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Tabnine AI
✓ verifiedPaid
Enterprise-focused AI coding assistant offering code completion, in-IDE chat and agentic workflows with strict code privacy controls.
Pricing
Unlocker API: Starts from $1.05/1k req
Crawl API: Starts from $1.05/1k req
SERP API: Starts from $1.05/1k req
Browser API: Starts from $5.88/GB
Scrapers: Starts from $300/mo
Datasets: Starts from $250/mo
Functions: Starts from $2.7/1k req
RetailInsights: Starts from $1,000/mo
Residential Proxies: Starts from $3.53/GB
Datacenter Proxies: Starts from $0.9/IP
ISP Proxies: Starts from $1.3/IP
Mobile Proxies: Starts from $5.88/GB
Custom Scraper: Starts from $300/mo
AI Coding Platform: $39 per user per month (annual subscription)
No public pricing
No public pricing
No public pricing
Core features
- ✦Multi-engine support (Google, Duckduckgo, Bing, Yandex, Baidu)
- ✦Real-time structured SERP data
- ✦Pay-per-successful-request pricing
- ✦Full JavaScript support
- ✦Precise geo-location targeting
- ✦Structured data delivery in JSON or HTML
- ✦AI code completion for single and multi-line suggestions
- ✦In-IDE chat supporting the full software development lifecycle
- ✦Agentic workflows and a CLI for terminal-based AI coding
- ✦Enterprise Context Engine for org-specific codebase understanding
- ✦Zero code retention and no training on customer code
- ✦Flexible deployment: SaaS, VPC, on-prem or air-gapped
- ✦Governance controls, SSO, and centralized usage analytics
- ✦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)
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- ✦Visual bug reporting
- ✦AI-powered customer support (Kai)
- ✦Public roadmaps
- ✦Knowledge base
- ✦Surveys
- ✦Marketing automation
- ✦Live chat
- ✦Custom chatbots
Use cases
- →Organic keyword tracking
- →Brand protection
- →Price comparison
- →Market research
- →Detect copyright infringements
- →Ad intelligence
- →Enterprise engineering teams needing private, compliant AI coding tools
- →Developers wanting AI chat and completions inside their existing IDE
- →Organizations with legacy or mixed tech stacks requiring context-aware suggestions
- →Security-sensitive teams requiring air-gapped AI deployment
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
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- →Fix bugs faster with visual feedback.
- →Improve customer satisfaction with AI-powered support.
- →Manage feature requests and let users vote on suggestions.
- →Drive customer engagement with targeted outreach.
- →Create custom chatbots for sales, marketing, and support.
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