NorthLemma connects the reasoning behind every investment decision to its outcome — building a permanent, queryable record of how your firm actually creates alpha.
Currently onboarding a small number of funds.
Investment teams reconstruct post-hoc rationales for performance. What was actually believed at the moment of decision is lost the instant the meeting ends.
Thesis documents live in email. Models live in Excel. OMS records live in a separate system. Nothing connects the original reasoning to the eventual outcome.
When a senior analyst leaves, their mental models and thesis frameworks leave with them. Returns that depend on one person are not an edge — they are a risk.
Upload your OMS trade history. NorthLemma surfaces chasing behavior, disposition effect, sizing discipline, and exit timing — scored, explained, and connected to specific positions. You see not just what happened, but which behavioral patterns are costing you.
Every investment decision captures a structured thesis, key assumptions, and supporting documents at the moment of IC approval — immutable, timestamped, locked. Claude reads your IC memos and extracts the reasoning automatically. Analysts review and confirm.
When both layers run together, a PM can ask: We believed X when we made this decision. Here is what actually happened. Were we right — and which specific assumption broke? That question has never had a systematic answer. NorthLemma answers it.
Every decision recorded strengthens the model. Over time, NorthLemma learns which thesis types, assumption categories, and market conditions actually predict your fund's success — not funds in general, your fund specifically. After 18 months, the system contains institutional intelligence that cannot be replicated without starting from scratch.
Thesis capture and quantitative behavioral analytics connected by position. Every decision logged from the start.
Cross-portfolio assumption concentration and behavioral bias patterns become visible. The decision quality matrix fills in.
LP process attribution generated automatically from accumulated data. The model is irreplicable without starting over.
$100M–$500M AUM. Behavioral analytics on your trade history. Thesis tracking across your coverage universe. LP process reporting.
Single and multi-family offices. Long investment horizons, complex decision chains, and no internal tooling to systematize the process.
Deal thesis tracking from IC approval through hold period. Pass database. Post-mortem analysis on exits.
We are onboarding a small number of funds in the first cohort. If you manage a discretionary portfolio and want to understand where your edge comes from, we want to talk.
Or reach us at northlemma@gmail.com