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Use Case

Sortify in the Research Lab: Shared Equipment, Shared Accountability

A use case for research labs, academic institutions, and scientific teams


Picture a mid-size university research lab. There are twelve people using it across a given week: three doctoral researchers, four master's students at various stages, two postdocs, and a handful of undergraduates who rotate in for project work. The equipment is shared, the reagents are shared, and the space is shared. Nobody is in charge of the inventory — or rather, everybody is, which in practice means nobody is.

The pH meter, which cost €3,400, has been somewhere in the lab for six months. Exactly where is another question. Probably the wet bench, maybe bench three. But postdoc Linh took it to the cold room last Tuesday to do something and might have left it there. Or it's in the instrument room. The undergrad says she saw it on the side bench near the sink. It takes 12 minutes to find it.

That's a light version of the problem. Here's a heavier one: a reagent was moved from the main fridge to the mini fridge in the office. Nobody told anyone. Three days later, one of the PhD students decides the experiment it was needed for has gone wrong because of contamination. Investigation reveals the reagent wasn't where expected, the experiment ran with the wrong stock. Weeks of work, time, and resources at stake.

Research labs are high-precision environments operated by rotating casts of people who share resources and rarely have time to document the mundane. Sortify is the solution to the mundane — so the team can focus on the complex.


Why Labs Struggle with Physical Inventory

Research labs are uniquely bad at this, despite being staffed by highly organized people. Here's why:

Rotation and turnover. Students graduate, postdocs move on, new members arrive. Institutional knowledge about where things live walks out the door with departing researchers. The new person doesn't know the lab's informal storage logic. Nobody wrote it down.

Shared ownership. Nobody in particular owns the inventory, so nobody in particular maintains it. The pH meter belongs to the lab, which means it belongs to everyone, which means it belongs to no one's personal responsibility to track.

Informal systems that only some people know. Every lab has "the place where [thing] goes." But those conventions are oral, often contradictory, and updated more slowly than reality. New students learn them gradually through asking, which means senior members field the same "where is the [thing]?" question repeatedly.

High-stakes consequences. In a home, a misplaced item costs time. In a lab, a misplaced reagent, a missing calibrated instrument, or equipment returned in the wrong condition can affect experimental outcomes, publications, grant compliance, and equipment warranties.

Regulatory considerations. Many labs are subject to audit requirements for equipment usage, calibration records, and controlled substance tracking. "I'm pretty sure Dr. Kim had it" is not an audit response.


Setting Up Sortify for a Research Lab

The key insight for labs: Sortify's workspace maps to your lab, and its rooms map to the physical zones within it. Sublocations map to specific benches, shelves, cabinets, and drawers.

Example: Computational Biology Lab, University of Helsinki

The lab has two physical spaces: the main lab room and a separate cold room. The lab manager created a Sortify workspace called "CompBio Lab — Biosciences Building."

Rooms:

This structure mirrors exactly how the team already talks about the lab. No learning curve.


What Gets Logged

The lab team spent an afternoon during a slower week doing their initial inventory. Three people each took a zone and logged items. Rules they set:

What they ended up tracking:

Equipment:

Reagents and consumables (high priority):

Lab infrastructure items:

The barcode scan feature made logging reagents with barcodes fast. For equipment, photos of the serial number plate were attached to each item record, creating a de facto equipment register.


The Role System in a Lab Context

Labs have natural hierarchies. Sortify's role system maps well to them:

Primary User (workspace owner) → Lab Manager or PI (Principal Investigator)

Secondary Users (members) → Doctoral researchers, postdocs, senior students

Read-Only → Visiting researchers, rotating undergraduates, PI who just wants visibility

When a new master's student joins the lab, they get added as a Secondary User. They can immediately see what equipment the lab has, where it is, and update locations as they use things. They don't need to learn the informal oral tradition — they open Sortify.

When a visiting researcher joins for a three-month project, they get Read-Only access. They can look things up without risk of accidentally modifying records.


Practical Workflows

Workflow 1: Using Shared Equipment

Dr. Nguyen needs the portable UV transilluminator for her gel. She opens Sortify, searches "UV transilluminator," result: "Instrument Room — Shelf B." She goes there, picks it up.

After use, she returns it to its logged location. But today she's putting it on Bench 2 temporarily while she runs another gel. She opens Sortify, updates the transilluminator location to "Main Lab — Bench 2," adds a note: "Return to Instrument Room Shelf B after gel imaging." The next person who searches for it will find it there.

This is the critical behavior that changes everything: the person moving something is the person who updates the record. It becomes a norm. It takes 15 seconds. It saves the next person 15 minutes.

Workflow 2: Reagent Tracking and Expiry

Reagent degradation is a silent killer of experiments. The cold room has multiple fridges, multiple shelves, and dozens of reagents — many of which look identical in white microfuge tubes.

The lab started logging all enzyme stocks with:

When an enzyme's expiry date approaches, it shows up in Sortify's expiry-aware search. The lab manager can filter by items expiring in the next 30 days and do a quick check. No more discovering expired reagents mid-experiment.

The "who ordered it" tag is useful too — if there's a question about provenance or a recall, there's a record.

Workflow 3: Equipment Calibration and Service History

The notes field in Sortify is plain text but searchable. The lab uses it for calibration records:

Item: "Analytical Balance — Sartorius 1234" Notes: "Calibrated 2026-01-15 by TechService. Next calibration due: 2027-01-15. Serial: SAR-4421."

When the next calibration is due, the note makes it easy to identify which balance, which service provider, and when. The item history shows the full timeline of notes updates — so past calibration records aren't overwritten, they're preserved in the history.

Workflow 4: Lab Handover When a Member Leaves

When Jochen, a postdoc, finishes his contract, the handover process includes an "equipment handover" step. He goes through his items in Sortify — any items tagged or noted as being in his custody — updates their locations to where they've been returned, and adds a handover note.

The new postdoc arriving the following month can onboard to the lab's physical inventory in 20 minutes rather than the usual weeks of informal "who has what" discovery.


History: The Lab's Memory

Item history in Sortify is particularly valuable in research settings where accountability matters.

The complete movement history of every item is logged. Every location update, every field change, attributed to a user with a timestamp. This is:


Sync and Offline: How It Works for Lab Life

Researchers don't always have their phone in hand while working. Sortify accommodates this:

In a lab where multiple people might update the same equipment record on the same day, the conflict resolution is clean. The history preserves both states so nothing is lost.


Privacy and Data Ownership

For academic institutions, data governance matters. Sortify's architecture is designed to make this simple:

Your plaintext workspace data never passes through MokingBird's servers. It lives on the devices of your team members and, when provider sync is used, in encrypted files/packages in a cloud account you control. Entitlement-enabled Sortify Cloud and Enterprise SyncNative use managed zero-knowledge transport for encrypted updates and checkpoints. Where recovery protection is enabled, Sortify may store encrypted key envelopes, but MokingBird cannot read your inventory contents or decrypt workspace data without the user's unlock secret.

This means:

For labs handling controlled substances, sensitive biological materials, or proprietary research, this local-first architecture is a significant advantage over cloud-hosted inventory services.


Offline-First: Because Labs Are Not Always Ideal Connectivity Environments

Labs are not always ideal for wireless connectivity. Cold rooms, basement areas, equipment rooms, and Faraday-shielded spaces may have inconsistent or no signal.

Offline-first behavior matters because staff still need to:

Sortify works fully offline. All changes are queued and synced automatically when the device reconnects. There is no manual sync button and no risk of losing an update because signal dropped.


What Sortify Is Not

It is important to be clear about what Sortify is strongest at — and where it is not the right tool on its own:

Sortify is strongest when used as the operational memory layer — the shared system that answers "where is it, who moved it, and what is it?" for the team's physical environment. It complements formal systems rather than replacing them.


The Time Saved

Let's quantify it. If a 12-person lab loses an average of 15 minutes per person per week to "where is [equipment]?" questions and searches — a conservative estimate — that's 3 hours per week, 12 hours per month, 144 hours per year.

At a fully-loaded postdoc cost of €30/hour, that's over €4,300 per year in lab time spent searching. Sortify paid collaboration tiers start at €3.99/month, with higher-capacity Gold and managed/enterprise options available for larger teams.

The math makes it hard to argue against.

More importantly: failed experiments from missing or mislocated reagents, equipment returned in unknown states, handovers that lose institutional knowledge — these are costs that are harder to count but far larger than the search time alone.


Getting Started as a Lab

  1. The lab manager or a designated person creates the workspace (they become Primary User)
  2. Set up rooms to match your physical space — be as granular as your lab requires
  3. Invite the team — postdocs and doctoral students as Secondary Users, the PI and visiting researchers as Read-Only
  4. Do a one-time inventory session — dedicate a few hours with two or three people across zones
  5. Establish the norm — if you move it, update Sortify. That's the only cultural shift required.

The free collaboration tier works for very small labs. Many research labs will fit Premium or Gold depending on workspace count. Larger labs that need managed realtime collaboration should evaluate Platinum or Enterprise SyncNative.

For large research departments, multi-lab groups, or institutional deployments across multiple labs, Enterprise SyncNative starts from €29.99/month and is designed for encrypted realtime collaboration, admin controls, and operational support.


Sortify — Shared Memory for Your Space. The shared brain your lab has always needed, built for the reality of how labs actually work.


MokingBird Oy — sortify.mokingbird.xyz