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Dakota Data, Delivered However Your Platform Needs It.

API, Snowflake data share, bulk-scoped feeds, or direct CRM sync — every method draws from the same verified private markets dataset, refreshed daily by a 60-person research team.

Talk to a Data Partnerships Specialist →
252,000+
Allocator Accounts
1,000,000+
Private Companies
913,000+
Total Contacts
Daily
Refresh Cycle
Dakota Partner Networksandbox credentials & a dedicated integration engineer
The Problem With Most Data Feeds

Stale exports and rigid schemas don't scale with your product.

Most engineering teams building against private markets data hit the same wall: the feed they license is a quarterly snapshot, the schema doesn't match their data model, and every schema change on the vendor's side breaks something downstream.

A single CSV export or a scraped dataset might get a prototype working, but it can't support a production integration that customers depend on daily. Teams end up building fragile transformation layers just to keep their own product's data current.

Dakota's technical access track was built to remove that friction — the same dataset is available as a REST API, a live Snowflake share, a bulk-scoped feed, or a direct CRM sync, all refreshed daily and backed by documentation and a dedicated integration engineer.

"Engineering teams don't want another vendor relationship to babysit. They want a data layer that just stays current, however they choose to consume it."

Dakota Partner Network
01

Daily Refresh, Not Quarterly

Data is verified and updated daily by a 60-person research team — not a stale nightly scrape or a quarterly batch file.

02

One Schema, Four Delivery Methods

API, Snowflake, bulk feed, or CRM sync — the underlying schema is consistent across every access method.

03

Nearly Three Decades of Curation

Depth built since 1997 that can't be replicated by scraping regulatory filings or press releases.

04

Real Documentation & Support

Authentication guides, field-level docs, and a dedicated engineer for your integration.

What It Costs to Build This Yourself

Maintaining your own data pipeline is expensive.

These are the costs engineering teams absorb when they scrape or self-maintain private markets data instead of licensing it.

Building a Scraper Pipeline

Regulatory filings and press releases change format constantly — scrapers break, and someone has to fix them.

Typical cost: ongoing engineering headcount
Schema Normalization

Reconciling inconsistent field names and formats across every source you scrape or license.

Typical cost: months of data engineering
Entity Resolution

Matching the same allocator or firm across multiple sources without duplicating or dropping records.

Typical cost: dedicated data science work
Uptime & Monitoring

Someone has to catch silent failures when a scraped source goes stale or changes structure.

Typical cost: on-call engineering burden
Compliance Review

Legal review of scraping terms of service and data usage rights for every source added.

Typical cost: weeks per source
Staleness Between Refreshes

Quarterly or manual refresh cycles mean your product's data is out of date the moment it ships.

Result: degraded customer trust
How Integration Works

From access request to production data.

1

Request Access

Tell us which access method fits your architecture — API, Snowflake, bulk feed, or CRM sync.

2

Get Sandbox Credentials

Sample datasets and documentation to validate the schema against your product.

3

Scope the Feed

Define the exact fields, entities, and refresh cadence your integration needs.

4

Go to Production

Move to production credentials with a dedicated integration engineer supporting rollout.

Access Methods

Four ways to consume the same dataset.

Real-Time

API Access

REST API for real-time, scoped queries directly into your application.

Field-level docs · sandbox available
Data Warehouse

Snowflake Data Share

Live Snowflake share for teams that want Dakota data inside their existing warehouse.

No ETL required · native tables
Scoped Export

Bulk-Scoped Data Feeds

Scheduled bulk delivery scoped to the exact entities and fields your product needs.

Daily, weekly, or custom cadence
CRM Native

Direct CRM Sync

Bi-directional sync into Salesforce, HubSpot, Backstop, and other supported CRMs.

Bi-directional · field mapping
For Developers

Everything your team needs to build and ship.

Docs

Documentation

Field-level schema docs, endpoint references, and integration guides.

Security

Authentication & Security

Token-based authentication, scoped access controls, encryption in transit and at rest.

Freshness

Update Frequency

Daily verified refresh cycles, with custom cadence available for bulk-scoped feeds.

Trial

Sample Datasets

Request scoped samples to validate schema fit before committing to production.

Coverage

One schema across every private markets entity.

252,000+
Allocator Accounts
29,000+
Investment Firm Accounts
913,000+
Total Contacts
128,000+
Investment Firm Contacts
1,000,000+
Private Companies
32,000+
RIAs
87,000+
Total Private Funds
264,000+
Financial Advisor Contacts
45,000+
Public Pension Investments
486,000+
Private Company Contacts
4,400+
Family Offices
14,000+
Fund Performance Records
44,000+
RIA Contacts
47,000+
Insurance Company Investments
26,000+
Transactions Tracked
Sample Datasets

Request a scoped sample before you commit.

252,000+
Allocator AccountsPensions, endowments, foundations, sovereign wealth funds, consultants, insurance companies, wealth managers, RIAs, and family offices.
Request Sample →
29,000+
Investment Firm AccountsFund managers with fundraising status, strategy tags, and Form D / Form ADV data.
Request Sample →
1,000,000+
Private CompaniesSponsor-backed portfolio companies with C-suite contacts and career history.
Request Sample →
26,000+
TransactionsDeal activity tracked across private equity, venture capital, and private credit.
Request Sample →
14,000+
Fund Performance RecordsIRR quartile distributions and TVPI by vintage year across major asset classes.
Request Sample →
264,000+
Financial Advisor ContactsAdvisor-level contacts with role and position-change tracking.
Request Sample →
Before and After Dakota

What changes when your pipeline runs on Dakota data.

✕ Before Dakota

Scraped or quarterly data that's stale by the time it ships

✓ After Dakota

Daily-verified data across allocators, firms, and companies

✕ Before Dakota

Custom transformation layer to normalize inconsistent schemas

✓ After Dakota

One consistent schema across API, Snowflake, feed, and CRM sync

✕ Before Dakota

No support when a data source silently breaks

✓ After Dakota

Documentation, sandbox access, and a dedicated integration engineer

✕ Before Dakota

Legal review required for every new scraped source

✓ After Dakota

A single licensed relationship through the Dakota Partner Network

Built on a Foundation Investment Firms Already Trust

Real infrastructure, not a new experiment.

The technical access track is new — the data behind it is not. Every integration draws from the same platform 1,500+ investment firms already rely on.

28 Years
Of Data Curation
60
Person Research Team
Daily
Verified Updates
1,500+
Investment Firm Clients

Looking for a product-level partnership instead of a raw data feed? See the full Dakota Partner Network program — embedded data, white label, and co-marketing models.

Explore the Partner Network →
Get Started

Ready to start building?

Tell us which access method fits your architecture. A member of the Dakota partnerships team will follow up with sandbox credentials and documentation.

 
Four Ways to Get Started
 
Request API AccessSandbox credentials & docs
 
Request a Sample DatasetValidate schema fit
 
Talk to Our Teampartnerships@dakota.com
 
See the Partner NetworkEmbedded, API & white label

Address

925 West Lancaster Ave
Suite 220
Bryn Mawr, PA 19010
Tel: (610) 642-1481 

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