Toolspool.ai

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Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K
Phrase
Paid
👁 779K/mo
👁 21K/mo
1.7K
Glean
✓ verifiedFreemium

Enterprise work-AI platform for knowledge discovery and automation.

👁 3.2M/mo
Pricing

No public pricing

Starter: 135
Team: 1,045
Business: Custom
Enterprise: Custom
DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month

No public pricing

No public pricing

Core features
  • Fast tensor operations
  • Differentiable tensors for gradient-based optimization
  • Network connectivity
  • Integration with Bun and Flashlight
  • Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
  • AI-powered translation
  • Translation management system (TMS)
  • Software localization
  • Translation portal
  • Intelligent automation
  • Actionable analytics
  • Integration with various tools
  • Developer-first platform for AI-powered integrations
  • Secure, isolated sandboxes for running JavaScript/Python code
  • Automatic management of npm/PyPI dependencies
  • Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
  • Yep Agent (prompt → runnable processes)
  • MCP Server/Tools (convert code into AI agent tools)
  • Serverless runtime (YepCode Run) and SDK access
  • Work AI Platform
  • Glean Assistant (AI assistant)
  • Glean Agents (AI agent builder)
  • Glean Search (Enterprise search)
  • Connectors (Data integration)
  • Data & AI Governance
  • Security
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Automating multilingual content delivery
  • Localizing software and applications
  • Managing translation workflows
  • Improving customer satisfaction in new regions
  • Ensuring brand consistency across languages
  • Building complex API integrations that require custom code and logic beyond what no-code tools offer.
  • Safely running AI-generated scripts in isolated environments with secrets management.
  • Automating workflows that require large datasets, loops, branching, or custom dependencies.
  • Connecting AI agents to external databases, APIs, and services using MCP tools.
  • Finding information across various company apps
  • Creating and summarizing content
  • Automating repetitive tasks and workflows
  • Onboarding new employees and projects
  • Improving customer service with quick access to knowledge
  • Enhancing engineering productivity
  • Streamlining sales processes
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