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
One BD person, 3–10 leads daily, days behind on research. Clients moved on. A plugin now scores fit, creates deals, and posts to Slack.
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.
Eight siloed tools consumed hours of prep before every founder meeting. Now context surfaces in minutes — investors walk in already deep.
Facing six-figure software costs, a non-technical revenue team used Claude Code to build workflows to automate renewal and coaching briefs.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
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
One BD person, 3–10 leads daily, days behind on research. Clients moved on. A plugin now scores fit, creates deals, and posts to Slack.
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.
Eight siloed tools consumed hours of prep before every founder meeting. Now context surfaces in minutes — investors walk in already deep.
Facing six-figure software costs, a non-technical revenue team used Claude Code to build workflows to automate renewal and coaching briefs.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.