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KA

Krama AI

Krama AI records user actions across macOS applications in real time and uses on‑device AI to classify steps, spot inefficiencies, and create shareable skill files that encode best‑practice workflows. The platform gives operations leaders privacy‑first insights and playbooks to standardize processes and accelerate onboarding without sending raw data to the cloud.

San Francisco, United States1100+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Teams often lack visibility into the actual steps employees take across multiple applications, leading to hidden bottlenecks, inconsistent onboarding, and reliance on external tools that expose sensitive workflow data to the cloud.

Solution

Krama AI captures real‑time activity across the applications used in a team’s workflow and processes the data on the user’s device. On‑device AI agents classify each action, identify inefficiencies, and generate shareable skill files that codify best‑practice sequences. The platform provides actionable insights and playbooks that help operations leaders standardize processes and accelerate new‑hire onboarding without transmitting raw data to external servers. By keeping analysis local, Krama maintains data privacy while delivering recommendations that streamline repetitive tasks and reduce cycle time.

Target Audience

Primary customers are operations leaders seeking to visualize and standardize team processes, and new hires who need data‑driven onboarding resources, particularly in enterprises with strict data‑privacy requirements.

Features

  • Automatic, background capture of user actions across any macOS application without requiring manual logging
  • On‑device AI classification of intent, steps taken, and time spent to surface workflow bottlenecks
  • Generation of reusable skill files and playbooks that encode top‑performer patterns for easy sharing and onboarding
  • Comparative analysis that highlights redundant checks or suboptimal step ordering and suggests concrete optimizations
  • Privacy‑first architecture that stores all raw recordings and analysis locally unless the user explicitly shares them
  • Integration with existing macOS tools, enabling insights without additional third‑party software or cloud dependencies
This profile is AI-generated and may contain inaccuracies.