How it works
Your firm has a way of thinking about deals — a memo structure, a set of KPIs that matter, a valuation methodology, a risk taxonomy. Alagna starts with this.
During onboarding, we configure Alagna with your firm's strategy files: your memo template, your sector-specific analytical lenses, your IC requirements. This isn't a one-size-fits-all prompt — it's a structured knowledge base that shapes every analysis Alagna produces for your team.
Your firm can also onboard historical deals as part of this process — so the platform reflects your full institutional experience from the start.
Upload the entire data room — or point Alagna at it. Financial models, CIMs, management presentations, legal documents, market studies, data room exports. Hundreds of files across PDFs, spreadsheets, slide decks, and scanned documents — Alagna processes the full corpus, extracting structured data, cross-referencing financials, and building an internal representation of the deal.
No manual tagging, no file-by-file summaries, no format restrictions. The system reads everything and knows where to find what it needs.
Alagna also connects to the platforms your firm already uses — Notion, S&P Capital IQ, and others — using your own accounts, with no intermediaries.
Alagna walks through each section of your memo structure — market, business model, financials, valuation, risks — in a guided conversation. At each stage, it produces a draft grounded in the deal room data, then invites your input.
Challenge the assumptions. Ask for alternative scenarios. Request deeper analysis on a specific line item. The conversation is the analytical process — the memo is the byproduct.
When the analysis is complete, Alagna produces a formatted IC memo in your firm's template. Every section is structured, sourced, and ready for IC review. The output is a starting point for your team's discussion, not a replacement for it. The goal is to make sure the discussion is about the investment thesis — not about whether the numbers in the appendix are right.
Upload any investment memo — yours, your team's, or a third party's — and Alagna produces an independent, adversarial review. It pressure-tests the thesis, flags gaps in the analysis, and challenges assumptions against the underlying data. A second opinion with no stake in the outcome.
The review covers the full surface area: financial consistency, market assumptions, competitive positioning, risk completeness, and the internal logic of the thesis itself. It identifies what the memo asserts but doesn't substantiate, what it omits, and where the argument relies on momentum rather than evidence.
The most valuable use case may be internal. Run it on your own team's memo before IC — not to catch errors, but to anticipate the questions the committee will ask and strengthen the analysis before it's presented. Alagna has no deal fatigue, no advocacy bias, and no reason to be polite about a weak argument.
Once invested, the analytical work doesn't stop — but the process usually degrades. Every portfolio company reports differently: different formats, different cadence, different levels of granularity. Consolidating this into a coherent view is manual, repetitive, and often delayed.
Alagna ingests your portfolio companies' heterogeneous reporting — monthly financials, board materials, quarterly updates — and tracks performance against the original entry thesis. Not just the numbers, but the strategic assumptions: did the value creation plan play out? Are the risks you identified at entry materialising? What has changed?
The output is investment-grade LP commentary, tailored to each relationship — not a one-size-fits-all paragraph recycled across your investor base. And if your firm uses Notion, the commentary is automatically saved to an organised database — structured, tagged, and publication-ready for your middle office or LP reporting engine. No copy-paste, no reformatting. The analysis flows directly into your existing workflow.
When a deal reaches exit, most of the institutional learning is lost. The deal team moves on, the lessons stay in someone's head, and the next deal starts from scratch.
Alagna records the outcome against the entry thesis — systematically. What played out as expected, what didn't, and why. It classifies the outcome: which assumptions held, which broke, and which were unknowable at entry. This isn't a post-mortem exercise that happens once and gets filed away. It's the structured input that feeds the next step.
Every firm accumulates experience. Very few manage to compound it. The knowledge lives in the heads of senior partners, in scattered deal folders, in informal pattern recognition that never gets codified. When people leave, the lessons leave with them.
Alagna changes this. Every deal — its entry thesis, its monitoring trajectory, its exit outcome — becomes part of your firm's analytical layer. Over time, this builds into pattern recognition across your portfolio: which market signals were predictive, which risk factors materialised repeatedly, which value creation levers actually worked.
Onboarded historical deals compound alongside every new one.
This is not a generic model trained on public data. It's your firm's own accumulated judgment, structured and available to every deal team. The longer you use Alagna, the sharper it gets — for your firm specifically.