Your warehouse works. Your pipelines run. But your client is still waiting on an export. Your ops lead is still stuck in Slack. Your AI demo is still something nobody trusts with real data.

Orbit by Datum Labs builds the layer that fixes all three, on the stack you already have.

Existing Data Stack

Input

Warehouses & databases

APIs & event streams

Analytics pipelines

Business systems

Data Apps · Datum Labs

Production software
on your data layer

Application layer active

Existing data stack

Warehouses, APIs, pipelines -> untouched

Application layer

Portals, analytics, AI workflows on top

Access & permissions

Auth, roles, multi-tenant control

Users, workflows, actions

Teams and customers on real data

Portals Analytics AI Workflows Auth

Access & Permissions

Control

Auth & role-based access

Multi-tenant isolation

Audit logs

Users, Workflows, Actions

Use

Self-serve insights

Ops & approval flows

AI in production

31%

Retention increase from embedded analytics

27%

Avg churn reduction vs export-based reporting

$50.6B

Embedded analytics market in 2025, growing to $162B by 2035

12%

SaaS companies that monetize analytics as a product feature

A human interacting with a dashboard on a laptop screen

What is the data application layer?

The data application layer is the production software that sits between your data infrastructure and the people who need to act on it. It includes authentication, role-based access, workflow logic, and interactive interfaces that let teams and customers use business data directly. Data Front by Datum Labs builds this layer on top of the stack you already have.

See what we build on top of your stack

[ The problems ]

Is your data ready but your users still waiting ?

These are the specific gaps that appear once a data stack matures and the business starts demanding more than reports.

The Friday export problem

Your data team spends hours pulling from the warehouse, formatting in spreadsheets and emailing clients who reply with follow-up questions by Monday. The data is accurate. The process is not a product.

The "can we see our data?" request

A client asked for real-time access to their account data three months ago. It is in the backlog. It has not moved. Every week of delay is a compounding retention risk.

Ops team running on spreadsheets

Your RevOps team manages approvals, data reviews and operational records across Google Sheets and Slack. No audit trail. No real-time visibility. Errors go undetected until they cost you.

The AI demo that never shipped

You built a prototype that works in isolation. No production data connection. No permissions layer. No audit log. It has been a demo for six months and the team has stopped believing it will ship.

[ What we build ]

The application layer has three forms.

Customer Data Portals

Secure, branded portals where customers can access their own data without waiting for manual reports. We build multi-tenant, role-based portals with account-level filtering, embedded analytics, exports, and customer-facing reporting.

Data Layer Apps

Controlled internal tools that replace spreadsheet-driven workflows and manual approvals. We build validation screens, approval flows, work queues, operational dashboards, audit trails, and role-based admin interfaces.

Production AI Workflow

AI-powered applications connected to your real data stack, permissions, and approval flows. We build human-in-the-loop AI workflows, review screens, logging, audit trails, and interfaces your team can safely use in production.

Build Your Data Front Today

[ Who this is for ]

Three buyers.One outcome.

If you recognise your situation below, Data Front was built for you.

Head of Product or CTO

You have a working data stack and clients who keep asking for data access inside your product. Your engineering team is too stretched to build a portal. You have looked at Retool or Luzmo but do not want to own the build and ongoing maintenance.

Head of Data or Analytics Lead

You built the warehouse. Your dbt models are clean and production-ready. Now the business is asking you to make that data accessible to customers or ops teams. Building a portal is not your job, but nobody else can do it.

Ops Lead or RevOps Lead

You manage critical workflows through Google Sheets and Slack because there is no proper interface. No audit trail. Approvals take days. You know it is broken but cannot get engineering time to fix it.

If this sounds familiar, your application layer is missing.

Book a 30-minute scoping call

Find the workflow gap

We identify where data is already available, but still trapped behind exports, spreadsheets, dashboards, manual approvals, or AI demos.

Shape the app experience

We define who will use it, what they need to see, what they can do, and which permissions, actions, and workflows are required.

Build on your data stack

We connect the app to your warehouse, APIs, models, databases, and business systems, then build the portal, interface, embedded analytics, or AI workflow on top.

Ship with production controls

We launch with authentication, role-based access, monitoring, logging, integrations, and documentation so the app is ready for real customers or internal teams.

[ How Data Front works ]

From existing data to usable software

Data Front starts where dashboards, exports, and AI demos stop. We take one data-heavy workflow and turn it into a production application your users can open, trust, and use.

[ Why Data Front ]

Why SaaS teams choose Data Front over building internally?

Category	Building Internally	Data Front
Time to production	4 to 9 months depending on backlog and team capacity	6 to 12 weeks for a production-ready first release
Engineering cost	Full sprint cycles pulled from your core product roadmap	Fixed-scope engagement that does not touch your product backlog
Data layer expertise	Application engineers treat the warehouse as a black box	We understand your warehouse, dbt models, and pipelines before writing a line of application code

Plan Your First Data App

[ Why Data Front ]

Built on the stack you already have

Data Front does not ask you to replace your infrastructure. We add the production application layer on top of what you already use.

Data warehouses

Snowflake

BigQuery

Redshift

Postgres

Application layer

React

Next.js

Node.js

Python

Hono

Django

Auth and access

Auth0

Supabase Auth

Google OIDC

Custom RBAC

Row-level security

Transformation

dbt Core

dbt Cloud

AI and agentic

LangChain

LangGraph

OpenAI

Anthropic APIs

Infrastructure

AWS

GCP

Azure

Docker

GitHub Actions

[ Case Studies ]

What happens when the application layer gets built?

Creator economy · Streaming

YourStage.live

Revenue, invoices, and payouts across separate systems with no creator visibility. Replaced with a portal that ingests streaming data, calculates earnings automatically, and executes payouts end to end.

From manual reconciliation to automated revenue operations.

Read case study →

SaaS · Contract operations

Techsource

Scattered contracts, missed renewals, and no spend visibility. Replaced with a multi-tenant portal giving every team role-scoped access to their contracts, vendors, and spend in one place.

From scattered records to one operational command centre.

Read case study →

Real estate · Asset management

Ember Capital

Investors waited on manual reports. Analysts hand-routed incoming files by deal and system. We built a portal for portfolio views, backed by an AI pipeline that classifies every report automatically.

From manual reporting to a portal with a self-classifying pipeline behind it.

Read case study →

[ Ready to Build? ]

Your data is ready. Your users are waiting.

Launch the portal, workflow, or data app your team keeps postponing.

Scope It This Week

Frequently asked questions

What is the data application layer?

The data application layer is the software between your data stack and the people who need to use the data. It includes user login, role-based access, workflows, and interactive screens. Data Front builds this layer on top of existing warehouses, dbt models, APIs, and business data

What is the difference between a client portal and a dashboard?

A dashboard shows data. A client portal lets customers log in, view their own data, filter reports, export information, and take action. Dashboards are mainly for reporting. Client portals are production data applications built for customers.

How long does it take to build a client portal on an existing data stack?

A production-ready client portal usually takes 6 to 12 weeks, depending on scope, data readiness, integrations, and access requirements. Data Front builds on top of your existing Snowflake, BigQuery, Postgres, dbt, APIs, or data warehouse setup.

How is Data Front different from embedded analytics tools?

Embedded analytics tools give you components to build with. Data Front delivers the finished data application. We handle the application layer, data connections, authentication, permissions, workflows, integrations, and production launch.

When does a SaaS company need a client portal development service?

A SaaS company needs a client portal when customers need self-serve access to data, reports, dashboards, exports, or account-specific insights. It is also useful when the team is spending too much time on manual reporting, spreadsheets, or recurring client data requests.