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GoCanopy is an AI-native intelligence platform designed specifically for institutional real estate investors. It transforms fragmented data from various sources—such as PDFs, Excel files, and emails—into a structured, traceable intelligence layer. This consolidation enables investment teams to make informed decisions with confidence, preserving institutional expertise and uncovering opportunities that might otherwise be overlooked. Key Features and Functionality: - Automated Data Ingestion and Structuring: GoCanopy automatically ingests unstructured internal documents, including offering memoranda, rent rolls, and asset management reports, converting them into a unified, organized intelligence layer. - AI-Augmented Workflows: The platform assists with recurring tasks such as surfacing comparables, drafting summaries, and preparing materials, all while maintaining traceability. Outputs are transparent, editable, and fully sourced, ensuring teams retain control over their processes. - Institutional Memory Preservation: By connecting deal history, market context, and assumptions across sources, GoCanopy preserves institutional knowledge, allowing expertise to compound over time and across teams. - End-to-End Process Integration: From screening to closing, the platform transforms disconnected data into a seamless workflow, enabling teams to move deals efficiently through each phase without missing opportunities. Primary Value and Solutions Provided: GoCanopy addresses the challenge of fragmented and unstructured data in real estate investment management. By consolidating disparate information into a cohesive, traceable system, it enhances data quality and accessibility. This leads to more efficient workflows, deeper analysis, and more confident decision-making. The platform's AI-driven capabilities reduce manual data handling, allowing investment teams to focus on strategic analysis and value creation. Ultimately, GoCanopy empowers institutional investors to unlock the full potential of their data, leading to more profitable deals and sustained competitive advantage.
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Anomali aggregates threat intelligence under one platform, providing an integrated set of tools to support fast, efficient investigations, and delivering “operationalized” threat intelligence into security controls at machine speed.
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Cypho is an agentic AI-powered threat intelligence platform that helps organizations find and fix external exposures before attackers can use them. It continuously monitors the surface, deep and dark web, including underground forums, Telegram channels, stealer logs, paste sites, code repositories, app stores and social networks, for anything tied to a company. Agentic AI then triages every candidate finding, links it to the organization's own assets and ranks it by real risk, so security teams receive verified issues with clear remediation steps instead of a flood of raw alerts. Cypho serves security teams, SOC analysts and risk leaders across financial services, government, energy, telecom, healthcare and retail, from startups to large enterprises. MSSPs can also deliver it to their clients under their own brand. The platform brings four modules together on one shared map of what an organization owns: Threat Intelligence, Attack Surface Management, Brand Protection and Attack Intelligence. Together they address use cases such as dark web and data leak monitoring, brand impersonation prevention, attack surface discovery, vulnerability prioritization, threat actor tracking, and faster detection and response. Each module goes deep in its area. Threat Intelligence profiles threat actors from APTs to ransomware gangs, ranks vulnerabilities by exploitation likelihood using CVSS and SVRS scores, maps tactics to MITRE ATT&CK, and exports IoCs via JSON, CSV or TAXII. Attack Surface Management starts from a single domain to discover subdomains, IPs, APIs, cloud services and mobile apps, then continuously checks them for open ports, misconfigurations, expired certificates, weak email security and hard-coded secrets. Brand Protection detects lookalike domains with similarity scoring, fake executive accounts, rogue apps, leaked documents and stolen payment card data. Attack Intelligence runs Siren honeypot sensors on Cypho's global network or inside a customer's DMZ and private network, capturing full attack payloads and classifying them by behavior, while the Rover ML model flags unusual activity. What sets Cypho apart is first-hand evidence combined with focused, verified output. Its own sensor network shows attacks as they happen rather than relying only on second-hand reports, and every finding is reviewed before it reaches the customer. A built-in AI Assistant lets teams ask questions about their own security data and get answers linked to the exact sources checked. With 24/7 analyst support on every issue and pricing based on each organization's footprint, Cypho gives security teams continuous visibility into their external threat exposure and the context to act on it quickly.
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SWARMHR is a cloud-based workforce automation software. A fully equipped software suite that can handle the HR, Accounting, and Recruitment needs of any business. SWARMHR offers a robust, and easy to use solution for businesses that are looking to scale and cut costs.
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Borneo is your one-stop solution for real-time data security and privacy observability. Fast-moving security teams use Borneo to prevent sensitive data mishandling, stop data leaks, and drive privacy compliance.
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DrapCode is a NoCode/LowCode Platform that helps you build, design and launch complex web applications without writing any coding. You can simply drag and drop components to build full-fledged Web Applications like building blocks.
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SaaS and on-premise enterprise CMDB software solution based on historizied configuration items.
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IP Fabric is a vendor-neutral network assurance platform that automates the holistic discovery, verification, visualization, and documentation of large-scale enterprise networks, reducing the associated costs and required resources whilst improving security and efficiency. IP Fabric provides both the high-level overview and granular detail of your network state by creating a unique and flexible network model, which can be used to detect critical violations and business-impacting inefficiencies and verify policy compliance. This contextualized data about your network can be used to elevate network operations, fill gaps in existing tooling ecosystems, and set enterprises on the path to a self-driving network. It supports engineering and operations teams, underpinning migration and transformation projects. IP Fabric will revolutionize how enterprises approach network visibility and assurance, security assurance, automation, multi-cloud networking, and trouble resolution. IP Fabric is unprecedented in its category thanks to the approach to developing our network assurance platform; we look at the network through the eyes of the engineer who'd be using it every day and focus on solving their problems. We know by keeping this as a focus, the benefits for other teams (C-suite, security, cloud teams, etc.) fall into place, and we know this through hands-on experience - a collective century plus of hands-on networking experience - with the very issues we solve. Additionally, we are integration focused; our deep understanding of the tooling ecosystems that most enterprises have means that IP Fabric is designed to enhance, leverage, and fill the gaps in the tooling you already have in place, expanding on their value and enabling different ways of interacting with your tooling – limitless, innovative, “never knew this was possible” ways that we hear from our customers all the time. IP Fabric has three stages of adoption; baseline, operate, and innovate. Even users who are far from the “innovation” stage see massive returns when using IP Fabric to baseline their network. In fact, this value is realized from day 1 of implementation; the baseline stage involves a process of automated discovery that provides new ways of understanding how large and complex networks behave, through unparalleled visibility into the network. The second stage – operate – sees the augmentation of your network operations through using IP Fabric data to streamline and optimize workflows and processes. Introducing more self-service elements for non-network teams through flexible data democratization leads to happier, more efficient teams – not just network teams, but across the entire organization. All of this sets our customers up for stage three - innovation – where they’re on the road to a self-driving network. Here, network teams can start putting data intelligence from IP Fabric to work through integrating via API to the rest of their tooling ecosystem. At this point – with an automated, transparent network that is continuously aligned with your intent – the possibilities for innovation become endless.