Attio for VC and PE funds

Why funds are leaving Affinity and spreadsheets

Every fund CRM conversation we have starts in one of two places. Either the dealflow lives in a spreadsheet and three partners' inboxes, or the firm pays for Affinity and has slowly stopped believing in it. Both groups arrive with the same symptom: the firm's network, its single most valuable asset, is not queryable.

Where spreadsheets break

Spreadsheets hold up until the fund raises a second vehicle or hires a fourth investor. Then the cracks open fast. Nobody logs interactions, so relationship memory lives in heads and leaves with them. There is no concept of an introduction, so warm paths to a founder get rediscovered by accident, months late. Deal stages are a column someone forgets to update before the partner meeting. And when an LP asks how many fintech deals you reviewed last year, the answer is an afternoon of archaeology across four tabs and two inboxes.

Where Affinity disappoints

Affinity earned its place by doing one thing brilliantly: automatic relationship capture from email and calendar. That part still works. The complaints we hear are about everything around it. Pricing commonly lands somewhere between $2,000 and $2,700 per seat per year, billed annually, which stings when half the seats belong to partners who barely open the tool. The data model is built around Affinity's idea of a deal, so the moment you want LP fundraising, co-investor tracking, portfolio support and dealflow in one coherent system, you are fighting the product. Reporting is shallow. And the API, while real, was clearly never the product's center of gravity, which caps what you can automate on top of it.

The trigger is usually one of three events. A new fund to raise, which makes LP pipeline tracking suddenly serious. A platform or ops hire who actually audits the stack. Or an automation ambition, AI note-takers, enrichment, structured outbound, that the current setup cannot host. That is the moment funds start evaluating Attio.

The data model for a fund in Attio

Attio's core advantage is that it treats your market as a typed, related database instead of a pile of form fields. Here is the model we deploy for funds, object by object.

People: one human, one record

Founders, operators, individual LPs, co-investors, advisors. Each is a single People record with typed attributes: deal side (buyer, seller or intermediary in a PE and M&A context), ticket range, sector focus, source. The discipline that matters most is one human, one record. The same founder will reach you through a Calendly booking address, a work email and a LinkedIn profile, and a naive CRM will happily hold three copies of them. More on how we fix that below, because it is a pipeline, not a checkbox.

Companies: portfolio, prospects, institutions

One Companies object covers prospective deals, portfolio companies, LP institutions and co-investor firms, separated by classification attributes rather than by silos. This is deliberate. The fund of funds that passed on Fund I is also the LP prospect for Fund II and an intro path to two other LPs. Splitting those roles across separate systems is how you stop seeing them.

Deals: your process, not the vendor's

Deal stages should mirror how your investment committee actually works, sourced, first meeting, partner review, term sheet, diligence, closed, not a generic sales funnel borrowed from SaaS. Two attributes are non-negotiable in our builds: an owner on every single deal, and a dated next step. In the PE and M&A fund we operate, all 71 live deals carry an owner, because an unowned deal is a deal that dies quietly between two partner meetings.

Lists: views, not copies

Attio lists are saved views over the same underlying records, not duplicated data. For funds we typically run an LP pipeline list for the active raise, sector thesis lists, a conference prep list rebuilt before each event, and a priority board for the Monday meeting. Edit a record in one list and it updates everywhere. That sounds basic, and it is exactly what spreadsheet-based funds have never had.

Intro tracking and relationship intelligence

Relationships in Attio are first-class records, so an introduction can be modelled as data: who introduced whom, when, in which direction, with what outcome. On top of that, native Gmail and Calendar sync gives every person and company a live interaction history and a connection strength signal, the Affinity feature, included rather than sold separately. One view partners actually use: every person met in the last three weeks, on screen at the start of the partner meeting. Nobody types anything to make that view true.

Attio vs Affinity vs 4Degrees vs DealCloud vs Salesforce

The comparison we walk funds through, from a team that operates several of these for a living. Four criteria matter in practice: what it costs, whether relationship intelligence is native, how far the model bends, and how long until the system is actually live.

Pricing as of June 2026: public list prices where vendors publish them, commonly quoted figures where they do not. Always confirm against a current quote.

When Affinity still wins. You want relationship capture and nothing else, nobody on the team will ever touch a data model, and the per-seat price does not bother you. It remains the best pure relationship-intelligence product.

When 4Degrees wins. You want a vertical fund CRM working out of the box and you accept its opinions about how a fund should run. Less to design, less to own.

When DealCloud wins. You are a large-cap firm with a compliance function, an IT department and a six-month horizon. DealCloud is genuinely deep. It simply plays in a different weight class, in cost and in calendar.

When Salesforce wins. The wider firm already runs on it and the fund must live inside its governance. You will rebuild fund logic from scratch and keep an admin busy, but the platform will not be the ceiling. We still operate Salesforce and HubSpot where they already carry a business, so this is not a religious position.

For everyone else, meaning a fund under roughly 50 people that wants its network queryable and its operations automated without a consulting program attached, Attio is where we land. Every time we have run this evaluation with a client, that is where it ended.

The workflows we run for a fund in production

Everything in this section runs today inside one private equity and M&A fund, anonymized here, where the CRM carries live deals and a wrong record costs real money. 24 workflows in production on Attio. These are the four that change daily life.

Post-meeting extraction, with an adversarial check

After every recorded call, a pipeline extracts the substance into structured CRM data: who was in the room, the amounts discussed, mandate and ticket signals, agreed next steps. The part that makes it trustworthy is the second pass. An adversarial verification step re-reads the transcript and challenges every extracted claim, and anything that was not actually said in the meeting gets rejected before it touches the base. In production, that check regularly blocks fabricated or inferred facts that a single-pass extraction would have written into live records. A CRM that fills itself is only valuable if you can trust what it writes.

Deduplication across Calendly and LinkedIn identities

A founder books a call through Calendly with a personal Gmail address. Enrichment later finds the same person via LinkedIn, attached to a work email. Email-based dedup will never connect those two records, so the base slowly fills with bare booking stubs shadowing fully enriched profiles, and your interaction history splits across both. Our pipeline resolves identity instead of comparing addresses: new booking stubs are matched against the base by name and LinkedIn identity, and confirmed twins are merged with the union of their emails preserved. It runs twice a day, unattended.

Enrichment refresh on a stale network

People change jobs faster than any CRM gets updated, and a fund's network ages in silence. In this fund's base we identified 953 people whose enrichment data had gone stale, last known role finished, profile never refreshed, and ran a targeted re-enrichment across all of them. A fund's network is its asset, and an asset register full of expired entries is a quiet liability. We wire enrichment through tools like Clay and provider APIs so the refresh stays a routine, not a yearly cleanup project.

Pipeline board and reporting, rebuilt through the API

Two more from the same deployment. The pipeline Kanban had been quietly pivoting on a dead attribute, so the board the partners reviewed every week was not actually the pipeline. We rebuilt it on the real stage field and populated an owner on all 71 deals while we were in there. And because the partners needed funnel and capital reporting that would have been slow to assemble by hand, we built the reporting layer programmatically: nine native views and a seven-chart dashboard, created and configured entirely through the API. That last sentence is also a confession about Attio's limits, which is the next section.

Around Attio, the same fund's stack touches n8n for orchestration and Lemlist for outreach. The CRM is the nervous system. It is not the whole body.

What Attio will not do for your fund

We sell Attio builds, so read this section as the part a vendor would normally cut.

Fund accounting is out of scope

Capital calls, distributions, waterfalls, NAV: not a CRM's job, and Attio does not pretend otherwise. Your fund administrator and accounting stack stay where they are. We routinely connect operating finance tools like Stripe or Pennylane on the management company side, but the fund ledger remains specialized software and should.

LP reporting takes API work

Native reporting has improved, and it is still the thinnest part of the product. Simple views and basic charts, yes. The reporting layer a quarterly LP letter deserves, in our experience, gets built through the API, exactly as we did with the nine views and seven-chart dashboard above. Budget for that work, or accept piping data into a BI tool. Either is fine. Pretending the UI alone will get you there is not.

No native document generation

Term sheets, NDAs, engagement letters: Attio has no native quoting or document engine. We wire PandaDoc to Attio over the API for that, and it works well, but it is an integration you plan, not a toggle you flip.

A young ecosystem

Attio's marketplace is years behind Salesforce's two decades of vertical integrations. In practice, everything we have needed was reachable through the API, webhooks and n8n, but "there is an app for that" is less often true. If your evaluation depends on one specific niche integration existing today, verify it before you commit, not after.

A decision framework, then a path

Strip the feature lists away and the decision compresses to this:

• Choose Attio if you are a fund under roughly 50 people, you want dealflow, LP fundraising, intro tracking and portfolio support in one graph, and you want automation that you own. Especially if you have, or will borrow, the engineering capacity to use the API.
• Stay on Affinity if automatic relationship capture is genuinely your only requirement and the per-seat budget is not a constraint. Switching costs are real; do not pay them for features you will not use.
• Pick 4Degrees if you want a fund CRM that arrives with opinions and you are happy to adopt them wholesale.
• Pick DealCloud if you are large-cap, compliance-led, and a multi-month implementation with a consulting partner is normal procurement for you.
• Stay on Salesforce if the group mandates it. Fight that battle elsewhere.

If Attio is the answer, here is the path we run. A free diagnostic on your current setup first, in text or voice memo, answered within 24 hours. Then a core build: data model designed on your actual process, migration from Affinity or spreadsheets with deduplication, the workflows described above, documentation and handover, typically inside 3 to 5 weeks. Setup starts at 8,000 EUR. If you want us to keep operating and extending the system afterwards, run starts at 3,500 EUR per month. One scope, one firm amount, no daily meter. The full offer is on the main page, the method details on our Attio page, and the practical questions in the FAQ.