Viktor
Viktor is an AI-powered coworker built to live natively inside Slack and handle complex tasks autonomously. Equipped with its own cloud computer, Viktor can write and execute code, build and deploy applications, analyze metrics, and manage workflows across more than 3,000 integrated tools. It proactively monitors systems, flags issues, and suggests actionable next steps instead of simply responding to prompts. Teams can request reports, create tickets, audit marketing campaigns, or retrieve analytics directly within Slack conversations. Viktor maintains persistent context over long-running projects, coordinating tasks and deadlines across multiple weeks. It connects seamlessly to platforms like Linear, PostHog, Google Ads, and other business tools to automate cross-functional operations. The agent drafts artifacts such as documents, issues, and updates for approval before execution. With both free and enterprise plans, Viktor scales to match team workload and automation needs. Security and workspace controls ensure safe collaboration within organizational environments. By combining autonomy, integrations, and persistent context, Viktor acts as a highly capable digital teammate embedded in daily workflows.
Learn more
Banker's Dashboard
Access your bank's or credit union's financial performance from anywhere, anytime. Secure, cloud-based access gives you insight into your bank's financial performance. With a few clicks, you can access margin components, branch performance, forecasts, and more. The Banker's Dashboard and Credit Union Dashboard integrate seamlessly with your core processor. Easy setup allows you to immediately improve your bottom line. Automate reporting and eliminate errors so you can focus on higher-value tasks. Multiple forecast scenarios can be quickly run and revised, allowing you to analyze variances and other strategies. Compare branch performance. For better results, institute best practices and hold branches accountable.
Learn more
RabbitHoles AI
RabbitHoles AI is a platform designed for engaging in AI-driven discussions on a boundless canvas, where each conversation represents a distinct node. Users can link multiple discussions to maintain context while integrating various data sources, including PDFs and YouTube videos.
Key Features:
- Connected Conversations: Engage in various chats with AI simultaneously on the same canvas.
- Limitless Canvases: Users can generate as many canvases as they desire.
- Access to Advanced Models: Interact with leading LLMs such as ChatGPT, Claude, Perplexity, Gemini, and Grok (xAI).
Benefits:
- Context Preservation: The branching nature of conversations allows users to manage the dialogue's length, ensuring that context is retained.
- Interactive Learning: The whiteboard-style canvas facilitates quicker learning and research.
- Non-linear Interaction: Since human thought processes are not linear, our chatbots are designed to reflect that non-linearity in conversations.
Use Case:
Experienced AI enthusiasts can maximize their interactions by engaging in extensive explorative dialogues with various AI models on an infinite canvas, thereby enhancing their understanding and insights. This innovative approach fosters deeper intellectual engagement and creativity.
Learn more
Entire
Entire serves as a developer platform that seamlessly integrates with your Git workflow to document and retain AI agent sessions alongside your code, ensuring that the context of AI-driven development remains clear, easily searchable, and readily shareable. Whenever a commit is made, Entire’s command-line interface connects with Git to automatically capture detailed session data, such as transcripts, prompts, modified files, token usage, and tool interactions, creating versioned checkpoints that are directly linked to Git commits, which aids developers in comprehending the rationale and process behind AI-generated code. These checkpoints are treated as essential, long-lasting data stored in dedicated Git branches, allowing team members to examine AI interactions during code reviews, revisit decision-making contexts, trace development history, and enhance collaboration. Entire’s system guarantees that AI sessions do not merely exist transiently but become integral to the project's source context, making them searchable and understandable through tools designed to help teams rewind, evaluate, and share their workflows in the same manner they manage their code. This innovative approach not only fosters better communication among team members but also elevates the overall quality of the development process by maintaining a clear lineage of AI contributions.
Learn more
