Best CRMs for VCs 2026: Ranked by data model

Quick answer:

• Best overall: Attio, for a fund that wants deal flow, LPs, and fund modeling in one system with no implementation project (free, then $29/user/month)

• Best for multi-fund platforms: DealCloud, deep configuration delivered through an implementation team (five to six figures a year)

• Best for off-the-shelf VC enrichment: Affinity, without building custom objects (from $2,000/user/year)

• Best for solo GPs: folk or Streak, simple deal tracking, no configuration needed ($15-24/user/month)

The best CRMs for VCs support a data model built around funds, LPs, and commitments, not just companies, people, and deals. Attio, DealCloud, and Affinity are the most common choices, and the right one depends on how much configuration a fund is willing to do itself. Each CRM below is judged on one criterion: how far its data model extends past the standard company, person, and deal shape to match how your fund runs, including funds, LPs, commitments, and the warm intro paths that source your deals.

VC CRMs compared by data model

The six CRMs, ranked

1. Attio

Best for: deal flow, LPs, and fund modeling in one system

Attio starts from a blank relational data model rather than a fixed VC template, so a fund can build the objects it needs instead of adapting to a predefined one. The relationship layer is populated automatically from inbox and calendar sync, and automations and AI agents then run against that same data: a workflow can route a new intro to the right partner or flag a deal that has gone quiet without anyone setting a reminder, and a research agent can pull public information on a founder or company into a record on request rather than a principal opening a separate tab to look it up.

Key features:

• Custom objects: build Managed Funds, LP records, and Investor Commitments as first-class objects that connect to existing companies, people, and deals, with dashboards reporting committed versus deployed capital across funds as they update.

• Workflows and automations: route a new intro to the right partner, flag a deal or LP conversation that has gone quiet, or trigger a follow-up, running continuously rather than only when someone opens the CRM.

• Web research agents pull public information on a founder or company from the web directly into a record.

• Attio MCP gives your team's AI tools secure access to your Attio workspace. It's designed to work seamlessly with popular AI assistants like Claude, ChatGPT, Cursor, and more.

• Calls are transcribed automatically, with key details and next steps surfaced without a principal re-listening to find them.

Pricing: free for up to 3 seats; Plus at $29/user/month unlocks unlimited seats and standard objects; Pro at $69/user/month adds custom objects, sequences, and call recording; Enterprise is custom-quoted. (Annual billing; both plans run about 20% higher billed monthly.)

2. DealCloud

Best for: multi-fund platforms

DealCloud's fields, deal stages, dashboards, and reporting views can be configured to match a wide range of investment processes, which makes it a common choice among larger private markets platforms. The trade-off is in how that configuration happens: it is typically implemented for the fund rather than assembled by the fund itself.

Key features:

• Configurable everything: fields, deal stages, dashboards, and reporting views matched to how a firm invests.

• Intapp Assist adds generative summaries and intelligent tagging on top of the platform.

• Automated reporting: turns proprietary and third-party data into dashboards without manual pulls.

Pricing: custom-quoted; reported contracts range from roughly $85,000 to well over $1,000,000 a year, depending on integrations, seats, and complexity.

It is a weaker fit for a lean fund of three to twelve people, where the implementation cost is harder to justify until the firm is running multiple funds with distinct processes.

3. Airtable

Best for: bespoke builds

Airtable's tables, fields, and links can be configured to model almost any structure a fund designs. Its main limitation is that it functions as a database rather than a CRM: it does not ingest email or call activity automatically, so every meeting, intro, and update has to be entered by hand.

Key features:

• Fully custom schema: design any table, field, or relationship, with no fixed object model to work around.

• Email and calls do not sync automatically, so interaction history depends entirely on manual entry.

• Record caps by plan: 50,000 records per base on Team, 125,000 on Business.

Pricing: free for up to 5 editors; Team at $20/user/month (annual); Business at $45/user/month (annual); Enterprise custom.

It is a weaker fit if the team does not reliably log activity without being reminded, since the model only holds up when people enter the data.

4. Affinity

Best for: off-the-shelf VC enrichment

Affinity's core strength is the depth of its VC-specific data: enrichment and analytics built specifically for fund relationships, after years of focus on this one industry. Its data model is more limited in structure. Everything runs through the standard company, person, and deal shape, so anything specific to how a fund operates, such as LP commitments or portfolio events, has to be represented within that same structure rather than as its own object.

Key features:

• VC-specific enrichment: firm and contact data drawn from sources built for deal sourcing, not general sales enrichment.

• Relationship strength and warm intro scoring, built specifically around how funds source deals.

• Fixed object model: companies, people, and deals are first-class; anything else has to fit inside that shape.

Pricing: quote-only, with no published tiers or free trial. Reported figures commonly start near $2,000 per user a year, with AI features and SSO often reserved for higher tiers.

5. folk

Best for: solo GPs

folk is designed to be usable from day one: a browser extension for importing LinkedIn contacts, custom deal objects on its Premium plan, and basic automation, without an implementation phase.

Key features:

• The folkX browser extension imports LinkedIn contacts directly into the CRM while browsing.

• Custom objects on Premium: build deal objects beyond the default pipeline view.

• Magic Fields and built-in AI assistants auto-populate fields for lightweight enrichment.

Pricing: Standard at $24/user/month (annual) covers pipeline and enrichment basics; Premium at $48/user/month (annual) adds custom objects and full interaction history. Enrichment is capped at 500 credits a month, shared across the whole workspace rather than per seat.

It is a weaker fit at higher enrichment volume, since the shared credit pool runs out quickly once a fund is doing meaningful deal flow.

6. Streak

Best for: personal pipelines

Streak runs entirely inside Gmail, so there is no separate tool to open, and setup takes minutes. That also defines its limit: the pipeline view sits on top of the inbox rather than an underlying object model, so there is no way to represent a fund, an LP, or a commitment.

Key features:

• Runs inside Gmail: no separate app to open or keep in sync with the inbox.

• Stages and deal cards layer directly over email threads as a pipeline view on the inbox.

• Free email tracking and mail merge: available permanently, even without a paid plan.

Pricing: Solo at $15/user/month; Pro at $49/user/month; Pro+ at $69/user/month; Enterprise at $129/user/month.

It is a weaker fit for tracking LPs, funds, or more than one person's pipeline, since there is no object model underneath the pipeline view.

FAQ

Do VCs actually need a dedicated CRM, or is a spreadsheet enough?

A spreadsheet works until the fund needs to remember why a deal was passed on eighteen months ago, or which partner has the warmest path back into a founder. A spreadsheet only holds what someone remembers to type in. A CRM that syncs inbox and calendar activity captures the relationship whether or not anyone logs it, which matters because most people never do.

What actually makes switching off a VC-specific CRM hard?

Funds moving off VC-specific tools typically cite cost as the main obstacle, both the price of the new tool and the time needed to migrate years of relationship data, rather than any single missing feature.

Is a fully custom data model overkill for a small fund?

It depends on the setup time rather than the ambition of the model. A three-person fund can build an LP object in an afternoon on a platform designed for self-serve configuration; the same ambition on an enterprise platform can mean a multi-week build.