Accelerate your biomanufacturing R&D with AI-powered optimization.
Compress months of experimentation into weeks.
Trusted by teams at
Platform
Introducing Voyager
Voyager is Bioqore's AI-powered, closed-loop bioprocess intelligence platform to identify preclinical and clinic ready therapeutic candidates. It helps bioprocess development move from parameter uncertainty to validated process insight fast, saving significant time, money and resources.
Instead of spending months on trial-and-error optimisation or relying on software alone, Voyager combines predictive modelling with real experimental validation. It proposes high-value conditions, tests them, and returns structured, decision-ready data your team can act on.
The result: up to 60-80% faster development timelines, fewer wasted experiments, and processes designed for scale from the outset.
Process
How Voyager works
Voyager operates as a closed loop, starting from your process parameters and delivering validated, decision-ready insights.
1. Define your process
You provide your target system, constraints, and key variables (e.g. media, conditions, or performance goals). Voyager maps the relevant design space and identifies the most promising conditions to test.
2. Test and learn
We run targeted micro-scale experiments to validate these predictions, generating real data, not just simulations.
3. Get decision-ready outputs
You receive a structured data package with recommended conditions, supporting experimental results, and clear confidence ranges—so your team can move forward with speed and certainty.
Features
What Voyager delivers
Prediction across your design space, execution in the lab, insight across scale, and outputs your team can trust.
Predictive process optimization
Voyager identifies promising process conditions across a wide design space, helping teams focus on the experiments most likely to matter.
Physical validation built in
Unlike software-only tools, Voyager pairs model recommendations with real laboratory execution, so outputs are grounded in experimental data.
Scale-up risk insight
Voyager is designed to evaluate performance across scale, helping teams assess robustness and reduce downstream scale-up risk earlier in development.
Confidence-based outputs
Rather than giving a single “best guess,” Voyager provides parameter ranges and confidence intervals to support more informed process decisions.
About Us
We are on a mission
Bioqore was founded to get life-changing therapies to patients as quickly as possible. Our goal is to produce preclinical- and clinic-ready therapeutic candidates in weeks and months, not years! We are revolutionizing biomanufacturing, turning trial-and-error into a precise, intelligent system.
Our team brings together expertise across biology, process engineering, and AI, with a shared focus on translating complex systems into scalable, real-world solutions. We build tools that don't just model biology, but actively shape and accelerate it.
Our identity, reflected in our name and logo, is inspired by the cell, the fundamental unit of life and the origin of every bioprocess. Just as cells coordinate complex biological systems, Bioqore brings clarity and intelligence to the processes that turn biology into real-world therapies.
Founders
Joshua Hinckley, PhD
CEO
Joshua leads Bioqore's vision and strategy. With a background in fermentation, high-throughput biology, and AI, he founded Bioqore to turn biomanufacturing from guesswork into science. His experience spans academic research and industry, with a focus on making bioprocess R&D faster and more predictable so life-changing therapies can reach patients sooner.
LinkedIn
Brendan Dang
COO
Brendan drives scientific strategy and platform development at Bioqore. He brings deep expertise in cell culture, scale-up, and data-driven optimization. Before Bioqore, he worked across biotech and pharma on process development and analytics. He is focused on building tools that let teams move from pilot to production with confidence.
LinkedInBuilt for scale
From lab to production
FAQ
Frequently Asked Questions
Voyager analyzes your bioprocess data and uses machine learning to recommend which experiments to run next. Instead of testing parameters randomly, you get guided recommendations—so every experiment brings you closer to optimal production parameters. Your lab executes. You own the results.
Get in touch
Tell us about your bioprocess goals and we'll get back to you.