Training and proposals bottlenecked teams. Secure AI assistants now cut development time by 50% and writing tasks by 90%.
A global data analytics and AI consultancy with over 1,200 employees helping leading businesses solve strategic challenges.
Coding tasks required days of manual effort, while developing new training programs took over two months to complete. The firm needed to accelerate...
“Clients partner with us to turn data into decisions that matter. For over two decades, we've used AI to extract real value from data. When generative AI emerged, we recognized it would completely reshape how businesses operate and make decisions. That's why we've embedded AI into every role at Quantium. It's not a separate initiative; it's how we work. This hands-on experience means we're not theorizing about AI with our clients – we're sharing practical insights from our own transformation.”
Data science and AI analytics for retail, FMCG, and financial sectors.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Quantium's Workforce productivity is part of this use case:
Related implementations across industries and use cases
Consultants took months to deploy. AI paths now ready them in weeks, while agents draft code with 73% accuracy.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
Manual interview notes and routine contract checks bottlenecked teams. Now, staff use AI to summarize meetings and pre-check contracts.
Manual interview notes and routine contract checks bottlenecked teams. Now, staff use AI to summarize meetings and pre-check contracts.
HR queries wound through a patchwork of disconnected systems and a separate help desk. One Copilot agent replaced the whole stack.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Training and proposals bottlenecked teams. Secure AI assistants now cut development time by 50% and writing tasks by 90%.
A global data analytics and AI consultancy with over 1,200 employees helping leading businesses solve strategic challenges.
Coding tasks required days of manual effort, while developing new training programs took over two months to complete. The firm needed to accelerate...
“Clients partner with us to turn data into decisions that matter. For over two decades, we've used AI to extract real value from data. When generative AI emerged, we recognized it would completely reshape how businesses operate and make decisions. That's why we've embedded AI into every role at Quantium. It's not a separate initiative; it's how we work. This hands-on experience means we're not theorizing about AI with our clients – we're sharing practical insights from our own transformation.”
Data science and AI analytics for retail, FMCG, and financial sectors.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Quantium's Workforce productivity is part of this use case:
Related implementations across industries and use cases
Consultants took months to deploy. AI paths now ready them in weeks, while agents draft code with 73% accuracy.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
Manual interview notes and routine contract checks bottlenecked teams. Now, staff use AI to summarize meetings and pre-check contracts.
Manual interview notes and routine contract checks bottlenecked teams. Now, staff use AI to summarize meetings and pre-check contracts.
HR queries wound through a patchwork of disconnected systems and a separate help desk. One Copilot agent replaced the whole stack.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.