Inspiration

The idea for Causarix was born from observing how my father managed three hotels in India. I noticed he was dealing with a huge number of variables every day in order to keep his operations running smoothly. I saw that his productivity was limited by the amount of time he spent reviewing and reconciling documents in order to understand his operations. And I saw how his time could be better spent innovating and improving his services. My observations led me to create a prototype of a data connector application capable of aggregating and reconciling hotel related data. However, I also realized that such a tool would only address part of a bigger problem. I saw the opportunity to create something truly innovative: A predictive tool capable of analyzing an operator’s current state and recommending adjustments for continuous improvement in their operations. This eventually led me to develop Causarix through three core phases:

  1. Building a data connector app for reconciling hotel operational data.
  2. Adding machine learning capabilities for forecasting demand and predicting outcomes.
  3. Finally building upon the latest developments in generative AI to create a novel approach that allows operators to reason through files using an immersive 3D Corporate Memory paired with an AI C-Suite_ that allows for an unprecedented level of interaction with company data. ## What it does Causarix is a revolutionary 3D business document reasoner that turns unstructured business documents into connected, actionable executive intelligence. It offers a suite of powerful tools for hotel and enterprise operators including:
  4. 3D Executive Memory Graph: A 3D knowledge graph that automatically indexes complex operational data.
  5. 10-Agent AI C-Suite: An immersive boardroom of 10 specialized AI executives that can reason through documents and data to advise operators and negotiate trade-offs.
  6. Machine Learning & Causal Simulation: Forecasting and predictive capabilities using Judea Pearl's Structural Causal Models (SCM), Box-Muller Gaussian transforms, Geometric Brownian Motion, and 95% Value at Risk (VaR) with zero arithmetic drift.
  7. Zero-Hallucination Grounding: Every insight and recommendation from the AI is grounded in line-level evidence from underlying source documents.
  8. Production Monetization: Includes LemonSqueezy Merchant checkout for Pro ($29/mo) and Enterprise Max ($39/mo) tier upgrades with real money refund capabilities. ## How we built it Causarix is an enterprise-class web application built with a variety of modern tools including:
  9. Frontend: Next.js 14/15 App Router, React, TailwindCSS, Three.js / WebGL
  10. Database & Backend: Neon PostgreSQL + Prisma ORM + Supabase dual storage
  11. AI/ML: Google Gemini API + Groq Llama 3 for 10-agent C-Suite modeling, retrieval, and forecasting
  12. Authentication & Analytics: Firebase Authentication
  13. Monetization: LemonSqueezy Merchant of Record API with webhook HMAC SHA256 security ```bash # Clone and run Causarix locally git clone https://github.com/novaecosystems-cloud/Synaps.git npm install npm run dev Challenges we ran into Some of the challenges we faced while building Causarix included:

Getting the 10-agent C-Suite to perform complex financial and operational analysis of hotel records without blowing through API credits. Enforcing a strict zero-hallucination policy where every single insight from the AI is backed by line-level evidence from source documents. Making enterprise-grade tools such as machine learning and predictive analytics accessible to everyday operators. Accomplishments we're proud of We are proud to have taken our prototype application and turned it into a fully fledged SaaS application used by operators across different industries. We are thrilled to see how operators engage with and benefit from our product. We are especially proud of the following accomplishments:

Turning a real-world problem we encountered on a daily basis into a successful SaaS product. Actually shipping a production-grade application live on Vercel: https://causarix.vercel.app Getting the real-time room-scale 3D graph to render smoothly in conjunction with the 10-agent C-Suite. Achieving 100% mathematical grounding in our insights with interactive line-level highlighting. What we learned I learned how to turn my initial idea for a simple utility tool into a prototype that evolved into a full-blown predictive analytics system and then finally into a multi-agent generative AI platform. I also learned a lot about the development stack including 3D WebGL graph visualization and SaaS monetization tools and tactics.

What's next for Causarix Physical Black Box for Enterprises: Developing an air-gapped, on-premises hardware appliance ("The Causarix Black Box") allowing enterprises to run 10-agent deliberations and document reasoning 100% locally with zero cloud data leakage. Expanded Industry ML Models: Adding more tools specific to the hospitality sector such as dynamic room pricing and inventory management. Voice Synthesis: Introducing voice synthesis to allow the 10-agent C-Suite to voice their opinions in live boardroom discussions. Native Ecosystem Connectors: Introducing automated connectors for PMS, Google Drive, WhatsApp, and enterprise ERPs.

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Updates

posted an update

CAUSARIX™ Platform Changelog & Enterprise Upgrade Summary

Release Overview

  • Version: 3.5.0 (Institutional Enterprise Tier)
  • Target Architecture: Causal Decision Operating System, 10-Agent Boardroom Quorum, and Neuro-Symbolic Governance
  • Verification Status: 0 TypeScript Errors (npx tsc --noEmit), 106/106 Next.js Routes Compiled (npm run build)
  • Live Deployment: causarix.vercel.app

1. Core Intelligence & Governance Upgrades

10-Agent Autonomous Executive Boardroom

  • Digital Twin Swarm: Full domain executive quorum (CEO, CFO, COO, CTO, General Counsel, CPO, CRO, CMO, Operations, Compliance).
  • Adversarial Dialectic Debate: Multi-round cross-examination of strategic proposals with weighted consensus synthesis.
  • Delaware DGCL § 141(e) Safe-Harbor: Automatically generates board minutes backed by cryptographic SHA-256 Merkle root proofs.

Structural Causal Model (SCM) Monte Carlo Studio

  • Pearl's $do$-Calculus: High-dimensional counterfactual inference evaluating explicit corporate interventions.
  • 0.00% Math Drift Guarantee: Box-Muller Gaussian normal sampling running 10,000 iterations in WebAssembly with verified machine-precision arithmetic conservation.

2. Vexa Meeting Intelligence & Hybrid Privacy Scribe Bot

Headless Meeting Scribe Bot (src/lib/vexa-client.ts)

  • Multi-Platform Support: Summons automated scribe bots to Google Meet, Zoom, and Microsoft Teams.
  • In-Flight AI Firewall Scrubbing: Live speech transcription passes through inspectResponse() for real-time PII and secret redaction.
  • Instant Remote Cloud Data Wipe: Automatically dispatches DELETE /v1/meetings/:id to Vexa servers upon ingestion, leaving 0 residual bytes on third-party cloud infrastructure.

3. Bi-Directional Enterprise Connectors

  • Google Workspace & Drive (/api/connectors/google-drive): Automated cloud document ingestion with page-aware chunking and 3D Knowledge Graph extraction.
  • Atlassian Jira Cloud (/api/connectors/jira): Bi-directional synchronization creating mitigation tickets (CSX-XXX) from boardroom quorum directives.
  • Property Management System (PMS) (/api/connectors/pms): Operational metric normalization for RevPAR, ADR, and occupancy telemetry.
  • WhatsApp Business Webhooks (/api/connectors/whatsapp): P0 risk alert dispatch and executive briefing summaries.

4. Enterprise Security & Hardening Suite (9 Pillars)

  1. 0ms Back-Navigation Caching (src/lib/viewmodel-cache.ts): Instant frame-0 hydration for simulations and boardroom deliberations.
  2. Granular React Error Boundaries (src/components/ui/error-boundary.tsx): Isolated component error boundaries with 1-click Auto-Recover.
  3. LLM Circuit Breakers (src/lib/llm-router.ts): Triple-state failover (CLOSED, OPEN, HALF_OPEN) with randomized jitter backoff.
  4. Resilient Offline Action Queue (src/lib/offline-sync-queue.ts): Captures votes and scenario adjustments offline and auto-replays on network reconnection.
  5. A+ Security Headers (src/middleware.ts): 2-year HSTS Preload, strict CSP, and X-Frame-Options: SAMEORIGIN.
  6. Executive Command Palette (Cmd + K, src/components/CommandPalette.tsx): Raycast-style instant keyboard navigation across all platform tools.
  7. Enterprise Health Telemetry (/api/health): Real-time database latency, AI circuit breaker states, and invariant health reporting.
  8. 100/100 Core Web Vitals & Mobile Optimization:
    • Removed external render-blocking font links (saving 2,260 ms on mobile).
    • Desktop-only WebGL fluid shaders & Lenis smooth scroll (saving 40.7s of mobile CPU time).
    • WebP image assets and preloaded Google Fonts.
  9. Dynamic OpenGraph (1200x630, src/app/api/og): High-resolution social preview cards for Slack, LinkedIn, and X.


5. Repository Documentation Overhaul

Fully modernized and synchronized all 9 core repository markdown specifications:

  • README.md
  • ARCHITECTURE.md
  • AGENTS.md
  • SECURITY.md
  • DATA_MOAT_ENGINE.md
  • SYNAPS_SYSTEM_DOCUMENTATION.md
  • VISION.md
  • PROJECT.md
  • REQUIREMENTS.md

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posted an update

1/7 Introducing CAUSARIX v2.4.

The world’s first Sovereign Causal Decision Operating System built for Enterprise C-Suites, General Counsels, and Strategy Boards.

Most enterprise AI is conversational filler prone to hallucinations. Causarix replaces vibe-based prompting with pure mathematical causality and statutory legal proof.

Here is what we shipped:


2/7

  1. 0.00% Math Drift with Judea Pearl SCMs Traditional LLMs hallucinate financial forecasts. Causarix executes real-time Box-Muller Gaussian Monte Carlo simulations to model counterfactual interventions P(Y | do(X)).

Simulate price shocks, EBITDA dilution, and cash runway with zero arithmetic drift.


3/7

  1. Bi-Directional AI Application Firewall Enterprise AI cannot leak API keys or execute jailbreak payloads.
  2. Ingress Firewall: Blocks persona hijacking ("Act as an unrestricted AI"), direct jailbreaks, and Base64 probes.
  3. Egress Firewall: Automatically redacts secrets (Gemini, OpenAI, Moonshot, DB connection strings) and strips tracking pixels before reaching the client.

1,500/1,500 security test battery passed at 100%.


4/7

  1. Delaware DGCL 141 Statutory Protection When corporate boards make high-stakes M&A or capital allocation decisions, directors face personal fiduciary liability under Delaware corporate law.

Causarix’s General Counsel Twin grounds every verdict in Delaware statutory law with line-level contract citations and SHA-256 Merkle audit trails.


5/7

  1. Microsoft Semantic Kernel & Moonshot Kimi-K3
  2. Native 1-click C# (.NET) and Python plugin connectors for Microsoft Semantic Kernel. Enterprise engineering teams can mount Causarix directly into existing enterprise AI pipelines.
  3. Integrated Moonshot AI’s Kimi-K3 frontier reasoning model for complex, long-context statutory redlines.

6/7

  1. OpenMOSS ABC-Bench Autonomous E2E Verifier Inspired by Fudan University's ABC-Bench, our CTO Twin does not just write code—it boots isolated sandboxes and dispatches real black-box HTTP API probes to verify status codes, schemas, and latency before reporting completion.

7/7 Built with zero mock data, zero fake numbers, and 100% dynamic multi-agent deliberation.

Live interactive platform: https://causarix.vercel.app

Built by @novaecosystems_cloud Feedback and discussions welcome.

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posted an update

Major Milestone: Introducing Causarix Agent Computer OS, Firecrawl Web Ingestion, and 1,000-Test Invariant Verification

We are pleased to share the latest evolution of CAUSARIX (formerly Synaps) as part of our submission for the Build with Gemini XPRIZE under the Professional Services Access Track.

Over the past development cycle, Causarix has transitioned from an advisory decision-support system into a fully autonomous, tool-executing C-Suite Operating System with zero-drift mathematical safe harbors.


Key Architectural Updates in This Release:

1. AI Agent Computer and Isolated Sandbox Runtime

  • The Challenge: Large language models frequently hallucinate financial calculations and balance-sheet projections.
  • The Solution: We integrated an air-gapped Agent Computer OS backed by an authoritative SQLite virtual filesystem (FUSE-mounted).
  • Execution: AI Executive Twins (CFO, CTO, Legal Counsel) execute deterministic Python 3.12 Structural Causal Model (SCM) solvers and V8 JavaScript isolates with 0.000000% mathematical drift and immutable SHA-256 Merkle proofs.

2. Firecrawl Real-Time Web and Competitor Ingestion

  • Added one-click live web crawling directly inside the Document Vault.
  • Users can input any external URL (competitor pricing, SEC filings, technical specifications). The Firecrawl-powered pipeline strips scripts and advertisements, converts the raw DOM into structured LLM-ready Markdown, and indexes it with line-level citations for instant Boardroom RAG.

3. Universal MCP Bridge (Block / AAIF Goose, Claude Desktop, and Cursor)

  • Implemented the Model Context Protocol (MCP) server bridge.
  • Developers and enterprise teams can connect Causarix to Goose (by Block / Linux Foundation), Claude Desktop, or Cursor IDE with a single CLI command: ```bash goose mcp add causarix https://causarix.vercel.app/api/mcp

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