Accessing the next generation of antibody therapeutics requires deep integration of frontier intelligence, an ML-native technology stack and a unique, automated wet lab platform to enable the data scale and quality to power tomorrow’s models.
Unparalleled CFPS and automation drives a weekly TAT and thousands of protein designs per workcell, generating data at a scale manual labs can’t reach.
A bespoke LIMS++ manages every instrument’s raw output, producing a scalable data lake of labeled, metadata-rich training data.
Agent-automatable ML designs millions of molecules a week and trains hundreds of models on BigHat proprietary data.
BigHat’s Milliner™ platform was built from the ground up as a fully automated stack with lab, software, infrastructure and ML thoughtfully united to produce a production scale data, modeling and therapeutic platform. We see data as a foundation for the next generation therapeutics. We take advantage of advances in frontier and de novo modeling strategies as tools on the path to great antibodies. Where our approach differs is in our focus on practical, therapeutic and program specific data rich models.
Our platform fills the huge divide between identifying a valuable therapeutic starting point and achieving a serious, pristine quality therapeutic ready to save human lives. The result is a platform that can operate at scale with the industry’s fastest turnaround times, at thousands of molecules per week, harnessing frontier intelligence and deeply integrated agents managing a zoo of models for dozens of therapeutic tasks.
Our wet lab is the engine of the platform, designed around cell-free protein synthesis and end-to-end automation. The result is thousands of molecules produced and characterized to gold-standard quality per week, with 1-week turnaround from design to data. This combination of speed, scale, and quality can only come from a synthetic biology lab built from the ground up for ML.
The lab is where our vision and ambition are brought to physical reality. It is the engine that powers the rest of the platform. Our lab is scalable, highly automated, and fully programmable, with every instrument acting as a software-controlled node tightly integrated with our orchestration software.
This foundational technological and operational excellence, coupled with scientific innovation in protein expression, lets us operate at exceptional speed (1-week turnaround times, week after week) at the scale of thousands of molecules and tens of thousands of labeled data points per week. Beyond that, we push the boundaries of what can be measured at high throughput. Our characterization suite runs 20+ assays spanning developability, binding affinity, and function, so every molecule we express comes with a comprehensive profile.
The lab was built piece by piece on deep scientific knowhow and relentless iteration, operationalizing and scaling complex science.
We manage the quick, high-throughput deluge of pristine quality biophysical data from our lab in a unique, fully integrated data control plane that manages everything from experimental metadata, data and workflows to data pipelines and quality control at scale. It all lands in a single data lake, powering democratized visualizations and insights across all of our teams.
Our software and infrastructure stack was built from scratch around our lab, its automation and its processes. We capture every experiment, every piece of metadata, every observation and can drive each automation from a central control plane. Thousands of aliquots per week are sent on their journeys through the lab, a workflow that is managed in our data control plane and made visible to the scientists, program leads and others who review them.
Instrument files flow into our data pipelines: these evaluate every data point, produce quality control data and evaluate controls and finally feed the results into our massive data lake. Our dashboards, visualizations and scientific analysis tools are available across the company, allowing us to steer our program progress with precision. Finally, this data is automatically ingested into our automated machine learning training and inference.
This unprecedented integration of science and technology allows us to move faster and scale further than was previously possible. It also allows us to integrate frontier intelligence directly into every process, every antibody.
Evaluating all of the parameters of the totality of this data every week in order to design new antibodies calls for analysis at scale. We harness the power of LLM insight and tie it to agentic automation to ensure that we squeeze every iota of insight and value from every data point.
The last bottleneck for the next generation lab of the future is that of managing the minute details in a web-scale lab. By integrating agent harnesses at every part of our design round workflow, we can operate faster, never missing the smallest datapoint. We leverage the power of tireless and stringently validated frontier intelligence while maximizing the impact of our expert scientists, program leads, data scientists, ML scientists and engineers.
This combination is demonstrating its impact on the pace of our therapeutic improvement as well as on the scale of the programs we can manage with a sharp, focused staff. End to end, our technology infused lab stack is proving that the future of sophisticated, engineered antibodies is enabled only by data rich, sophisticated modeling at a scale that we have uniquely unlocked.
