arch0 scans your AI architecture.
RAG · Agents · LLM integration · Finetuning pipelines — turn “looks fine” into a scorecard, hotspot heatmaps, and an action plan that lifts quality and stability.
Scan summary
Every analysis completes with a detailed breakdown of risks, actions, and estimated impact.
- 01critical_path is too centralized in orchestration
- 02SCC cycles detected in llm_integration adapters
- 03sensitive_data_flow crosses module boundaries
One scan → three artifacts
Every run finishes with a scorecard, heatmaps, and a plan you can hand directly to engineering.
AI Architecture Scorecard
A roll-up of the threats that break AI systems before they hit prod.
- AI-Readiness
- Drift risk
- Data-flow risk
- Coupling / blast radius
- Delivery risk (ownership / change coupling)
Hotspot Heatmaps
Visual density maps across packages, layers, and modules.
- Risk density by component
- Critical path pressure
- Coupling hotspots
- Sensitive flows map
Refactoring Plan
6–12 steps ordered by ROI so teams know what to do first.
- What to change
- Why it matters
- Risk reduced
- Metric proving it
AI systems fail differently. arch0 detects the real reasons.
Agents → break at boundaries
Tool adapters, orchestration, implicit contracts. arch0 surfaces the brittle gateways before incidents.
RAG → breaks on flows
Source → retrieval → context → generation. We trace the retrieval layer to show where context leaks or gets lost.
Finetuning → breaks on pipelines
Reproducibility, datasets, inference coupling. arch0 spots tight loops and chokepoints across the pipeline.
AI degrades over time
Runtime drift + MSR signals highlight decay long before quality metrics or prod alerts catch it.
Scan modules
Module 01 — AI-Readiness
SCAN MODULEAgents · RAG · LLM Integration · Finetuning · Runtime Drift
Detects: brittle chains, missing boundaries, context leaks.
Module 02 — Architecture Health
SCAN MODULESCC · Propagation Cost · Decoupling · Core/Periphery · Centrality · Modularity · Hierarchy
Detects: cycles, blast radius, hub collapse, layer violations.
Module 03 — Delivery & Evolution
SCAN MODULEMSR · Change Coupling · Hotspot Score · Ownership · Truck Factor · Monorepo
Detects: where it will break next, bus factor, unstable co-change zones.
Module 04 — Risk & Compliance
SCAN MODULESecurity · Sensitive Data Flow · Semantic Coupling/Duplicates · Coverage · Docs · Chaos Readiness · Cloud Cost
Detects: data leaks, duplicated logic, weak test surface, cost hotspots.
Scorecard
AI-Readiness
71
Arch Health
62
Risk Budget
48%
Dependency Graph
Risk Heatmap
Everything in one interactive report.
AI-Readiness scores, hotspot heatmaps, and a prioritized action plan—all generated in seconds.
Report highlights
AI-Readiness
71/100
Architecture Health
62/100
Drift signals
Active
Top risks
- 1Orchestration is a critical gateway (centrality spike)
- 2Cycles in LLM integration adapters (SCC)
- 3Sensitive flows cross boundaries (dataflow)
Next actions
- Split gateway module → reduce blast radius
- Introduce explicit tool adapter interfaces → stabilize agents
- Isolate sensitive flows into controlled layer → cut leakage risk
Connect → Scan → Act
arch0 slots into the workflows AI teams already rely on. Three steps, zero manual spreadsheeting.
Step 1 — Connect repos
Link your repo or monorepo, pick services, packages, or specific AI pipeline modules.
Step 2 — Build graphs
Dependency graph + call graph + change graph (MSR) + dataflow map, aligned to AI presets.
Step 3 — Generate plan
Scorecard, hotspot heatmaps, prioritized refactoring plan, and architecture budgets.
Run modes
Operational presets for every moment of the AI product lifecycle.
Pre-release AI Gate
Block a launch if the architecture budget or drift threshold is exceeded.
RAG Debug Mode
When answer quality drops, trace exactly where retrieval or context flow is breaking.
Agent Stability Mode
Expose tooling bottlenecks, gateway collapse, and hidden adapter cycles before outages.
Refactor Sprint Planner
Pick the 6–12 highest-ROI changes for the next 2–4 weeks and track risk reduction.
Built for how AI teams ship
SaaS + CLI, unified accounts, and architecture data wherever you need it.
CI gates
Quality budgets and regressions wired into your pipelines.
Org dashboard
Multiple repos, shared presets, and portfolio-level trends.
Trend over time
Track drift, change coupling, and budget burn-down release by release.
Export + API
Report JSON, webhooks, and programmatic access for your own tooling.
Pricing
Start scanning with the CLI or go full cyber-lab with the SaaS workspace.
Pro (AI Team)
$29 / user / mo
AI-Readiness + drift + hotspots + refactoring recommendations + trends.
- Full scorecard + heatmaps
- Risk budgets & alerts
- CI gates + PR annotations
- Time-series trending
- Team workspaces
Enterprise (Scale)
Custom
Policy gates across the org, SSO, multi-workspace, audit logs, and on-prem options.
- Org-wide policies
- SSO / SCIM / Audit logs
- Dedicated success engineer
- On-prem / VPC deployment
- Custom metrics + API limits
Frequently asked questions
Common questions about Arch0 and how it works.
Scan your AI architecture before production does it for you.
52 checks · graph + heatmap · actionable plan