Managing infra ate up bandwidth a team of 20 couldn't spare. Now AI runs support, scheduling, and ops—freeing them to build.
An Ireland-based sustainability startup that embeds verified carbon offsetting into hotel bookings and retail purchases, operating 8 million hotel listings across 195 countries, 25,000 API integrations, and 6,600+ partner territories with a team of 20.
As AI reshaped the technology landscape, the platform's existing cloud infrastructure couldn't scale to support millions of hotel records, thousands...
“Every booking on IMPT funds one tonne of verified carbon offset without asking customers to do anything extra. Google Cloud gives us the scale to make climate action part of every transaction, not an afterthought.”
Blockchain-based carbon offset platform for eco-friendly shopping and travel.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
IMPT's Business automation is part of this use case:
Related implementations across industries and use cases
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Automation required manual logic mapping. Non-technical users now describe needs in plain text to deploy production-ready code.
Surging inbound leads bottlenecked a lean sales team. AI now researches and routes prospects, arming reps with instant pre-meeting briefs.
Same work tracked in four disconnected tools. AI pulls live context from all of them—drafts land ready to sharpen, not start.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Managing infra ate up bandwidth a team of 20 couldn't spare. Now AI runs support, scheduling, and ops—freeing them to build.
An Ireland-based sustainability startup that embeds verified carbon offsetting into hotel bookings and retail purchases, operating 8 million hotel listings across 195 countries, 25,000 API integrations, and 6,600+ partner territories with a team of 20.
As AI reshaped the technology landscape, the platform's existing cloud infrastructure couldn't scale to support millions of hotel records, thousands...
“Every booking on IMPT funds one tonne of verified carbon offset without asking customers to do anything extra. Google Cloud gives us the scale to make climate action part of every transaction, not an afterthought.”
Blockchain-based carbon offset platform for eco-friendly shopping and travel.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
IMPT's Business automation is part of this use case:
Related implementations across industries and use cases
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Automation required manual logic mapping. Non-technical users now describe needs in plain text to deploy production-ready code.
Surging inbound leads bottlenecked a lean sales team. AI now researches and routes prospects, arming reps with instant pre-meeting briefs.
Same work tracked in four disconnected tools. AI pulls live context from all of them—drafts land ready to sharpen, not start.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.