ErrorLens · AI-assisted debugging and monitoring, offered as SaaS
See, triage and investigate application issues with AI assistance.
AI-assisted debugging, monitoring, and issue visibility supporting engineering investigation and response.For engineering teams that run and support applications. Our own engineers use it on the products we build.
Tell us about your operation and we’ll get in touch to show you a live demo in a meeting.
- Offered as SaaS
- AI-assisted, engineer-reviewed
- Used on our own products
- Your data belongs to you
Engineering Intelligence
A clearer view for the engineering team.
A failure signal is only the start of the work. ErrorLens supports visibility, triage, and debugging so engineers can understand the issue and decide what needs investigation next.
Issue visibility
Bring application issues into a view engineers can work from.
Triage
Review the available context and identify what needs attention.
AI-assisted debugging
Support investigation with assistance that engineers evaluate against the evidence.
Reliability monitoring
Follow signals related to application behaviour and reliability.
Response analytics
Look at the engineering work around issues and response.
Cross-product observability
Support engineering visibility across the product stack.
Explore the workflow
From a signal to an engineering investigation.
This conceptual example shows issue intake, triage, and investigation. AI assistance supports the engineer’s judgement; the demonstration does not apply changes to a system.
Put the issue and its context together.
Review the application signal and the information available for investigation.
Examples illustrate issue visibility, not live incidents or reliability metrics.
- Signal
- Request failure
- Area
- Application API
- Next step
- Review context
- Signal
- Job exception
- Area
- Background task
- Next step
- Inspect record
- Signal
- Slow operation
- Area
- Application
- Next step
- Investigate path
Illustrative records and interactions — this is not a live product session.
A shared issue view
Engineers have a place to start investigating.
Context for triage
Available signals inform the next action.
Human-reviewed assistance
Engineers check explanations and proposed changes.
Feedback into the build
Investigation findings inform ongoing development.
A connected sequence
From a signal to a validated change.
How the work moves through ErrorLens. Environments, access and support scope are agreed with you and set out in the written proposal.
Observe
Receive a signal with the available application context.
Triage
Assess the issue and identify an investigation owner.
Investigate
Use context and assistance to form a testable explanation.
Validate
Check the proposed change and its effects.
Learn
Use the findings to improve the engineering response.
Before we get started
Questions about ErrorLens.
Explore the wider stack
Often used together.
Products and services that often sit alongside this one. The right combination depends on your workflow and the systems already in place.
Can we use ErrorLens on our own applications?
Yes. ErrorLens is offered as SaaS. Tell us about your application and we’ll get in touch to show you a live demo in a meeting.
Does it automatically fix application errors?
No. ErrorLens helps engineers see, triage and investigate issues, with AI assistance they check against the evidence. Engineers review and validate every change.
How does it relate to Vloud?
Vloud handles deployment, hosting and runtime operations. ErrorLens helps engineers investigate the issues that come up. Both are offered as SaaS, and our engineers use both.
Can we see ErrorLens working?
Yes. Tell us about your operation and we’ll get in touch to show you a live demo of ErrorLens in a meeting.
How much does ErrorLens cost?
There’s no public price list. We price to your scope and confirm it, with the timeline, in a written proposal after a free 30-minute discovery call.
How long does it take to get started?
It depends on your application and how it runs today. The timeline is confirmed in the written proposal.
Who owns our data?
You do. Your data belongs to you.
What happens after go-live?
Your account manager remains your point of contact, and the support arrangement is agreed with you and set out in the written proposal.
Who will we work with?
An account manager, plus the engineers on your project. We work in Arabic and English, and we sign an NDA if you need one.
Start with your requirements
See ErrorLens in a live demo.
Tell us about your operation and we’ll get in touch to show you a live demo in a meeting.