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Zyos Group

Who we serve · AI for Private Equity

AI for private equity: repeatable value creation across the portfolio.

Four patterns

How agentic transformation actually compounds across a PE portfolio.

Pattern 01

Per-holding maturity assessment

The five-dimension scorecard run against each portfolio company gives the PE team a comparable readiness map across the portfolio, and routes investment into the holdings with the biggest unlock.

Pattern 02

Standardized operating model

Same OS, different architectures. The operating model, Measure → Deliver → Continuously Improve, rolls out consistently across holdings while the architecture stays context-specific.

Pattern 03

Cross-portfolio agent deployments

Agents productized at one portco compound when redeployed to the next. The platform IP retained on Zyos OS makes engagement-N faster than N–1.

Pattern 04

QBR cadence with the deal team

Per-portco QBR + a roll-up review with the PE team. Value-impact recap + variance vs target + re-prioritization, the artifact the IC can defend.

Primary offering

Build & Operate Retainer for rapid transformation per portco.

Productized for build+ops engagements where the spec is intentionally incomplete at signing. The discovery happens IN the engagement, exactly the shape PE value-creation work usually needs.

Exit readiness

The portfolio company owns what we build.

Every Architecture Brief addresses ownership, portability, vendor-lock-in mitigation, and the customer's ability to take the solution independent if the Zyos relationship ends. Retention through value, not through capture.

For PE deal teams + operating partners

One conversation per portco. One operating model across all.

Start with the holding that has the biggest readiness-vs-upside gap. The Opportunity Engine identifies it.