Pre-trained work agents
Enterprise General Intelligence
Benchmarked on standardized jobs-to-be-done. Built to run from Day 1.
Sample production run
Signal-driven purchasing decisions
Benchmarked across unlike industries
Same job spec. Different tenants. Scored before deploy.
Blank-slate agents need months of customization before anyone knows if they can do the work. EGI ships pre-trained on standardized jobs—with benchmark scores from real runs at unlike businesses before you deploy.
Coding assistants prove a sprint; production agents require per-tenant execution, policy, audit, and pass/fail before deploy.
Scoring & execution criteria →Day 1 means you deploy in days, not months. Pre-trained work agents skip the long implementation cycles that generic AI projects require—while still connecting to your systems and policies.
Review scored workflow history across unlike businesses before the agent touches your stack.
Sample production run
Prospect, outreach & opportunity engagement
Every run is logged: systems touched, steps executed, pass or fail against the job spec. The benchmark publishes when the same job succeeds at multiple tenants—not from a synthetic leaderboard.
Full benchmark methodology →EGI combines neural inference with symbolic code generation to complete end-to-end enterprise workflows with precision and reliability.
Bruce and Alfred led revenue and product. The same execution layer now runs workflows across every operational function—benchmarked before deploy.
Prospects, outreaches, and engages opportunities—benchmarked on the full cycle.
View Bruce →Isolated tenant data · full audit logs · never used for model training. Security documentation
Pre-trained work agents with production benchmark scores. Days to deploy—not a months-long implementation cycle.