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Sapience for Private Equity

Grow the EBITDA.
Re-rate the multiple.
Before exit.

Sapience puts a team of AI agents to work inside every portfolio company — expanding EBITDA by cutting the cost of work, and re-rating the multiple with a credible AI-native story a buyer will pay up for.

A workforce that runs 168 hours a week 35+ specialist agents, deploy in minutes Plugs into the ERP & CRM each portco runs Roll out once — a sub-org per portco

Deploy once across the portfolio. Private data, audit trails, SOC 2 — diligence-ready.

Value creationEnterprise value ↑
10× +EBITDA +Multiple 15× ENTRY EXIT
Both terms riseillustrative of the operating model

The reframe

Enterprise value has two terms. Move both.

Enterprise value is EBITDA times a multiple. Most value-creation plans push one term — squeeze cost, or bolt on a growth story — and leave the other where it sits.

Sapience is one of the few levers that moves both at once. An AI workforce takes cost out of the P&L to grow EBITDA, while a real, running AI-native operation lifts the multiple a buyer will underwrite. Buy it as-is. Sell it AI-native.

Lever A · EBITDA Cut the cost of work Agents absorb the back-office and repetitive work across every function — the P&L improves without gutting the business.
Lever B · Multiple Re-rate the story A governed, AI-native operation — not a slide — is the story the next owner pays a higher multiple for.

Lever one · EBITDA

Cut the cost of work, not the business.

Point agents at the work that runs on hours and headcount — finance, operations, customer service, reporting. The business ships the same output on fewer people, and the run-rate comes down at every portco.

Back-office headcount takeout

Specialist agents write, code, research, analyse and report — absorbing the repetitive work that fills a back office, so the same output ships on fewer hours.

Output per head

Work that runs itself

Scheduled agent jobs run reconciliation, reporting and month-end cadences unattended — and teams of agents hand off between each other with no human coordinator in the loop.

Wake up to done

SG&A tool consolidation

One platform replaces the file storage, the notetakers and a sprawl of point subscriptions — files, notes, meetings, projects and chat in one line item, repeatable across the portfolio.

Lower TCO

Analysis without the FTE

A data-analyst agent writes and runs code on the company's own data — variance, cohorts, ops analytics and diligence work — an on-demand analyst that never joins the payroll.

Data scientist, 24×7

Lever two · Multiple

Rewrite the story. From legacy to AI-native.

Buyers pay up for a business that has made AI real — not a strategy slide, a running operation. Sapience is the operating proof: agents in the workflow, every answer cited, every action governed — the AI-native story a strategic or the next sponsor can actually underwrite.

AI in the operation

Not a pilot in a corner — agents doing real work across finance, ops and service, every day. A diligence team can see it running, not just described.

Defensible, cited output

Every answer traces to its source — down to document, page and paragraph. No hallucinated numbers in an IC memo, and a paper trail an acquirer trusts.

A platform, not a seat

Every capability is exposed as an API, so the AI-native operation is built into how the company runs — an asset that transfers with the business, not a licence that leaves.

A ChatGPT rollout is a seat licence a buyer discounts. Agents running the operation — cited, governed, integrated — is EBITDA today and a story the next owner will pay up for.

See the full Buyer's Matrix →

The operating-partner bench

The operating team you'd hire — ready on day one.

Sapience ships with 35+ pre-built specialist agents — each a master of its function, powered by the best model for the job, deployable in minutes. Need bespoke for a specific thesis? Our team builds it on a 7-day turnaround, the agent-factory builds it on demand, or your operating partners build their own.

Diligence Research

Market, competitor and sector benchmarking across the web and the target's own data room — cited, and fast enough for a compressed timeline.

Data Analyst

Writes and runs code on the company's own numbers — QofE support, cohort and margin analysis, ops KPIs — a data scientist on call around the clock.

Contract & Spend Analysis

Chat with thousands of contracts, MSAs and invoices. Surface renewal terms, off-contract spend and savings — the cost-out map, with citations.

Reporting & LP Updates

Turns the numbers into board decks, portfolio reviews and LP updates — drafted, formatted and on time, every reporting cycle.

100-Day & Close

Turns a diligence memo into a work breakdown structure, tracks the plan, flags blockers and runs scheduled jobs — the value-creation plan, on autopilot.

Agent / Skill Catalogue

35+ pre-built agents and skills, ready to install — or a bespoke one built on a 7-day turnaround. Browse the catalogue →

Portfolio-wide by design

Build the playbook once. Deploy it in every portco.

Sapience runs as multi-tenant org hierarchies — one HoldCo instance, a sub-org for each portfolio company, walled off from one another. The value-creation play that worked in the first company replicates into the rest without rebuilding it each time.

One HoldCo, many sub-orgs

Parent-and-sub-org hierarchies give the fund one seat over the whole portfolio, with a separate governed workspace for each company underneath.

Multi-tenant by design

Publish once, replicate

An org admin builds an agent once and publishes it org-wide — the same specialist deployed into every portco instead of rebuilt company by company.

Build once, run everywhere

A dedicated engineer

Each new platform or add-on gets a dedicated Sapience engineer for integration and rollout — so time-to-value holds up as the portfolio grows.

Done-for-you rollout

The economics of a digital workforce

Your best hire works 40 hours a week. An agent works 168.

The best teams now pair humans with agents, working side by side. An agent isn't a cheaper human — it's a different unit of production. Sapience's agents run around the clock, never resign, and scale by cloning instead of hiring. For a portfolio measured on EBITDA and time-to-value, that's a cost curve headcount can't reach.

168 hours a week

Every agent runs nights, weekends and quarter-end — no PTO, no ramp, no attrition. Your best hire works forty, in theory.

Cloned, not hired

Point five specialists at the same backlog at once, across five portcos, without recruiting or onboarding. Scale by cloning, not hiring.

Fixed once

An agent does exactly what it's told, the same way every time. A mistake is corrected once and never recurs — and every step is logged and auditable.

Diligence-ready

Clears the IC. Survives the QofE.

The output has to stand up to an investment committee and a buyer's diligence. Sapience is built so it does — grounded, isolated, and governed to the standard a regulated buyer expects. Designed, for what it's worth, by an operator who has bought and sold companies, not only trained models.

Cited & grounded

Every figure traces to its source — document, page and paragraph. No hallucinated numbers in an IC deck, and none of the liability that comes with them.

Your data stays yours

Data is never shared or used to train shared models. SOC 2, HIPAA-grade controls, granular permissions and strict isolation between orgs — verified by penetration testing.

Hosted where you need it

Managed deployments on AWS, Azure or GCP, private-cloud or isolated instances, with live customers on five continents — fitting whatever a portco's IT already runs.

No FOMO. No lock-in.

The best AI for every job — working with the systems each portco runs.

Each agent uses the model best-suited to its task — OpenAI, Anthropic, Google and more — switchable in seconds, with no rebuild when a new frontier model lands. And Sapience connects to the finance, data and revenue systems a portfolio company already depends on.

How it works

Diligence, hold, exit — one platform across the arc.

01 · DILIGENCE

Point it at the data room.

Agents read the CIM, contracts and data room, and turn the diligence memo into a 100-day plan — before the deal even closes.

02 · HOLD

Deploy the cost-out. Build the story.

Roll agents into every function to take cost out and grow EBITDA — and stand up the AI-native operation that will re-rate the multiple.

03 · EXIT

Hand over an AI-native business.

The next owner inherits a governed, integrated, AI-native operation — cited and auditable — not a pilot that walks out the door.

No rip-and-replace — Sapience works alongside the systems each portco already runs.

Sapience for Private Equity

Buy it as-is. Sell it AI-native.

Two levers move enterprise value. Sapience moves both — cost out of the P&L to grow EBITDA, and an AI-native story that lifts the exit multiple. Across every company you own.