Extract logs from Grafana and other logging platforms. Configure confidentiality levels, profiles, and let AI analyze your logs to identify failures and suggest solutions.

Browser extension to interact simultaneously with multiple AI models (GPT, Gemini, Perplexity and more) completely free. The AIs can talk and debate among themselves, enabling multi-perspective analysis and collaborative problem-solving.

Browse as if you were exactly at the address you choose. Create profiles that change your position, timezone and browser settings automatically.

Browser extension that summarizes and translates any YouTube video using your Gemini or GPT session. Get instant AI-powered summaries and translations without leaving the video page.

Application to protect your digital identity. Insert invisible and secure watermarks in your images and documents.

Intelligent legal assistant that analyzes legal documents (Official Gazettes, contracts, judgments) extracting summaries, deadlines, and AI-powered drafts. Features Privacy Shield to anonymize personal data before AI processing, ensuring GDPR compliance.

SubvencionApp is a comprehensive platform designed to simplify the complex world of grants and subsidies. Through an advanced search engine and personalized alert system, we enable freelancers, companies, and individuals to find public funding in real-time, adapted to their profile and location.Our platform not only detects opportunities but creates a collaborative ecosystem:For Applicants: Find the ideal grant and access a network of expert professionals to delegate the application process and ensure submission success.For Managers and Consultants: Functions as a high-quality client acquisition channel, connecting them directly with individuals and companies that have already identified a funding need.In essence, SubvencionApp eliminates bureaucratic barriers, transforming the grant search into an agile, transparent process with professional support.

Avistra is a comprehensive platform that centralizes access to official public auctions from Treasury, Justice, Social Security, municipalities and other state agencies. The platform functions as a professional marketplace connecting individuals with specialized auction experts.For Users: Access real-time auction listings with custom alerts and filters. Users can browse professional profiles, compare services, and hire verified experts to represent them in the auction process—from initial analysis and due diligence to bidding strategy and post-auction procedures.For Professionals: Licensed lawyers, real estate agents, and auction specialists can create detailed profiles showcasing their expertise, success rate, and service areas. The platform enables professionals to receive auction-specific leads, manage client relationships, and offer tiered service packages (consultation, full representation, or post-acquisition support).The system streamlines the entire auction lifecycle, reducing information asymmetry and democratizing access to opportunities that traditionally required specialized knowledge or insider connections.

Spottic is an advanced real estate aggregation and intelligence platform designed to centralize property searches in a unified environment. The system exhaustively tracks major market portals, enabling customized alerts and automating the contact process with advertisers to ensure maximum operational agility.The tool's differential value lies in its analytical capabilities: for each detected property, Spottic generates a technical report that evaluates the adequacy of the listing price by cross-referencing data with actual transactions executed in the area. Additionally, it provides historical and statistical price projections that determine the annual appreciation rate and local market trends, transforming conventional property searches into decision-making based exclusively on objective data and profitability metrics.

OSINT tool that searches for emails and usernames across thousands of public sources. Discovers digital footprints, social media profiles, and online presence by cross-referencing data from public databases, forums, and platforms.

Arcquity is a web-based platform that extracts, structures, and visualizes public financial data from SEC filings. The system automates the retrieval of Forms 13F, 13D/G, and Form 4 to build a structured database of institutional holdings.The platform functions as a data processing engine that converts SEC documents into relational datasets. Its primary capabilities include:Historical Tracking: Archiving quarterly portfolio snapshots to calculate position changes (buys, sells, and holds) over time.Data Correlation: Cross-referencing holdings across multiple funds to identify consensus ownership and sector allocation shifts.User Portfolio Analysis: A comparison tool that matches individual user holdings against the database of institutional positions.Embeddable Architecture: A widget system allowing third-party media outlets to integrate live data tables and charts directly into their content.

Browser extension that acts as a technical and fundamental analysis assistant within the Polymarket interface. The tool deploys an overlay panel that executes three critical functions in real-time:Divergence Indicator: Compares the current market price (market probability) with an AI-generated probability index based on recent news aggregation and social media sentiment analysis.Execution Calculator: Analyzes order book depth to estimate the actual average price and slippage impact of large-volume operations.Thesis Audit: Automatically generates counterarguments (Bear/Bull cases) to mitigate confirmation bias before opening a position.

Decision support tool for traders on the Kalshi platform, focused on analyzing political and economic events. Unlike its crypto counterpart, this extension prioritizes institutional information sources (Bloomberg, Reuters, AP).Automated Fact-Checking: Verifies contract resolution parameters against the latest legislative updates or official economic reports.Expected Value (EV) Analysis: Visualizes the discrepancy between offered odds and external analyst consensus.Chart Contextualization: Correlates historical price movements with the specific news events that triggered them, enabling distinction between real volatility and market noise.

A data intelligence system designed for public procurement market analysis (B2G). The project's core is a machine learning model trained on historical tabular tender data, aimed at reducing uncertainty in strategic decision-making. The system processes large volumes of structured data to infer competitor behavior and estimate economic award parameters.Technical Functionalities1. Competitor Inference (Competitor Mapping): A classification algorithm capable of predicting the list of probable bidders for a new tender. The model analyzes historical patterns based on CPV codes, geographic location, contracting authority, and base budget to identify companies with the highest probability of participation.2. Price & Discount Regression (Price Forecasting): A tabular regression model optimized to estimate the award price or the expected "average undercut." The system correlates tender variables with the historical commercial aggressiveness of detected competitors, providing a competitive price range adjusted to the tender's risk profile.3. Feature Engineering: Transformation of raw tender data into high-value predictive variables: Seasonality (analysis of temporal patterns in bid publications), Entity Clustering (segmentation of public contracting bodies based on award patterns), and Contractor History (performance metrics and success rates of competing companies).