Mentor is the AI learning co-pilot that detects skill gaps from actual work output, surfaces just-in-time training mid-task, and personalizes paths to each person's role, pace, and goals. Replaces SCORM-era LMS catalogs with learning that's woven into the moment of need.
Mentor is built on a simple bet: people learn best at the moment of need, not in scheduled blocks weeks before they'll use it.
Mentor watches the work — code reviews, deal notes, support tickets — and infers where capabilities are thin. No quarterly skills assessments. No self-reported surveys.
Stuck on a clause in a contract? Mentor surfaces the 90-second explainer. Trying a new framework? Mentor offers the example three keystrokes before you'd Google it.
Paths adapt to role (your IC vs. lead path differs), pace (auto-extends if you're swamped), and goal (promotion vs. lateral move vs. depth). No more one-size-fits-all curricula.
Mentor generates realistic simulations from your own data — pitch this client, handle this objection, debug this incident. Conversational, with feedback.
Managers see capability progression and team coverage. They never see what individuals practiced or struggled with — Mentor's data minimization is by design.
Capabilities discovered by Mentor flow into Sentinel's talent graph. Learning becomes the engine of your workforce intelligence, not a separate silo.
A junior engineer struggles with their first Kubernetes deployment — Mentor sees the work output, infers the gap, surfaces just-in-time training, and offers a practice scenario built from the team's own infrastructure. No quarterly review needed.
A founding-team engineer will get back to you within one business day with a tailored walkthrough — and an honest read on whether Mentor fits your stack.
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Tell us what you're running today. We'll tell you, honestly, whether Mentor is the right tool — and what we'd swap in if not.