Portfolio company use case · Private equity

The product & SaaS company

Verified anchor — DataJoint · Blinded context — Snowflake system integration partner

Product platforms live and die by shipping velocity, architecture reliability, and outcome-based pricing models.

For a fund holding a product company, engineering throughput is the schedule — every quarter of slip moves the next raise or the exit with it.

The problem
  • Software moats are compressing, and seat-based pricing models face severe post-close pressure.
  • Engineering roadmaps outpace internal capacity, but hiring a full US tech org burns runway and compresses EBITDA.
  • High-churn contractor shops yield sloppy, undocumented code that creates vendor lock-in.
The Agilyti solution
  • Managed engineering pods embedded directly into active PortCo sprint cycles, not a detached vendor working from a spec document.
  • Deep, outcome-based AI capabilities built into core workflows — not superficial wrappers — under strict CISO-level security protocols.
  • A Build-Operate-Transfer framework that hands full IP ownership, codebase access, and team assets to the PortCo once the model is proven.
Why it matters to the fund

Accelerates feature delivery while preserving capital. Through our Build-Operate-Transfer framework, the fund stands up high-velocity product engineering now and transfers full IP ownership, codebase access, and team assets directly to the PortCo’s balance sheet once proven.

Every portfolio asset has a different operational starting point, but the exit mandate remains identical: drive EBITDA margin expansion, eliminate key-person dependency risk, and transition internal systems from messy operational liabilities into permanent, balance-sheet assets.

Shipping on schedule at a lower burn is the difference between a priced-up round and a down one.

Agilyti — Embedded engineering teams for portfolio companiesBook a 20-minute portfolio review