A biotech lab tracking every sample — from intake to release — in a single panel, on top of the systems it already ran.
A biotech processing tens of thousands of samples, across multiple sites and distinct LIMS systems — feeding intake, lab, diagnostics, physicians, management, quality, clients and auditing from the same data: the state of each sample.
From intake to release, each sample passes through systems that don't talk to each other — and the whole picture only exists when someone rebuilds it by hand.
Samples arrive and are registered — each site in its own LIMS, with different standards and fields.
Each stage — analysis, validation, release — updates the local LIMS, isolated from the other systems.
To answer “where is sample X?”, someone consolidates spreadsheets and emails from several systems by hand.
The data for each sample existed. It just wasn't captured, unified and made available in a single place able to give real-time visibility to the whole operation.
Answering “what stage is this sample at?” requires consolidating spreadsheets and emails by hand — and takes up to two weeks, delaying every decision.
Each site and stage lives in an isolated LIMS, with the CRM apart. There's no single place where the sample's state is truth.
There's no way to know, in real time, where each sample is. Samples “disappear” between stages and the SLA goes uncontrolled.
Who sees what is defined by who has which spreadsheet. No audit trail and no permission control — a compliance risk.
Captures every sample event straight from the source, unifies multiple LIMS and the CRM into a common model and delivers a single view — with search, automatic alerts and permission-governed access, on top of the systems that already exist.
Connectors for multiple LIMS and the CRM capture every state change by event, without polling, and without touching the source systems — the foundation for the single view.
Events are normalized into a common sample-state model — unifying different LIMS — and trigger automatic notifications the moment something changes or stalls.
An intuitive interface with instant search of samples and orders, permission-based access via SSO and contextual alerts — the source of truth for every team.
AWS provides the cloud-native base for scale, isolation and elastic deployment (Docker, Kubernetes, Terraform). ZBRA turns that base into a dashboard that gives real-time visibility to the whole lab operation.
Before appearing on the panel or triggering an alert, each sample event must be captured, normalized and reconciled across systems — that's what makes the single view reliable.
LIMS and CRM emit every change in the sample's state.
Pub/Sub and Lambda capture without polling, without touching the source.
Multiple LIMS unified into a common state model.
State consolidated in near-real-time, with search.
Automatic notifications on exceptions and SLA at risk.
On top of the event-driven platform, a single dashboard brings together search, real-time state, SLA alerts and governed access — the same truth for intake, lab, management and clients.
Every number here represents an operational decision now made with the sample's real state in hand — not with a report from two weeks ago.
“We set the bar very high from the start, and ZBRA not only met it but exceeded our expectations. The experience they built is exceptional — and completely changed how we see the operation.”— H.Y., LIMS Director
What changes from client to client are the sources, the stages and the indicators. The approach — capture by event, unify, govern, show on a panel — repeats.
Multiple LIMS, CRM, spreadsheets, events. The platform connects without replacing what already runs.
Every state change is captured in real time, without polling and without impacting the source systems.
A single screen, with search and near-real-time state, as the source of truth for every team.
Permission-based access via SSO, with an audit trail. No more visibility defined by spreadsheet.
Contextual notifications for SLA, stalled samples and volume spikes — before they become delays.
Less time in reports, more visibility and more deadline control. Metric before the pretty panel.
Applicable sectors: clinical labs, diagnostics, biotech, pharmaceuticals, hospitals, healthtech and research — any operation where the state of an item needs to be visible, in real time, across systems that don't talk to each other.
We build the layer that delivers visibility, scale and control — from intake to release.