Know Exactly Where Your AI Will Break.
CollapseMap automatically maps every model, prompt, vector database, and tool in your system. It simulates outages, scores fragility, and alerts engineering teams to cascading failures before they reach production.
0ms
Overhead
10x
Faster TTR
82%
Risk Reduction
Production AI Applications
Modern AI Systems Are More Fragile Than They Look
Traditional APM tools monitor system-level servers. But AI applications fail non-deterministically through complex, multi-layered dependencies.
Without CollapseMap
Operating in the dark
Hidden Dependencies
No visibility into prompt-to-model, memory, or third-party API chains.
Unexpected Outages
Failures cascade silently through RAG pipelines with no backoff or failover strategy.
Silent Failures
Degraded data embedding or model output drift goes undetected until customers complain.
Vendor Lock-in
Single model provider exposure leaves you vulnerable to provider downtime and cost spikes.
Hallucinations
Injected prompt context overflows lead to corrupt outputs without validation check gates.
RESULT: Silent degradation, critical outages, poor customer trust.
With CollapseMap
Reliable & Resilient Operations
Dependency Graph
Continuous discovery maps your complete AI topology in real-time.
Failure Simulation
Proactively inject API errors, latencies, and drifts to test system recovery.
Risk Scoring
Get an instantaneous Fragility Score™ detailing exact weak points.
Full Visibility
Trace every context token, memory call, and LLM request latency down to the millisecond.
Architecture Intelligence
Actionable SRE recommendations to compact contexts and configure fallbacks.
RESULT: 99.9% uptime, optimized inference costs, continuous compliance.
How CollapseMap Works
Eliminate critical failure vectors in minutes. Follow our automated pipeline to secure your AI operations.
Discover
Scan AI infrastructure automatically
Integrate our lightweight SDK or OpenTelemetry agent with one line of code. CollapseMap auto-discovers all model models (GPT, Claude, Gemini), prompt templates, vector databases, MCP servers, and tool call routers.
Map
Generate real-time dependency graph
Analyze
Calculate Fragility Score™
Protect
Simulate failures & alert
Complete Architecture Intelligence for AI Systems
CollapseMap replaces guesswork with mathematical certainty. Monitor, simulate, and defend every tier of your agentic infrastructure.
AI Dependency Mapping
Automatically discover and visualize every LLM, prompt template, memory bank, database, and tool in your AI architecture.
Fragility Score™
Continuous mathematical evaluation of system-level risk, calculating single points of failure, rate limit thresholds, and prompt drift.
Collapse Simulator
Simulate service outages, high latencies, prompt injection, and API drops to observe how failures propagate through your system.
Chaos Engineering
Inject failures into production pipelines in controlled environments. Validate retry, fallback, and validation layers automatically.
Vendor Lock-in Analyzer
Track API dependencies, contract exposures, and compute costs. Automatically detect single-vendor failure exposure.
Architecture Health
Get real-time SRE recommendations on prompt refactoring, context compaction, and embedding cache strategies.
Incident Timeline
Trace errors backward in time to identify which prompt edit, model update, or database index change caused a system collapse.
Reliability Dashboard
An elegant control center for SREs and CTOs summarizing latency distributions, error rates, and system resilience scores.
Policy Engine
Enforce security, cost, and alignment guardrails. Block non-compliant outputs or model requests instantly.
Enterprise SRE Control Center
Observe, test, and adapt. Track real-time inference latency anomalies, simulate chaos injects, and watch fallback routes activate instantly.
Fragility Score
Avg Latency
Real-time Latency metrics (ms)
Tracing response duration across OpenAI, Anthropic, and Gemini endpoints.
Cascade Failure Simulator
See exactly how a minor API timeout propagates through your prompts and databases, causing full application collapse.
Simulation Control Panel
Select a vulnerability threat scenario to inject into your staging environment.
OpenAI API Outage
Inject HTTP 504 Gateway Timeout
Pinecone Index Splitting
Inject 500ms embedding response latency
Prompt Token Overflow
Simulate context window limit exhaustion
OpenAI API Timeout
Primary model endpoint api.openai.com latencies spike past SLA boundary (3000ms limit).
Retry Policy Fails
No alternative LLM fallback (like Anthropic or Bedrock) is configured. All 3 retries time out.
Context Collapse
Injected variables fail to bind to system prompt templates. Session memory goes out of bounds.
Silent Hallucination
Model responds with unvalidated prompt tokens, bypassing JSON schema enforcement check gates.
Customer Impact
Active client sessions crash or receive garbage payloads. Latency maps show critical drop.
Pagers Triggered
Incident alerts page SREs on Slack & PagerDuty. System health index drops to 12%.
AI System Fragility Index
CollapseMap analyzes your complete architecture and flags active risks. Expand any factor to see the SRE mitigation code.
System Fragility is calculated by combining Single Point of Failure dependencies, latency spreads, and prompt drift scores.
No Retry Logic
Analysis Findings
Model API calls are invoked without automatic backoff retries. If api.openai.com drops a single packet, client transactions crash.
Mitigation Plan
Wrap LLM completions in exponential backoff policies with jitter. Configure max retries to 3.
// BEFORE: Naked model call
const completion = await openai.chat.completions.create(params);
// AFTER: Resilience wrapper with CollapseMap SDK
const completion = await collapseMap.wrap(async () => {
return await openai.chat.completions.create(params);
}, {
retries: 3,
backoff: "exponential",
fallbackModel: "anthropic/claude-3-5-sonnet"
});Integrate with Your Entire Stack
Plug directly into models, vector stores, orchestrators, and cloud providers. Install lightweight agents with zero service overhead.
Why Engineering Teams Choose CollapseMap
We help developers move from reactive patching to proactive engineering, ensuring AI products run reliably under any traffic or provider failure conditions.
Real-time Visibility
Understand every dependency. Trace how model prompt templates interact with cache stores, semantic databases, and MCP tools down to the individual token. Never debug a failure blindly again.
Proactive Simulation
Know failures before production. Inject high API latencies, mock data pollution, and model timeouts to observe failure cascades in controlled staging or shadow environments.
Continuous Resilience
Build AI applications that survive outages. Verify fallback triggers, model rotation, and output validation middleware automatically, ensuring mission-critical reliability.
SaaS Scaling Plans
Choose a tier tailored to your operational scale. Start testing for free and scale up as dependencies multiply.
Starter
Essential vulnerability mapping for early-stage AI products.
- Up to 3 active AI models
- Automated dependency mapping
- Daily failure simulations
- Standard Fragility Score™ logs
- Community & Discord support
- 14-day data retention
Pro
Advanced reliability operations for high-traffic AI systems.
- Unlimited active models & agents
- Real-time graph visualization
- Continuous Chaos Engineering tests
- Multi-region API fallback policies
- Slack connect & 1-hour priority SRE support
- 90-day data retention
- SOC2 compliance ready logs
Enterprise
Mission-critical reliability for scaling enterprises.
- Everything in Pro, plus:
- Self-hosted / On-Premise deployment
- Custom policy and governance engine
- Dedicated AI Reliability Architect
- 99.99% SLA guarantee
- Custom integrations & custom MCP gateways
- Role-based access control (RBAC) & SSO
Frequently Asked Questions
Have questions about system integration, security compliance, or MCP compatibility? We have answers.
Build AI Systems
That Don't Collapse.
CollapseMap gives engineering teams complete visibility into AI system fragility—so they can identify hidden risks, simulate failures, and build resilient applications.