Forge, GeMMA, and GIZMO are the production platform. Insilijo Science is how teams get the results those tools produce — strategy, custom pipelines, end-to-end biomarker discovery, cross-omics integration, and deployment into your own environment. Pick the engagement shape that fits your constraints. Every path ends in a concrete first deliverable inside six weeks.
For teams deciding what to build, buy, or outsource in multiomics or data infrastructure. Platform architecture reviews, build-vs-buy analyses, analytical governance audits, data strategy assessments. Deliverables are written — a decision-ready report and a stakeholder presentation.
Suited to: newly-funded biotechs standing up analytical capability, pharma teams evaluating internal vs commercial tooling, academic centers preparing for scale-up or acquisition diligence.
Scope an advisory engagement →Tailored analytical pipeline built on the Forge / GIZMO / GeMMA stack. For study-specific preprocessing, non-standard designs, unusual data formats, or domain-specific statistical approaches. Delivered as production code with documentation, test coverage appropriate to the study, and a team walkthrough.
Example work: longitudinal metabolomics with best-fit trajectory modelling per feature; multi-site reproducible preprocessing profiles; indication-specific microbiome-metabolome pipelines.
Scope a pipeline build →Full pipeline from cohort data to validated feature panel. Data audit and preprocessing → exploratory analysis → supervised ML with cross-validation → survival / time-to-event modelling → pathway interpretation (GIZMO) → clinical-grade reporting. Deliverables are a ranked feature panel, calibrated prediction model, HTML clinical report, and publication-ready figures.
Applicable to disease subtyping, prognostic scoring, treatment response prediction, and mechanism-of-action studies.
Scope a biomarker program →For groups already measuring multiple assay types (metabolomics, proteomics, transcriptomics, metagenomics, lipidomics) and needing them analysed together, not in parallel silos. Integration method matched to the question: MCIA, JIVE, DIABLO, MOFA+, SNF, variance partitioning, or combinations. Output includes integrated analysis, publication-ready figures, and methods text — runnable on Forge by your team afterward.
Particularly suited to: clinical studies with paired omics asking mechanistic questions; cohorts where the signal spans modalities (microbiome-driven disease, immune-metabolic coupling); preclinical-to-clinical bridges.
Scope an integration project →Engagement shape is separate from engagement model. The shape describes what's being delivered; the model describes how it's paid for and structured. Most clients mix two — e.g. a fixed-scope strategic audit followed by a retainer, or an end-to-end biomarker program under a statement of work with a follow-on retainer for publication support.
Defined deliverable, defined timeline, defined fee. Best for advisory work, contained pipeline builds, and time-boxed biomarker studies. Gives procurement an easy number; gives you predictability.
Typical: $25K–$150K depending on scope; first deliverable inside six weeks regardless of total engagement size.
A set number of hours per month against a running portfolio of questions. Best for teams that need a computational biology collaborator on call — ongoing strategy, analytical review, embedded support across multiple projects.
Typical: $10K–$35K / month; 3-month minimum, month-to-month thereafter.
Full engagement inside your team for a defined period — 3 to 12 months — with deliverables at defined milestones. Best for biotech groups building out multiomics capability, or programs that need a dedicated computational lead across a study's full arc.
Typical: negotiated by milestone; includes optional platform licence and team training throughout.
For groups that want ongoing access to Forge, GeMMA, and GIZMO as infrastructure, with analytical support as needed. Annual or multi-year; hosted or on-prem.
Bundled with any engagement shape, or contracted separately once the platform has been deployed.
For PIs who want Insilijo methods in a paper: co-authorship, methods writing, figure preparation, reviewer-response support. Typically includes Forge access for the duration of the project.
Grant-supported or pro bono depending on the work; scope set at project kickoff.
Most real engagements are some combination of the above. A scoping call sorts out which models fit your procurement process and the work at hand.
The goal is the work getting done cleanly, not forcing it into a predetermined box.
Long engagements don't get funded on trust — they get funded on evidence of progress. Every engagement, regardless of total size, produces a concrete deliverable inside the first six weeks. That deliverable is the go/no-go decision point for everything after it.
Scoping call
30–45 minutes. What are you trying to do, what data and constraints do you have, what does success look like. No fee, no commitment.
Written proposal
Scope, deliverables, timeline, pricing. Usually within a week of the scoping call.
Contract & kickoff
Consulting agreement, SOW, or fixed-fee contract — whichever your procurement prefers. Data access set up; work begins.
First deliverable
An audit report, first analysis pass, or proof-of-concept pipeline — whichever the engagement started with. Decision point for the rest of the work.
Typical client organisations:
Independent practice.
Insilijo Science is an independent consulting and advisory practice. Engagements are contracted through a consulting agreement, statement of work, or fixed-fee arrangement depending on your procurement process.
The analytical stack — Forge, GeMMA, GIZMO — is built and maintained by the practice; client engagements benefit from and contribute back to that stack.
Thirty to forty-five minutes. You describe the problem, we suggest which engagement shape and model fit, and you decide whether to move forward. No fee, no pressure, no pitch deck.