Put the data you already have to work
Most life-science and environmental programs hold more data than they can use, and more AI ambition than their data is ready to support. Records sit across spreadsheets, lab systems, sequencing runs, field forms, and decade-old platforms that no one person fully understands. Public AI tools cannot safely touch most of it.
Biolytica works with government environmental agencies, genomics and biodiversity research laboratories, environmental consultancies, and life science organizations looking to automate scientific workflows and build governed AI systems. We design the data, knowledge, and automation infrastructure that turns that complexity into something a team can actually operate. The work is grounded in two decades of building BOLD, BINs, mBRAVE, and LifeScanner, the platforms that underpin global DNA barcoding efforts.
Data infrastructure, governed workflow automation, and systems architecture for life science
From production data platforms and domain-specific knowledge graphs to governed workflow automation and systems architecture, Biolytica engages at the level your program requires.
BIO·NEXUS
A configurable knowledge operations platform for biodiversity and life science programs, covering the full range from mobile field data capture and synchronization through governed data management, analytical workflows, and decision-ready reporting. Currently in active regulatory use across government agencies.
A governed data and curation environment in active use by your team, with field capture, analytical workflows, and audit-ready outputs configured for your program.
AI Automation & Knowledge Systems
Governed workflow automation and domain-specific knowledge graphs for life science organizations that need to automate curation, reporting, and evidence synthesis without surrendering control of their data or the outputs those workflows produce.
A domain-specific knowledge graph populated from your own data, a private AI deployment running against it, an evaluation report on the tasks you care about, and a hand-off plan your team can maintain.
Systems Architecture
Architecture and systems design for institutions that need more than implementation. The hardest work is understanding what needs to be built, and how it needs to evolve, before a line of code is written.
A written architecture for your data, knowledge, and AI systems, scoped against your governance, sovereignty, and procurement constraints, ready to take to internal stakeholders, funders, or vendors.
AI automation for life science organizations
Biolytica helps life science organizations use AI without surrendering control of their data, workflows, or institutional knowledge. We design governed AI systems grounded in domain-specific knowledge graphs, the layer that makes AI outputs reliable, traceable, and defensible rather than merely plausible.
Where data sovereignty requires it, systems are deployed on-premises with governed, audit-traceable pipelines. Domain expertise is encoded at the knowledge graph layer, not approximated through prompting.
Domain-specific knowledge graphs encode the relationships, provenance chains, and interpretive frameworks that make AI outputs reliable in your field. This is the layer that cannot be substituted by generic models or rapid implementation.
AI systems deployed within your infrastructure, with full data residency control, audit trails, and models adapted to your domain. No dependency on public APIs or external training sets.
Agentic systems that operate inside controlled workflows with validation, provenance, and expert review built into the architecture. Not added as an afterthought.
A track record of developing infrastructure that institutions worldwide rely upon
NIST identifies BOLD as a species identification resource within its forensic database guidance, establishing institutional credibility for the analytical workflows Biolytica delivers.
National Institute of Standards and Technology, Forensic Database Biology TableBOLD is a centralized bioinformatics platform for DNA-based biodiversity data, supporting reference library curation, analysis, and downstream applied workflows that has been in operation for over two decades.
Ratnasingham et al. (2024)BIO·NEXUS is in active regulatory use across multiple agencies, supporting wildlife crime investigation and prosecution in a legally demanding operational context.
From the Biolytica Team
Visualizing 13 Million DNA Barcode Records: A Global Map of Malaise Trap Biodiversity
A technical walkthrough of the eleven-step pipeline that converts tens of millions of raw DNA barcode records into 2,676 interactive Malaise trap sites, covering filtering, diversity statistics, rarefaction, and the lean static-plus-SQLite architecture that delivers it to the browser.
Three ways to begin a conversation
Biolytica works with a select group of government environmental agencies, genomics laboratories, environmental consultancies, and life science organizations seeking to automate scientific workflows. We drive real progress through deep focus.
Each entry point below is scoped, has a defined output, and is the right shape for a different kind of question.
90 minutes, complimentary
A structured conversation about your data, governance, and AI ambitions. You leave with a written summary of where your highest-leverage gaps are and whether Biolytica is the right partner.
Two to three weeks, fixed scope
We model a small, illustrative slice of your domain against a sample of your data and walk you through the result. A concrete artefact to take back to your team.
Two to four weeks
A written architecture for a specific data, knowledge, or AI problem you are facing. Designed to be presented to internal stakeholders, funders, or vendors.