Decades of alpha, locked inside a spreadsheet.
Each analyst covers a limited number of names. Expanding coverage means hiring — a slow, expensive process that doesn't scale with market opportunity.
Output varies by analyst seniority, bandwidth, and cognitive bias. Recency, anchoring, and confirmation bias creep into every model.
By the time a thesis reaches the portfolio manager — through revisions, team meetings, and sign-off — the signal has already decayed.
Email threads and informal debates leave no structured record of how a position was sized, what assumptions were made, or what would invalidate the thesis.
Introducing kplr.
Systematic Research Framework
Every company evaluated through a consistent, industry-specific lens — regulatory filings, earnings data, macro context, and market signals.
Multi-Agent Deliberation
Analyst agents produce signals. Sector heads challenge weak theses. No signal reaches the portfolio unchallenged.
Audit-Ready Decisions
Every recommendation includes a stated thesis, probability-weighted scenarios, a kill trigger, and a full reasoning trail.
Scales to any universe of securities without adding headcount. A senior analyst covers 8–12 names; kplr covers them all, continuously.
The research pipeline re-runs as new data arrives. No revision cycles, no sign-off delays — the signal is current, not stale.
Every decision logged with thesis, probability-weighted scenarios, assumptions, and a single measurable kill trigger.
Let’s talk about
your edge.
Whether you’re a hedge fund exploring automation or a family office looking to scale research — we’d like to hear from you.