HashMicro
Business process automation
Standard OCR failed on complex layouts. Vision-language models now automate matching, cutting validation effort by 40%.
- Over 40% reduction in human validation effort
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
Standard OCR failed on complex layouts. Vision-language models now automate matching, cutting validation effort by 40%.
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.
Massive models exceeded server memory. An AI factory now powers agents that write code and turn design flowcharts into specs.
Underperforming agents meant engineers rewriting prompts by hand and guessing. Now a self-correcting system reads scores and rewrites them.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
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
Standard OCR failed on complex layouts. Vision-language models now automate matching, cutting validation effort by 40%.
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.
Massive models exceeded server memory. An AI factory now powers agents that write code and turn design flowcharts into specs.
Underperforming agents meant engineers rewriting prompts by hand and guessing. Now a self-correcting system reads scores and rewrites them.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.