Infrastructure Risk Analysis · Est. 2018
OrchEngineX provides analytical judgment for distributed systems at scale. Every engagement produces quantified financial exposure with explicit confidence intervals, derived from your own incident records and architecture topology, not from analogues.
Annualized Exposure
$120,500/yr
90% Confidence
$72K–$201K
Dominant Mode
Cascading Retries (P99.9)
Primary Vector
Inter-AZ Latency Sensitivity
Illustrative output. Actual figures are derived per-engagement from client telemetry.
Methodology
We use three internal engines to remove guesswork from infrastructure decisions. Clients receive analysis and recommendations, not software access.
Your service topology rendered as a probabilistic graph. Nodes weighted by failure likelihood; edges weighted by cascade impact derived from historical degradation and SLO dependencies.
Stress applied across six dimensions: compute starvation, network partition, database lock-contention, DNS failure, API quota exhaustion, and human operator error.
ROI for every proposed remediation, computed against its specific impact on the financial exposure interval. The bridge between engineering work and the investment case.
Instrument / DWFG
Components become nodes. Dependencies become directed edges, each carrying a propagation weight derived from incident history and structural coupling. Hover any service to compute its downstream blast radius, the same primitive that powers our fragility scoring and exposure modeling.
Read the graph
Each edge weight is P(target fails | source fails), estimated from incident history and structural coupling.
Hover any component to compute its directed blast radius — the set of downstream services reachable via at least one propagation path, with max-product probability.
Engagements
Each engagement builds on the prior one. Clients commonly enter at SRQ for baselining, or directly at DIA when an investment case is already required.
The financial baseline. Derives a defensible annual exposure estimate from your architecture and incident history, expressed as a point estimate with a 90% confidence interval.
A rapid structural read. Models the architecture as a Directed Weighted Failure Graph, computes a composite fragility score, and names the three highest-leverage remediations.
The investment case. Full six-domain mechanics analysis with scenario-level financial impact and a prioritized remediation roadmap grounded in the SRQ baseline.
The implementation layer. Phased execution blueprints, migration risk assessments, rollback procedures, performance projections, and success KPIs.
Detailed Comparison
Narrow by your team's goals, available timeline, or data you can supply. Request a consult directly from any matching tier.
First-time clients needing a defensible financial baseline before board or CFO conversations.
Teams with known fragility but no structured map of where failures propagate.
Organizations preparing a capital request or quarterly planning cycle where risk reduction must be quantified.
Teams ready to execute remediation and need a rigorous implementation plan with measurable outcomes.
Who We Serve
VP Engineering, CTO, and senior technical executives at Series B through public-stage technology companies operating distributed systems at scale, typically 50 to 500 engineers. Technical depth to evaluate methodology; accountability to non-technical stakeholders.
Current Exposure
$218K/yr
Proposed Investment
$95K
Expected Reduction
$171K/yr
Client Reviews
Selected feedback from technical executives who have used our analysis to secure capital, de-risk roadmaps, and align engineering with financial stakeholders.
“The SRQ gave us a defensible number we could take to the CFO. Within two weeks we moved from 'we think it's risky' to a $1.2M exposure estimate with confidence intervals.”
Marcus Lindqvist
CTO, Series C Fintech
SRQ → DIA“We had three vendors pitching resilience work. The SIT fragility map made the decision obvious, it showed exactly which subsystem was driving 70% of our incident cost.”
Sarah Okafor
VP Engineering, Public SaaS Platform
SIT“The DIA investment case was the first time our board saw engineering risk expressed as expected loss reduction. We approved the full roadmap the same day.”
David Park
VP Engineering, Series D Marketplace
DIA → AOE