For teams that share data

Win the trial by being first to deliver

When someone's evaluating four datasets in the same week, the one that shows up first gets the analysts' full attention. Lakeshore lets that be you, every time, without leaning on your engineers.

Get started for free

The deal doesn't die in the demo

It dies in the days after. They liked what they saw, signed the trial, and then waited. Sales passed the request to engineering. Engineering figured out the recipient's environment, set up access, issued credentials, tested the connection, and coordinated with their technical team. Every hand-off added time.

By the time your data finally landed, the analysts had already built hypotheses around the datasets that arrived first. The evaluation had moved on. Better data lost to slower delivery, and they never knew what they missed.

You configure the content. They choose the destination.

That clean split is the whole point. You never need to know anything about the other side's cloud setup, and they never wait on yours.

Your side, the content

Decide what's shared

Pick the datasets and coverage. Set filters, time-lags and a delivery schedule. Attach the documentation that travels with the data. That's the job, and it's the same job every time.

Their side, the destination

Decide where it lands

They choose their own cloud environment and pull the data when they're ready. You never touch their setup, swap account details, or deliver into somewhere unfamiliar.

Connect once. Deliver anywhere.

Your customer chooses where the data lands

Object storage and data warehouses across AWS, Google Cloud and Azure. Lakeshore handles the integration work, so you never deliver into an unfamiliar environment, and your customer never has to move data after it arrives.

AWS S3 Bucket

Google Cloud Storage

Azure Data Lake Storage

Cloudflare R2

Snowflake Secure Share

Databricks

Google BigQuery

AWS Athena

Share the data and the expertise with it

A conversational layer that already knows the dataset

Every dataset ships with its own documentation built in. The people onboarding it can surface use cases, understand the schema, and generate queries without a kick-off call or a back-and-forth with a data engineer.

what are the 3 best use cases of this data for discretionary investors?

1. Early cultural indicators, employee sentiment as a lead on operational quality.

2. Competitive sentiment, compare satisfaction across peers in a sector.

3. Risk signals, track morale trends that can precede performance shifts.

break down reviews submitted by hour of the day

SELECT hour(review_time) AS hour_of_day,
  COUNT(*) AS reviews,
  ROUND(AVG(rating),2) AS avg_rating
FROM employee_sentiment
GROUP BY 1 ORDER BY 1;

Know what's happening after you hit share

Delivery you can see, problems you hear about first

You're notified the moment a customer ingests the data, so you know a share landed without asking. And automated checks watch every feed for issues, a break, a gap, a schema change, and flag them to you before your customer ever notices.

Delivery notifications

A confirmation when the recipient successfully ingests each share.

Issue detection

Automatic monitoring catches breaks and anomalies, and alerts you early.

Lakeshore

Data Delivered Successfully — Quaternion Transactions

09:14

Share ID: 3f9c2a71

Data Delivery Successful

Data for Quaternion Transactions has been delivered successfully to the @northbeam.com share.

Delivery Inventory

Table	Rows Added
transactions	48,210
merchants	1,204
cardholders	312
Total	49,726

Lakeshore

Data anomaly detected — Quaternion Transactions

08:02

Data Anomaly Detected

An anomaly was detected on Quaternion Transactions

Table	Type	Received	Expected
merchants	Missing data	None	1.2 GB

What changes when delivery stops being a project

Connect your data once. Everything after that is a link.

Win more, faster

Offer every destination out of the box and shorten onboarding to a self-serve step. You're in front of the team while the evaluation window is still open.

Open new revenue

Package one dataset into tailored shares for different recipients, by coverage, time-lag or format, and open new channels without rebuilding anything.

Take engineers off the delivery path

Standard trial and onboarding workflows run on the platform, not through a ticket queue. Your team ships product instead of provisioning access.

Stay in control

Granular permissions, a full audit trail, MFA, and access you can revoke instantly. No static credentials sitting around to manage.

From dataset to delivered, in three steps

Connect your data

Point Lakeshore at a source you already publish to. We detect schemas and structure it into tables, then you attach documentation.

Setting up

Quaternion Transactions

Connect Source

AWS S3

Verify Access

All permissions passed

Scan Source

Detect tables

Document Tables

Describe your data

Scan Source

Detecting tables and schemas

Sensing schemas 0 tables 1 table 2 tables 3 tables

Tables found

transactions 12 cols

merchants 8 cols

cardholders 6 cols

Configure the share

Set trial or production access, coverage, filters, time-lags and schedule for that specific recipient. No detail of their environment needed.

Share the link

They pick their destination and the data lands there. You get a notification when it's ingested, no back-and-forth over cloud details.

Using the Data Share Link

Anyone granted access can use this link to set up their data delivery.

https://quaternion.lake-shore.io/orders/cac4e1…

People with access

j.moore@northbeam.com

Active

a.kapoor@northbeam.com

Active

Pricing that scales as you share

A free tier to get going and paid tiers as your share volume grows. Tell us what you need and we'll get you set up.

Free

$0 /mo

Forever free

Up to 100GB storage
Up to 3 shares (static snapshot)
Basic support