Your Code Shouldn't Train Someone Else's Model

Software developers paste proprietary code into cloud AI every day. On-premises AI gives you unlimited coding assistance — code completion, review, debugging — without exposing your intellectual property to US cloud providers.

The Claude Code Tax Is Just the Beginning

Claude Code Max costs $200/month per seat. GitHub Copilot Enterprise is $39/user/month. Cursor Pro is $20/user/month. For a 20-person dev team, that's $48K–$48K/year — and you're sending your proprietary code to external servers every time you tab-complete. Open-source models like DeepSeek V4 and Qwen 3 now match or exceed proprietary models on coding benchmarks, and they run on hardware you own.

$48K/yr
Cloud AI cost for a 20-person dev team using Claude Code Max
0
Lines of proprietary code sent to external servers with Faraday
75%
Cost reduction versus equivalent cloud AI subscriptions

Code Privacy and Developer Productivity

IP Protection

Every code snippet you send to cloud AI could train models your competitors use. On-premises means your proprietary algorithms, trade secrets, and business logic stay yours.

Unlimited Inference

No per-token charges, no rate limits, no usage caps. Your devs can run as many queries as they need — code completion, review, debugging, refactoring — without watching a meter.

SOC 2 & Compliance

On-premises AI eliminates the data processing addendum negotiation. No third-party sub-processor to audit — data stays in your infrastructure.

Frontier Open-Source Models

Run DeepSeek V4, Qwen 3, and Llama 4 — models that match or beat GPT-5.4 on coding benchmarks — on hardware you own, with no vendor lock-in.

Top 10 Ways Faraday Helps Software Developers

  1. Code Completion & Generation — AI-assisted coding that never sends your proprietary codebase to a cloud provider
  2. Code Review Automation — Catch bugs, security issues, and style violations privately — no third-party sees your PRs
  3. Debugging Assistance — Paste stack traces and code context freely — no data leaves your network
  4. Documentation Generation — Generate READMEs, API docs, and inline comments from your private codebase
  5. Test Generation — Write unit, integration, and property-based tests with unlimited inference at zero marginal cost
  6. Refactoring Suggestions — Modernize legacy code with AI-assisted refactoring — no one else sees your tech debt
  7. Architecture Decision Records — Draft ADRs with AI assistance, keeping trade-off discussions internal
  8. Security Audit Support — Identify vulnerabilities in your codebase without exposing it to external services
  9. Multi-Language Development — Translate between programming languages and frameworks without cloud API costs
  10. Fixed Dev Team Costs — One hardware purchase for unlimited AI — no per-seat or per-token charges

On-Premises vs. Cloud AI for Developers

Cloud AI for Developers

  • Proprietary code sent to external servers for every completion
  • Per-seat pricing ($200/mo for Claude Code Max, $39/mo for Copilot Enterprise)
  • Rate limits and usage caps throttle your team at peak hours
  • Your code may train models available to competitors
  • Vendor lock-in deepens with every integration

Faraday On-Premises

  • Code never leaves your building — zero IP leakage
  • Unlimited inference for the entire team — no per-seat charges
  • No rate limits — your hardware, your throughput
  • No data training — your code stays yours
  • $9,999 / $19,999 / $29,999 US — hardware + 12 months service

Stop Sending Your Code to the Cloud

On-premises AI for code completion, review, and debugging. Private, unlimited, and 75% cheaper than cloud alternatives.

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