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EventFlow – Parallel AI Vendor Negotiation
EventFlow automates the procurement of event vendors in Pakistan's $50 billion wedding industry, which lacks structured tools. In this market, deals are typically negotiated via phone calls and WhatsApp, with no APIs, no pricing data, and no way to compare offers. To use EventFlow, customers input their total budget, specify event categories, and set a range for negotiation flexibility within a Flutter app. An Analyzer Agent (powered by a large language model) then optimally distributes the budget across the selected categories. A Matchmaker service calculates dynamic, category-specific pricing—such as per-head costs for catering, guest-threshold scaling for decorators, and flat rates for photographers and DJs. Instead of negotiating with each vendor one at a time, EventFlow activates a separate Negotiation Agent for each matched vendor, allowing all negotiations to run in parallel and in real-time within the app. Every negotiation utilizes Fireworks AI's Kimi K2 model, running on AMD’s MI300X. This setup enables fast and cost-effective handling of five to eight simultaneous negotiations per event, avoiding the delays associated with a sequential queue. On the backend, FastAPI and PostgreSQL serve as the authoritative source for every change in negotiation state. A state synchronization service mirrors every write operation to Firestore in real-time, ensuring that both customer and vendor applications remain in sync. Trust is enforced on the server-side: each counter-offer is validated against a floor price established during the matchmaking process and is never accepted from the client side. Any attempts to bypass this will result in an instant HTTP 400 error. Finally, an Aggregator Agent synthesizes the best combination of finalized deals across all vendor categories into one confirmed booking.
13 Jul 2026
VANTA: Autonomous GTM Intelligence Agent
VANTA is an autonomous GTM intelligence agent built for revenue teams that need real-time competitor and buyer intelligence. Instead of manually searching Reddit, G2, Trustpilot, Glassdoor, HackerNews, and search results for customer complaints, VANTA uses Bright Data tools to collect live public web signals at scale. The agent identifies dissatisfaction signals such as pricing frustration, support issues, feature gaps, migration intent, and competitor alternatives. After collecting data, VANTA uses Claude Opus through AIML API to analyze each signal, extract pain points, score buyer intent, and generate personalized GTM battle cards. These battle cards include account summaries, talking points, objection handling, and outbound email drafts that sales teams can use immediately. The platform includes a FastAPI backend, PostgreSQL/Supabase persistence, real-time SSE streaming, and a React/Vite dashboard. The dashboard shows live agent activity, intent signal cards, competitor vulnerability radar charts, ROI calculations, and CRM actions. Users can enrich leads, find decision makers, and push qualified opportunities into HubSpot. VANTA solves a real enterprise problem: GTM teams often miss buying signals because they are scattered across the open web. By combining Bright Data’s live web infrastructure with AI reasoning and CRM automation, VANTA turns unstructured web data into actionable revenue intelligence.
31 May 2026
SiteWatch AI
SiteWatch AI is an AI-powered construction intelligence platform built to solve one of the construction industry’s biggest challenges: lack of real-time visibility into safety risks, project delays, and cost overruns. Most construction companies still rely on manual inspections, spreadsheets, and delayed reporting processes. These outdated methods often lead to workplace accidents, missed deadlines, financial losses, and slow decision-making. SiteWatch AI modernizes construction monitoring using multimodal Gemini AI agents that analyze visual and operational data in real time. The platform allows users to upload construction site photos, project schedules, XLSX/CSV files, and daily reports. After upload, three specialized AI agents collaborate to generate actionable insights for project managers and stakeholders. The Vision Agent uses Gemini Vision AI to analyze site images and detect PPE violations, unsafe scaffolding, electrical hazards, open trenches, and other safety risks. It also estimates project progress and generates a safety score. The Risk Agent processes schedules and operational data to predict delay probability, identify major risk factors, estimate days behind schedule, and forecast potential cost overruns before they become critical. The Report Agent combines outputs from all AI agents and automatically generates executive audit reports containing summaries, safety findings, risk analytics, delay forecasts, and recommendations in downloadable PDF format. The platform features a modern dashboard with live analytics, charts, uploads, and AI-generated insights. SiteWatch AI is built using Gemini API, Gemini Vision API, Next.js, React, TypeScript, Tailwind CSS, and Recharts. Our solution helps construction companies improve worker safety, reduce delays, automate reporting, and make faster data-driven decisions using AI-powered enterprise intelligence.
19 May 2026
