Diligence & deal flow
First-pass diligence, question banks, comparables, data room synthesis, and sourcing screens — defensible at investment committee.
AI Enablement & Implementation · Private Equity
We train entire investment teams on AI, then build AI systems on the workflows that matter.
The technology underneath this work changes weekly: new models, new tools, shifting best practice. Most firms train once and fall behind quietly. Solven's programmes are monthly because the frontier is weekly — your team, analyst to partner, stays current as the market moves.
Enablement
Hands-on Claude sessions for the whole team, from the newest analyst to the managing partner. A four-session arc from first principles to building with the most advanced tools in the suite.
The programmes → 02Build
Agents, automation, and workflow systems applied to the real work: contract redlining, IC memo interrogation, portfolio reporting. Build hours pair with the training so confidence becomes real systems.
Selected work → 03AI Diligence
Independent diligence for funds: we pressure-test whether a target or a pitching founder is genuinely AI-native, or simply fluent in the vocabulary, before the term sheet is signed.
How it works → 04Token Economics
Where your compute spend actually goes, what it returns, and how to pace it — so the firm's token budget lasts the full year, not the first quarter.
How it works →Each maps to a different seat at the table, and each is designed to sharpen judgment rather than substitute for it.
First-pass diligence, question banks, comparables, data room synthesis, and sourcing screens — defensible at investment committee.
Board packs, quarterly reports, KPI monitoring, and variance flagging that scale with the portfolio, not the headcount.
LP letters, capital call narratives, and SFDR / CSRD / ESG workflows, at the cadence investors expect and with the audit trail intact.
Institutional memory, workflow playbooks, and analyst training in the AI-as-adversary methodology that holds under pressure.
AI Diligence
When a target or a founder claims to be “AI-powered,” we give the fund a defensible read on what is genuine capability and what is marketing jargon, before the term sheet.
The pitch
What we surface
The deliverable: a clear read for the investment committee — what is real, what is veneer, and what it changes about the price.
Token Economics
Most firms find their compute budget is gone by March. We show you where the tokens went, what they returned, and how to make the year's budget last the year.
A clear read on where tokens go — by team, workflow, model, and prompt — so the spend that was invisible becomes legible.
What each token actually returns. Cost measured per outcome, not per call, so you can see which workflows earn their keep and which don't.
Right-sized models, prompt caching, and tighter context — the same output for a fraction of the spend, without dropping quality.
Forecasts and guardrails that keep consumption tracking the year, so there are no surprises and no scramble in the fourth quarter.
The deliverable: a token P&L the partners can read — what each workflow costs, what it earns, and the changes that stretch the same budget across the whole year.
The currency argument
A firm that trained its team six months ago is already operating on stale knowledge.
New models, new tools, new capabilities, shifting best practice — the ground under this work shifts on a weekly cadence. Our programmes are monthly precisely because the technology is weekly. Every person in the firm stays fluent with the frontier as it moves, without anyone having to track the firehose themselves.
Where we work
Built for private equity, real estate, and venture firms, from Lisbon to London.
Member of the Anthropic Partner Network · Phase 1
A short conversation is the fastest way to see where Claude belongs in your team's work — and where it shouldn't.
Start a conversation →Let's increase some IRR.