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AGILEra
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Competitive Analysis · Salesforce

AGILEra vs Salesforce

Salesforce built the world's largest CRM business by locking companies into per-seat pricing, consultant ecosystems, and add-on AI you can't audit. AGILEra ships the prediction engine as the foundation — not a $50/seat/month upgrade.

Salesforce Enterprise price
$165–$330
per user / month
Avg implementation time
6–18 mo
with SI partner
Einstein AI — included?
No
separate add-on SKU
Walk-forward validation
None
rules-based scoring

Head-to-Head

CategorySalesforceAGILEra / DDLM-69
Pricing$165–$330/user/month (Enterprise+)Transparent SaaS — fraction of per-seat cost
Prediction EngineEinstein AI — add-on, rules-weighted scoringDDLM-69 walk-forward ensemble — validated out-of-sample
Lead ScoringRules-based or Einstein predictive — no validationProbability-ranked with entropy + confidence interval
Forecasting MethodWeighted pipeline math — no ML validationEnsemble model with regime detection + Sharpe ratio output
Regime AwarenessNone — static model regardless of marketBull/bear/neutral regime flag on every prediction cycle
Data SourcesUser-entered CRM data onlyPolygon.io tick data + whale flow + Supabase ML pipeline
Implementation6–18 months + SI partner requiredAPI-first — dashboard live in days
AI TransparencyBlack-box Einstein — no audit trailFull ensemble weights, auditable, walk-forward reproducible
Uncertainty OutputConfidence % — methodology undisclosedEntropy + confidence interval + regime flag per call
Autonomous Lead GenNo — Salesforce stores leads, you find themNexus-AGILE auto-generates and ranks leads from DDLM-69 signals
IP Protection3,000+ patents — deeply entrenchedPatent pending US 63/889,131 — novel architecture, 22 claims
Financial Model$34B revenue — 80% from existing lock-inLean founder-led, capital-efficient, no burn-rate bloat

Where AGILEra wins

01

No prediction tax

Salesforce charges extra for Einstein, extra for Sales Cloud, extra for Data Cloud. AGILEra ships prediction as the foundation — not an upsell.

02

Walk-forward validation

Einstein scoring uses rules you define or black-box ML you can't audit. DDLM-69 uses Lopez de Prado walk-forward — the quant finance standard. No look-ahead bias. Published methodology.

03

Autonomous vs reactive

Salesforce is a database that waits for your reps to log activity. Nexus-AGILE autonomously generates and prioritizes leads using real-time market signals. It runs while your team sleeps.

See it in action

Guest demo: Y#uOPN3E3mAbe7bp

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