Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
A global asset manager with over $1.6 trillion under management, serving Financial Professionals across more than 150 countries through mutual funds, ETFs, digital assets, and alternative investments.
A team of just seven analysts manually authored research notes for the firm's distribution teams, limiting coverage to 200 products and leaving...
“Agent Bricks lets us scale reliable, compliant fund analysis. What would take days now takes seconds, and we trust that every insight is grounded in our data and business logic.”
Global investment management firm for individual and institutional investors.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Franklin Templeton's Fund analysis is part of this use case:
Related implementations across industries and use cases
500+ regex rules struggled with messy text. AI agents expanded coverage 20x, cutting processing from 24 hours to one.
Manually parsing thousands of documents slowed analysts. Now, a custom AI research engine synthesizes traceable market insights in hours.
AI was restricted to tech teams. By embedding governance, 20k staff now build agents that cut legal reviews from 4 hours to 1.
Manually parsing thousands of documents slowed analysts. Now, a custom AI research engine synthesizes traceable market insights in hours.
Analysts were capped at 15 companies. AI agents cut alpha discovery from 12 months to two and generate reports 60% faster.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Engineers capped at basic chat, complex work out of reach. Now 700 tackle cross-jurisdiction compliance reviews in hours, not weeks.
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.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
A global asset manager with over $1.6 trillion under management, serving Financial Professionals across more than 150 countries through mutual funds, ETFs, digital assets, and alternative investments.
A team of just seven analysts manually authored research notes for the firm's distribution teams, limiting coverage to 200 products and leaving...
“Agent Bricks lets us scale reliable, compliant fund analysis. What would take days now takes seconds, and we trust that every insight is grounded in our data and business logic.”
Global investment management firm for individual and institutional investors.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Franklin Templeton's Fund analysis is part of this use case:
Related implementations across industries and use cases
500+ regex rules struggled with messy text. AI agents expanded coverage 20x, cutting processing from 24 hours to one.
Manually parsing thousands of documents slowed analysts. Now, a custom AI research engine synthesizes traceable market insights in hours.
AI was restricted to tech teams. By embedding governance, 20k staff now build agents that cut legal reviews from 4 hours to 1.
Manually parsing thousands of documents slowed analysts. Now, a custom AI research engine synthesizes traceable market insights in hours.
Analysts were capped at 15 companies. AI agents cut alpha discovery from 12 months to two and generate reports 60% faster.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Engineers capped at basic chat, complex work out of reach. Now 700 tackle cross-jurisdiction compliance reviews in hours, not weeks.
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.