Every idea that went through the panel.

“The Pitch Every trade and service business is sitting on a graveyard of lost quotes. A plumber sends 200 quotes a year. Maybe 60% convert. The other 80 quotes just... disappear. No follow up, no feedback, no idea why they lost. They just move on and send more quotes. What if those 80 dead quotes were actually a goldmine? Dead Quote is an AI tool that automatically follows up on lost quotes, finds out why they were lost, and teaches the business how to win more of them — without the owner lifting a finger. For a typical trade business converting just 3 more quotes per week at an average job value of $900, that's $140k in additional revenue per year. The Problem In Detail Right now a tradie's quote process looks like this: Send quote → Wait → Hear nothing → Move on → Repeat They have no system, no data, and no feedback loop. They're flying blind on pricing, timing, and presentation — every single quote. The core issues: No follow up — most businesses give up after one chase, or don't chase at all No loss reason data — they don't know if they lost on price, speed, trust, or just bad timing No pattern recognition — even if they had feedback, they couldn't spot trends across hundreds of quotes Emotional barrier — owners hate chasing because it feels like begging How It Works Step 1 — Connect The business connects their existing quoting tool (ServiceM8, Tradify, Xero, or even just uploads a CSV). Dead Quote pulls in all sent quotes and flags which ones haven't converted within a set window (e.g. 5 days). Step 2 — Auto Follow Up For each dead quote, the system sends a personalised, human-sounding follow up via SMS or email: "Hey Sarah, just checking in on the quote we sent for your bathroom renovation. Has anything changed or is there anything we can clarify? Happy to have a chat." No pressure. No awkward sales language. Timed intelligently — not at 8am on a Monday. Step 3 — Capture Loss Reason If the customer responds that they went elsewhere, a short conversational AI exchange gently uncovers why: "No worries at all! If you don't mind me asking — was it the price, the timing, or did you just go with someone you knew?" This data gets logged automatically — no manual entry. Step 4 — Recover Warm Leads Some quotes aren't lost — they're just stalled. Customer got busy, forgot, had second thoughts. The follow up alone converts a meaningful chunk of these back without any sales effort. Step 5 — Pattern Analysis Dashboard Over time the system builds a picture: Your quotes over $2,000 have a 30% lower conversion rate — your competitors may be undercutting you at that price point Quotes sent on Friday afternoons convert 40% less — try sending Thursday morning Customers in Paddington convert at 2x the rate of customers in Logan — consider where you focus marketing This is insight a solo tradie could never generate themselves.”

Good wedge, but incumbents can copy the follow-up, only cross-customer loss data makes this defensible.

“The Idea: The "Leak Detection" Engine An automated auditing tool that connects to a company's tech stack (Stripe, HubSpot/Salesforce, and Google Analytics) to find revenue leakage caused by data silos. The Problem As companies grow, their data gets messy. Common "leaks" include: Ghost Subscriptions: Users who have canceled in the CRM but are still getting service because the API call to the backend failed. Mismatched Pricing: Legacy customers being billed old rates that don't match the current terms of service. Attribution Gaps: High-value leads that closed but aren't traced back to the original marketing spend because of a broken tracking cookie or UTM. The Solution A "set and forget" dashboard that runs daily integrity checks across these platforms. It doesn't just show charts; it sends Actionable Alerts like: "Alert: 14 users in your 'Pro Plan' are being billed $49/mo, but your current Stripe configuration is $79/mo. Click here to sync." Why It’s a "Solid" Idea Immediate ROI: If you find $500/month in leaked revenue for a client, charging them $100/month for the software is an easy "yes." High Stickiness: Once a company relies on you to ensure their billing matches their CRM, you are deeply embedded in their financial workflow. Low Competition: Most tools focus on growth (top of funnel). Very few focus on integrity (middle of funnel). Monetization Strategy Tiered Pricing: Based on the volume of transactions or the number of integrations. The "Found Money" Commission: A one-time setup fee plus a percentage of the "leaked" revenue recovered in the first 30 days.”

Useful wedge, but the buyers who feel this pain already patched it, and everyone else will ignore the leak.

“Dynamic Expiry Intelligence for Supermarkets 💡 Problem Supermarkets throw away huge volumes because they use static shelf-life rules and blunt markdown timing. Solution AI that predicts the optimal time to markdown perishables and reroute stock before expiry. Examples: chicken discounted 8 hours earlier yogurt moved to another branch strawberries repriced dynamically 1. Introduction – What Kigüi Does Kigüi is an artificial intelligence platform designed to optimize the daily operations of supermarkets and retailers by combining data analysis, automation and in-store execution. Using key inputs such as historical sales, stock levels, expiration dates and shelf images, Kigüi turns data into clear priorities, predictive alerts and concrete actions for in-store teams. 2. Why Kigüi Is Different Unlike traditional solutions that only report information, Kigüi acts as the retail copilot, prioritizing what truly matters in order to: prevent waste caused by product expiration avoid stockouts and shelf gaps ensure the correct execution of promotions free up operational time so teams can focus on strategic tasks 3. How Kigüi Works: Technology and Process A. Data Collection Kigüi automatically integrates multiple data sources: 📌 Real-time inventory and stock levels 📌 Historical sales data by SKU 📌 Expiration dates and rotation curves 📌 Shelf images and planograms This combination provides a complete and accurate view of each product and store. B. AI and Machine Learning Analysis The platform uses AI algorithms to: ✅ Detect demand patterns and expiration risk ✅ Estimate the probability of stockouts by SKU ✅ Identify gaps in shelf execution ✅ Prioritize actions with real business impact All of this is translated into predictive alerts and clear recommendations for in-store teams. C. In-Store Execution Kigüi doesn’t just inform — it guides daily action. The app and control panel provide: 🟢 Daily checklists and missions for store teams 🟢 Real-time alerts on operational priorities 🟢 Task completion verification 🟢 Price, label and expiration control 🟢 Photo evidence and activity tracking This turns daily work into a sequence of clear, measurable tasks. 4. What Kigüi Delivers A. Expiration-Driven Waste Reduction By anticipating products at risk of expiring and suggesting actions such as relabeling or promotions, Kigüi significantly reduces food waste. B. Stock Optimization Thanks to demand prediction and inventory monitoring: ✔ Fewer out-of-stock situations ✔ Reduced excess inventory on shelves ✔ Improved availability of strategic products C. Effective Promotion Execution Campaigns and offers are activated on time and properly executed — not just on paper, but with verified in-store evidence. D. Greater Operational Efficiency Automating repetitive tasks frees up time for higher-value activities such as customer service, quality control and sales strategies. 5. Proven Results A concrete example: in its implementation with Cordiez in Córdoba, Kigüi achieved: 📊 Up to 40% reduction in expiration-related waste 📊 More than 20% reduction in operational work associated with in-store controls These results translate into real savings and a better experience for store teams. Do I need to replace my current systems? No. Kigüi easily integrates with and complements your existing systems. 6. Summary of Benefits (for Retailers) With Kigüi: Daily operations shift from reactive to predictive Store teams know exactly what to do and when Stock and expiration visibility is instant Decisions are made using real-time, reliable data Value is generated from the very first weeks of use 7. Who Uses Kigüi Kigüi is designed for supermarkets and retailers of all sizes — from mid-sized to large — looking to: ✅ Reduce food waste ✅ Improve product rotation ✅ Optimize in-store operations ✅ Increase team efficiency ✅ Drive sustainable results 8. Ready to Transform Your Store with AI? Kigüi is the copilot your operation needs. Request a demo and discover how to improve results and reduce costs in just a few weeks.”

“I’ve spent the last few years running ops teams at companies like Delivery Hero and Bolt. Got frustrated enough with the available tools on the market to just build something myself. It’s called OpsBites (www.opsbites.com). Basic idea: ops managers/pms/solo founders and their teams work in the same workspace. Weekly planning with a lock mechanic, task/project hierarchy, decision log, SOPs, RACI. Built around a weekly rhythm rather than just being another task manager. Still early but I have been using it with my current team at my full-time job. Looking for feedback from anyone who’s managed an ops team or worked in one. I am curious what’s broken, what’s missing, what sounds useless. As a thank you for anyone who takes 5 minutes to give real feedback, I’ll DM you the gsheets bundle I used with my own teams before building this. Templates for prioritization, decision making, weekly ops reviews. Nothing fancy, but it worked.”

Strong founder insight, but weekly planning is a weak wedge unless ops teams pay before your own team’s habits flatter you.

“A company that runs free live online author talks for public libraries. Libraries pay a few thousand for a years worth of around 50 authors. Library users pay nothing. The reason libraries pay is because authors charge a fee to come in that can be thousands of dollars. most state library orgs don't have this program. I just had 20 more libraries reach out to me from my website. I already know a bunch of authors because I am an author agent. Libraries don't get talks subsidized, and they definetly don't get access to 3 talks per month. They can also run watch parties at their library. I have 20 libraries who are ready. And previous work I did with libraries shows they don't churn easily.”

Promising wedge, but library procurement will humble your momentum long before author supply becomes the bottleneck.

“SaaS web app. A Qur'an memorization tool for people who memorize Qur'an but don't speak Arabic and feel bad because they don't understand what they're memorizing. The tool makes people learn ten ayahs at a time. They See ten ayahs in arabic, and they have access to the translation of the passage, and the tafsir of each ayah from different tafsir books all in english. From there, after they've memorized, they check a box to say they've memorized the passage, and then they type what the wisdom and application they've learned is, and how they've applied it in their life if applicable, then they can move on to the next ten ayahs they want to learn. There are some progress statistics and it's meant to be a slow process.”

You're building Jawhar minus spaced repetition plus a journal — that's a feature, not a company, unless the journal becomes the product.

“What Tovira is A WhatsApp assistant for UAE solo real estate agents. No app, no CRM, no dashboard. What Tovira solves UAE solo agents lose deals to forgotten follow-ups, not competitors. They work in WhatsApp between viewings — CRMs that require a laptop don't fit how they actually work, so they get abandoned within 60 days. What Tovira does Captures leads from forwarded Bayut/Property Finder/WhatsApp messages — extracts name, phone, budget, requirements automatically Transcribes voice notes after viewings in English/Arabic/Hindi/Urdu/Tagalog Tracks promises made in conversations ("I'll send the brochure Friday") and reminds you before you forget Reminds you about confirmed viewings on a 4hr / 1hr / 10min ladder Alerts you when leads go cold (24hr for VIPs, 48hr for hot leads, 5 days for standard) Answers pipeline questions in plain English ("who's hot in Marina under 5M", "what did Sarah say last week") Matches new listings to leads in your pipeline automatically Generates a daily morning briefing of what needs your attention”

AIREA OS already ships 80% of this in your exact market — your survival depends on whether Hindi/Tagalog transcription is a wedge or a feature request they'll fill in 90 days.

“The Startup Video Press Release Builder an interactive , AI assisted SaaS platform empowers founders to instantly transform complex startup stories into articles for traditional and social media, audio jingles for radio and podcast advertising, narrated videos like taking business cards or product sales sheets, press releases and more without needing any editing expertise. Designed for rapid distribution, it streamlines the creation of shareable video assets that capture attention and drive media coverage more effectively than traditional text-only announcements.”

You're building a feature bundle competing against The PR Builder's distribution moat and Elai.io's video quality — with zero distribution of your own.

“sales activity tracker that gives points for all sales related activites, CRM only tracks the big stuff but the small stuff matters too, points for cold calls, points for demos, points for sales, all goes on a team leaderboard to drive competition”

TrackScore already ships your exact product; you're bringing a leaderboard to a leaderboard fight.

“An app that suggests rewrites to a given resume to better match a given job description. It then automatically applies them, so users have an apply-ready, tailored resume in less than a minute.”

You're rebuilding Ajusta without knowing Ajusta exists, and your only differentiation — auto-apply — is a feature they'll ship in a quarter.

“A microSaaS that connects to a fintech or financial company’s database/API and detects unusual patterns: abnormal amounts, unusual frequency, suspicious locations, or sudden behavior changes.”

You're selling a smoke detector to a building that already has a sprinkler system, a fire department, and a moat full of water.

“狗狗美容师散步，美容师上门服务”

Convenient idea, but without a clear buyer or wedge, you're just bundling two services crowded markets already offer.

“SaaS web app. A Qur'an memorization tool for people who memorize Qur'an but don't speak Arabic and feel bad because they don't understand what they're memorizing. The tool makes people learn ten ayahs at a time. They See ten ayahs in arabic, and they have access to the translation of the passage, and the tafsir of each ayah from different tafsir books all in english. From there, after they've memorized, they check a box to say they've memorized the passage, and then they type what the wisdom and application they've learned is, and how they've applied it in their life if applicable, then they can move on to the next ten ayahs they want to learn. There are some progress statistics and it's meant to be a slow process.”

Real pain, but free incumbents already own the habit, so charge only if reflection becomes the product.

“🚀 The One-Sentence Pitch "We are building ChronoDE, a high-performance web analytics platform that turns raw competitive telemetry files into interactive, visual timelines for data-dense prosumer markets." 📊 The Core Metrics The Problem: 150,000 active, highly competitive monthly users treat their craft like digital chess, yet the existing analytics tools are either slow, ugly data tables, or heavy desktop software. There is a glaring product gap for a modern, instant, local-first web interface. The Product: A Next.js/SvelteKit + TypeScript web app. Users drag and drop their structured telemetry files (.aoe2record), and the site instantly renders an interactive canvas map of their performance metrics, economy curves, and pacing bottlenecks. The Growth Loop (The Traffic Mandate): Total viral distribution. Every processed match file generates a unique, beautifully visual share link. When users go to Reddit or Discord to seek performance advice, they will drop our links, transforming the core community into an active, organic marketing engine. The Monetization Path: * Free Tier: Basic timeline parsing to aggressively capture market share. Pro Tier ($6/mo): Unlocks expert benchmark overlays and automated anomaly detection (e.g., automated tracking of exact seconds of infrastructure idle time). Team Tier ($12/mo): Syncs multiple users' files for complex group performance tracking. Year 1 Goal: Capture 10% of the active market (15,000 MAU) and convert a conservative 2% to paid subscriptions, targeting a stable, self-sustaining $4,000 – $6,000 MRR by Month 12 at a ~95% gross profit margin.”

Beautiful replay UX, but free tools own the habit, and prettier charts alone rarely turn gamers into paying subscribers.

“Project Whisper One Sentence An AI that continuously watches your digital environment and provides context-aware assistance before you ask for help. The Problem Today's AI workflow is broken. Current flow: Work ↓ Get stuck ↓ Open ChatGPT ↓ Explain context ↓ Ask question ↓ Get answer ↓ Return to work This introduces friction every time. The AI knows nothing until you tell it. Core Insight Humans don't want an AI chatbot. They want: An AI teammate that already knows what's happening. The moment you have to explain context, the magic is gone. Version 1 The software: Sees your screen Knows what application you're using Knows what document you're viewing Knows what meeting you're in Knows what conversation is occurring Without prompting: You work ↓ AI observes ↓ AI understands context ↓ AI suggests useful actions Example 1: Software Engineer User is coding. AI notices: React TypeScript Stripe API Authentication bug Without asking: Possible null pointer here. Stripe webhook verification missing. This API endpoint is vulnerable to replay attacks. Example 2: Construction PM User is in a subcontractor meeting. Conversation: Steel delayed 3 weeks. AI immediately shows: Potential schedule impact: - Foundation unaffected - Structural start delayed - Critical path risk detected Suggested mitigation: - Re-sequence electrical rough-in Example 3: Student Watching a calculus lecture. AI notices: Taylor Series Overlay appears: Remember: e^x sin(x) cos(x) Taylor expansions are commonly tested. Real Product Most people think the product is: Screen recording + Voice recording + ChatGPT Wrong. That's easy. The real product is: Context Engine The difficult problem: What is happening right now? not What is the answer? Actual System Architecture Screen Audio Keyboard Calendar Email Files Browser CRM Documents Codebase ↓ Context Builder ↓ User State Model ↓ Reasoning Engine ↓ Suggestions Actions Automation The Bigger Vision Version 1: AI gives advice Version 2: AI prepares work Version 3: AI performs work Version 4: Human supervises AI executes What Investors Would Actually Hear Not: "An interview cheating tool." Instead: "We're building a real-time context layer for human knowledge work." That's a much larger market. Because the same engine can be applied to: Sales Engineering Construction Medicine Law Education Customer support Finance The actual billion-dollar idea The screen-watching isn't the innovation. The AI isn't the innovation. The innovation is: Building a continuously updated model of what the user is doing, thinking, and trying to accomplish right now. That's the hard problem. If solved well, it becomes a universal copilot for every knowledge worker on Earth.”

“An offline first restaurant POS(local backend so really local first and data online)data only in europe, no bundle with many useless feature, user choose payment solution...(they can use Qonto, UPI whatever they want) the software has to seemlesy integrate not replace no need to buy expensive TPE they can choose to use their smartphone with Qonto for intance, not vendor lock certified sotware to access the french market with competitive price (15euro)”

Real wedge, brutal economics, France will punish €15 pricing before your offline-first moat gets a chance.

“An offline first restaurant POS(local backend so really local first and data online)data only in europe, no bundle with many useless feature, user choose payment solution...(they can use Qonto, UPI whatever they want) the software has to seemlesy integrate not replace no need to buy expensive TPE they can choose to use their smartphone with Qonto for intance, not vendor lock certified sotware to access the french market with competitive price (15euro)”

Strong product instinct, fatal buyer choice, broke new restaurants will love the price and churn before your moat matters.

“An offline first restaurant POS(local backend so really local first and data online)data only in europe, no bundle with many useless feature, user choose payment solution ect..., not vendor lock certified sotware to access the french market with competitive price (15euro)”

Commodity POS, no wedge yet, certification is table stakes and incumbents already sell offline-first for roughly your price.

“An offline first restaurant POS(local backend so really local first and data online)data only in europe, certified sotware to access the french market with competitive price (15euro)”

Real pain, weak wedge, €15 won't beat entrenched POS distribution.

“DispaLoadIQ is the AI-powered dispatch platform built for Owner-Operators, Small Fleets, and Independent Carriers. Find top-paying loads, optimize routes, and manage your operation — all from one dashboard.”

Real pain, but undefined buyer and brutal switching costs make this dispatch dream easier to pitch than survive.

“Quote-to-Invoice SaaS is actually one of the better startup ideas because it’s: * Easy to understand * Businesses already spend money on it * Recurring usage * Can start very small * Has clear expansion paths The Problem Many small businesses still: 1. Create a quote in Word/Excel. 2. Email it. 3. Wait for approval. 4. Recreate everything as an invoice. 5. Manually track payment. It’s repetitive and error-prone. MVP (Version 1) Keep it extremely simple: Quotes * Create quote * Customer details * Line items * Taxes * PDF generation Customer Approval * Send link * Customer clicks Approve or Reject * Timestamp stored Invoice Conversion One click: Quote → Invoice Everything copies automatically. Dashboard * Draft * Sent * Approved * Invoiced * Paid Pricing * Free: 5 quotes/month * Starter: $9/month * Pro: $19/month * Business: $49/month Future Upsells Once you get customers: Phase 2 * Payment links * Stripe integration * Auto reminders Phase 3 * Inventory * Purchase orders * Expenses Phase 4 * Full accounting platform This is exactly how companies like Xero, QuickBooks, and FreshBooks expanded. The Real Opportunity Don’t market it as: “Quote and Invoice Software” Market it as: “Turn approved quotes into invoices in one click.” That’s a specific pain point. Technical Build For your stack: * Next.js * Supabase * PostgreSQL * Multi-tenant architecture * PDF generation * Email notifications You could have an MVP in a few weeks. The Risk The market is crowded. To win, you need a niche first. Examples: * Construction quotes * IT services quotes * Web agencies * Digital marketing agencies * Freelancers * Tradespeople A niche product is much easier to sell than a generic quote/invoice system.”

Crowded market, generic wedge. Win only if you own a niche's approval workflow, not quote-to-invoice itself.

“Lucid is a dating platform built around radical algorithm transparency, where users can see and understand the same social and matchmaking signals normally hidden by traditional dating apps. Instead of opaque matching systems, Lucid openly displays metrics such as profile rating, swipe ratios, match quality, attraction trends, compatibility movement, and how user actions affect their standing in real time. The system functions similarly to an Elo-style ranking model, where every interaction dynamically changes visibility, desirability, and placement within the network. Users can see how many people viewed, liked, skipped, or matched with them, how selective they are compared to others, and how their profile evolves over time based on behavior and engagement. The core mechanic transforms dating from a hidden recommendation engine into a visible social market where perception, status, attraction, and compatibility are quantified transparently, creating a highly interactive feedback loop that encourages optimization, curiosity, competition, and self-awareness while still facilitating real romantic connections.”

Sharp insight, toxic product, turning dating into a visible leaderboard makes rejection feel worse, not fairer.

“Pitch: Clipperia.app – Inteligencia Artificial para la Economía de la Atención ​El Problema: El cuello de botella en la creación de contenido ​En el ecosistema actual de redes sociales, el contenido corto (Shorts, Reels, TikTok) es el rey indiscutible para la adquisición de usuarios. Sin embargo, para los creadores, streamers y agencias, convertir horas de video en clips virales de alta calidad es una tarea manual, lenta y costosa. Se pierde demasiado tiempo buscando los momentos de mayor impacto, editando y adaptando formatos, lo que limita la capacidad de los creadores para escalar su presencia digital. ​Nuestra Solución: Clipperia.app ​Clipperia.app es una plataforma de automatización de video impulsada por IA que transforma contenido extenso en clips listos para redes sociales en cuestión de segundos. No solo recortamos video; entendemos el contexto. ​Detección de Momentos Virales: Nuestra IA analiza automáticamente el contenido largo para identificar los clics, los puntos de tensión y los momentos con mayor potencial de engagement. ​Formateo Inteligente: Adaptación automática a formatos verticales (9:16) con reencuadre inteligente, garantizando que el protagonista siempre esté en el centro. ​Automatización de Flujo: Diseñado para la velocidad. Permite a los creadores pasar de una transmisión de horas a una librería de clips virales sin intervención manual masiva. ​Escalabilidad: Una herramienta que permite a un solo creador producir contenido como si fuera un equipo de edición completo. ​Oportunidad de Mercado ​La "Creator Economy" no para de crecer y la demanda de contenido de video corto es infinita. Clipperia ataca directamente el dolor del tiempo: el activo más valioso de cualquier creador. Nos posicionamos en el centro de la necesidad de cualquier marca personal o canal de contenido que necesite presencia multiplataforma constante. ​Modelo de Negocio y Visión ​Operamos bajo un modelo SaaS con una ventaja competitiva clara: la automatización total del proceso creativo. Nuestro objetivo es ser la capa de infraestructura que sostiene la estrategia de video de los creadores de contenido, permitiéndoles publicar más, mejor y sin fricción operativa.”

Buen wedge en LATAM, but without a clear buyer, you're entering a crowded clip factory with no unfair advantage.

“AI compliance SaaS for companies using AI tools. We help businesses comply with EU AI Act (Article 4 AI literacy — already in force since Feb 2025), GDPR-for-AI, and US AI regulations (NIST AI RMF, CCPA). The problem: Every company using ChatGPT, Copilot, or any AI tool on customer data has live GDPR exposure right now. EU AI Act Article 4 (AI literacy obligation) has been in force since February 2025 — most companies have zero documentation. Enterprise clients are starting to ask for AI governance proof before signing contracts. The Aug 2026 deadline for high-risk AI (Annex III — fintech credit scoring, HR screening, healthcare AI) is 15 months away. What we do: AI Inventory — companies register all AI tools they use, with guided risk classification under EU AI Act tiers (minimal/limited/high/unacceptable risk) and NIST AI RMF categories Compliance Document Generation — one-click generation of AI Usage Policy, Technical Documentation, GDPR DPIA, Transparency Notice, Conformity Declaration. All version-controlled. Team Governance — send policies to employees, collect timestamped digital acknowledgements. Proof of Article 4 AI literacy compliance. Audit trail. Shadow AI Detection — browser extension that detects which AI tools employees are actually using (including ones not in the inventory). Flags GDPR risk in real time. Audit Reports — one-click PDF compliance reports, board-ready, exportable for enterprise due diligence or regulatory audit. Compliance Score — live score tracking across EU AI Act and NIST AI RMF frameworks. arget: B2B, 10-250 employee companies in EU (primary) and US (secondary) that are actively using AI tools and need to prove governance — either for regulatory reasons or because enterprise clients are asking. Likely buyers: compliance officers, legal/privacy teams, CTOs at scale-ups. What we're NOT: We don't cover GPAI model rules (that's for companies building foundation models like OpenAI/Mistral, not users). We don't do deep Annex III conformity assessments for medical devices or critical infrastructure — that's a consulting engagement.”

Novel wedge, but without proving shadow AI detection drives contract wins, this gets crushed by incumbent compliance suites.

“AI compliance SaaS for companies. We help businesses comply with EU AI Act, GDPR-for-AI, and US AI regulations (NIST AI RMF). Companies add their AI tools, we auto-classify risk, generate required compliance documents (AI Usage Policy, Technical Documentation, GDPR DPIA), send policies to employees for signed acknowledgements, detect shadow AI via browser extension, and produce audit-ready PDF reports.”

Sharp wedge, blurry buyer, too early for urgency unless the browser extension proves shadow AI pain now.