

_TRACER PLATFORM
Actionable insights, optimised workloads
Born for the cloud, Tracer provides deep insights into your AI and computational workloads. From team productivity to cost and performance management. Tracer makes large, expensive analyses swift and dynamic.
in science requires
a new approach
New Opportunities
AI’s full potential relies on fast experimentation, achievable only through optimised tooling and precise information
New Costs
AI supercomputing costs are skyrocketing, making efficiency crucial to sustain scientific progress
New Scale
Computational advancements require managing increasingly complex and dynamic computing architectures

One platform from monitoring
to insights, for scientists to executives
The Tracer Platform empowers teams across Data Science, Engineering, DevOps, and Machine Learning to monitor and optimise everything they build and run in the cloud.
01–03
TRACER PERFORMANCE
Predict and optimise
compute requirements
Forecast the exact running time and compute needs of your pipelines. Further optimise your underutilised instances and increase the usage of AI models in a cost-efficient manner
02–03
TRACER INTELLIGENCE
Total visibility into computational infrastructure
Gain real-time, highly granular insights into every workload and process, independent of coding language or framework, including highly parallelised processes across instances
03–03
TRACER DEBUG
Fix issues instantly
Gain deep insights into the root causes of bugs across all analyses, recognise the error type, and solve instantly
Gain full visibility into pipeline performance, cost, and usage, and
turn insights into better decisions.
Gain full visibility into pipeline performance, cost, and usage — and turn insights into better decisions.
Compute requirement
predictor
Accurately predict how much CPU, RAM, and memory
any pipeline needs for any file size and tools
Bottleneck centre
Review compute bottlenecks across your organisation to recognise underutlised instances, slow tools,
and low performance
Democratise pipeline
knowledge
Share real-time pipeline status with all team members
for ultimate visibility
Runtime calculator
Know when your pipeline will finish
Cloud cost dashboard
Review what is driving your cloud costs - across department to sub-tool level and everything in between
System of record
Know what analyses you did yesterday, last month,
and years ago

Your partner
in every step
of
your infrastructure journey
From your first steps building new computational pipelines to optimising existing
AI models in the cloud, Tracer is your partner for your shift to digital and AI.
- [01] [Gain visibility]
- [02] [Review existing pipelines]
- [03] [Develop new analyses]
- [04] [Recognise bottlenecks]
- [05] [Optimize for speed, costs, and quality]


Our implementation
takes 1 line of code
Our implemen-
tation takes 1 line
of code
Tracer connects through 1 line of code straight to your kernel-level system. It works instantly once copied into your Docker file or outside the file.
Our integration platform enables real-time sharing of DevOps findings across all your systems, apps, and services, to support AI adoption and enable a new dawn of science.
Monitoring insights for the worldʼs most complex industries

Automotive

Computational Fluid Dynamic

Pharma & Biotech

Aerospace
get a personalised demo
Ready to see Tracer
in action?
