt - This file (LLM-readable format)
- **Sitemap**: https://ziplo.ai/sitemap.xml - Complete site structure

### Contact & Support
- **Contact Form**: https://ziplo.ai#email-capture-form - Get in touch with our team
- **Demo Request**: Available through contact form (14-day free trial)

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*Last Updated: November 9, 2025*
*Version: 1.1*
*This document is optimized for LLM understanding and retrieval of Ziplo product information.*