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.
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Chainstack's APIs and software are used by thousands of businesses, large and small, to build, scale, and maintain blockchain applications. To ensure your security and control, Chainstack's APIs offer secure node connections and key security best practices. Invite other members to join your network and deploy their infrastructure using simple network management tools. You can build and deploy the blockchain protocol that suits your needs. The protocol will never be updated or modified again. Chainstack's managed services for blockchain make it easy to launch, join, and scale decentralized networks. You can now safely experiment with enterprise-grade tools and services and then run production. Continuously monitor and provision your resources.
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Flowacts
Flowacts serves as a collaborative AI platform where users, both individually and in teams, can engage in projects alongside AI while maintaining context through private chat threads. It transforms prompts into dynamic workspaces where various elements such as sources, notes, AI outputs, claims, branches, decisions, and conclusions are visually interlinked, allowing for easy navigation from research to final conclusions. Rather than needing to rewrite prompts to reestablish context, teams can choose any node, branch, or result as a starting point for subsequent actions. In this system, a source can evolve into a summary, a summary can transform into a table, and a research branch can be developed into slides or a final report, all while each new creation remains connected to the original context. Flowacts accommodates a variety of formats, including documents, tables, slides, mind maps, charts, flowcharts, timelines, images, research maps, strategic plans, and multi-stage project canvases. Every generated output is modifiable, enabling users to enhance blocks, regenerate specific sections, rearrange the overall structure, or continue expanding their projects effortlessly. As a result, Flowacts not only streamlines collaboration but also enhances the overall efficiency of the creative process.
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MiniMax M3
MiniMax M3 is a frontier open-weight AI model built for coding, agentic work, multimodal understanding, and ultra-long-context tasks. The model supports up to a 1 million token context window, allowing it to work across large codebases, long documents, logs, project histories, and complex task environments. MiniMax M3 introduces MiniMax Sparse Attention, a sparse attention architecture designed to make long-context processing more efficient. The model is natively multimodal, with training that supports deeper semantic fusion across text, image, and video inputs. It is designed to support software engineering tasks, repository analysis, terminal-style work, browser-style retrieval, tool use, and autonomous workflows. MiniMax M3 has a mixture-of-experts architecture with hundreds of billions of total parameters and a smaller activated parameter count for more efficient inference. Developers can use it for AI coding assistants, workflow automation, research agents, document analysis, visual reasoning, and enterprise AI systems. Its long-context capability makes it especially useful when tasks require many files, references, instructions, or interaction histories to stay available at once. MiniMax M3 helps teams build more capable AI agents that can understand larger problems, work across multiple modalities, and execute complex tasks with stronger context awareness.
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