Legacy models crashed at 1M tokens. Bankers now use a single AI agent to process 100M+ token deals and build custom skills without code.
An AI-native investment bank providing full-service M&A advisory to businesses making $1 million to $20 million in annual profit, the largest but historically least served market segment.
A single deal involves over 100 million tokens of information, including buyer profiles, past transactions, and financial documents. Packing this...
“I think we're the only investment bank in the world that has more engineers than bankers. We have 5 engineers and 4 bankers right now.”
AI-powered investment bank and M&A advisory platform for small business sales.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
OffDeal's M&A deal management is part of this use case:
Related implementations across industries and use cases
Static workflows bottlenecked complex tasks. Now, Claude coordinates 8 agents to generate unique execution strategies for every query.
Dense API docs bottlenecked non-technical users. Now, Claude builds fully configured voice agents from simple plain-text requests.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Facing six-figure software costs, a non-technical revenue team used Claude Code to build workflows to automate renewal and coaching briefs.
Static spreadsheets bottlenecked approvals. Now, non-technical staff use AI to build guided, interactive workflows in minutes.
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.
Legacy models crashed at 1M tokens. Bankers now use a single AI agent to process 100M+ token deals and build custom skills without code.
An AI-native investment bank providing full-service M&A advisory to businesses making $1 million to $20 million in annual profit, the largest but historically least served market segment.
A single deal involves over 100 million tokens of information, including buyer profiles, past transactions, and financial documents. Packing this...
“I think we're the only investment bank in the world that has more engineers than bankers. We have 5 engineers and 4 bankers right now.”
AI-powered investment bank and M&A advisory platform for small business sales.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
OffDeal's M&A deal management is part of this use case:
Related implementations across industries and use cases
Static workflows bottlenecked complex tasks. Now, Claude coordinates 8 agents to generate unique execution strategies for every query.
Dense API docs bottlenecked non-technical users. Now, Claude builds fully configured voice agents from simple plain-text requests.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Facing six-figure software costs, a non-technical revenue team used Claude Code to build workflows to automate renewal and coaching briefs.
Static spreadsheets bottlenecked approvals. Now, non-technical staff use AI to build guided, interactive workflows in minutes.
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.