We work with early-stage agricultural biotech companies that generate real experimental data but do not have a dedicated data scientist on staff. We handle the data side so scientists can focus on the science.
Agricultural biotech teams generate valuable experimental data every day. The challenge is turning that data into something rigorous, reproducible, and ready to share.
We are not here to interpret your science. You understand the biology. We make sure the data behind it is structured correctly, analyzed appropriately, and presented in a way stakeholders can trust.
Think of us as the data infrastructure layer your team is missing — without the cost of a full-time hire.
Raw trial outputs analyzed with the right statistical approach for your experimental design. Delivered as a clean, defensible report ready for investors, regulators, or partners.
Reproducible pipelines so every new trial moves faster. Raw data in, structured analysis out — no manual cleanup, no inconsistencies between runs.
Interactive dashboards that translate your results into something every stakeholder can read, not just your data team.
Structured reports built around your experimental data — ready to support funding applications or regulatory submissions.
No long onboarding. No ambiguity. Every engagement starts with a free conversation so we understand your data before we touch it.
A free 30-minute conversation to understand your data, your experimental design, and what you need to show. No commitment.
You share files through a secure channel. We sign a data use agreement before anything moves.
We work inside your cloud environment when possible. Pipelines, analysis, and visuals built to your specifications.
Final report or dashboard delivered with a walkthrough so your team understands every output.
Inferent Analytics was founded by a bioinformatician and computational scientist with hands-on experience in agro-biotechnology, crop science, and pharmaceutical data engineering.
You ran the trial. You understand the biology. We make sure the data behind it is as rigorous as the science — structured, analyzed, and presented in a way that holds up under scrutiny.
Every engagement is governed by a data use agreement signed before any files are shared. Your experimental data is your intellectual property and we treat it that way.
Whenever possible we work directly inside your cloud environment — AWS, Azure, or Google Cloud — so your data never leaves your infrastructure.
For teams without a cloud setup we use encrypted, business-grade file transfer with full audit trails.
Inferent Analytics was founded by a biological data scientist with a career spanning agricultural biotechnology, pharmaceutical manufacturing analytics, and computational biology.
The practice exists because small ag-biotech teams consistently face the same gap — rigorous science, but no one to handle the data infrastructure behind it.
The name Inferent reflects the core of the work. Inference is about drawing reliable conclusions from data. That is the job.
The scientist understands the biology. We make sure the data behind it is as strong as the science.
Inferent AnalyticsEvery project starts with a free 30-minute conversation via Zoom or Teams. Tell us about your data and what you need to show. No commitment — just a conversation to see if we are the right fit.