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Beacon
Turn 12-month compliance workflows into weeks with AI agents
Beacon = agent-first regulatory compliance. AI agents execute compliance work autonomously, not assist humans. Two modules: - AI Compliance: Classify AI systems (EU AI Act), map obligations, generate workflows. 2 min vs 2 weeks. - Biopharma: Automate IND prep - data QC (21 CFR Part 11), CMC generation. 6 weeks vs 3-4 months. Agent infrastructure, not AI features. Content-addressed storage (SHA256) = tamper-proof. Self-improving accuracy. SAP Startup Studio validated. Seeking design partners.
Hey Product Hunt! 👋
I'm Deakshanth, founder of Beacon. After 9 months building solo with AI agents, I'm excited to share what we've built.
The Problem:
AI can design therapeutics in 48 hours. Proving regulatory compliance takes 12-18 months. This bottleneck is killing innovation.
Enterprises face the same issue: EU AI Act enforces Aug 2, 2026 (10 weeks away). Manual compliance = spreadsheets, consultants, months of work.
What We Built:
Beacon = AI agents that execute compliance workflows end-to-end, not assist humans.
AI Compliance Module:
- Agents classify AI systems under EU AI Act (prohibited/high-risk/limited/minimal)
- Map to specific obligations (Articles 9-15)
- Generate compliance workflows + audit documentation
- Result: 2 minutes vs 2 weeks with consultants
Biopharma Module:
- Agents automate IND submission prep for biotechs
- Regulatory intelligence: sequence → ICH/FDA requirements
- Analytical data QC: HPLC/MS validation (21 CFR Part 11 compliant)
- CMC generation: ICH M4Q submission format
- Result: 6 weeks vs 3-4 months manual
What Makes Us Different:
1. Agent-first, not AI-assisted
We're not compliance software with AI features. We're agent infrastructure. The agents execute workflows autonomously.
2. Data integrity moat
Content-addressed storage (SHA256 hashing) = cryptographically tamper-proof. Regulators trust this more than PDFs. No competitor has this for biopharma analytical data.
3. Self-improving accuracy
User corrections → training data → model fine-tuning. Accuracy compounds 5-10% quarterly. After 2 years: 90%+ vs competitors' 60-70%.
4. Platform economics
70% shared codebase between modules. One infrastructure, two markets. Build once, sell twice.
Current Stage:
- Working MVP (both modules functional)
- SAP Startup Studio 2026 validation (Top 100 of 700+ AI startups)
- 15+ pilot conversations
- Pre-revenue, seeking design partners
Try It:
Free readiness assessments:
- EU AI Act: beaconone.net/eu-ai-act-readiness
- IND Readiness: beaconone.net/ind-readiness
Looking For:
1. Design partners - Enterprise compliance teams, biotech companies preparing INDs
2. Feedback - What compliance workflows should agents tackle next?
3. Co-founder - Seeking regulatory/domain expert (ex-FDA, pharma CMC, EU compliance)
Tech Stack:
Built with Claude Sonnet 4.6 API (agentic workflows), Claude Code (development), LangChain (orchestration), RAG pipeline (huggingface AI + pgvector).
1,500+ hours building with AI agents. This is agent-native architecture from day one.
Questions I'd Love to Answer:
- How do agents handle ambiguous regulations?
- What happens when regulations change?
- How do you ensure data integrity?
- Why dual-module vs single focus?
- How do you compete with OneTrust/Vanta?
Happy to share demos, architecture deep-dives, or GTM strategy.
Thanks for checking us out! 🚀
---
Deakshanth
Founder, Beacon
beaconone.net | [email protected] | linkedin.com/in/rgshetty/
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About Beacon on Product Hunt
“Turn 12-month compliance workflows into weeks with AI agents”
Beacon was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #62 on the daily leaderboard. Beacon = agent-first regulatory compliance. AI agents execute compliance work autonomously, not assist humans. Two modules: - AI Compliance: Classify AI systems (EU AI Act), map obligations, generate workflows. 2 min vs 2 weeks. - Biopharma: Automate IND prep - data QC (21 CFR Part 11), CMC generation. 6 weeks vs 3-4 months. Agent infrastructure, not AI features. Content-addressed storage (SHA256) = tamper-proof. Self-improving accuracy. SAP Startup Studio validated. Seeking design partners.
Beacon was featured in SaaS (42.5k followers) and Artificial Intelligence (471.1k followers) on Product Hunt. Together, these topics include over 146.3k products, making this a competitive space to launch in.
Who hunted Beacon?
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