# Faradex

> For the full text of every public marketing page concatenated for ingestion, see [llms-full.txt](https://faradex.ai/llms-full.txt).

> Faradex is a private, agentic AI workforce platform for professional services firms — law, accounting, finance, and other regulated industries. Each customer gets a dedicated, single-tenant instance running on AWS Bedrock with zero data retention, RAM-only processing, and a full teardown every 24 hours. Each project within a customer's account also runs on its own isolated AWS instance, with separate compute, network, and encryption. Teams collaborate with AI agents in shared workspaces while keeping client data architecturally inaccessible to Faradex staff, AI providers, and third parties.

Faradex is built by Faraday Collective Inc. on the founding principle that **access to AI without a record of what you asked is a fundamental human right**. Every architecture decision — single-tenant compute, per-project isolation, no logs, no backups, SSH disabled, daily instance rebuilds, AWS Bedrock zero-retention inference — flows from that principle. The legal corollary, central to the firm's positioning: you cannot subpoena what does not exist, and you cannot preserve what was never written to disk.

The product differs from three adjacent categories. Consumer AI (ChatGPT, Copilot, Claude) is multi-tenant and retains conversations. Agentic desktop tools (Claude Code, Claude Cowork) reach into local filesystems and route prompts through provider infrastructure. Vertical AI (Harvey, CoCounsel) uses proprietary narrow models on shared infrastructure. Faradex pairs frontier models — currently Claude Opus 4.7 — with a proprietary multi-agent orchestration layer inside isolated AWS infrastructure, so teams get state-of-the-art reasoning with no exposure to AI provider data handling.

## Core pages

- [Landing — Your Private AI Vault](https://faradex.ai/): Product overview, three-step onboarding (create instance, invite team, deploy agents), and a competitive matrix against vertical AI, consumer AI, and agentic desktop tools. Best entry point for understanding what Faradex is.
- [About — Private AI is a Human Right](https://faradex.ai/articles/private-ai-human-right): Founding philosophy. Argues that recorded AI conversations chill human thought, cites recent case law (federal seizure ruling Feb. 2026; OpenAI deletion-preservation order late 2025), and frames Faradex's architecture as a civil-liberties response, not a compliance checkbox.
- [AI Workforce — Agentic AI](https://faradex.ai/agentic-ai): Distinguishes autocomplete tools (you drive, AI assists) from true agents (you direct, agents execute). Covers parallel multi-agent execution, frontier-model access without proprietary lock-in, and Faradex's orchestration layer that runs dozens of agents simultaneously across any subject area.
- [Team Collaboration](https://faradex.ai/teamwork): How shared project workspaces, mixed human-and-agent conversations, and per-project isolation (separate AWS instances per project, not logical partitions) let teams work with AI together without context fragmentation or cross-engagement data leakage.
- [Security](https://faradex.ai/security): The four security pillars (single-tenant instance, AWS Bedrock zero-retention, no logs/backups/SSH, RAM-only with 24-hour teardown), the threat model behind them (desktop agent exfiltration, AI provider breaches), and documented incidents motivating the architecture.

## Legal & regulatory analysis

- [Your AI Conversations Are Discoverable](https://faradex.ai/articles/legal-profession-and-ai): Citation-backed legal analysis for law firms. Walks through *U.S. v. Heppner* (S.D.N.Y. Feb. 2026, first federal ruling that AI conversations are not privileged), the *NYT v. Microsoft* preservation order (May 2025) and 20-million-log production order (Jan. 2026), and the CLOUD Act's reach over U.S.-subject providers. Explains why enterprise AI tools narrow but do not close privilege exposure, and why Faradex's RAM-only architecture makes compliance with a production demand a factual impossibility rather than a policy choice.

## Press coverage

- [In the News](https://faradex.ai/news): Curated list of reporting and coverage that shapes why a private AI vault matters — federal discovery rulings on AI conversations, court-ordered preservation of deleted ChatGPT logs, breaches and credential leaks at major AI providers, regulator guidance on AI under HIPAA and attorney-client privilege, and enterprise incidents (Samsung source-code leak, Copilot permission-inheritance exposure, AI-browser credential-stealing attacks). Each entry links to the original source.

## Key facts

- **Company:** Faraday Collective Inc.
- **Infrastructure:** AWS only; all inference via AWS Bedrock under zero-data-retention agreements. No data leaves the USA.
- **Isolation model:** dedicated, single-tenant AWS instance per customer. Each project within a customer account also runs on its own isolated AWS instance.
- **Current frontier model:** Claude Opus 4.7. Frontier-model access updates as new models ship — no proprietary lock-in.
- **Compliance:** SOC 2 Type I attested. SOC 2 Type II targeted Q3 2026. Security properties described are structural (architectural), not feature flags pending certification.
- **Target customers:** law firms, accounting firms, investment funds, and other professional services teams under attorney-client privilege, HIPAA, SOC 2, PCI-DSS, or fiduciary obligations.
- **Posture on legal demands:** Faradex is a U.S.-subject company and can be subpoenaed. The architecture is designed so compliance with a production demand for substantive content is a factual impossibility — that content exists only in RAM during active processing.

## Canonical phrases

- "You cannot subpoena what does not exist. You cannot preserve what was never stored."
- "Same world-class reasoning. None of the exposure."
- "Nothing-at-rest architecture. No database to breach, no files to steal, no backups to subpoena."