AETHER scores your enterprise AI strategy across 8 dimensions in 30 minutes, predicts ROI with Monte Carlo simulation, and tells you exactly what to fix. Because the model is not the moat.
When every competitor has the same foundation models, the same APIs, and the same cloud — where does your advantage come from?
AETHER evaluates every layer of your AI capability stack, from strategy to governance.
Business alignment, executive sponsorship, model-agnostic architecture, competitive positioning
Source connectivity, governance maturity, quality automation, proprietary datasets, real-time availability
Technical debt severity, cloud adoption, microservices maturity, modernization budget, API-first architecture
Business rules codified, agent-callable APIs, domain-specific models, decision automation level
AI literacy, training programs, CoE maturity, citizen developers, change management readiness
EBIT attribution, use-case tracking, quarterly reviews, cost-per-request monitoring, dashboards
Agent deployments, guardrails, human-in-loop controls, observability, security posture, tool registry
AI council, ethical framework, regulatory compliance, audit trails, EU AI Act readiness, board reporting
Seven components that replace a $150K consulting engagement.
A single number your board can track quarterly. Letter grade (A+ to F) and maturity posture (Vulnerable → Differentiated). The AI strategy credit score.
Each dimension scored on 0–5 with Bayesian 95% credible intervals and percentile rank versus industry peers. Know exactly where you're strong and where you're exposed.
Will your advantage last? Durability measured across 6-month, 18-month, and 36-month horizons, plus competitive pressure resistance and disruption absorption capacity.
10,000-iteration simulation with P10/P25/P50/P75/P90 distributions. Payback period. 3-year NPV. Organizational friction modeled. Your CFO will thank you.
Which dimensions accelerate or block others. Prevent wasted investment by seeing where upstream improvements unlock downstream value.
Each with impact score, effort score, timeline, expected DQ improvement, and category (quick win / strategic / foundational / transformational).
One paragraph. Auto-generated. Paste it into your board deck. DQ score, gaps, ROI projection, top action. Executive language, not jargon.
Seven use cases, from quarterly strategy reviews to M&A due diligence.
Track DQ score over time. Benchmark against industry peers. Present to the board with one number, one posture, three actions.
Before committing $10M+ to AI, run AETHER. If your data readiness is 1.8/5, no amount of spend will succeed.
The dependency graph shows which 2–3 systems to modernize first for maximum AI impact. Prioritize by value, not age.
Score an acquisition target's AI differentiation. Identify integration risks. Project post-acquisition ROI.
Automate 70% of the AI diagnostic. White-label reports. Your consultants add the strategic 30%. Platform tier.
Benchmark member organizations anonymously. Aggregated data creates industry benchmarks no single company could produce alone.
15 synthetic enterprises scored across 6 industries. Click any row to see the full DQ assessment.
— Or explore 15 synthetic enterprise assessments below —
Demo uses synthetic data across 6 industries. Full assessments use your organization's actual inputs. Request a real assessment →
From free exploration to enterprise platform. 80x cheaper than consulting.
Enterprise-grade IP with defensible technology and clear revenue model.
Five-component DQ Engine combining Bayesian scoring, Monte Carlo simulation, Resilience Tensor analysis, cross-dimensional dependency cascade, and adaptive weight learning. Trade secret. Not replicable via API wrappers.
Every assessment improves industry benchmarks for all customers. Aggregated, anonymized data creates a compounding data moat. More users = better benchmarks = more users.
RAG fine-tuning on customer data creates switching costs. Assessment history and trend tracking builds institutional memory. Custom benchmarks are non-portable.
8 industry verticals calibrated. Each new vertical multiplies TAM. Adjacent expansion into AI governance, observability, and agent management.
4-tier SaaS subscription. $299–$4,999/month. Year 3 target: $24.6M ARR. 10–15x revenue multiple = $245M–$368M valuation.
Single-author codebase. Proprietary license. Trade secret protection. CODEOWNERS governance. CI/CD pipeline. 26 tests passing. Full architecture documentation.