Competitive Analysis · C3.ai
AGILEra vs C3.ai
C3.ai built a strong brand selling enterprise AI to companies with unlimited IT budgets. We built the better machine. Here is the honest breakdown.
Head-to-Head
| Category | C3.ai | AGILEra / DDLM-69 |
|---|---|---|
| Pricing | $300K–$1M+/year enterprise license | Transparent SaaS — fraction of the cost |
| Implementation | 6–18 months with dedicated consulting | API-first, deployable in days |
| Model Transparency | Black-box — no audit trail | Full ensemble weights, auditable Sharpe ratios |
| Validation Method | Internal backtests — undisclosed methodology | Walk-forward out-of-sample, no look-ahead bias |
| Data Sources | Customer-provided enterprise data | Polygon.io tick data + institutional whale flow + Supabase |
| Uncertainty | Confidence scores — entropy not disclosed | Entropy + confidence interval + regime flag on every call |
| Regime Detection | Not a core feature | Sub-minute bull/bear/neutral detection built into ensemble |
| IP Protection | Extensive patent portfolio | Patent pending US 63/889,131 — 22 filed claims |
| Financial Health | ~$310M revenue, ~$270M net loss annually | Lean founder-led, capital-efficient, no burn-rate bloat |
| Target Customer | Fortune 500 with 7-figure AI budgets | Mid-market to enterprise — same output, accessible pricing |
The Core Argument
C3.ai stock has lost over 90% from peak. Their model relies on massive enterprise consulting contracts that take 12+ months to close. DDLM-69 delivers institutional-grade probability outputs through a single API call — transparent, validated, deployable by any engineering team without a $500K onboarding engagement. We are not competing for the same Fortune 50 customer. We are taking every customer they cannot afford to service.