Beacon
Turn 12-month compliance workflows into weeks with AI agents
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 (Voyage AI + Pinecone).
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
1 Comment
This might be random and unrelated to your post but I couldn't not tell you because this one thing is so important for your software that I need you to know. I was currently on your software's homepage Beacon which is an absolute treasure value which got my curiosity to check your headline which says "From AI Innovation to Regulatory Approval. Automated.". This currently describes what your tool does but doesn't clearly communicate why your users should use it, it's just that seeing you put so much effort into building something that I clearly see it's value being misunderstood like that because of that information gap made me want to tell you right away, I actually even solved the problem for you and prepared for you what to write, if you have X or Linkedin drop your social link here so I can send it to you in DMs because I don't want others here in public seeing this, or just find my social links on my profile and DM me right away, I wish you good luck with your tool Deaksh.