Tracer combines cutting-edge technological advances with the deep understanding of scientific industries to give insights into enterprises' digital and AI acceleration.
But the tools have not caught up with the vision.
from curing cancer
personalised medicine
revolutionising human computer interaction
Yet, the infrastructure that supports this innovation
is lagging by not giving enough information, slowing
the very progress it aims to support.
We can't tell where to double down or when we have gone completely off track.
This blind spot in scientific
computing is costing us breakthroughs.
No structured way to measure ROI, track progress, or identify the areas to double down on AI investments
Metadata and crucial context get lost during handovers—leading to confusion, rework, and slower collaboration
Legacy systems lack the insights needed to debug, optimise, or even pinpoint performance bottlenecks
Cloud spend is opaque. Manual tagging is unreliable. Itʼs hard to predict budgets or connect spend to value
fixwhat you can't seefixwhat you can't seeModern science is going software-first. With AI and digital tools, researchers are moving fast — and becoming one of the largest developer communities.
They wantflexibility andvisibility, not no-code shortcuts.
Because in high-stakes decision making, every wrong assumption costs time, money, and opportunity. Generic monitoring tools weren't built for this. They miss the nuance, ignore the workflows, and fail to meet the security and data demands of scientific environments.
meet the modern monitoring platform for scientific enterprises
Tracer combines cutting-edge technological advances with the deep understanding of scientific industries to give insights into enterprises' digital and AI acceleration.
To generate more cancer treatments faster. To advance space exploration through faster rocket design. And to make science fiction reality.
_A Unified Platform
Total visibility into computational infrastructure
Gain real-time, granular insights into every workload and process, independent of coding language, cloud structure, or location
Predict and optimise compute requirements
Forecast the exact running time and compute needs of pipelines. Further optimise your underutilised instances and increase the usage of AI models in a cost-efficient manner
Fix issues instantly
Gain deep insights into the root causes of bugs across all analyses, recognise the error type, and solve instantly
Total visibility into computational infrastructure
Gain real-time, granular insights into every workload and process, independent of coding language, cloud structure, or location
Predict and optimise compute requirements
Forecast the exact running time and compute needs of pipelines. Further optimise your underutilised instances and increase the usage of AI models in a cost-efficient manner
Fix issues instantly
Gain deep insights into the root causes of bugs across all analyses, recognise the error type, and solve instantly
Gain full-stack visibility into the efficiency of your AI and computational biology workflows focusing on usage, computational bottlenecks, costs, and speed. Assess which workloads do not run at peak efficiency
Assess pipeline failures and their root causes across your entire infrastructure. Understand where disruptions occur and how to solve them at scale
We don’t want to just pass your security checks; Tracer is built with security-by-design
Totally run on your own cloud systems with minimal overhead
No data or calculations ever leave your systems
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