About This Site
Enterprise AI agent platform for cross-functional automation and model routing. Coworker AI is an enterprise AI agent platform designed to streamline corporate workflows across various departments. It allows users to chat, cowork, and code by automatically routing tasks to the most suitable open-source or closed AI model based on cost, latency, and quality. The platform integrates seamlessly with over 50 enterprise tools (such as Salesforce, Slack, Jira, and Notion), utilizes deep company context without training on data, and operates in a secure, US-hosted environment. It helps businesses reduce frontier API costs by up to 82% while multiplying token capacity.
Alternatives
Coval
Coval: AI agent simulation and evaluation platform for faster, reliable development.
Coval is a simulation and evaluation platform designed to help developers build reliable voice and chat agents faster. It offers tools to create custom metrics, run thousands of scenarios, trace workflows, and integrate with CI/CD pipelines for actionable insights and peak agent performance. Coval allows users to test, monitor, and optimize their AI agents at scale, simulating conversations with customizable voices and environments. It also provides features for monitoring production calls, defining alerts, and analyzing performance to optimize AI agents.
Record 3.0
AI-powered platform automating customer support and QA for B2B SaaS with end-to-end testing.
Record is a Customer Support layer built for B2B SaaS that automates the resolution process using AI. Records collect, visualize, investigate, and provide insights on user sessions and logs while creating one source of truth for collaboration. Record also offers a QA AI agent as a service, which is a fully automated agent that creates and maintains optimal end-to-end tests to prevent potential failures, promising end-to-end coverage within 1 week.
Termo
AI agents with virtual machines, persistent memory, and scheduled autonomous automation capabilities.
Termo is a platform for creating and managing autonomous AI agents that run on their own dedicated virtual machines. Unlike standard chatbots, Termo agents possess persistent semantic memory, allowing them to build knowledge over time rather than starting from scratch. They are equipped with capabilities like web browsing, code execution, and scheduled automation (cron jobs), enabling them to perform tasks autonomously even when the user is offline. The platform supports multi-agent orchestration where a manager agent can delegate tasks to specialized sub-agents, and it integrates with the OpenClaw registry to provide access to over 10,000 specialized skills.
Key Features AI
Core Features
Intelligent routing across open and closed frontier AI models
Portable context layer (OM2 knowledge graph) learning from all data sources
Build engine for on-demand dashboards, models, decks, and apps
Cloud Sandbox for repo-aware coding and execution
Plain-English, no-code automated agent builder with scheduled triggers
Over 50 read-and-write native tool connectors maintaining existing permissions
Meeting notetaker with live transcription, summaries, and CRM syncing
Advantages
Saves up to 82% compared to standard frontier API spending
No vendor lock-in with automatic routing to newly shipped models
Deeply connected to company context via a shared knowledge graph
Strong enterprise compliance with SOC 2 Type II, GDPR, and CASA Tier 2 certifications
Native integrations inherit existing organization permissions without new SSO mapping
缺点:Credit allotment caps typical monthly usage unless overage fees are paid
缺点:Lower tiers are restricted to fewer tool connectors (only 5 on Free Trial, 10 on Pro)
缺点:Data polling frequency for automated triggers is delayed up to 12 hours on lower plans
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