Master the art of fund creation, configuration, and lifecycle management in Nagare. This comprehensive guide covers everything from your first fund to advanced portfolio strategies.
Fund Management is the core of Nagare's portfolio intelligence platform. A fund represents a single investment vehicle—whether it's a venture capital fund, private equity buyout fund, real estate fund, or even a public market portfolio.
Each fund has a MASTER parameter set that defines its baseline characteristics (commitment size, vintage year, expected returns, fee structure, etc.). This master definition serves as the foundation for all forecasting and scenario analysis.
Define fund structure, commitment size, vintage year, and performance targets
Upload historical transactions from capital statements to track real performance
Generate quarterly projections for capital calls, distributions, and NAV
Model what-if scenarios with different assumptions (bear case, base case, bull case)
Creating a fund in Nagare is straightforward. You can do it through the web interface or programmatically via the API.
Navigate to the Funds page from the left sidebar

Click the "New Fund" button in the top right
Fill out the fund creation form with your fund details

Click "Create Fund" to save (or "Save as Draft" to save without activating)
You can also create funds by uploading a PDF document (PPM, fund deck, capital statement). Nagare's AI will extract fund parameters automatically and pre-fill the form. Click the "Upload Fund Document (PDF)" tab in the creation dialog.
For programmatic access or bulk fund creation, use the REST API:
curl -X POST https://api.nagarehq.com/api/v1/funds \
-H "Authorization: Bearer fnd_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"fundId": "ACME-GROWTH-I",
"fundName": "Acme Growth Fund I",
"firmName": "Acme Capital",
"fundType": "GROWTH_EQUITY",
"currency": "USD",
"vintage": 2024,
"status": "DEPLOYING",
"parameters": {
"totalCommitment": 50000000,
"investmentLines": 20,
"startDate": "2024-01-01",
"duration": 10,
"extension": 2,
"targetGrossTVPI": 3.0,
"managementFee": 0.02,
"hurdleRate": 0.08,
"carriedInterest": 0.20,
"commitmentDate": "2024-01-01"
}
}'The API will return the created fund with a generated parameterIdfor the MASTER parameters:
{
"fundId": "ACME-GROWTH-I",
"fundName": "Acme Growth Fund I",
"firmName": "Acme Capital",
"fundType": "GROWTH_EQUITY",
"currency": "USD",
"vintage": 2024,
"status": "DEPLOYING",
"parameterId": "ACME-GROWTH-I-MASTER-v1",
"parameters": {
"totalCommitment": 50000000,
"investmentLines": 20,
"targetGrossTVPI": 3.0,
"managementFee": 0.02,
...
},
"tenantId": "your-tenant",
"createdAt": "2024-01-15T10:30:00Z",
"updatedAt": "2024-01-15T10:30:00Z"
}Fund parameters are the heart of Nagare's forecasting engine. They define how capital will be deployed, when exits are expected, what returns are targeted, and how fees are calculated.
The total committed capital to the fund (in fund currency). This is the maximum amount that can be called from LPs.
Number of portfolio companies expected to be invested in. Used to calculate deployment pacing and diversification.
Target Total Value to Paid-In multiple (gross of fees). This is the primary return metric.
Fund life in years (duration) plus optional extension period. Together they define the fund's total lifespan.
Annual management fee as a decimal (charged on committed capital during investment period, then on NAV).
Percentage of profits (carry) paid to GP after clearing the preferred return (hurdle rate).
For PE funds (VC, Buyout, Growth Equity), you can specify detailed deployment and exit curves:
"deploymentCurve": [
{ "quarter": 1, "percentDeployed": 0.05 },
{ "quarter": 2, "percentDeployed": 0.10 },
{ "quarter": 3, "percentDeployed": 0.15 },
{ "quarter": 4, "percentDeployed": 0.20 },
{ "quarter": 5, "percentDeployed": 0.25 },
{ "quarter": 6, "percentDeployed": 0.15 },
{ "quarter": 7, "percentDeployed": 0.08 },
{ "quarter": 8, "percentDeployed": 0.02 }
]"exitCurve": [
{ "quarter": 12, "percentExited": 0.05 },
{ "quarter": 16, "percentExited": 0.10 },
{ "quarter": 20, "percentExited": 0.15 },
{ "quarter": 24, "percentExited": 0.20 },
{ "quarter": 28, "percentExited": 0.25 },
{ "quarter": 32, "percentExited": 0.15 },
{ "quarter": 36, "percentExited": 0.08 },
{ "quarter": 40, "percentExited": 0.02 }
]If you don't provide custom curves, Nagare will generate industry-standard curves based on fund type: VC (J-curve, 5-year investment period), Buyout (3-year deployment, 7-year harvest), Real Estate (even deployment, gradual harvest).
Nagare supports a wide range of fund types, each with specialized modeling logic:
Early-stage startups. Long J-curve, 5-7 year investment period, high risk/return (2.5-4.0x TVPI).
Growth-stage companies. Moderate J-curve, 3-5 year investment period (2.0-3.0x TVPI).
Leveraged buyouts. Short deployment (2-3 years), 5-7 year hold (1.8-2.5x TVPI).
Secondary market transactions. Fast deployment, shorter hold period (1.5-2.0x TVPI).
Commercial/residential property. Gradual deployment & harvest, yield + appreciation (1.5-2.5x TVPI).
Long-term infrastructure projects. Stable cashflows, long duration (1.3-1.8x TVPI).
Direct lending, distressed debt. Regular interest + principal, lower risk (1.3-1.6x TVPI).
Stocks, ETFs. Modeled with annual growth rate + dividend yield.
Bonds, treasury securities. Fixed coupon payments + principal return.
You can mix different fund types in a single portfolio. Nagare will aggregate them correctly, converting currencies and handling different cashflow patterns seamlessly.
Once you've created funds, you can view, search, filter, and drill into detailed analytics.
The main Funds page shows all funds in a table with key metrics:

Use the filters at the top to narrow down funds:
Search by fund name or ID
Filter by VC, Buyout, RE, etc.
Filter by lifecycle stage
Click any fund to see its detailed view with:

Key metrics, commitment, vintage, TVPI target, cashflow chart
Quarterly projections table (capital calls, distributions, NAV, IRR)
Historical actuals uploaded from capital statements
Blended view combining historical actuals + future projections
Variance analysis (plan vs actual), forecast drift detection
Linked PDFs (PPMs, capital statements) with AI search
View/edit MASTER, FORECAST, BASELINE parameters
Version history showing all parameter changes over time
Fund parameters can be updated as your assumptions change. Nagare uses a versioned parameter systemto track all changes over time.
When you update a fund, Nagare creates a new version of the MASTER parameters and marks the old version as inactive. This preserves historical context and enables time-travel analysis ("What did we forecast in Q3 2023?").
Navigate to the fund details page
Click the "Edit" button in the top right
Modify the parameters you want to change
Click "Save Changes" to create a new version
Click "Recalculate" to update projections with new parameters
Use the PUT endpoint to update fund parameters:
curl -X PUT https://api.nagarehq.com/api/v1/funds/ACME-GROWTH-I \
-H "Authorization: Bearer fnd_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"parameters": {
"targetGrossTVPI": 3.5,
"investmentLines": 25
}
}'The API will create a new parameter version (v2, v3, etc.):
{
"fundId": "ACME-GROWTH-I",
"parameterId": "ACME-GROWTH-I-MASTER-v2",
"version": 2,
"parameters": {
"targetGrossTVPI": 3.5,
"investmentLines": 25,
...
},
"updatedAt": "2024-02-10T14:20:00Z"
}After updating parameters, you must trigger a recalculation to update projections. The UI does this automatically, but via API you need to call the calculation endpoint explicitly.
Funds progress through several lifecycle stages. Understanding these stages helps you manage your portfolio effectively.
Initial state. Fund is being configured but not yet active. Not included in portfolio calculations.
Raising capital from LPs. Commitment amount may still be changing. Included in portfolio with projected commitment.
Actively making investments. Capital calls are frequent. Commitment is final. Projections show J-curve effect.
Exiting investments. Distributions exceed capital calls. NAV peaks then declines. Portfolio returns materialize.
In extension period. Final exits occurring. Most distributions complete. Tail-end portfolio companies remain.
Fund is fully liquidated. All investments exited. Final distributions made. Historical record only.
Fund has been deactivated (soft deleted). Not shown in default views. Can be restored if needed.
You can manually set the status when creating/editing a fund. Nagare can also auto-update status based on actual transactions (e.g., first capital call → DEPLOYING, final distribution → CLOSED).
Use a consistent naming scheme like FIRM-STRATEGY-VINTAGE(e.g., "ACME-GROWTH-2024", "BRK-BUYOUT-2023"). This makes funds easily identifiable in reports and APIs.
When creating new funds, use conservative TVPI targets based on historical benchmarks for that strategy. You can always update them as performance materializes. Better to exceed expectations than miss them.
As you receive capital statements each quarter, upload the actual transactions immediately. This keeps your blended actuals+projections view accurate and enables powerful variance analysis.
The MASTER parameters define the fund's baseline. If you need custom deployment schedules or exit timing for a specific fund (not scenario-wide), create FORECAST parameters with detailed curves.
Use tags to categorize funds (e.g., "GP Stakes", "Co-Investments", "Secondaries", "Mature", "Young"). This enables powerful filtering and custom portfolio views.
When updating fund parameters, consider adding a note in your internal documentation explainingwhy the assumptions changed (e.g., "Manager lowered TVPI target based on H1 2024 performance").
Here are complete, real-world API examples for common fund management tasks:
curl -X GET "https://api.nagarehq.com/api/v1/funds?page=1&limit=20&sort=vintage" \
-H "Authorization: Bearer fnd_live_YOUR_API_KEY"curl -X GET https://api.nagarehq.com/api/v1/funds/ACME-GROWTH-I \
-H "Authorization: Bearer fnd_live_YOUR_API_KEY"curl -X DELETE https://api.nagarehq.com/api/v1/funds/ACME-GROWTH-I \
-H "Authorization: Bearer fnd_live_YOUR_API_KEY"DELETE sets the fund status to INACTIVE. The fund and its data remain in the database but are hidden from default views. You can restore it by updating the status back to an active state.
The blended view combines historical actuals (from transactions) with future projections, giving you a complete picture of a fund's lifecycle:
curl -X GET https://api.nagarehq.com/api/v1/funds/ACME-GROWTH-I/blended \
-H "Authorization: Bearer fnd_live_YOUR_API_KEY"Returns quarterly data with dataSource field indicating whether each quarter is from ACTUAL (transactions) or FORECAST (projections).
Common causes: Missing required fields (totalCommitment, investmentLines, targetGrossTVPI), invalid fund type enum, negative numbers for commitment/lines.
Solution: Check API response for specific validation errors. Ensure all required parameters are present and use valid enum values from the API documentation.
Cause: Updating fund parameters creates a new version but doesn't automatically recalculate.
Solution: After updating via API, trigger a calculation by creating/updating a scenario that includes this fund. In the UI, click the "Recalculate" button.
Common causes: Custom deployment/exit curves don't sum to 1.0, missing quarters in custom curves.
Solution: Ensure custom curves cover all deployment/exit periods and percentages sum to ~1.0. Check the Parameters tab to verify your curves.
Cause: Net TVPI is auto-calculated from Gross TVPI minus fees (management fee, carried interest).
Solution: This is expected behavior. Net TVPI typically ~85% of Gross TVPI for standard 2/20 fee structure. Verify your fee parameters if the discount seems too large.
Common causes: Fund status is DRAFT or INACTIVE, or fund is in different tenant.
Solution: Check the status filter dropdown. Click "All Statuses" to show drafts and inactive funds. Verify you're in the correct tenant (check top-right tenant selector).
Now that you understand fund management, explore other powerful features like scenario modeling, Monte Carlo simulations, and AI-powered document analysis.