Why AGILEra wins
against legacy CRM
Every competitor either has no prediction engine, no lead generation, or no CRM. AGILEra is the only integrated stack. Here's how we compare.
Head-to-head comparisons
$65M+ enterprise contracts. 18-month implementations. No CRM. No lead gen. Just ML models that require a data science team to operate.
AGILEra vs C3.ai →AutoML platform with no CRM layer and no lead generation. Requires existing data pipelines and ML expertise.
AGILEra vs Tazi AI →$165–$330/seat/month. Einstein AI is a separate add-on. Forecasting is weighted pipeline math. Implementation takes 6–18 months with a SI partner.
AGILEra vs Salesforce →Best UI in CRM. But AI forecasting multiplies pipeline by stage weights you define. No ML, no validation, no autonomous lead gen.
AGILEra vs HubSpot →Why no competitor can catch up
Data moat compounds
Every DDLM-69 signal, Nexus lead, and AGILEra deal feeds back into the prediction model. The stack gets smarter as it grows.
Revenue from day one
DDLM-69 sells prediction signals to traders and institutions now, while the CRM platform scales. No burn-first model.
Patent protection
The core DDLM-69 methodology is patent pending US 63/889,131. Walk-forward validation + whale flow + regime detection as an integrated system.
See it in action
Guest demo password: Y#uOPN3E3mAbe7bp