RockStep Climb Alternatives for Vivarium, Colony and Animal Research Management

Why vivarium teams start looking for a RockStep Climb alternative

The most common reason has nothing to do with animals. It is the invoice run. Per diem billing rules differ wildly between institutions: some charge by cage day, some by animal day, some by census snapshot, some prorate the day of arrival and not the day of death, some apply different rates by species, room, containment level or funding source, and almost all of them have exceptions for shared cages, breeders, and animals on hold. Every facility manager who has reconciled a month of charges against what principal investigators believe they owe knows how this ends: a spreadsheet, an argument, and a credit note.

The second reason is the boundary between facility operations and science. A colony system knows cages, animals, litters and locations. Your investigators care about cohorts, treatment groups, dosing schedules, tumour volumes, body weights over time and endpoints. Some of that fits in a colony system and some of it does not, so it ends up in lab notebooks and spreadsheets, disconnected from the animal record that the facility maintains. When an IACUC question arrives about what happened to a specific animal, the two halves have to be stitched back together by hand.

The third reason is growth. A second building, a barrier facility, an imported colony, a new species, a contract to house another group's animals, and suddenly the assumptions baked into a single facility deployment start showing at the seams.

What Climb genuinely does well

Purpose built animal management software earns its keep in the details nobody wants to specify from scratch. Breeding genealogy with correct handling of trio and harem setups. Weaning that splits a litter into new cages while preserving lineage. Genotype records attached to animals that arrive after the animal is already in a study. Cage cards that print with the right information for the right room. Census that reconciles to what is physically on the rack. Tasks and health records that a technician can complete on a tablet in a gown at the cage side, which is a genuine user experience problem, not a nice to have.

Any team that has tried to model breeding and census in a general purpose database discovers within a month that the edge cases are the whole job. Buying that logic is one of the better software decisions available to a research facility.

Where facility systems strain

Billing is the loudest strain, because charging models are institutional policy rather than software categories. If your policy contains conditions the product cannot express, the workaround is an export, a set of formulas and a monthly ritual. That ritual is unauditable, error prone and staffed by exactly the person you cannot afford to lose.

Protocol enforcement is the second. IACUC protocols approve species, numbers and procedures, and the useful control is preventing an order or a transfer that would exceed the approved number, not reporting on the breach afterwards. That control requires the protocol system and the animal system to agree continuously, which usually means an integration nobody has built.

Hardware is the third. Scales, barcode and RFID readers, ventilated rack sensors, cage wash tracking and environmental monitoring all produce data that would improve operations, and connecting them is bespoke work in almost every facility because no two buildings are equipped identically.

The fourth is study data depth. Facility systems capture in life observations to a reasonable standard. They are not designed to carry a full study design with randomisation into treatment groups, dosing calculations by body weight, blinded assessment and endpoint analysis. In vivo groups that need that either buy a separate study system or run it in spreadsheets.

Your realistic options

• Stay and configure harder. Facility teams frequently run a fraction of the available workflow, task and reporting capability because the original rollout focused on census. An internal review of what is configured is cheap and often ends the search.
• Switch vivarium platforms. Established alternatives include tick@lab from a tune, Topaz Technologies, eSirius, LabTracks and SoftMouse, and they differ meaningfully in how they handle billing, protocol linkage and study capture. Evaluate them against your billing policy specifically, because that is where the differences bite.
• Keep the colony system and build the billing engine. A focused build that reads census and cage data, applies your actual charging policy and produces reviewable invoices and chargeback files for finance. This is the single highest return custom project in this category.
• Add a study layer. Keep husbandry where it is and build the in life study execution tool your scientists need, linked to the animal identity in the colony system so the record stays whole.
• Build the whole thing. Rarely worth it. You would be rebuilding genealogy and census logic that is already solved, in exchange for flexibility you can obtain more cheaply at the edges.

When a custom build pays back

Follow the money and the risk. If your facility bills several million a year in per diems and the reconciliation is manual, a billing engine that applies policy consistently pays for itself in recovered charges and reclaimed staff time, and it stands up to an audit in a way a spreadsheet never will. That is the strongest business case in this category by a distance.

The second case is the contract research organisation. If housing and running studies for clients is your commercial product, then study execution, client visibility and study level costing are the product, not overhead. A client portal showing live study status and animal welfare records changes how you sell, and no facility management product will differentiate you the way an owned workflow can.

The third is multi facility institutions with genuinely divergent practices across buildings, where one configuration cannot serve everyone and the alternative is either four deployments or four spreadsheets. A shared layer that respects local practice while reporting centrally is usually cheaper than forcing every building onto one process, and it avoids a political fight you were never going to win.

Migration reality

Animal data migration has one property that makes it harder than it looks: the colony is alive and moving while you migrate. Animals are born, weaned, transferred and euthanised daily, so a static export goes stale the moment you take it. Practical teams freeze non essential movements for a short window, export the census with lineage, cage assignments, genotypes, health records and protocol links, load and reconcile a physical count against the system count in at least one room, then release.

Lineage is the part that breaks. Verify that parentage survives the export in a form the new system can rebuild, including animals whose parents were culled years ago, because a colony without pedigree is a colony you cannot breed strategically. Keep historical records readable for the retention period your institution and funders require, and confirm with your IACUC office what has to remain retrievable for audits.

Technician retraining is the cost people forget. Cage side work is muscle memory. Plan for shadow running in one room, let the technicians who will use it help design the screens, and expect a fortnight of reduced throughput regardless of how good the software is.

Cost bands

Commercial vivarium platforms are quoted by institution, typically scaling with facility size, animal counts and modules, with implementation and configuration services on top. Ask specifically what happens to the number when a second facility comes online.

On the custom side, based on what Digital Heroes typically delivers: a focused build such as a per diem billing and chargeback engine reading from your existing colony system, or an in life study execution tool linked to animal identity, runs roughly $55k to $130k over 10 to 18 weeks. A full platform covering census, breeding, health records, tasks, protocol enforcement, billing and hardware integration runs roughly $180k to $350k as a one time build cost plus modest hosting.

The honest recommendation

Stay on a purpose built colony system. That advice holds for most readers, because breeding, weaning, census and cage management are solved problems and rebuilding them is a poor use of a research budget. Switch platforms if your billing policy or protocol enforcement genuinely cannot be expressed in what you run today and a competitor can express it. Build at the edges when the money leaks there: billing reconciliation, protocol headcount control, study execution, client facing visibility for contract work. The best outcome for most facilities is not a new vivarium system. It is the existing one, connected properly to finance and to the science, with nobody rebuilding the invoice run by hand every month.