Business Software for Jira

Matters.AI stands out as the pioneering AI Security Engineer for Data, specifically designed to autonomously detect, comprehend, and address instances of data misuse before any ticket is generated by the Security Operations Center (SOC). This innovative solution safeguards what truly matters, overseeing sensitive data as it exists or moves across various platforms, functioning similarly to a human security engineer that comprehends context, monitors activities, and protects sensitive information independently across environments such as cloud services, SaaS, endpoints, microservices, and AI pipelines. Built upon advanced technologies like semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, Matters goes beyond mere threat detection; it interprets context, foresees potential risks, and takes proactive measures. Rather than depending on outdated static rules, regex patterns, cumbersome dashboards, and incessant alerts, Matters adeptly reads nuanced data signals, tracks risks in real-time, and operates around the clock. By identifying sensitive data based not solely on appearance but also on its significance, Matters employs techniques like fingerprinting and eBPF to monitor data across cloud environments, SaaS applications, endpoints, and beyond, ensuring comprehensive protection and awareness. In this way, Matters.AI not only enhances data security but also transforms the landscape of risk management in the digital age.

Firstwork delivers advanced AI solutions for workforce operations, utilizing enterprise-grade AI agents that enhance candidate fill rates, decrease drop-offs, and facilitate a seamless transition from offer acceptance to the first work shift. Designed specifically for those who shape our world, Firstwork streamlines the various operational tasks that often hinder hiring, onboarding, compliance, and workforce management. The Document Verification agent efficiently authenticates IDs, permits, and other necessary documents in real time, promptly flagging any errors, poor image quality, or missing information to expedite the onboarding process. Additionally, the Browser Automation feature takes care of web-based tasks across multiple external platforms and systems, ensuring checks and updates are completed concurrently with comprehensive audit trails. Furthermore, the Workflow Engine transforms standard operating procedures into automated, flexible workflows powered by AI, empowering teams to create intricate, multi-step processes that operate seamlessly from start to finish without the need for manual oversight, ultimately enhancing overall efficiency. This innovative approach not only improves productivity but also supports a more agile workforce management strategy.

Freu AI adapts to your actions to perform intricate tasks with complete reliability, allowing users to move beyond the role of mere "software middleware." This AI agent, designed for Mac, automates any desktop application using natural language and a method of learning through direct action. Rather than depending on fragile coordinates, CSS selectors, prompts, or complicated setups, Freu interprets the user interface, monitors a cross-application workflow just once, and transforms it into a reliable deterministic domain-specific language that operates locally. The outcome is a self-sufficient skill crafted to carry out predictable tasks consistently, eliminating ongoing token expenses, the risk of hallucinations, and the need for prompt engineering. Freu effectively connects modern web applications, robust desktop software, and outdated ERPs without the necessity for APIs, facilitating workflows that include synchronizing invoices from emails to ERP ledgers, reconciling warehouse inventory with ERP data, transferring records in batches between legacy systems, automating updates in CRM systems, managing financial processes, and streamlining healthcare administration tasks. By leveraging such capabilities, users can significantly enhance their productivity and efficiency across various operational domains.

Axiamatic serves as a control platform rooted in artificial intelligence for enterprise transformation, aimed at empowering transformation teams to visualize, make decisions, and take action throughout the intricate steps of complex initiatives. It perpetually constructs a shared context by mapping live program activities, resulting in a continuously updated digital twin that documents every decision, reasoning, dependency, artifact, and signal as the work progresses. By assimilating and evaluating both structured and unstructured data from various sources such as enterprise systems, documents, tickets, workshops, conversations, and meetings, it generates a Living Context Graph that ensures comprehensive program context remains accessible, rather than merely reducing the reality to static status reports. Furthermore, specialized transformation agents identify structural issues as they arise, addressing concerns like translation loss, cross-stream drift, scope changes, overlooked requirements, conflicting dependencies, misaligned stakeholders, and resistance to change that may develop over time. This proactive approach allows teams to stay ahead of challenges and adapt their strategies effectively.

GetCybr is an advanced AI-driven virtual Chief Information Security Officer (vCISO) and Governance, Risk, and Compliance (GRC) platform tailored for Managed Service Providers (MSPs) and security consulting firms that offer extensive cybersecurity solutions. It equips service providers with the necessary infrastructure to establish a vCISO practice that is scalable, consistent, and of high quality, eliminating the need for outdated spreadsheets, disparate tools, compliance checklists, and piecemeal board reports. The platform encompasses the entire service delivery lifecycle, starting from the initial assessment of clients to ongoing compliance management, remediation efforts, detailed reporting, and effective communication with executives. Utilizing its AI capabilities, GetCybr effectively identifies and maps risks, compliance deficiencies, and the overall security maturity of each client, producing a prioritized action plan ready for presentation from the outset. By automating gap analysis, control mapping, compliance scoring, and remediation strategy development, GetCybr significantly reduces the time spent on manual assessment processes, while also supporting a variety of regulatory frameworks including SOC 2, ISO 27001, NIST CSF, HIPAA, CMMC, NIS2, and DORA. With this innovative approach, service providers can focus more on strategic initiatives rather than administrative tasks, enhancing their overall service delivery.

General Analysis serves as a cutting-edge AI security platform designed to aid security teams in adversarially testing, monitoring, and safeguarding AI agents and systems that are actively deployed. Its primary objective is to enable organizations to grasp AI-related risks, avert potential incidents, and secure various real-world AI applications, which include employee copilots, coding agents, customer support tools, healthcare assistants, legal aids, financial copilots, and creative workflows. By mapping out AI applications and agents through an extensive range of parameters such as prompts, retrieval methods, tools, MCP servers, browser activities, permissions, repositories, cloud accounts, SaaS workflows, and business processes, it effectively identifies context-aware attacks that highlight vulnerabilities within the system. The platform's automated red teaming employs adaptable attacker models that respond to target behaviors and generate complex multi-step exploit chains, providing security teams with the ability to discover vulnerabilities that traditional static prompt sets or endpoint-only testing might overlook. Ultimately, General Analysis empowers organizations to enhance their AI security posture while ensuring that their deployments remain resilient against evolving threats.

CloudApper iPaaS serves as an enterprise systems integration platform that harmonizes data and workflows across your software ecosystem. Engineered to eradicate manual inputs and data silos, this no-code solution empowers businesses to link critical systems without the burden of complex development. Core Capabilities: No-Code Setup: Create resilient system connections immediately through an intuitive, user-friendly interface. Bi-Directional Sync: Maintain absolute, real-time data alignment across all disparate enterprise platforms. API Management: Protect, oversee, and track endpoints to guarantee compliant, audit-ready information streams. AI Automation: Streamline intricate processes while utilizing intelligent digital agents to drive efficiency. Fully Managed Service: Benefit from professional, white-glove deployment along with continuous oversight and maintenance. CloudApper iPaaS converts isolated records into cohesive operational intelligence.

TestMax is an advanced automation platform that leverages artificial intelligence to streamline the process from requirement documentation to test execution. By integrating with Jira or Azure DevOps, engineering teams can allow TestMax to manage the complete lifecycle independently, which includes assessing the quality of requirements, creating organized test cases, generating runnable automation scripts, executing them through AI agents, and providing comprehensive traceability throughout the process. This automation not only saves time but also enhances the accuracy of testing efforts, ensuring that teams can focus more on development and less on manual testing tasks.

Custom Charts for Jira offers a versatile, no-code reporting solution that empowers teams to track their progress and identify obstacles without needing to master JQL. Users can create a variety of visualizations, including over ten types such as pie, bar, line, funnel, table, and tile charts, which can be seamlessly integrated into Jira dashboards. The application facilitates the creation of Agile, ITSM, and business reports by utilizing drag-and-drop functionality, color selection tools, and pre-designed templates. Additionally, it enables teams to monitor metrics like Time in Status, burnup, and burndown, while also allowing integration with Tempo Timesheets for comprehensive time tracking. Custom filtering options with personalized JQL, reporting on issue histories, and data retrieval from applications such as Structure and Xray enhance its capabilities. Furthermore, it collaborates with the Custom Charts Assistant Rovo agent to enable users to add charts to any Jira dashboard simply through natural-language commands, eliminating the need for field selection or JQL knowledge. Overall, Custom Charts is an essential component of Tempo's Strategic Portfolio Management (SPM) suite, providing a robust reporting framework that makes time, capacity, and portfolio data readily available to all users, complementing tools like Tempo Structure PPM, Timesheets, Capacity Planner, and Financial Manager. This integration ultimately streamlines reporting processes and enhances visibility across projects.

MicroGPT transforms the developer experience by delivering contextual assistance throughout the software development lifecycle. It not only offers code completions and chat capabilities within integrated development environments (IDEs) but also clarifies code and addresses documentation inquiries on platforms like GitHub, thereby improving the overall development process. With its role as an AI coding assistant, it provides instantaneous coding suggestions, identifies errors, conducts code reviews, facilitates optimization, supports debugging, and clarifies code—all integrated into the tools that developers are familiar with. Furthermore, MicroGPT seamlessly integrates with popular code editors including Visual Studio Code, Visual Studio, JetBrains IDEs, and Neovim, while also linking with GitHub, ensuring that developers receive assistance right where they need it, in relation to the code, repositories, and documentation relevant to their projects. This innovative tool ultimately allows programmers to focus more on creating value, encouraging innovation, and achieving heightened job satisfaction.

Flexagon offers a comprehensive solution for DevOps and configuration management tailored to enterprise applications, providing a unified platform to streamline technical deployments, oversee configuration migrations, and ensure an extensive audit trail across all environments. By transforming the way organizations handle various changes—including code deployments, configuration updates, compliance, metadata, and data management—Flexagon consolidates these processes within a single, governed platform. This innovative approach enables teams to significantly reduce manual tasks, decrease the likelihood of errors, and speed up delivery times while meeting compliance standards through integrated approval mechanisms and security features. Additionally, it facilitates the integration of existing tools like Jira, ServiceNow, and test automation systems into one cohesive pipeline. Flexagon's release packaging workflow empowers users to efficiently discover and organize files, customize package content, manage the addition and removal of files, and sequence them appropriately, while also allowing for the building and deployment of packages alongside managing work items, dependencies, and subcomponents. Ultimately, Flexagon not only simplifies the management of enterprise applications but also enhances overall operational efficiency and governance.

Clariel is a platform that enhances performance visibility and people intelligence through an evidence-based approach. It eliminates the need for subjective assessments by linking workforce expectations to ongoing work evidence sourced from various tools such as Jira, GitHub, Bitbucket, Azure DevOps, Zendesk, Teams, and Google Calendar. By consolidating performance data at the individual, group, and organizational levels, Clariel focuses on two main aspects: Contribution, which measures the delivery of outcomes, and Potential, which assesses growth capabilities. Its features include the automatic collection of work signals, comprehensive 360 review scorecards, role mapping across multiple groups, and Watchtower analytics for the early identification of performance risks, all driven by a governed AI copilot that ensures reliable insights. This innovative approach not only streamlines performance evaluations but also fosters a culture of accountability and continuous improvement within teams.

Edra serves as an AI-driven automation platform that comprehensively understands a business's actual operations, transforming existing operational data into actionable insights that AI agents can utilize. Rather than depending on teams to document processes through interviews and workshops, Edra analyzes tickets, logs, and messages to reverse-engineer workflows, compiling them into a structured library of executable knowledge. This effortless discovery process grants teams a clear view of their work practices across current systems. Subsequently, Edra translates that knowledge into easily understandable playbooks that outline the automation rules, enabling users to review, modify, and take ownership of the instructions prior to deploying AI agents within their familiar platforms. The platform is explicitly designed to prevent opaque automation, ensuring that the knowledge and guidelines that drive the agents remain transparent and manageable for users. Through this approach, Edra empowers organizations to streamline their operations while retaining control over the automation process.

Andera is an innovative audit platform powered by AI, designed to streamline the testing of controls and minimize the manual labor associated with financial and compliance audits. Auditors have the capability to upload evidence in almost any format, receiving workpapers that are ready for audit in the familiar formats utilized by their teams, while the platform manages control testing, evidence collection, exception handling, documentation, and analysis of the data provided by the organization. It can analyze entire populations, reconcile source information, detect anomalies, document findings, and maintain comprehensive audit records that detail each test's execution. Andera excels at processing disorganized, dynamic data types, including spreadsheets, PDFs, screenshots, emails, ERP exports, access tables, approval logs, policies, and previous audit documents, all without necessitating the restructuring of evidence beforehand. In contrast to traditional, inflexible robotic process automation (RPA) workflows, Andera is adaptable to changes in controls or evidence formats and does not demand a dedicated engineering team to sustain its automations. This flexibility allows auditors to focus on their core tasks rather than getting bogged down by technical challenges.

Sofos serves as a desktop workspace for business teams, merging a user-friendly document editor with a real-time Claude chat interface that operates on the same files within a single window on the user's device. The editor is capable of rendering Markdown live as users type, offers features like highlights and callout cards, allows for CSV editing similar to spreadsheet applications, and maintains all files in a plain format compatible with various tools such as Obsidian or VS Code. Users can interact with Sofos using straightforward English commands to read documents, modify files, and retrieve data from linked applications, with every suggested alteration displayed prior to execution. Changes are held in a pending state within Plan mode until the user gives their consent, ensuring control over the editing process. Furthermore, Sofos integrates seamlessly with various platforms including Notion, Linear, Slack, Jira, Confluence, GitHub, Figma, Canva, Asana, Stripe, Supabase, and HubSpot via MCP, enabling teams to collaborate effectively without the need to transfer their data. Additionally, shared workspaces can leverage GitHub in the background while offering intuitive review and approval processes tailored for business users, enhancing overall productivity and collaboration.

Pi serves as a proactive product security platform designed to cultivate a robust institutional security memory, enabling organizations to identify, address, and avert recurring vulnerabilities without hindering their development processes. By continuously assimilating various elements like codebases, historical incidents, penetration test reports, and support tickets into a dynamic inventory, it provides essential context regarding the organization's software development and security practices. Upon discovering a vulnerability, Pi not only identifies its architectural root cause but also searches the entire codebase for similar variants, facilitating a comprehensive resolution of related issues instead of addressing each finding in isolation. The remediation process is tailored to align with the organization's specific programming languages, architectural frameworks, and coding conventions, seamlessly integrating into developers' workflows. Additionally, the insights gained by the system are transformed into preventive guardrails that can be implemented in integrated development environments (IDEs) and during pull requests, effectively intercepting known insecure practices before they can be deployed into production. Ultimately, this approach not only enhances security but also streamlines the development lifecycle, ensuring that security becomes an integral part of the coding process.

Snowfire AI serves as an innovative enterprise decision intelligence platform that integrates proprietary business data, organizational insights, and contextual reasoning with real-time market indicators to empower leaders in making informed choices. It harmonizes various data sources from CRM, ERP, finance, marketing, HR, operations, and security, establishing a governed operating framework that ensures reliable metrics and complete traceability. The platform's Signals Intelligence feature constantly tracks both internal performance metrics and external changes, flagging significant developments and directing timely alerts to the appropriate leaders. Additionally, the Ask Business Data functionality enables executives to pose inquiries in everyday language, receiving immediate answers based on interconnected business data, eliminating the need for analysts or cumbersome dashboard recreations. Furthermore, Metric Intelligence standardizes the definitions of key performance indicators (KPIs), ensuring that signals, responses, and reports all originate from a uniform set of data, thereby enhancing overall clarity and consistency in decision-making processes. This comprehensive approach ultimately equips organizations with the tools they need to navigate complex business landscapes effectively.

Notely AI serves as a comprehensive workspace for managing notes and tasks, transforming your written thoughts into structured and actionable items while maintaining user oversight. It allows users to effortlessly jot down notes and systematically organize them through various features like folders, tags, favorites, reminders, version history, and sharing options. Additionally, users can inquire about their notes, tasks, and linked applications, receiving answers that cite their sources. The AI assistant is capable of searching for information, planning complex workflows, and suggesting modifications, yet no actions are executed until the user gives their consent for each phase. Notes can easily be converted into tasks complete with specific dates, times, and priority levels, and these tasks can seamlessly sync with Google Calendar. Furthermore, users can create automations that operate on a specific schedule or in response to particular triggers, either by describing their desired workflows to the assistant or by constructing them incrementally with a preliminary testing phase. Moreover, a unified inbox consolidates due dates, automation tasks, reminders, and updates from various connections, streamlining the user experience. This ensures that users can efficiently manage their responsibilities without feeling overwhelmed.

BugIt serves as a locally operated quality assurance tool that transforms rough test notes into organized bug reports tailored for software development teams. It prompts users for any missing information, analyzes logs, investigates connected tracking systems for potential duplicates, proposes severity levels, redacts sensitive information, and ensures the completeness of each report. Users are required to review every draft and type FILE IT before BugIt can create or modify any tickets. The tool is compatible with a variety of platforms, including Jira, Azure DevOps, GitHub Issues, GitLab Issues, Bugzilla, YouTrack, Linear, Shortcut, ClickUp, Asana, and Trello, and can be operated via compatible AI assistants or through a terminal interface. BugIt aims to assist testers, developers, and teams in generating consistent and actionable reports while safeguarding tracker credentials and project-related data on the user's device. Its intuitive design ensures that team members can easily communicate and resolve issues without compromising security.

Dokai is an innovative AI platform that streamlines prospect prioritization for go-to-market teams, enabling them to boost the productivity of sales representatives by spotlighting the most promising opportunities. By automatically ranking accounts, it allows reps to minimize the time spent on prospecting across various platforms and instead focus on engaging with the most relevant leads. The platform effectively captures, monitors, and facilitates actions on Marketing Qualified Leads, ensuring that sales and marketing efforts remain synchronized to prevent valuable opportunities from slipping away. Additionally, Dokai can filter out accounts that are not a good fit, which not only conserves research time but also empowers reps to broaden their outreach without resorting to guesswork. Teams can also design personalized engagement sequences based on interactions with marketing initiatives, thereby enhancing both meeting rates and pipeline development. Furthermore, Dokai adapts to existing go-to-market workflows by learning from user actions within the browser, which significantly lessens the onboarding process and aligns with the established working methods of teams. Overall, Dokai serves as a vital tool that empowers sales teams to maximize their efficiency and effectiveness in identifying and pursuing high-quality leads.

Annot8 is an online tool designed to facilitate visual feedback and the reporting of website issues for various stakeholders, including product teams, web agencies, designers, developers, and quality assurance reviewers. The platform features an embeddable widget that enables users to attach comments directly to specific elements on a webpage, allowing them to provide detailed feedback along with the page URL, browser information, viewport details, and additional session context. Teams can efficiently manage reports and discussions through a shared inbox, where they can prioritize and assign tasks while also collecting feature requests via forms and a public voting portal. Feedback can be seamlessly directed to issue trackers, team communication channels, or transmitted through webhooks for further action. For those interested in advanced capabilities, paid plans offer AI-enhanced triage and an agent that can generate draft pull requests for GitHub, ensuring that these drafts require human approval before merging or deploying. Additionally, users can access a free plan, which allows guest reviewers to submit feedback without needing to create an account, making it easy for anyone to contribute their insights. This comprehensive tool streamlines collaboration and enhances the overall efficiency of web development projects.

Flowra is a cloud-based platform that facilitates the development and execution of AI agents and automated workflows using natural language commands. Users can articulate a task, integrate various business applications via OAuth, and construct an agent capable of selecting tools during execution, following a predetermined workflow, or functioning as a coordinator that assigns tasks to subordinate agents. Executions can be initiated manually, scheduled, triggered by application events, through messaging platforms, a website widget, or via an API. Certain steps can include approval gates that allow for pauses, giving individuals the chance to review, modify, approve, or reject actions before they move forward. A comprehensive run ledger captures both inputs and outputs for later analysis. Additionally, users have the flexibility to create custom tools from API endpoints or concise scripts and can register MCP servers to enhance functionality. Flowra caters to a range of applications, including customer support, lead routing, generating email summaries, sending notifications, and managing issue triage. Delivered as a hosted service, it offers a user-friendly web dashboard, developer SDKs, and a command-line interface, making it accessible for various technical levels. This versatility ensures that businesses can streamline their processes effectively while leveraging AI capabilities to improve efficiency and productivity.

Scritch serves as an AI recovery agent tailored for support and product teams within B2B software organizations. Its software development kit (SDK) links a failed action within an application to a recovery process that analyzes the server's response alongside pertinent read-only data. This process translates the issue into simple terms and solicits information from the user that only they would possess. When a modification is required, Scritch seeks approval and verifies through code that the solution is effective before notifying the user that they can proceed. Teams have the flexibility to outline the tools and repair procedures accessible to the agent. In instances where Scritch is unable to resolve an issue, it compiles a detailed explanation and case history for the support team and can seamlessly transfer the case to associated ticketing and messaging systems. Typical scenarios include issues like rejected invoices, unsuccessful imports or uploads, expired sessions, and access-related problems. Importantly, the product focuses specifically on addressing technical barriers in B2B applications, steering clear of consumer-oriented tasks such as social media ban appeals or content moderation challenges, ensuring that it remains dedicated to enhancing operational efficiency in the business sector.

Stably is a browser and end-to-end testing solution that utilizes AI to assist software teams in their development processes. Customers can describe their workflows in straightforward terms or capture them, leading to the generation of reviewable Playwright tests that can be executed on Stably Cloud or integrated into their existing CI setups. The platform offers comprehensive features such as test planning, browser execution, screenshots, video recordings, and detailed trace data, all aimed at aiding teams in analyzing outcomes and diagnosing issues. It has the capability to detect discrepancies in tests and suggest necessary adjustments as web interfaces evolve, ensuring that updates undergo review through Git pull requests instead of being applied automatically. Stably is designed to assist QA specialists, product managers, and developers who are tasked with the creation, execution, and maintenance of browser-based validation checks for web applications, which include vital processes like release regression, checkout flows, authentication, forms, and various multi-step user interactions. Furthermore, teams are able to link their testing coverage directly to repositories, Jira tasks, and product documentation, while seamlessly incorporating Playwright code into their established development workflows. This integration allows for a more cohesive and efficient approach to managing quality assurance and development tasks.

Vulnify serves as a runtime authorization platform tailored for developers and security teams creating AI agents that interact with tools or APIs. Prior to executing a tool, the agent transmits action metadata—which encompasses details about the agent, the action being taken, the resource involved, the destination, and the count of records—and subsequently receives a decision categorized as ALLOW, REVIEW, or BLOCK, accompanied by a risk score ranging from 0 to 100 along with justifications. Teams have the flexibility to define and test YAML policies via a command-line interface, while also incorporating checks through Node.js or Python SDKs, a REST API, or various adapters compatible with agent frameworks. Additionally, the monitor mode enables the logging of decisions without hindering actions, and in the event that Vulnify becomes unavailable, a fail-closed protocol will prevent actions unless a fail-open setting is established. An audit log that utilizes hash chaining maintains a record of decisions made, with paid subscriptions offering the inclusion of human review processes. Typical applications of Vulnify include overseeing data exports, managing external communications, processing payments, and other actions initiated by agents. It is important to note that Vulnify focuses on evaluating action metadata instead of the actual contents of the records affected, ensuring a streamlined approach to authorization. Overall, this unique system helps enhance security and compliance for AI-driven operations.