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Private equity

Your PortCos are running on spreadsheets. Your LPs are asking about AI transformation.

AI-powered fund operations: portfolio-wide automation, institutional financial controls, and streamlined reporting that eliminates lengthy manual consolidation.

AWS
Boosted.ai
Cohere
Microsoft
Nasdaq
Sedgwick

Use cases

Where is manual work eating your hold-period returns?

These are the workflows we deploy most often for private equity operators. Start with the one hitting your hold-period returns hardest.

Portfolio AI transformation

Your portfolio companies know they need AI. They don’t know where to start.

Deploy AI as a coordinated operational program, not a series of disconnected experiments.

Impact
Measurable workflow automation
Headcount efficiency trackable at fund level
Margin expansion

Unified data infrastructure

Spreadsheets across deal teams, entities, ops, data rooms, third-parties fragment your view.

Consolidate fragmented data across funds and portfolios into an AI-ready infrastructure layer.

Impact
Single source of truth across all entities
AI-ready data architecture
Reduced reliance on manual spreadsheets

Investment automation across asset classes

Underwriting and diligence still runs on analyst hours and PDFs.

Process credit packages and diligence workflows in a fraction of the time without cutting corners.

Impact
Faster deal processing
Fewer analyst hours per transaction
Consistent, repeatable underwriting outputs

Fund operations & finance

Critical processes are manual and error prone, hampering your ability to achieve leverage as you scale.

Bring agentic automation to critical processes with human in the loop signoff and a full audit trail.

Impact
Faster close cycles
Deterministic, auditable outputs

FP&A & scenario planning

You're modeling capital allocation across multiple entities, currencies, and jurisdictions in Excel.

Replace it with AI forecasting, scenario modeling, and capital allocation built for fund complexity.

Impact
Real-time scenario modeling
Consistent capital allocation logic
across entities
Faster decisions on current data

Security

Certified and compliant.

Our commitment to enterprise-grade security is one reason nearly every major foundation model has relied on Invisible to accelerate the development of their AI applications.

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Our approach

We embed with your team, observe how work flows, and build systems that align with what’s already in motion.

Trusted by

Invisible delivered a faster, more accurate AI investment assistant at 90% lower cost that unlocked real-time insights.

Invisible improved Cohere’s data quality and scalability, enhancing multilingual, coding, and reasoning capabilities to strengthen its enterprise-ready AI performance.

Invisible helped Nasdaq streamline a data integration process, reducing customer onboarding time and saving 10,000 developer hours.

Invisible's team worked within the client's platform to review model conversations from the research team and assess the level of accuracy of the model responses.

Invisible's team stepped in to review partially completed conversations between different models. We analyzed the search results, reference material, and model responses.

Let's build it.

We'll show you exactly where AI fits — and where it doesn't. No pressure. No jargon.
Book a demo