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NODES is the intelligence layer and system of action for enterprise hiring decisions. Thirteen agents across three pillars (Hire & Develop, Operate & Run, Sell & Grow), all on one calibrated model, calibrated against your own production data, not a vendor benchmark. Same model, same proof primitive, different decision.
Screening · Interview · Sourcing · Ramp · Retention · Attrition · Internal Mobility · Succession · Onboarding · Training · Promotion Readiness
See all elevenThe same intelligence layer extends to revenue systems as the substrate learns from each deployment.
Read moreOne calibrated model runs every agent. Whatever the decision (a candidate, an HR ticket, a slipping deal, a comp recommendation), the brain produces the same three outputs. Same substrate, same proof primitive, same audit chain. Your team approves.
The substrate scores every decision against the calibrated pattern for that decision type at your company. A candidate against the top-performer pattern. An HR ticket against the auto-resolvable pattern. A deal against the closed-deal pattern. Same score range, same calibration math, different decision.
Every score, every recommendation, every drafted action ships with a Decision Trace. The trace shows what the brain read, which signals drove the result, which dimensions weighted highest, and the bias and adverse-action floor checks that passed before the output surfaced. Sha256-immutable. Replayable on quarterly retrain. Court-defensible.
The brain does not stop at scoring. It drafts what comes next. A shortlist of candidates to interview. A response to an HR ticket with the policy clause cited. A recovery play for a slipping deal with the missing exec sponsor named. A comp recommendation with the band drift logic shown. Your team approves in the UI they already use. The Decision Trace logs the approval.
Same model. Same three outputs. Sixteen decisions. The brain proposes, your team approves, the trace signs.
Every agent is a thin orchestration layer over the same calibrated model. The substrate is shared, the calibration is per-decision. A signal seen in sourcing compounds into the retention stream ninety days later. A signal seen in an HR ticket compounds into the manager intelligence stream a quarter later.
A fine-tuned open-source foundation model, calibrated inside the customer boundary. Weights owned by the customer. No third-party AI in the chain. The same substrate runs every agent across every pillar. Per-pillar calibration changes the weights, not the model.
Keyword ATSes score resumes against strings. Gen-AI chatbots score candidates against a generic corpus. HR service tools route tickets without context. RevOps tools dashboard the past without drafting the next action. NODES scores every decision against your own production data, drafts the action, and writes a Decision Trace your team can audit.
A 30-minute working session. NODES backtests against a sample of your production data in your environment, on whichever pillar you want to test. Bring hiring data, HR ticket data, deal data, or comp data. NODES shows the score, the trace, and the drafted action on three real decisions you have already made.