10x the output Not 10x the headcount
We partner with PE firms to drive AI-native transformation at two levels: building the data infrastructure the fund itself runs on, and modernizing the technology inside portfolio companies to accelerate value creation. One relationship. Dozens of transformation opportunities.
Every quarter without transformation is a quarter of unrealized value.
Portfolio companies run on legacy
Most PE-backed companies operate on systems built for a previous era — on-premise software, manual workflows, spreadsheets as databases. The technology is a liability, not a lever.
The hold period doesn't wait
A typical PE hold is 3–7 years. A 12-month platform build is a luxury. A failed first attempt is a disaster. Every quarter that passes without operational improvement is unrealized enterprise value.
Fund-level data is manual too
Portfolio monitoring relies on spreadsheets emailed from 20 companies in 20 different formats. LP reporting is a quarterly fire drill. There's no unified view of performance — just assembled approximations.
Operating teams lack engineering capacity
Value creation partners know what needs to change. They rarely have the internal engineering team to make it happen — especially at the speed the portfolio demands.
Measurable value creation
Technology transformation expressed in EBITDA impact, margin improvement, and operational leverage — not feature lists. Every initiative tied to the investment thesis.
Compressed timelines
What would take an internal team 12–18 months, we deliver in weeks to months. Pre-built architecture, proven playbooks, and engineers who've done this before.
One relationship, many engagements
A single fund partnership unlocks transformation across the entire portfolio. Assess five companies, transform three, operate two — all through one trusted partner.
Exit-ready technology
When the platform is modern, the data is clean, and operations are automated, the exit story writes itself. Technology becomes a value driver, not a risk factor.
Portfolio companies run on legacy
Most PE-backed companies operate on systems built for a previous era — on-premise software, manual workflows, spreadsheets as databases. The technology is a liability, not a lever.
The hold period doesn't wait
A typical PE hold is 3–7 years. A 12-month platform build is a luxury. A failed first attempt is a disaster. Every quarter that passes without operational improvement is unrealized enterprise value.
Fund-level data is manual too
Portfolio monitoring relies on spreadsheets emailed from 20 companies in 20 different formats. LP reporting is a quarterly fire drill. There's no unified view of performance — just assembled approximations.
Operating teams lack engineering capacity
Value creation partners know what needs to change. They rarely have the internal engineering team to make it happen — especially at the speed the portfolio demands.
Technology assessment & transformation roadmap
ROI tied to enterprise value — built for investment committee presentation.
Legacy system rebuilds and data liberation
From outdated platforms into infrastructure the company owns and controls.
Unified data infrastructure at the fund level
Portfolio monitoring, LP reporting, analytics — one source of truth.
AI-native operations across portfolio companies
Automation, agents, and intelligence embedded in business workflows.
Forward-deployed engineers at the fund or inside portcos
Build, operate, and embed — wherever transformation needs to happen.
Measurable value creation
Technology transformation expressed in EBITDA impact, margin improvement, and operational leverage — not feature lists. Every initiative tied to the investment thesis.
Compressed timelines
What would take an internal team 12–18 months, we deliver in weeks to months. Pre-built architecture, proven playbooks, and engineers who've done this before.
One relationship, many engagements
A single fund partnership unlocks transformation across the entire portfolio. Assess five companies, transform three, operate two — all through one trusted partner.
Exit-ready technology
When the platform is modern, the data is clean, and operations are automated, the exit story writes itself. Technology becomes a value driver, not a risk factor.
We work at the fund level and inside portfolio companies.
PE is unique because the transformation opportunity lives in two places — the firm's own data infrastructure and the technology inside each portfolio company. We serve both, and the two reinforce each other.
Data Infrastructure & Intelligence
Portfolio monitoring & reporting
LP reporting automation
Portfolio analytics & benchmarking
Value creation tracking
Due diligence support
Technology Transformation
Digital transformation
Data platform modernization
Data liberation
AI-native operations
Scalability for growth
Five services. Two dimensions. One partner.
Whether we're building the fund's own data infrastructure or transforming a portfolio company's technology stack, the same service layers apply — configured for the context.
Vecten Compass
Transformation Workshop
The entry point for both fund-level and portfolio company engagements. A rapid, fixed-fee assessment that produces a prioritized AI transformation roadmap.
- At the fund level: assess data infrastructure, reporting workflows, and AI readiness
- At the portfolio company level: assess technology, map legacy systems, and produce a transformation plan with ROI estimates for the investment committee
- Portfolio-wide option: run Compass across multiple portfolio companies to prioritize where transformation delivers the highest return
- Output designed for operating partners, CFOs, and investment committees
Vecten Core
AI-Native Data Platform
A unified data foundation deployed in the client's cloud — at the fund level or inside portfolio companies — and managed on subscription.
- Fund-level: aggregates portfolio data from all companies into a single source of truth for monitoring, reporting, and analytics
- Portfolio company level: unifies fragmented internal data into a clean, AI-ready foundation
- Pre-built integrations for common data sources in financial services and enterprise environments
- Your data, your cloud. We operate the engine. Full ownership, no lock-in.
Vecten Edge
Intelligence Layer
ML models, LLM workflows, AI agents, and custom integrations — built on unified data, embedded in existing tools, running in production.
- Portfolio analytics, benchmarking models, and value creation dashboards at the fund level
- Operational automation, predictive models, and intelligent workflows inside portfolio companies
- AI agents for monitoring, reporting, compliance validation, and data enrichment
- Integration engineering connecting systems across the fund and its portfolio
Vecten Forge
Transformation Projects
Discrete, scoped projects that reshape the systems a company runs on. The service most specific to PE portfolio company transformation.
- Forge: Recast — legacy applications rebuilt as AI-native systems on modern cloud infrastructure. Same business logic, fundamentally better architecture
- Forge: Liberate — data extracted from legacy platforms, cleaned, restructured, and migrated into infrastructure the company owns
- Fixed scope, defined milestones, and outcomes that translate directly to enterprise value creation
Vecten Drive
Continuous Operations
Forward-deployed engineers and AI agents on monthly subscription — operating at the fund level or embedded inside portfolio companies.
- Senior engineers who build, extend, and operate the systems delivered through Core, Edge, and Forge
- AI agents running 24/7: monitoring, enriching, validating, reporting — compounding operational capability every month
- One subscription covering engineers and AI costs. Predictable. Scalable.
- Flexible deployment: at the fund, inside a portfolio company, or split across both
“PE is where our work has the most direct line to enterprise value. Every dollar of operational improvement flows straight to returns. We've seen it from both sides — building fund-level data platforms for firms managing hundreds of billions, and embedding in portfolio companies to rebuild the systems that constrain growth. That dual perspective, combined with staying at the frontier of what AI can actually deliver in production, is what makes the transformation real — not theoretical.”
Proven at the fund level and inside portfolio companies.
Our PE work spans unified data platforms for firms managing hundreds of billions, complete platform rebuilds for PE-backed companies, and data engineering that drives measurable operational improvement.
Your portfolio companies are sitting on untapped leverage
Whether you need a data foundation at the fund level, a technology assessment across the portfolio, or a transformation partner embedded inside a company that needs to move fast — we've done this before, at scale, for firms that don't accept anything less than measurable results.