DevRev, an AI-native enterprise software company, today announced the newest release of Computer, by DevRev, its AI teammate for enterprise teams. The release addresses three major failures of modern enterprise AI: models lacking business memory, insights disappearing after leaving a user's screen, and AI that answers questions but cannot safely take action.
New Features in Computer
The latest version delivers speed with clarity through several key enhancements. Expanded shared memory for individuals, teams, and organizations ensures AI retains context across interactions. A new content-producing desktop app streamlines workflow, while Agent Studio enables AI agent development. Multiplayer AI capabilities allow multiple users and AI agents to collaborate effectively.
Addressing Token Maxxing
The rest of the industry has focused on selling speed—working faster, producing more outputs, increasing token use—resulting in organizations running world-class models on ineffective infrastructure. According to the Upwork Research Institute, 96% of C-suite leaders expect AI to boost worker productivity, but 77% of employees report AI has increased their workload. Focusing on metrics like speed and token volume, termed "token maxxing," without clarity distracts from progress and produces more noise.
Knowledge workers lose hours daily hunting for information across disconnected systems, and those meant to benefit from AI are left with the costs of its failures.
Shared Memory Architecture
Computer is built on a different philosophy: delivering both speed and clarity. It solves the context problem through shared memory—a curated, living picture of an organization's data, how it works, and how people interact. This architectural foundation enables:
- Precision: Answers sourced from real business data, cited and referenced so teams can stand behind them.
- Efficiency: Trusted answers at lower cost, lower token usage, no analyst required, full context on the first response.
- Safety: Nothing goes out before a human approves it, with full audit trails and the ability to undo any agent action.
When AI has this context, it stops guessing and acts like a trusted team member. Reliable performance builds trust, and trust unlocks action. This progression from trusted answers to safe actions enables multiplayer collaboration between humans and AI across every function.
CEO Perspective
"Every AI company is selling speed, which is fueling the next enterprise crisis. This will be the latest form of workplace burnout if we don't do something about it," said Dheeraj Pandey, Co-founder and CEO at DevRev. "Speed without the right context is just faster noise, noise that overloads humans in the loop, and eventually breaks them. Computer is built on a different philosophy: work softer. Give AI the enterprise memory and shared context it needs to perform reliably, and then let it take action. Only then will your people have the confidence that the AI they use is performing the tasks they need it to, more accurately and with less handholding."
