Problem Definition
As AI agents reach production, new quality challenges emerge:
- Agent Hallucinations: Unlike LLM hallucinations, errors compound in multi-step processes
- No Runtime Verification: Lack of validation before responses reach users
- Quality Issues: 89% of organizations adopt observability, 32% cite quality as the main barrier
According to the CAIA benchmark, even leading models achieve only 67.4% accuracy in high-stakes environments.
Market Analysis
| Metric | Value |
|---|---|
| Organizations with Agent Observability | 89% |
| Quality Issues Rate | 32% (main barrier) |
| Evaluation Impact | 60% reduction in production failures |
Target Customers: Companies deploying AI agents in production
Solution: Rippletide Eval CLI
Rippletide detects AI agent hallucinations at runtime through CLI.
Core Features
- Runtime Evaluation: Validates before responses reach users
- Fact Claim Extraction: Automatically analyzes entities, attributes, relationships
- Hypergraph Verification: Cross-references against trusted data sources
- Beautiful Terminal UI: Real-time progress tracking
- Detailed Reports: Categorizes as supported/unsupported/contradicted
Verification Process
Agent Response → Fact Extraction → Hypergraph Search → Claim Verification → Result
Competitive Landscape
| Competitor | Accuracy | Characteristics |
|---|---|---|
| W&B Weave | 91% | Full platform, complex |
| Arize Phoenix | 90% | Open-source observability |
| Comet Opik | 72% | Conservative strategy |
| Galileo | High | No ground truth needed |
Competition Intensity: Medium (Emerging - CLI specialization differentiates)
MVP Development Plan
| Phase | Duration | Scope |
|---|---|---|
| Phase 1 | 2 weeks | CLI framework, terminal UI |
| Phase 2 | 3 weeks | Fact extraction logic |
| Phase 3 | 3 weeks | Hypergraph verification engine |
| Phase 4 | 2 weeks | Report generation, CI integration |
Total MVP Duration: 8-10 weeks Tech Stack: Python/Rust CLI, LLM API, Vector DB
Revenue Model
| Plan | Price | Features |
|---|---|---|
| Free | $0 | 100/month, basic verification |
| Pro | $29/mo | 5,000 checks, advanced analytics |
| Team | $99/mo | 50,000 checks, dashboard |
| Enterprise | Contact | Unlimited, on-premise |
Expected MRR (12 months): $5,000 - $20,000
Risk Analysis
| Risk | Level | Mitigation |
|---|---|---|
| Technical | High | Verification accuracy is critical |
| Market | Low | AI agent adoption is surging |
| Execution | Medium | Fast feedback with MVP |
Recommendation
- Domain Fit: dev_tools, monitoring (preferred domains)
- Trend Alignment: AI agent quality is a 2026 key issue
- Differentiation: CLI specialization for developer workflows
- High Growth Potential: Runtime evaluation market is early stage
Overall Score: 88/100