Gemini brings the models.

V7 Go turns them into how your firm works.

Use Gemini models inside workflows your firm defines once and runs every day.

Shaping the

future

of investment intelligence

Shaping the

future

of investment intelligence

Shaping the

future

of investment intelligence

How V7 Go runs Gemini models in production

Constance Freedman
Founder and Managing Partner
Moderne Ventures
Screening, diligence and portfolio monitoring: which step calls which model, and where a person checks it.

Not a data room, CRM or portfolio management system. V7 Go is the context layer for private markets, and every output traces back to its source.

V7 Go is where AI work becomes firm process

Gemini is where reasoning begins. V7 Go is where it becomes process.

One good answer from an assistant is a good afternoon. Two hundred documents reviewed the same way, each figure cited, is a capability.

One workflow, every document that arrives.

The same defined steps run across everything your firm already holds:

Any document

Data rooms

CRM records

IC memos

Financials

Diligence notes

Source citations

Investment memos

Same input, same structure, whoever runs it.

One workflow, every document that arrives.

Any document

Data rooms

CRM records

IC memos

Financials

Diligence notes

Source citations

Investment memos

Same input, same structure, whoever runs it.

Underwriting, diligence, portfolio monitoring

Insurance and private markets teams run V7 Go on the work that decides deals:

Screen CIMs

Draft IC memos

Build tear sheets

Extract financials

Review data rooms

Create risk dashboard

Defined steps and typed outputs, with a review point where judgment belongs.

Underwriting, diligence, portfolio monitoring

Screen CIMs

Draft IC memos

Build tear sheets

Extract financials

Review data rooms

Create risk dashboard

Defined steps and typed outputs, with a review point where judgment belongs.

And it runs from Gemini, when that is where your team works

Configure the workflow once, then run it from the Gemini environment your team already uses.

Ask questions like:

“Summarize what we know about this company.”

“Pull the latest financials from the data room.”

“Compare this CIM against our past IC memos.”

“Find the source behind this revenue figure.”

Every answer stays connected to the underlying source.

And it runs from Gemini, when that is where your team works

Ask questions like:

“Summarize what we know about this company.”

“Pull the latest financials from the data room.”

“Compare this CIM against our past IC memos.”

“Find the source behind this revenue figure.”

Every answer stays connected to the underlying source.

Comparative Benchmarks

V7 Go Complements Gemini, Claude & OpenAI

Your key, your choice of model, the same steps on every document in the room.

Your key, your choice of model, the same steps on every document in the room.

Claude

OpenAI

Gemini

Gemini alone

Gemini with V7 Go

Deal lifecycle coverage

One-off analysis, no pipeline

Screening → Diligence → Monitoring

CIM and data room analysis

Big context, still one pass at a time

Every document, treated the same

Engineering dependency

You build and maintain the pipeline

Configure fields, no code

Integration ecosystem

Sheets, Drive, BigQuery, Workspace

Same sources, plus MCP write-back

Time to value

Instant solo, slow to productionize

Working pipeline the same day

Summary

Great assistant, nondeterministic

Infrastructure for repeatable output

Bring your own Google key

Pick Gemini per field

Drive it back from Gemini over MCP

Built for finance teams. Automates the full deal lifecycle end-to-end, out of the box.

Claude

OpenAI

Gemini

Gemini alone

Gemini with V7 Go

Deal lifecycle coverage

One-off analysis, no pipeline

Screening → Diligence → Monitoring

CIM and data room analysis

Big context, still one pass at a time

Every document, treated the same

Engineering dependency

You build and maintain the pipeline

Configure fields, no code

Integration ecosystem

Sheets, Drive, BigQuery, Workspace

Same sources, plus MCP write-back

Time to value

Instant solo, slow to productionize

Working pipeline the same day

Summary

Great assistant, nondeterministic

Infrastructure for repeatable output

Bring your own Google key

Pick Gemini per field

Drive it back from Gemini over MCP

Built for finance teams. Automates the full deal lifecycle end-to-end, out of the box.

What a defined workflow looks like

Each one is a fixed sequence of steps. Run it from V7 Go, or with Gemini.

"Screen this CIM"

What

does

"Draft the IC memo"

What

does

“Triage this submission”

What

does

“Find the source for this number”

What

does

Enterprise-grade security.

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security.

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Enterprise-grade security.

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.

  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

One answer is a demo. Ten thousand is infrastructure.

Run Gemini models inside workflows your firm defines. We build the first ones with you. Every answer cites its source, and every run is logged.