AI Value Creation Partner for PE & VC Portfolios
We help funds identify, validate, and deploy production AI systems across portfolio companies and investment operations — turning AI into measurable revenue, EBITDA, and exit value impact.
Move From AI Experimentation to Scaled, Portfolio-wide Impact
Across funds, we consistently see challenges such as:
Official Partners
We’re proud to be official partners of AI leaders, giving us and our clients access to cutting-edge, state-of-the-art technologies and ensuring that we remain at the forefront of applied AI.
Embedded AI Engineering Partner for Your Portfolio
Make AI a predictable value driver across your investments.
We work with investment teams and portfolio company leadership to identify, validate and scale AI initiatives that directly impact:
Multiple expansion
AI-built product features and agentic channels that accelerate revenue growth, strengthen competitive positioning and improve the equity story at exit.
EBITDA improvement
agentic automations that compress cost-to-serve and improve margins and drive operational efficiency across the organization.
We turn fragmented AI activity into production-grade initiatives with clear business ownership, measurable impact, and a path to scale across the portfolio.
Phase 1 — AI Advisory: Discovery, Enablement & Planning
We conduct an AI readiness assessment, align stakeholders and identify the highest-value implementation opportunities.
What we do:
- assess AI maturity, workflows and operational readiness
- conduct stakeholder and executive interviews
- identify high-value AI opportunities across growth, margin and operational efficiency
- run AI enablement and discovery workshops
- prioritize use cases based on business impact, feasibility and time-to-value
- develop an AI roadmap with implementation priorities, success criteria and scaling recommendations
- define milestones, ownership and go/no-go criteria
Phase 2 — Engineering Acceleration: Solution Building
We turn validated AI opportunities into production-grade systems and scalable capabilities.
What we do:
- align teams, architecture and delivery process
- build AI features and workflows in short implementation sprints
- validate technical viability and business impact through early demos
- optimize quality, reliability, cost and edge-case handling
- transfer code, documentation and operational ownership
A Repeatable AI Operating Model for Your Portfolio
Deploy AI more efficiently across portfolio companies with a trusted implementation partner, consistent methodologies, and reusable best practices.
Consistency across portfolio — one approach, comparable outcomes
Faster execution — no need to re-learn or re-vendor per company
Lower risk — proven model instead of multiple experiments
Scalable impact — reuse what works across assets
As a result, time and capital are spent — without impact on valuation.
Additional value for funds
Beyond portfolio execution, we also support funds directly by:
- improving investment decision-making (AI-assisted analysis, benchmarking, opportunity identification, AI solution technical due diligence)
- enabling better portfolio tracking and performance visibility
- building internal AI capabilities (e.g. agent-based research, monitoring tools)
This helps funds operate faster and make more informed decisions — not just improve portfolio companies.
Our AI State-of-the-Practice
AI Value Creation Guidance and Advisory
project
Investment Research Agent for an AI-Native Portfolio Management Platform
The scalable foundation can be extended with additional capabilities such as scenario stress testing, portfolio strategy optimization, or portfolio rebalancing.
project
Competitive Intelligence for Structured Tracking of Insurance Innovation
Instead of manually reviewing large volumes of data sources, stakeholders could quickly identify relevant innovation signals, compare competitors across selected dimensions, and…
project
Streamlining Data Processing with Ray Infrastructure Optimization
The client adopted our recommendation to transition to the Anyscale Platform, reducing internal tooling maintenance and improving Ray adoption.
project
Stock Market Fraud Prevention with AI-Powered Detection
We developed a web monitoring system that analyzes investment-related social media, forums, and message boards.
Still have questions?
How can PE and VC funds create value with AI across portfolio companies?
By identifying use cases with direct revenue, margin, efficiency, or decision-making impact; validating business KPIs; and scaling proven solutions across similar assets.
What does deepsense.ai do for portfolio companies?
deepsense.ai helps portfolio companies move from AI opportunity identification to business-case validation, architecture, development, integration, and production deployment.
Can you support both the fund and the portfolio company CEO?
Yes. We work with investment teams, operating partners, value creation teams, and portfolio company leadership to align AI initiatives with business priorities and execution ownership.
How do you avoid disconnected AI pilots?
We use a stage-gated model: define value, prove what works, and scale only initiatives with clear KPIs, ownership, and business impact.
Can you support fund-level AI use cases?
Yes. We support AI-assisted due diligence, market research, benchmarking, portfolio monitoring, internal research, and investment operations.