🤓 Latest Submissions
SenoNav AI
A breast cancer diagnosis is only the beginning of a difficult journey. Patients and families are often left with fragmented pathology, imaging and prescription records, unclear biomarker results, missing staging information, and no reliable way to understand which specialist or hospital capabilities they need next. SenoNav AI transforms those scattered records into an evidence-linked Care Passport. It separates confirmed findings from missing, unclear or conflicting information, preserves document and page-level evidence, generates a referral-readiness indicator, maps the capabilities required from the next multidisciplinary care team, and matches hospitals transparently by verified services rather than claiming that any doctor or centre is “the best.” The system is designed for cross-border care journeys, beginning with a Bangladeshi patient preparing for a second opinion in India. It supports patients, families and navigators with plain-language summaries, questions to ask clinicians, document checklists and a downloadable handoff package. SenoNav does not diagnose cancer, prescribe treatment or replace clinicians. Its human-in-the-loop safety layer keeps every recommendation educational, explainable and reviewable. The core inference pipeline was successfully validated on an AMD Instinct MI300X using ROCm, vLLM and Qwen2.5-7B-Instruct. The public demo uses an OpenAI-compatible live endpoint while preserving the same modular architecture for AMD-hosted deployment.
13 Jul 2026
Sentinel Web-Risk Intelligence Platform
Modern enterprises rely on thousands of global vendors, yet existing risk tools depend on stale audits and self-reported data. By the time a vendor failure is detected, catastrophic operational damage has already occurred. Sentinel Web-Risk Intelligence Platform solves this with a Zero-Trust Autonomous Investigation Architecture driven by real-time voice telemetry. Instead of manual lookups, analysts trigger end-to-end deep dives hands-free. Using a client-side Speechmatics streaming engine, the platform instantly ingests, scrubs, and translates conversational audio commands into target queries with sub-100ms latency. Upon voice activation, Sentinel unleashes six specialized CrewAI agents that autonomously cross-examine the live open web using Bright Data infrastructure. First, the Recon Agent fires targeted search queries through the Bright Data SERP API. Next, the Scraping Agent extracts data from JS-heavy portals and CAPTCHA-shielded filings using the Scraping Browser and Web Unlocker, routing traffic dynamically through Bright Data's premium Global Proxy Network to bypass geo-blocks and scan restricted regional registries. Then, the Verification Agent filters out noise by assigning strict credibility scores to every harvested text source. Following this, the Intelligence Agent synthesizes verified signals across five critical corporate dimensions: Financial, Operational, Legal, Reputational, and Cybersecurity. The Prediction Agent then models an accurate 90-day disruption probability timeline using machine learning patterns. Finally, the Reporting Agent compiles these analytics into a structured, C-suite ready intelligence dossier. The final output delivers a dynamic 0–100 risk score, predictive forecasting models, and clear remediation paths. This telemetry streams instantly through an automated WebSocket dashboard by flawlessly unifying Speechmatics voice routing with Bright Data's unblockable scraping pipelines.
31 May 2026
Vanguard Milano
The Logistics Blindspot The Milan-Genoa-Turin corridor moves €2.3 trillion of freight annually. However, legacy systems demand 4-8 hour manual response times when transport strikes occur, hemorrhaging an estimated €850M per disruption event. By the time human operators react, backup capacity is already gone. Traditional workflows are fundamentally broken. The Autonomous Resolution Loop Vanguard Milano replaces reactive human intervention with autonomous intelligence, resolving logistics crises in seconds rather than hours. Our engine operates on a three-step autonomous loop with zero required human intervention: Multi-Modal Manifest Scanning: We use advanced AI Vision to instantly extract data from raw cargo PDFs, automatically flagging high-value or temperature-sensitive goods for priority handling. Live Threat Detection: The system actively scans real-time ANSA and BBC RSS feeds to detect port closures and strikes before they impact operations. AI Agent Orchestration: Powered by Gemini 2.5 Flash, the agent calculates optimal path corrections to bypass blocked hubs in real-time. X402 Settlement Engine: Vanguard embeds stablecoin payments directly into HTTP requests. It triggers instant USDC settlement on-chain (completing in 90 seconds) to secure emergency logistics capacity, eliminating 30-day payment cycles. Enterprise-Grade Infrastructure To ensure ultra-low latency execution, Vanguard Milano's containerized Docker ecosystem is fully deployed on Vultr Enterprise Cloud Compute VMs.
19 May 2026
