Tabnine vs MainFunc
A detailed side-by-side comparison to help you choose the right AI coding agent for your needs.
Best for privacy and enterprise security
Tabnine
Tabnine stands apart with its uncompromising 'no-train, no-retain' privacy policy, making it the top choice for regulated industries and security-conscious organizations. The platform offers flexible ...
AI Models
Private fine-tuned modelsProprietary Tabnine models
Key Features
- No-train, no-retain privacy policy guarantees
- On-premise, VPC, and air-gapped deployment options
- Private models fine-tuned on your codebase only
- Permissive-license-only training data for legal safety
- GDPR compliant for European data protection
Pricing
Dev Preview — $0/month
Pro — $12/user/month
Enterprise — $39/user/month
Pros
- Unmatched privacy with no data retention
- Flexible deployment for any security requirement
- Custom models learn your team's specific patterns
Cons
- Enterprise features require custom pricing
- Smaller model selection compared to cloud-first competitors
Best platform for building and deploying custom enterprise AI agents
MainFunc
MainFunc is an AI platform for building, deploying, and managing custom enterprise agents that automate complex business workflows requiring code generation, system integration, and multi-step reasoni...
AI Models
GPT-4oClaude Opus 4.6Claude Sonnet 4Gemini 1.5 ProCustom fine-tuned models
Key Features
- Visual agent builder with reusable action blocks for business logic
- Managed execution layer handling orchestration, retries, and error recovery
- Sandboxed code execution environment for agents writing and running code
- Real-time execution traces and token usage analytics per workflow
- Multi-model support with per-step model selection
Pricing
Developer — Contact for pricing
Team — Contact for pricing
Enterprise — Custom pricing
Pros
- Production-grade execution layer removes infrastructure burden from engineering teams
- Visual builder accelerates agent development without sacrificing customization
- Per-step model selection optimizes cost and capability across complex workflows
Cons
- Best suited for engineering teams; requires technical configuration for complex agents
- Pricing requires sales engagement with no fully self-serve tier