For PE Managing Partners

Claude Code will kill Excel.

Your deal models live in spreadsheets. Your board decks, IC memos, LP reports, and compliance filings are built from them — manually, every time. That fragmentation costs your firm millions and caps your capacity. There's a replacement.

Excel doesn't just slow you down. It fragments your firm.

Every model is an island. The same metrics get copy-pasted from LBO models into IC memos, manually re-entered into board decks, reformatted for LP reporting. Same data, six silos, zero connectivity.

01

Models are islands

Every LBO, every sensitivity analysis, every comp table lives in its own file. When an assumption changes, an analyst manually updates every downstream document.

02

Copy-paste is your integration layer

Your IC memo gets its numbers from a spreadsheet. Your board deck gets its numbers from another. When they don't match, nobody catches it until the partner meeting.

03

Capacity is headcount

Want to screen more deals? Hire more analysts. Want deeper portfolio monitoring? Hire more ops staff. Your growth is gated by how many people you can recruit, train, and retain.

Kill Excel. Unify the data. Let Claude Code do the rest.

Your best people use Claude Code to produce everything — models, memos, decks, reports — from a single source of truth. The human role becomes: trigger, direct, judge.

01

Replace Excel with a unified data layer

Deal metrics, portfolio KPIs, fund performance — structured in a database, not scattered across spreadsheets. One source of truth for the entire firm.

02

Claude Code produces every deliverable

LBO models in Python. IC memos from structured data. Board decks auto-generated. LP letters pulling from the same KPIs. Print-ready output in minutes, not days.

03

Your best talent directs, not produces

Principals and VPs exercise judgment. Associates learn by reviewing Claude Code output, not formatting cells. The talent ladder stays — but careers accelerate because grunt work disappears.

04

The firm runs on one operating system

Every morning, your team opens Kith OS. Individual dashboards. Prioritized work. Pipeline, portfolio, LP communications — unified. You see the entire firm in one view.

What this is worth to a $1B AUM firm.

A three-column operating model: your firm today, post-adoption on the same fund, and at the next fund raise. The savings alone justify adoption. The capacity is the real prize.

24 → 13
Headcount
3.2x
GP Profit Increase
9x
Production Efficiency
$4.5M
Annual Savings
Today
$2.1M GP Profit

24 people. 12% margin. $690K profit per partner. Analyst hours consumed by Excel production work.

Post-Adoption (Same Fund)
$6.6M GP Profit

13 people. 38% margin. $2.2M profit per partner. 2/2 talent structure — mid-level paired with junior. Claude Code handles production.

Next Fund ($1.8B AUM)
$14.5M GP Profit

20 people. 47% margin. $3.6M profit per partner. Same team that ran $1B now covers $1.8B. AUM per professional: $90M.

Not a tool you open. The thing you open in the morning.

Kith OS wraps Claude Code in the governance layer a PE firm needs — permissions, audit trails, compliance, and encoded institutional knowledge. Your methodology lives in reference files that Claude Code reads every time it produces output.

Every workflow your firm runs — deal screening, IC prep, board reporting, LP communications — is captured in a metadata table you can customize. The system knows who can do what, logs every action, and keeps your compliance officer informed.

>_

Workflow UI

Every task surfaced through an intuitive interface. Staff don't need to know Claude Code. They follow the workflow.

Role-Based Permissions

Associates build models but don't publish LP letters. Your hierarchy, encoded in the system.

Audit Log

Every build, every review, every QA event recorded. Who did what, when, and the result. This is your compliance layer.

Institutional IP

Your firm's methodology encoded in reference files. Claude Code reads them every time. Output quality compounds as the IP deepens.

Unified Dashboard

Every person sees their priorities. The MP sees the entire firm. Pipeline, portfolio, LP commitments, fires — one screen.

$550K/year in SaaS. Replaced by one operating system.

DealCloud, Chronograph, compliance tools, data rooms, fund admin software — point solutions that don't talk to each other. Kith OS consolidates them into one system where everything connects.

DealCloud

Deal management & CRM

$150-200K/year for a system that tracks deals but doesn't produce anything. Kith OS tracks your pipeline and produces the screening memo, comp analysis, and IC materials from the same data.

Chronograph

Portfolio monitoring

$100-150K/year for dashboards that show you data but don't act on it. Kith OS monitors KPIs, flags anomalies, generates board decks, and drafts your value creation updates automatically.

Point Solutions

Compliance, data rooms, fund admin

Another $200K+ in tools that each solve one problem. Kith OS handles compliance logging, document management, and fund reporting as part of the operating system, not as add-ons.

Watch It

See a firm running on Kith OS.

A single Claude Code session producing an LBO model, IC memo, and board deck — all from the same data source. Under 30 minutes.

Demo Coming Soon
Size It

What is this worth to your firm?

We built a PE firm operating model — using Claude Code, naturally — that shows the before and after. See what the numbers look like for your firm.

Build Your Model →

Three-column model: Today / Post-Adoption / Next Fund. Built in Python. Every assumption editable.

Claude Code in PE — Live Demo

Watch an ex-Bernstein research director build PE deliverables in Claude Code — live, from scratch, no slides. LBO model, IC memo, board deck. 60 minutes.

Register

Free — hosted on Luma

Diego Espinosa

CEO & Co-Founder, Kith AI Lab

Ex-Research Director at Bernstein. Ran a $10B global equity product at DWS. Built Kith as a Claude Code-native firm: three product lines, five people, no SaaS stack. The architecture Kith OS deploys into client firms is the same one we run on.

Bernstein — Research DirectorDWS — $10B PMMorgan Stanley — #1 Ranked AnalystCredit Suisse — Chief US StrategistBCGConsenSysWharton MBA, FinanceSanta Fe Institute

The gap between what AI can do and what your firm does today is the largest it will ever be.

Every month you wait, a competitor figures this out.

Book a Demo