Identity
Measure the biological starting conditions of a study, at the resolution where differences between animals sharing one strain label actually appear.
sibil & lineageops · biological identity r&d
Building universal
biological identity
infrastructure.
Trace the lineage. Control the system. Test the claim.
New Age Sibyl Project (NASP) is built of two interlinked halves. SIBIL is the biological programme, staged from small animals through large animals toward identity-matched replacement biology. LineageOps is the digital operations layer that integrates the work with automation and AI-assistance. The biology defines what has to be measured, and the operations layer makes measuring it repeatable.
sibillineageopsrodent-firstvendor-neutralstage-gatedautomationai-assistedreplacement biologylongevity infradeep tech
life science
measure
operate
validate
compound
simulationphysical systemspartner lab
The problem
“Standardized” does not mean fully traceable.
Standardization is not enough when biological starting conditions are not measured. We track lineage, environment, behaviour and experimental provenance so laboratories can see what changed before conclusions are trusted.
Development
Treat developmental environment and lineage history as part of the experimental system, recorded on the same footing as the protocol itself.
Reproducibility
Create stable reference baselines against which deliberate biological variation can be tested across sites and time.
Documented cases
What unmeasured variation has already cost.
Each of these is a published account of an experiment moving because something outside the protocol changed. They span oncology, immunology, ophthalmology and behavioural science, and every one of them was found after the fact.
Two suppliers, two outcomes
Genetically similar mice from different vendors grew tumours at substantially different rates, and responded differently to an immunotherapy. The difference travelled with the gut microbiota, and transferring it between animals removed the gap.1
Room temperature moved the biology
Standard mandated housing sits below the thermoneutral range for mice. Animals held at standard temperature showed faster tumour growth and measurably weaker antitumour immunity than animals held warm.2
Who handled the animals
Exposure to male experimenters produced a stress response and stress-induced analgesia in mice and rats, shifting apparent baselines in pain and behavioural testing.3
A variant inside a substrain
A spontaneous mutation in one commercial line produced striking immune phenotypes, and was carried into multiple gene-targeted lines before anyone identified it as the cause.4
The wrong gene credited
A retinal mutation present across an entire substrain family produced eye disease that had been attributed to the genes under study, affecting work across vision research.5
Routine husbandry, measurable response
Continuous home-cage monitoring across three institutions recorded activity responses to ordinary cage changes, alongside behavioural differences between sites running the same nominal strain.6
Why it matters commercially
The cost lands on whoever runs the next experiment.
In pharmaceutical and biotechnology work, a result that moves for an unrecorded reason is discovered late, usually during scale-up, replication or a partner handover, when the study has already been paid for. Recording the conditions at the time of the experiment is cheaper than reconstructing them afterwards, and it is what lets a disagreement between two studies be settled by evidence.
The structure
Two halves of one system.
SIBIL sets the biological objectives and LineageOps makes the resulting work measurable and repeatable. They are developed together because each one determines what the other has to handle.
The biological programme
Staged research in biological identity, developmental control and replacement biology, advancing deliberately from simpler organisms toward harder ones. Work runs through qualified partner laboratories under appropriate ethics and welfare review, and begins in earnest once the programme is capitalised.
The digital operations layer
A vendor-neutral layer connecting lineage, environment, procedures and outcomes, with automation and AI-assistance built in. A working software prototype exists, tested against a public research dataset and built on widely used open frameworks so that sensing and laboratory hardware can be integrated once funded.
SIBIL stages
Small animals first. Larger ones only when earned.
Each stage has to produce evidence before the next one is attempted, because the biological and regulatory difficulty rises sharply at every step.
Early-stage SIBIL
Small-animal focus, starting with rodents. Establishes the identity, lineage and developmental groundwork on the most tractable and best-understood models available.
Late-stage SIBIL
Large-animal focus, extending through progressively more complex species and ending with non-human primates, under the heavier oversight that such work properly requires.
Human-grade SIBIL
The long-range objective that the earlier stages exist to make credible. It becomes reachable once each preceding stage has produced its evidence.
The approach
A practical operations layer with a compounding biological roadmap.
The first layer helps labs measure and operate rodent studies more clearly. Each validated layer creates data, workflows and evidence for the next, more ambitious stage.
Capture starting conditions
Connect lineage, environment, behaviour and experimental provenance into one linked record for each animal and study.
Run traceable studies
Support animal, facility and study workflows through a vendor-neutral operations layer.
Prove useful change
Test defined claims through qualified partner labs, appropriate oversight and repeatable evidence.
Build toward biological control
Use validated data and systems to advance rodent identity products, clonal lineages and replacement-biology collaborations.
Early Steps
The first 24 months.
These gates convert the current thesis into a working product, partner-lab evidence and a credible biological programme.
Months 0–3
Architecture gate
Technical architecture, literature map, failure-mode register, ethics route, simulation specification and external review.
Months 2–7
Physical-control gate
Benchtop sensing, imaging and environmental-control prototype demonstrating stable closed-loop operation.
Months 6–15
Biological-validation gate
Formal partner-lab collaboration and one predefined biological subsystem test with an animal-welfare plan.
Months 12–24
Replication gate
Repeatability data, independent review, comparison against simulation and preparation for a larger wet-lab financing round.
Horizon
The compounding roadmap
Each stage creates products, evidence and collaborations that support the next.
Years 0–2
LineageOps + partner-lab validation
Build the vendor-neutral rodent operations layer, run facility pilots and validate one defined biological subsystem with a qualified partner lab.
Years 2–4
Rodent biological identity products
Turn validated lineage, environment, behaviour and outcome data into products for more controlled rodent research and customized testing.
Years 4–6
Clonal-lineage platform
Advance toward verified, repeatable clonal-lineage control through staged R&D and external validation.
Years 6–10
Veterinary + replacement-biology collaborations
Expand through specialist collaborations toward veterinary cloning, tissue work and identity-matched replacement biology.
Team
Dedicated people across biology, instrumentation, software and protocols.
The core covers systems and software, precision instrumentation, experimental biology, and veterinary protocols. Several members contribute alongside ongoing degrees or research posts, deepening as the programme is funded.
S. W.
Biotechnology and information technology across both halves. Published AI/ML research engineer with work spanning microscopy, computer vision, sensing, robotics integration and simulation, alongside product and commercial execution.
R. K.
Veterinary medicine with small-animal and equine clinical exposure. Leads animal-model workflow, welfare planning, protocol design and the bridge into partner laboratories.
S. D.
Experimental neuroscience with rodent surgery and formal laboratory-animal training. Optogenetics, electrophysiology, human iPSC-derived neuronal work, molecular cloning and broad wet-lab technique.
S. V.
Bioinformatics and full-stack scientific software. Structural-biology computation, transcriptomic analysis and pathogen genomics, plus dashboards, APIs and deployment.
S. A.
Precision scientific hardware across optics, mechanics and electronics. Detector characterisation, data acquisition and control, cryogenics, and the technical-commercialisation perspective that comes with it.
A. B.
Six years of production backend and data-platform engineering. High-throughput event-driven systems, schema validation, fault recovery and cloud operations, with a record of collapsing integration timelines from weeks to days.
Project Philosophy
Start practical. Compound toward the extraordinary.
New Age Sibyl Project starts with rodent operations and biological identity, then advances through stage-gated R&D toward clonal-lineage control and replacement biology with qualified collaborators.
- The aim is to produce a validated biological prototype through successive stages.
- Existing research supports individual components and partial transitions, and implies the feasibility of a complete repeatable pipeline.
- A working LineageOps software prototype exists, tested against a public research dataset. The SIBIL side awaits capitalisation.
- Initial biological work is non-human and rodent-first.
- Animal experiments would occur through qualified partner laboratories with required ethics and welfare review.
- Biomedical and pharmaceutical application is the long-term objective.
This website describes an early research and venture direction, at the stage of a working software prototype and a capitalisation-dependent biological programme.