A scattered data stack
Your operational data is split across spreadsheets, exports, source systems, BI tools, and inboxes. Nothing is connected, so every question becomes a manual reconstruction.
Expert-led project delivery
Zipdata delivers your unified data, process automation, and agentic transformation projects through one configurable workspace. We bring the expertise; the platform removes the infrastructure and headcount it usually takes to put AI to work.
Why Zipdata exists
Most teams need a unified story of their data first, then automation, and eventually agents that help run the workflow. The need is clear; the old way of delivering it is what makes it slow, expensive, and hard to scale.
Your operational data is split across spreadsheets, exports, source systems, BI tools, and inboxes. Nothing is connected, so every question becomes a manual reconstruction.
Spreadsheets, exports, source systems, and documents need cleaning, joining, validation, and refresh logic before anyone can trust the numbers.
Reports, dashboards, generated documents, and customer updates live in separate places, so your leadership and teams never get one coherent view of the operation.
Invoice generation, document processing, scheduled reporting, alerts, and writebacks each need the same scaffolding rebuilt: triggers, secrets, retries, storage, logs, and delivery.
Real progress needs analysts, engineers, automation builders, and app developers. Hiring them internally or buying them through consulting is slow and expensive.
When every initiative is assembled from scratch, the knowledge stays in people and scattered infrastructure. Growing the operation means growing the operational burden.
The Zipdata model
Zipdata unifies everything behind your data, automation, and AI work into one place. Your project starts in a workspace, then activates the capabilities it needs: data, automations, feeds, groups, tools, and agents.
Unified Data & Intelligence
We shape the entities, KPIs, queries, dashboards, and feeds that let you see your operation from one connected workspace instead of scattered spreadsheets and systems.
Scoped brief, typed schema, starter analytics, and first feed path.
Process Automation
Automations handle imports, scheduled jobs, document processing, invoice generation, enrichment, emails, writebacks, and run history in the same project environment.
Live pipelines and operational outputs, with logs and retries in one place.
Agentic Transformation
Agents use the workspace data, tools, feeds, and approval rules to monitor conditions, draft outputs, queue actions, and help your team operate with more autonomy.
Starts governed; expands as the workflow and data mature.
Workspaces
Each workspace houses the schema, data, automations, feeds, groups, tools, agents, schedules, and audit history for your project. It replaces infrastructure that would otherwise be rebuilt from scratch.
A governed environment exists before custom delivery begins.
Feeds & Groups
Feeds turn workspace data into briefings, dashboards, reports, alerts, statements, documents, customer updates, and scorecards. Groups decide who receives which output.
The client UX is delivered, scheduled, and shareable.
Agents & Tools
Tools give agents controlled reach into the stack. Approval tiers keep consequential actions governed while low-risk work can be drafted or executed automatically.
The workspace can move from intelligence to automation to agentic operation.
Configured delivery means expert work still matters, but the infrastructure is never rebuilt from scratch: the workspace carries the data model, automation substrate, feeds, delivery groups, tools, agents, schedules, and audit trail — so the speed and savings reach you.
What this looks like in practice
Not everyone starts in the same place. You may need a unified data story, repeatable automation, or be ready for agentic execution. Zipdata uses the same workspace spine to support each maturity level.
Unified Data & Intelligence
Orders, inventory, dispatch, payments, and customer commitments live across spreadsheets and source systems.
Entities, KPIs, queries, and connected records shaped around the client project.
Trend monitoring, dashboards, reports, and saved questions built from the same schema.
Leadership and operating groups receive briefings, dashboards, and exception alerts.
You stop reconciling the business by hand and start from a shared, current view.
Process Automation
Invoices, customer updates, documents, recurring reports, and data refreshes each need triggers, logs, storage, and delivery.
Scheduled jobs, document processing, invoice generation, enrichment, and writebacks.
One task spine monitors schedules, runs, failures, and next execution windows.
Generated documents, statements, reports, and updates are sent to the right groups.
The automation becomes part of the client workspace instead of another one-off script to maintain.
Agentic Transformation
Once the data and workflow are stable, you want the system to notice conditions, draft actions, and support follow-through.
Role-scoped programs monitor workspace data and decide what needs attention.
Granted actions let agents draft messages, update records, trigger workflows, or call external systems.
Approvals keep customer-facing, financial, or material actions under human control.
The project evolves from visibility and automation into a governed operating layer.
Our edge
We understand your operation, configure the workspace, connect the data, build the automations and outputs, then expand toward agents when the workflow is ready. Strategy does not stop at a deck — it becomes a running workspace you own.
We map the sources, entities, metrics, exceptions, approval rules, and audiences before anything gets configured.
The PRD becomes typed data, feeds, automations, groups, tools, and agent programs inside one operating layer.
Agents watch live records, deliver intelligence, queue follow-through, and leave a history the next workflow can build on.
Strong discovery, but the output often becomes decks, recommendations, and a handoff your team must turn into systems.
Faster setup, but usually around one standard workflow, with your data, governance, and follow-through split elsewhere.
Flexible, but each project rebuilds its own data plumbing, app layer, automations, storage, delivery, and monitoring.
Discovery, a configured workspace, feeds, automations, and live agents — delivered as one running layer you own.
Start with one project
We will identify whether the first engagement is unified data, process automation, or agentic transformation, then map the workspace, feeds, automations, and next-step path around it.