Business Software for Jira

Archestra serves as an open-source, self-hosted AI platform designed for the deployment and management of agents within an organization. It features agentic chat functionalities tailored for non-developers, along with applications, skills, collaborative projects, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security guardrails, and comprehensive observability, all integrated into a single platform. Users can authenticate through SSO, ensuring that every tool interaction occurs under the individual’s personal identity rather than through a common service account. Projects are organized to consolidate chats, files, scheduled tasks, and instructions, while agents operate within isolated containers, triggered by schedules, emails, or webhooks. MCP servers are hosted within the organization's Kubernetes environment, navigating through security-reviewed promotion processes that enforce distinct credentials and network policies. Furthermore, knowledge bases can interface with Confluence, Jira, drives, and internal documents while maintaining source-system ACLs, ensuring that users can access only the content for which they possess permissions. This comprehensive suite of features makes Archestra an invaluable resource for organizations looking to streamline their AI deployments and governance.

Roomote functions as a cloud-based coding assistant designed to operate your true development environment, ensuring the accuracy of its outputs, conducting code reviews using distinct models, and delivering pull requests complete with real-time previews for user endorsement. It offers the flexibility to be self-hosted or operated within a secure, single-tenant cloud environment, empowering teams to maintain control over their code, prompts, tools, models, and overall infrastructure. Users can initiate tasks via various platforms, including the web, Slack, Microsoft Teams, Telegram, or Discord, without the need for any local installation, and it supports the execution of multiple tasks simultaneously. Each operation is managed through specialized roles that handle routing, exploration, planning, coding, and review processes, allowing users to select different models for each task or integrate their own API keys and local models. Roomote ensures the actual application is executed before marking tasks as complete, can set up the necessary database state for review purposes, and offers verification through various formats such as screenshots, videos, or live previews of pull requests. This comprehensive approach not only streamlines the development workflow but also enhances collaboration among team members and fosters a more efficient coding environment.

Superflow is an innovative AI-powered QA review platform designed specifically for web and marketing teams, transforming traditional QA checklists into automated agents that meticulously examine every change on a website prior to deployment. These agents can assess both live and staging environments for various issues, such as broken links, spelling mistakes, accessibility standards, SEO compliance, and adherence to brand guidelines, while also implementing any unique rules crafted by the team, subsequently providing feedback as comments directly on the relevant elements. With built-in memory, the system retains context across multiple reviews, allowing new projects to benefit from accumulated client knowledge, all while ensuring that human team members maintain ultimate authority over decisions and approvals. Comments are consistently attached to elements even through modifications and redeployments, featuring screenshots of the review process and offering options for internal privacy. Clients enjoy the convenience of reviewing and approving work via a shared link, which requires no account creation, even for pages secured with passwords, Okta, or SSO, and the review process is accessible on both desktop and mobile devices through various formats like text, screenshots, and video recordings, enhancing collaboration and efficiency across teams. This platform not only streamlines the QA process but also empowers teams to deliver high-quality web experiences with confidence.

Agiloop is a platform designed for AI-driven product development that seamlessly integrates the entire software lifecycle, spanning from conceptualization and requirement gathering to execution, evaluation, and ongoing enhancement. The INVENT feature leverages AI-based interviews and repository assessments to convert fresh ideas or pre-existing applications into organized functional and technical specifications, comprehensive features, user narratives, and criteria for acceptance. The IMPLEMENT phase takes the validated specifications and directly constructs complete features within your Git repository, incorporating integrated code reviews, test scaffolding, validation of acceptance criteria, security assessments, and compatibility with current CI/CD workflows. During the INSPECT phase, it instruments the created features at build time, delivering real-time analytics on usage, user journeys, event tracking, metric goals, and AI-driven insights without needing a separate tracking configuration. Finally, the ITERATE component assesses business performance, application stability, system architecture, and technical liabilities, offering actionable recommendations for improvements that can be implemented straight away, ensuring a continuous cycle of enhancement and adaptation. This comprehensive approach not only streamlines the development process but also enhances collaboration and transparency throughout the software lifecycle.

Clears is an innovative platform for automated software delivery that streamlines the engineering process from the initial requirements gathering to the review of pull requests, effectively navigating the entire software development lifecycle. It evaluates incoming tasks based on factors such as agent confidence, risk levels, and complexity, while also pinpointing the relevant repositories involved in each issue. This enables teams to assess which tasks are suitable for automation before they are included in an upcoming sprint. The platform utilizes agentic workflows to facilitate a smooth transition through stages of analysis, approval, implementation, validation, and PR review, ensuring that each agent seamlessly continues from where the last one concluded. Each issue benefits from an ongoing AI session capable of delving into the codebase, refining requirements, addressing queries, suggesting modifications, and maintaining contextual continuity throughout its lifecycle. Additionally, a collaborative Context Layer retains organization-wide guidelines, repository structures, past decisions, API agreements, common obstacles, and execution records, ensuring that agents build upon existing knowledge rather than starting anew with each task. This comprehensive approach not only enhances efficiency but also fosters better collaboration among team members.

Tines 3B is a robust platform designed for intelligent workflows, enabling users to efficiently create and implement AI agents, applications, and automation in a single, secure environment at scale. Users can initiate their projects using natural language prompts, articulate their processes conversationally, collaborate with an integrated LLM for brainstorming, or develop workflows through coding with integrated Git and branching capabilities. As users construct their workflows, the platform suggests tests, generates placeholder data when necessary, and prompts for confirmation before utilizing any live data or applications. The Dedicated Spaces feature ensures that the appropriate connectors, permissions, and skills are in place, while LLM Skills facilitate consistency in the development practices across various teams. Each step within a workflow operates in a secure, isolated sandbox, and credentials are dynamically injected during runtime via a transparent proxy to ensure that sensitive information remains protected from builders, AI systems, or stored code. Furthermore, these workflows can be executed in self-hosted, on-premises, or hybrid configurations, providing flexibility and adaptability for any organizational needs. This comprehensive approach allows teams to innovate rapidly while maintaining high standards of security and efficiency.

The Portable Computer serves as a local-first alternative to the Perplexity Computer, operating entirely on your personal device to ensure that sensitive information remains private while still accommodating sophisticated workflows. In collaboration with NVIDIA, it effectively manages various functionalities such as the orchestrator, planner, tool router, scheduler, durable task queue, local search index, and AI models, all executed locally. This enables it to perform data analysis, file synthesis, document and code searching, and execute tasks directly on the device, maintaining long-running processes without needing cloud connectivity. It is designed to operate on NVIDIA DGX Spark, utilizing either Qwen 3.8 27B or PPLX 27B models, with the addition of NVIDIA Nemotron 3.5 Lightning to enhance model selection. The system is optimized to carry out as many operations as possible locally, only escalating tasks that require real-time data, internet browsing, integration with other applications, or advanced reasoning capabilities. Additionally, when there’s a need to transmit any information from the device to a cloud-based service, the Portable Computer will first seek user consent before continuing with the action, ensuring user control over data sharing. This thoughtful approach not only emphasizes privacy but also enhances user confidence in managing their data securely.

Venvera is an AI-assisted GRC and compliance automation platform designed for regulated companies managing overlapping regulatory frameworks. Its central capability is cross-framework control mapping: evidence attached to one control automatically satisfies equivalents across DORA, NIS2, ISO 27001, SOC 2, GDPR, HIPAA, CMMC 2.0, PCI DSS, EU AI Act, and other standards. The platform includes automated evidence collection with integrations into Microsoft 365, Google Workspace, AWS, Azure, and Jira, along with regulatory incident clocks, a DORA Register of Information with xBRL-CSV export, and board-ready compliance reporting with personal liability tracking. Built-in third-party risk management supports unlimited vendors and questionnaire campaigns with automated risk scoring, concentration analytics, and sub-outsourcing chain mapping. An AI Virtual CISO provides article-level regulatory answers grounded in live compliance data, policy drafting, and gap analysis, running on the organisation's own API key. Venvera serves compliance officers, CISOs, and risk managers at financial institutions, SaaS companies, healthcare organisations, and enterprises subject to complex regulatory requirements, offering EU data residency by default and support for English, German, Spanish, Bulgarian, and Arabic.

Klarent is an AI-driven platform designed for comprehensive QA testing of both web and mobile applications. Simply articulate your testing requirements in straightforward terms, and Klarent's advanced AI system will autonomously generate, execute, and maintain your end-to-end tests without the need for any coding or scripting. Moreover, when there are updates to your user interface or underlying logic, the tests automatically adjust themselves, which effectively reduces the occurrence of unreliable tests and the need for manual upkeep. Klarent efficiently operates in parallel across various browsers and devices, including web, native iOS, Android applications, and APIs, while seamlessly integrating with your CI/CD workflow (such as GitHub, GitLab, Jenkins, and Azure DevOps), providing results directly to platforms like Slack, Microsoft Teams, and Jira. You can utilize it as a self-service option or choose a fully managed service tailored to your needs. It is certified with SOC 2 and ISO 27001, and can be deployed either in your own cloud environment or on-premises, ensuring flexibility and security. Additionally, Klarent's user-friendly interface makes it accessible for teams of all sizes to streamline their testing processes.

Libra is an innovative AI platform developed from your company's expertise, designed to replicate your approach and processes by integrating your past experiences, key priorities, and tools with self-sufficient execution. By linking the existing tools your team utilizes, Libra can seamlessly operate within your company's environment without the need for any migration. You can articulate a task in simple terms, and it activates a specialized agent that manages the entire workflow, ensuring tasks are assigned to the appropriate functions, deadlines are met, and results are delivered efficiently. It has the capability to evaluate job candidates and arrange interviews, compose responses to incoming inquiries, document product feedback in relation to the development roadmap, and submit bug reports, complete with reproduction steps. When it comes to meetings, Libra not only prepares summaries in advance but also captures key decisions, action items, and responsible parties in real time as discussions unfold. Its inbox management system organizes incoming emails into actionable items and generates replies in the user's tone for review, ensuring effective communication. Additionally, Libra continually learns from interactions, enhancing its ability to assist and adapt to your team's evolving needs.

Your AI tool generates thousands of lines of code daily, yet the majority of them often go without thorough examination. CybeDefend operates seamlessly within the agent as it develops code. With a single command, VibeDefend is integrated into platforms such as Claude Code, Cursor, Windsurf, GitHub Copilot, Codex, and other coding agents. From that moment on, the agent incorporates your business guidelines, automatically sourced from your repository (including tenant scoping, soft delete, and audit on write), alongside your established security protocols (like OWASP, SOC 2, GDPR, and ISO 27001). It continuously scans each code change while the file remains open, implementing safeguards that prevent the execution of harmful commands like rm -rf, sudo, or unauthorized access to your sensitive information before they can be executed. Supporting this functionality is a comprehensive Application Security platform that encompasses SAST, SCA, secrets management, Infrastructure as Code (IaC), CI/CD, container scanning, and an AutoFix feature. The free tier requires no credit card and offers 10 static scans along with 50 AI credits, while premium subscriptions begin at just $19 per month. To install, simply use the command: npx -y @cybedefend/vibedefend@latest.

Acreom is an innovative open-source personal knowledge base and second brain specifically designed for software engineers. This platform seamlessly merges personal notes and tasks with team-related issues and pull requests within a single, streamlined workspace, effectively minimizing the need for frequent context switching during the development cycle. Users can utilize Markdown pages to encompass issues, project details, documentation, subtasks, code snippets, and accumulated knowledge, while dedicated Projects facilitate straightforward personal issue tracking, and Rich Links allow for immediate connections to external issues and PRs from relevant pages. With integrations available for tools like Jira, GitHub, Linear, and Google Calendar, developers can efficiently access team information, manage tasks, review pull requests, and check their schedules all from their personal workspace. My Day serves as a comprehensive tool that combines a daily brain dump, planning interface, event management, overdue tasks, and today’s agenda, whereas Quick Capture enables users to swiftly jot down notes and tasks using keyboard shortcuts, ensuring they remain in their workflow. Additionally, features such as full-text search, quick navigation, and contextual search capabilities enhance the ease of retrieving information promptly, enriching the user's productivity experience. This powerful tool not only streamlines task management but also fosters a more connected and efficient development environment.

Enterprise Hub AI streamlines the connection of business evidence, enabling teams to spot potential risks, prioritize tasks, and assess decisions across various systems. Company Brain systematically organizes approved information into Brain Cases, which are source-linked records that detail issues, decisions, risks, and opportunities. My Focus delivers a clear and understandable daily overview of priorities, tasks, and requests for review. Program Assurance allows authorized leaders to assess gaps in evidence, identify blockers, check for conflicting statuses, manage overdue decisions, and pinpoint ownership deficiencies. The Living Company Map illustrates the interconnectedness of cases, workflows, decisions, and sources, enhancing overall clarity. Additionally, Workflow Intelligence detects recurring patterns that warrant review and consideration. Supported workflows, skills, and agents operate under explicit plans and authorization controls, with available operations contingent upon permissions and deployment range. For organizations interested in exploring these features, private demonstrations can be arranged upon request, ensuring tailored insights into the platform's capabilities.

Snowflake CoCo is an AI coding assistant that simplifies intricate data engineering, analytics, machine learning, and AI workflows through intuitive conversations. It possesses a deep understanding of enterprise-level contexts, including data catalogs, lineage, role-based access control (RBAC) policies, computational resources, and pipeline interdependencies, ensuring that the generated code accurately references real-world objects with the appropriate permissions. With CoCo, teams can efficiently identify data, construct pipelines utilizing tools like dbt, Apache Airflow, Postgres, Spark, and AWS Glue, as well as produce executable machine learning pipelines for Snowflake Notebooks and develop applications and AI agents that are rooted in enterprise data. Its toolkit incorporates specialized features tailored for Snowflake, such as semantic catalog searches, data comparison tools, and isolated runtime environments, avoiding reliance on generic code wrappers. For handling intricate, multi-step processes, CoCo’s orchestration capability can intelligently manage sub-agents and facilitate automatic routing between models. As a desktop development platform, CoCo provides users with access to local files, terminal interfaces, and integration with Snowflake, enhancing the overall development experience for data professionals. This comprehensive approach ensures that teams can streamline their workflows while maintaining a strong focus on data security and governance.

Snowflake CoWork serves as a personal work agent designed for knowledge professionals, transforming enterprise data into actionable decisions via a single governed conversational interface. Previously known as Snowflake Intelligence, it operates seamlessly within an organization's existing data environment, enabling reasoning over both structured and unstructured data, conducting analyses, generating reliable insights, and facilitating actions across various business tools without requiring users to sift through dashboards or rely on data teams. The platform's Deep Research feature allows for thorough investigations into questions across the entire data landscape, delivering detailed reports that clarify current events, their causes, and recommended subsequent actions. Furthermore, through its MCP, CoWork integrates with applications like Slack, Gmail, Jira, Salesforce, Microsoft Teams, Outlook, and Exchange, empowering users to execute tasks directly from their conversations. Teams can also utilize Artifacts to preserve charts, discussions, and outputs as reusable knowledge assets, while Skills enable the transformation of repeatable multi-step processes into workflows that can be easily executed by colleagues in the future. This innovative approach not only streamlines workflows but also enhances collaboration among team members by making knowledge easily accessible and actionable.

Guardiso is a governance, risk and compliance (GRC) platform built in Europe. It brings international frameworks and national law together in one place. Companies manage ISO 27001, GDPR, NIS 2, DORA, TISAX, SOC 2, ISO 27701, ISO 22301, ISO 42001 and the EU AI Act from a single control catalogue. Work done for one standard counts towards the others, so nothing has to be repeated for each audit. The platform includes versioned policies with staff acknowledgement, registers for risks, evidence and incidents, internal audits, supplier assessments and a trust centre. Integrations with Microsoft 365, Google Workspace, AWS, Azure, GitHub and Okta check security settings every day and record each result against the matching controls. For Polish organisations, Guardiso also covers the national cybersecurity act (KSC): whether it applies, which duties follow and what has to be in place. The platform works in English and Polish. We use Guardiso ourselves and we are ISO 27001 certified. The company has provided compliance consulting since 2018. The platform launched in 2026. Data is stored in the European Union.

VerifyAX serves as a platform for verifying AI agents, enabling organizations to assess their autonomous agents' performances in realistic conditions prior to launching and during their operational phase. This platform offers a comprehensive verification framework that allows for the simulation of agent behavior, the testing of edge scenarios, the tracking of decision-making pathways, and the detection of potential problems before they can impact live systems. Teams are able to integrate their agents, models, and various tools, specify their testing objectives, and conduct evaluations based on simulations aligned with defined criteria. Each evaluation generates detailed audit-level reports that include scores, transcripts, narratives, and actionable recommendations. The platform accommodates various structured data formats such as text, images, tables, CSV, Excel, and PDF, while also enabling synthetic data creation for rigorous stress testing without risking the security of proprietary information. Additionally, VerifyAX assesses agents' proficiency in utilizing enterprise applications like email, Jira, and Slack, analyzing metrics such as workflow completion, accuracy of outputs, efficiency of processes, and consistency throughout multiple assessments. This multifaceted approach ensures that organizations can confidently deploy their AI agents, knowing they have been thoroughly vetted under real-world conditions.

Feedback1 is a cutting-edge product feedback solution designed specifically for B2B SaaS companies, leveraging AI to analyze all incoming requests from various sources such as widgets, portals, emails, and integrations. The AI efficiently tags and groups related themes, while also drafting actionable insights for product development. Product teams can prioritize tasks based on votes, CRM data, and OKRs. Customer success teams have visibility into which accounts provided input, enabling them to effectively close the feedback loop when new features are released via a public roadmap, changelog, and in-app notifications. Additionally, features like MCP, REST API, and webhooks empower teams to retrieve feedback seamlessly from Claude or Cursor. This innovative platform is securely hosted in the cloud, ensuring flexibility and accessibility for all users.

Mistral Medium 3.5 stands out as a premier 128B dense model that integrates instruction-following, logical reasoning, and coding capabilities into a unified framework. Featuring a remarkable 256K context window, it allows for adjustable reasoning effort and supports multimodal input, showcasing robust agentic functionalities, particularly suited for long-duration tasks that necessitate dependable multi-tool utilization and structured results. This innovative model fuels remote agents within Mistral Vibe, enabling coding tasks to be executed in the cloud, autonomously addressing lengthy assignments, and managing several sessions simultaneously. Users have the flexibility to initiate agents through the Vibe CLI or Le Chat, ensuring that local command-line interface sessions can transition to the cloud without losing history, task status, or approvals. As work unfolds, users can monitor file changes, tool interactions, progress updates, and queries. Each coding endeavor operates within a distinct sandbox, adeptly managing module refactors, generating tests, upgrading dependencies, conducting CI investigations, and resolving bugs, ultimately culminating in the creation of a GitHub pull request for assessment. This model represents a significant advancement in how complex coding tasks are approached and handled in a collaborative environment.

ActiveLens serves as an intelligent interface for teams engaged in phone communications, seamlessly recording calls and meetings, responding to inquiries from corporate documents in real-time, transforming spoken dialogue into actionable tasks, and updating the CRM accordingly. It is compatible with various communication mediums, including traditional desk phones, mobile devices, softphones, online meetings, and face-to-face interactions, all without necessitating a complete overhaul of existing phone systems or the involvement of a bot. The system captures audio directly on the device, facilitating consistent workflows across diverse dialing systems and communication platforms. Conversations are synthesized into organized summaries that encompass participant details, meeting objectives, client context, discussion points, and agreements reached, with customizable templates that dictate the summary's length, tone, structure, and AI parameters. In addition to full transcripts that identify speakers and offer line-by-line translations, it can leverage company resources and online content to clarify products, terminology, and industry jargon during discussions, thereby enhancing understanding and communication efficiency. This innovative approach empowers teams to focus on the conversation at hand while maintaining a comprehensive record of their interactions.

Ayven serves as an AI-based coordinator that aids teams in streamlining their efforts by communicating with individuals who possess the necessary answers, relaying information throughout the group, verifying task completion, and adhering to scheduled plans. It operates within platforms like Slack and Microsoft Teams and integrates with various tools including Jira, Asana, Google Drive, Notion, SharePoint, YouTrack, and GitHub. Teams provide Ayven with specific outcomes, and she diligently tracks progress across individuals and systems, reaching out to those whose contributions are essential and flagging overdue tasks. When progress halts, she inquires about the obstacles; if existing solutions are found in code, documents, tickets, or prior conversations, she consults those resources prior to reaching out to team members. Any work that she cannot resolve independently can be transformed into a ticket, assigning an owner and due date after obtaining consent, and she monitors these tasks until they are marked as completed. Moreover, Ayven ensures that plans remain up-to-date over time, identifies discrepancies among systems, and directs decisions to the appropriate individuals instead of simply broadcasting every inquiry, ultimately enhancing team efficiency and collaboration. By doing so, she fosters a more organized and effective working environment for teams to thrive.

Lynkk serves as an AI-powered assistant designed to facilitate meetings for both individuals and teams by capturing online discussions and face-to-face interactions, subsequently generating transcripts, summaries, decisions, and outlining action items complete with assigned owners and deadlines. Users benefit from the ability to search through archived conversations and pose inquiries that refer back to specific moments in the discussions, which greatly aids in preparing for future calls and maintaining contextual awareness. During meetings, Lynkk offers real-time transcription and assistance, enhancing the overall experience. The platform provides recording capabilities through its web application, Chrome extension, and Mac software, while seamlessly integrating with Google Calendar, Slack, and Jira to streamline meeting organization and task management. Additionally, Lynkk boasts multilingual transcription support that encompasses a wide range of languages, including Hindi, English, Spanish, French, German, Portuguese, Italian, Dutch, Japanese, Chinese, Korean, Arabic, Russian, and is currently in beta for Tamil, Telugu, Marathi, and Bengali. Users can take advantage of a complimentary plan, with the option to upgrade to a paid Pro plan for access to more advanced features, making it a versatile tool for diverse teams. This comprehensive approach ensures that all aspects of meeting management are efficiently handled, promoting productivity and collaboration across various languages and platforms.

EvidentHarbour is a comprehensive cloud-based governance, risk, and compliance (GRC) platform tailored for small and medium-sized enterprises (SMEs), consultants, managed service providers, and organizations involved in assurance activities. It consolidates various functions such as policy management, a risk register, controls, evidence requests, internal audits, corrective actions, and reporting all within a single workspace. Teams can effortlessly align controls and evidence across multiple frameworks, including ISO 27001, ISO 9001, ISO 42001, ISO 20000-1, SOC 2, GDPR, PCI DSS, and Cyber Essentials. The platform facilitates not only certification preparation and framework maintenance but also supplier and customer assurance, security questionnaire responses, and the management of multiple clients through distinct consultant workspaces. Additionally, it offers shareable trust profiles and incorporates AI-assisted policy drafting, enabling users to review and finalize drafts before they are securely saved. Furthermore, optional implementation and advisory services complement the software, enhancing its overall utility for users. This comprehensive approach ensures that organizations can navigate their GRC needs efficiently and effectively.

Rippit is a platform designed for conversation data that transforms customer interactions from various sources, including helpdesks, sales calls, and meetings, into organized and searchable information. Teams involved in customer experience, support, product development, sales, and operations can leverage natural language processing and reusable AI agents to uncover insights related to contact reasons, product evaluations, signs of churn, quality challenges, compliance issues, and problems with chatbots or AI agents. By enhancing conversation records with information such as intent, sentiment, resolution, and root causes, the platform enables teams to identify trends and link their discoveries back to the original conversations. Additionally, teams can automate their analyses with Agent Apps, ensuring that insights are delivered consistently, and they can integrate external assistants via Rippit’s hosted Model Context Protocol server. This capability significantly aids organizations in comprehensively analyzing customer communications and effectively integrating the insights into their operational workflows, ultimately improving overall service delivery.

BreachLine is a comprehensive security testing platform that utilizes Nebula, an AI-powered security engineer, to assist teams in various stages of security assessments, including scoping, planning, executing tests, identifying vulnerabilities, analyzing findings, providing remediation advice, generating reports, and conducting follow-up tests. The platform is versatile, enabling testing across multiple environments such as web applications, APIs, mobile applications, cloud infrastructures, networks, and AI systems, and features collaborative workspaces, scheduled tasks, and seamless integrations with communication and issue-tracking platforms. Users can engage with the service through a credit-based system, which includes monthly subscription plans and an enterprise per-seat pricing option. Additionally, BreachLine provides a distinct suite of 16 complimentary browser security tools that require no sign-up, allowing users to assess dependencies, compare lockfiles and SBOMs, and evaluate CI workflows and application settings. The tools perform deterministic checks directly in the browser, while hosted MCP reviews analyze submitted content on BreachLine's servers. This dual approach ensures both immediate and thorough security evaluations for users.