Leaning on external APIs for sensitive government workflows cost MISA control and cash. On-premise AI factory cut it.
Vietnam's leading enterprise software company, serving more than 450,000 government and business customers and 3.5 million individual users across accounting, tax, sales, HR, and public administration workflows.
Dependence on external LLM APIs created high operational costs, data security gaps, and latency problems for sensitive enterprise and government...
“NVIDIA's solutions not only enhance processing speed, system stability, and task-specific accuracy, but also establish a strong foundation for MISA to fully master the technology, including research, training, deployment, and security assurance, in order to deliver the best AI solutions to customers.”
Enterprise software for accounting, HR, CRM, e-invoicing, and government solutions.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
MISA's Enterprise workflow automation is part of this use case:
Related implementations across industries and use cases
Overtaxed servers left 13 legal models trailing as laws changed. AWS migration cut costs 40%, throughput up 170%, opened new markets.
Massive models exceeded server memory. An AI factory now powers agents that write code and turn design flowcharts into specs.
Rigid prompts limited AI to isolated tasks. Now, a central reasoning model coordinates agents to plan and execute complex workflows.
Overtaxed servers left 13 legal models trailing as laws changed. AWS migration cut costs 40%, throughput up 170%, opened new markets.
Massive models exceeded server memory. An AI factory now powers agents that write code and turn design flowcharts into specs.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Reaching a new market meant standing up another dubbing team. One API now dubs into 30+ languages; creators edit tracks before it goes live.
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.
Leaning on external APIs for sensitive government workflows cost MISA control and cash. On-premise AI factory cut it.
Vietnam's leading enterprise software company, serving more than 450,000 government and business customers and 3.5 million individual users across accounting, tax, sales, HR, and public administration workflows.
Dependence on external LLM APIs created high operational costs, data security gaps, and latency problems for sensitive enterprise and government...
“NVIDIA's solutions not only enhance processing speed, system stability, and task-specific accuracy, but also establish a strong foundation for MISA to fully master the technology, including research, training, deployment, and security assurance, in order to deliver the best AI solutions to customers.”
Enterprise software for accounting, HR, CRM, e-invoicing, and government solutions.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
MISA's Enterprise workflow automation is part of this use case:
Related implementations across industries and use cases
Overtaxed servers left 13 legal models trailing as laws changed. AWS migration cut costs 40%, throughput up 170%, opened new markets.
Massive models exceeded server memory. An AI factory now powers agents that write code and turn design flowcharts into specs.
Rigid prompts limited AI to isolated tasks. Now, a central reasoning model coordinates agents to plan and execute complex workflows.
Overtaxed servers left 13 legal models trailing as laws changed. AWS migration cut costs 40%, throughput up 170%, opened new markets.
Massive models exceeded server memory. An AI factory now powers agents that write code and turn design flowcharts into specs.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Reaching a new market meant standing up another dubbing team. One API now dubs into 30+ languages; creators edit tracks before it goes live.
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.