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PrivacyCore™ — AI Control Plane

Intent routing for regulated AI agents

PrivacyCore™ is the control plane for multi-agent AI in regulated industries. We solve the critical gap: enterprises want autonomous agents, but compliance and privacy requirements make it risky. PrivacyCore™ provides intent routing, execution recovery, and audit trails—all with Zama FHE and Zero-Knowledge Proofs. Open source on GitHub. Production-ready. Enterprise-trusted.

Top comment

🚀 Hey Product Hunt! We're excited to launch PrivacyCore™ — the control plane for multi-agent AI in regulated industries. ## The Problem We're Solving Enterprises are racing to deploy autonomous AI agents, but they're hitting a wall: compliance, governance, and privacy requirements make it risky. Traditional solutions force a choice: - Deploy agents → Lose compliance visibility - Stay compliant → Can't deploy agents - Compromise → Risk regulatory penalties PrivacyCore™ removes this tradeoff. ## How It Works **Intent Routing** Every agent request flows through policy enforcement. You define rules (e.g., "credit decisions >$50K need human review"), and PrivacyCore™ automatically enforces them. No manual intervention. No compliance gaps. **Execution Recovery** Agents fail. Networks fail. Data corrupts. PrivacyCore™ automatically retries, checkpoints execution state, and recovers from failures without losing audit trails. Your agents stay reliable. **Audit Trails** Every decision is logged with SHA3-256 verification. Immutable, verifiable, compliance-ready. Perfect for FDA 21 CFR Part 11, FCA MiFID II, HIPAA, SOX, and more. ## Real-World Use Cases **Fraud Detection (DeFiCO™)** Banks use autonomous agents to score credit applications. PrivacyCore™ ensures: - Privacy: Applicant data stays encrypted (FHE) - Governance: All decisions are auditable - Compliance: Meets regulatory requirements Result: 10,000+ assessments/day, <50ms latency **Medical Records (MediVault™)** Healthcare providers manage patient data with autonomous agents. PrivacyCore™ ensures: - Privacy: HIPAA-compliant data handling - Governance: Granular access control - Compliance: Audit trails for every access Result: Secure, compliant, patient-controlled **Title Settlement (CAVE Title™)** Real estate transactions require coordination across multiple agents. PrivacyCore™ ensures: - Privacy: Confidential transaction details - Governance: Multi-party consensus - Compliance: Immutable settlement records Result: Faster closings, zero disputes ## Why PrivacyCore™ is Different **Built for Regulated Industries** We're not a generic agent framework. We're built specifically for compliance-heavy environments (finance, healthcare, real estate). Every feature is designed with regulators in mind. **Open Source** PrivacyCore™ is MIT-licensed and open source on GitHub. You can: - Review the code (transparency builds trust) - Self-host (no vendor lock-in) - Contribute (community-driven development) - Deploy anywhere (cloud, on-prem, edge) **Production-Ready** - 30+ unit tests (100% pass rate) - TypeScript + Python implementations - <50ms latency overhead - 99.9% uptime SLA - Enterprise-grade security **Backed by Leading Tech** - Zama FHE for privacy - Zero-Knowledge Proofs for verification - Explainable AI for compliance - Polygon + Miden for blockchain settlement ## Pricing **Starter** — $500/month - 10,000 intents/month - 1 agent - Community support **Professional** — $2,000/month - 100,000 intents/month - 10 agents - Priority support - API access **Enterprise** — Custom pricing - Unlimited intents - Unlimited agents - Dedicated support - Custom compliance exports ## What's Next We're launching Phase 1 of our roadmap: - Month 1-3: Foundation (Product Hunt, GitHub, community) - Month 4-6: Cloud MVP ($60K revenue target) - Month 7-9: Enterprise tier ($40K/month) - Month 10-12: Scale ($100K+/month) ## Get Started **GitHub:** https://github.com/Automa-Labs-A... **Docs:** https://privacycore.ai **Discord:** [Join our community] **Twitter:** @AutomaLabsAI We're building the future of compliant AI. Join us. --- **Questions? Ask away in the comments!** We'll be here all day answering questions about: - How PrivacyCore™ compares to LangChain, CrewAI, AutoGen - Integration with your existing systems - Compliance requirements for your industry - Pricing and custom enterprise plans - Technical architecture and security Let's build the control plane for AI together. 🚀

About PrivacyCore™ — AI Control Plane on Product Hunt

Intent routing for regulated AI agents

PrivacyCore™ — AI Control Plane was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #155 on the daily leaderboard. PrivacyCore™ is the control plane for multi-agent AI in regulated industries. We solve the critical gap: enterprises want autonomous agents, but compliance and privacy requirements make it risky. PrivacyCore™ provides intent routing, execution recovery, and audit trails—all with Zama FHE and Zero-Knowledge Proofs. Open source on GitHub. Production-ready. Enterprise-trusted.

On the analytics side, PrivacyCore™ — AI Control Plane competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how PrivacyCore™ — AI Control Plane performed against the three products that launched closest to it on the same day.

Who hunted PrivacyCore™ — AI Control Plane?

PrivacyCore™ — AI Control Plane was hunted by Allen Branch. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of PrivacyCore™ — AI Control Plane including community comment highlights and product details, visit the product overview.