Coworker.ai Launches OM2: A Revolutionary Organizational Memory Layer
Coworker.ai (see details) is introducing OM2, an innovative organizational memory layer designed to significantly reduce enterprise AI token burn by up to 9x.
What is OM2?
OM2 is a unified system that ingests data from over 50 enterprise platforms and transforms it into precomputed, permission-aware facts. This approach allows AI to reuse structured intelligence across sessions, resulting in a 9x reduction in token spend and 64% faster response times.
The Current Enterprise AI Problem
Traditional enterprise AI systems struggle with context, often requiring employees to provide context for every query. This process is both costly and inefficient, consuming over 50% of enterprise AI token budgets.
How OM2 Works
Instead of relying on document-level retrieval, OM2 extracts discrete, precomputed facts from company data, including:
- Who was involved
- Decisions made
- Accounts impacted
This structured intelligence is computed once and reused, eliminating the need to rebuild context for every prompt.
Benefits of OM2
- Reduced Token Spend: 9x reduction in token expenditure.
- Faster Response Times: 64% faster than traditional systems.
- Improved User Experience: 84.5% of users receive answers they prefer.
- Cost Savings: Potential for 51x cost reduction.
- Data Sovereignty: Companies retain control over their data and knowledge.
Breaking Vendor Lock-In
OM2 promotes data sovereignty by allowing companies to use their existing AI models and tools, such as Claude, ChatGPT, Gemini, and Perplexity, without locking them into a single vendor’s ecosystem.
Words from the CEO
"Token costs are exploding, and most AI still doesn’t understand how to be effective inside a real company," said Alex Calder, Co-Founder and CEO of Coworker.ai. "OM2 continuously learns and understands your business while enforcing strict permissions at every node."