Nulab
Incident response
A small team manually investigated alerts across 35 AWS accounts. Now, engineers use AI chat to instantly pinpoint system anomalies.
- Alert triage time cut from 30 mins to under 5 mins
- DDoS attack investigated in 4 minutes
Midnight alerts meant engineers tracing logs for hours. Now Clank pinpoints root causes and opens a PR before they're out of bed.
An AgriTech unicorn providing GPS-enabled collar technology for virtual fencing, remote herd movement, and 24/7 livestock health monitoring, operating across New Zealand, Australia, and the United States.
The platform generates more than 16,000 CloudWatch alerts, with engineers responding to over 40 tickets daily, each requiring manual log...
“A farmer can shift their animals with the press of a button and get 24/7 monitoring of their animal well-being.”
Virtual fencing and pasture management platform for dairy and beef cattle.
Cloud computing platform and on-demand infrastructure services.
Halter's Incident response is part of this use case:
Related implementations across industries and use cases
A small team manually investigated alerts across 35 AWS accounts. Now, engineers use AI chat to instantly pinpoint system anomalies.
Global growth outpaced engineering capacity. 300+ agents now generate 50% of code and auto-resolve 70% of support tickets.
Every alert still needed command-center follow-up — a ceiling as fleets grew. FleetGPT now reasons over each event and acts, not just flags.
Global growth outpaced engineering capacity. 300+ agents now generate 50% of code and auto-resolve 70% of support tickets.
Standard tools mislabeled 1 in 5 reviews. By routing tasks to specialized models, the system now delivers trusted, nuanced insights.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Midnight alerts meant engineers tracing logs for hours. Now Clank pinpoints root causes and opens a PR before they're out of bed.
An AgriTech unicorn providing GPS-enabled collar technology for virtual fencing, remote herd movement, and 24/7 livestock health monitoring, operating across New Zealand, Australia, and the United States.
The platform generates more than 16,000 CloudWatch alerts, with engineers responding to over 40 tickets daily, each requiring manual log...
“A farmer can shift their animals with the press of a button and get 24/7 monitoring of their animal well-being.”
Virtual fencing and pasture management platform for dairy and beef cattle.
Cloud computing platform and on-demand infrastructure services.
Halter's Incident response is part of this use case:
Related implementations across industries and use cases
A small team manually investigated alerts across 35 AWS accounts. Now, engineers use AI chat to instantly pinpoint system anomalies.
Global growth outpaced engineering capacity. 300+ agents now generate 50% of code and auto-resolve 70% of support tickets.
Every alert still needed command-center follow-up — a ceiling as fleets grew. FleetGPT now reasons over each event and acts, not just flags.
Global growth outpaced engineering capacity. 300+ agents now generate 50% of code and auto-resolve 70% of support tickets.
Standard tools mislabeled 1 in 5 reviews. By routing tasks to specialized models, the system now delivers trusted, nuanced insights.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.