Trade data was buried in messy chat logs. GenAI now mines the text for pricing, turning raw noise into new revenue streams.
The data and analytics division of a global financial infrastructure provider, serving investment banks, hedge funds, and trading houses with multi-asset class data from opaque markets.
Valuable market insights were locked in unstructured sources like trading desk chat logs, making them impossible to package into commercial products...
“We can focus on the business and let the technology handle the infrastructure. If the volume of incoming data increases, the serverless technology stack scales automatically to handle it.”
OTC market data, indices, and analytics for global capital markets.
Cloud computing platform and on-demand infrastructure services.
Parameta Solutions's Financial data extraction is part of this use case:
Related implementations across industries and use cases
Clients waited days for manual API provisioning. Now, their enterprise AI agents directly query 400M business records instantly.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
Manually extracting data from PDFs took 4 hours per loan, delaying approvals for weeks. Now, in-country AI securely structures the data.
Manually extracting data from PDFs took 4 hours per loan, delaying approvals for weeks. Now, in-country AI securely structures the data.
500+ regex rules struggled with messy text. AI agents expanded coverage 20x, cutting processing from 24 hours to one.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Trade data was buried in messy chat logs. GenAI now mines the text for pricing, turning raw noise into new revenue streams.
The data and analytics division of a global financial infrastructure provider, serving investment banks, hedge funds, and trading houses with multi-asset class data from opaque markets.
Valuable market insights were locked in unstructured sources like trading desk chat logs, making them impossible to package into commercial products...
“We can focus on the business and let the technology handle the infrastructure. If the volume of incoming data increases, the serverless technology stack scales automatically to handle it.”
OTC market data, indices, and analytics for global capital markets.
Cloud computing platform and on-demand infrastructure services.
Parameta Solutions's Financial data extraction is part of this use case:
Related implementations across industries and use cases
Clients waited days for manual API provisioning. Now, their enterprise AI agents directly query 400M business records instantly.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
Manually extracting data from PDFs took 4 hours per loan, delaying approvals for weeks. Now, in-country AI securely structures the data.
Manually extracting data from PDFs took 4 hours per loan, delaying approvals for weeks. Now, in-country AI securely structures the data.
500+ regex rules struggled with messy text. AI agents expanded coverage 20x, cutting processing from 24 hours to one.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.