Outperform all of your KPIs. Any business. Any scale.

Arch is an end-to-end data platform that enables any business to excel. Streamline operations, make quicker decisions, and optimize for growth - for a single business or an entire portfolio.


How it works

Company 1Company 1
Company 2Company 2
Company 3Company 3
Semantic Layer

Made for your entire portfolio

Bespoke data infrastructure for every company in your portfolio is expensive and doesn’t scale. Arch understands your business and efficiently centralizes data from any system to show you the metrics you care about across every portfolio company.

Step 1

Define your templates

Templates can be defined using versioned code or in the UI

Step 1 Image 1Step 1 Image 2

Ingest from any source

Define custom tables using dbt Core models or Python, or easily apply row-level transformations like masking PII or dropping columns.


Transform as desired

Define custom tables using dbt Core models or Python, or easily apply row-level transformations like masking PII or dropping columns.


Store where you need it

Use Arch’s built-in multi-tenant data warehouse powered by Hydra, or export to an external data warehouse or lake.

Step 2

Onboard your clients

Clients can be onboarded manually, programmatically, or self-serve



When you onboard a new client onto a specific template, Arch automatically sets up their ELT orchestration and a data warehouse.


White-label client portal

Clients can set up and manage their own connections using OAuth and map entities and properties to fit the template’s data model.


Fully automatable

To manage clients, connections, and mappings more efficiently, you can use the API or embed Arch into in your custom frontend.

Step 2 Image 1
Step 3

Customize as needed

Data integration and transformation can be customized for each client

Step 3 Image 1

Override models & metrics

Every templatized transformation step can be overridden to meet a client’s needs, and common overrides can be reused


Swap out sources

Support multiple competing SaaS apps (like CRMs) by defining a unified data model that downstream models can build on.


Add new sources & models

When a client needs something special, you can easily build it just for them and optionally add it to the template later.

Step 4

Access their data

Each client's data is readily available to your frontend of choice


SQL for BI & data science

Arch’s built-in data warehouse is powered by Postgres and Hydra, which are supported by every BI and Notebook tool.


API for custom frontends

Every table in Arch can be exposed as a REST or GraphQL API to power your custom web or LLM chatbot frontend.


Webhooks for external actions

Whenever a table gets new data, Arch can forward it to an external system using a webhook or API request (reverse ETL).

Step 4 Image 1

Let's work together

If you're trying to offer or scale your productized services, and single-tenant data tools with no concept of templates are holding you back, we'd love to work with you as well!

The latest from the Arch blog

Arch updates, data consulting trends, tutorials, and other data musings

Get more data insights