PTV is a specialist venture capital firm investing in IT Infrastructure Software — the system software layer that becomes more critical as AI workloads expand
Approach
Our investment strategy
We deploy capital across two complementary pillars of system software:
Pillar 1: AI-Native System Software
AI introduces entirely new requirements — model governance, data privacy for LLMs, audit trails, GPU cost control. A new generation of purpose-built software tools is required. We invest in Vector Databases, LLMOps platforms, Agent Frameworks, GPU Orchestration tools, etc.
Pillar 2: Next-Gen Traditional System Software
IT spend exceeds $4T/year and growing. Cloud-native production adoption is only 20–25%. AI adoption will accelerate the transition to next-generation tools across Observability, Data Infrastructure, Security, FinOps / Cost Control, etc.
AI Downside Protection
Even if the AI application bubble bursts, our portfolio remains resilient. We invest in fundamental software building blocks — products with high switching costs, compliance lock-in, and multi-year enterprise contracts — ensuring growth with or without AI.
Our resources / What we offer?
A wide international network of consultants and advisers with proven results in various areas of company building
Access to seed and growth capital both from PTV and other sources
Broad expertise and a hands-on approach of PTV management in building and selling businesses
Extensive ties with global venture capital firms and accelerators
Unique partners who can provide startups with access to large corporations and help convert them to startup clients
Personal business contacts of partners and current fund LPs used to make a warm introduction with startup’s potential clients
PTV Strategy
Investment focus
We invest in IT Infrastructure Software — system software that keeps IT and core business operations running. We target startups with usage-based pricing models, which is especially relevant as enterprises shift toward AI and cloud-native environments.
We invest at Seed and Series A stages in system software companies with usage-based revenue models.
We also make early Pre-Seed bets in projects with strong developer adoption and technical traction.
Substantial follow-on reserves allow us to double down on our strongest performers at later rounds.
What do we look for
System Software DNA
Does your product sit at the infrastructure layer? We invest in observability, data infrastructure, security, cost control, DevTools, and AI-enabling middleware.
We do not invest in end-user applications or vertical SaaS.
AI Vulnerability Score
We ask one key question: “If AI could do anything for free, would this product be needed more, the same, or less?”
We invest only in software that AI needs more of — not software AI can replace.
Usage-Based Pricing
We look for business models where revenue grows with workload, not headcount.
Usage-based pricing is the only model that captures the AI fan-out effect, where one AI request triggers 20–50x more infrastructure calls.
Enterprise Stickiness
The best system software creates structural lock-in: you can switch your project management tool in a weekend, but you cannot switch your database without re-engineering your entire stack.
We look for products with high switching costs, compliance dependencies, and multi-year enterprise contracts.
Revenue & Traction (Seed / Series A)
For our core Seed and Series A investments, we look for companies with existing revenue — ideally usage-based.
Revenue should demonstrate that it grows with workload volume, not with the number of sales reps.
Developer Adoption (Pre-Seed)
For earlier-stage investments, we track developer traction: GitHub activity, commit velocity, fork rate, and organic community growth.
We identify breakout projects through data, not pitch decks.
