
Pipefy is the Enterprise-Grade Business Orchestration and Automation Technologies (BOAT) platform.
It serves as a central orchestration layer that connects people, AI agents, and legacy systems into a unified operation. While traditional BPM solutions require months of engineering and consulting to deploy, Pipefy is architected to deliver AI-driven results in days. This speed enables IT leaders to solve the "backlog crisis" and modernize operations without the high cost of changing ERPs.
Why Enterprise IT chooses Pipefy:
1. Elimination of Shadow IT: Unsanctioned tools create security risks and data silos. Pipefy’s "Adaptive Governance" model allows IT to set strict guardrails ("Safe Zones"). This empowers business units to build their own workflows—reducing the IT ticket backlog—while Technology teams maintain full visibility and control over data security and architecture.
2. Legacy Modernization (Two-Speed IT): Pipefy extends the capabilities of rigid legacy stacks (Systems of Record). By acting as an agile "System of Engagement" on top of SAP, Oracle, or Mainframes, it allows companies to deploy modern digital experiences and complex process logic without touching the delicate core code.
3. Agentic AI & Automation: The Pipefy Agent Studio moves beyond simple chatbots. It enables the deployment of specialized AI agents capable of executing tasks, reading unstructured documents (IDP), and routing requests based on complex rules. It creates a "Human-in-the-Loop" environment where AI handles the volume, and humans handle the exceptions.
4. Proven Economic Impact: Verified by a Forrester TEI study, Pipefy delivers a 260% ROI and a payback period of less than 6 months. It allows organizations to process high volumes of service requests (HR, Finance, Procurement, CS) with greater accuracy and less manual overhead.
Compliance: SOC2 Type II, ISO 27001, ISO 42001 (AI Management), and SSO (SAML/OIDC) ready.
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kama.ai
kama.ai is a Responsible AI Agent platform that provides organizations with a more accurate, accountable, and safe way to use AI. It supports training, compliance guidance, internal support, customer service, and specialized community needs.
Unlike generic GenAI tools that create answers probabilistically, kama.ai combines deterministic Knowledge Graph AI with governed Generative AI and Trusted Collections. Trusted Collections is a RAG-based technology that helps reduce hallucinations on the generative side while giving AI Agents a reliable source of approved, accurate, and brand-safe information. This solution is a composite technology, specifically called GenAI’s Sober Second Mind™. In this case the sober element is the deterministic AI which guides and orchestrates the AI Agents to ensure hallucinations, and information sourced from nefarious sites, does NOT creep into your data or answers.
kama.ai is designed for situations where answers need to be accurate, traceable, brand-safe, and aligned with approved source material. Human experts and Knowledge Managers can curate content, review AI-generated drafts, manage knowledge domains, and improve responses over time. This creates a governed-in-advance approach to AI, instead of relying on corrections after something has already gone wrong.
kama.ai is especially well suited for knowledge-heavy organizations, training programs, compliance environments, Indigenous and community-focused initiatives, HR support, education, research, and other use cases where trusted and brand-safe information matters.
By focusing on Responsible AI use and delivery, kama.ai helps organizations adopt AI more readily. This improves access to knowledge, reduces repetitive workloads, and provides more consistent support to the people who rely on their expertise.
Think kama.ai for trusted AI, governed knowledge, and answers your organization is willing to stand behind.
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Claude Science
Claude Science is an AI-powered scientific computing application designed to help researchers perform complex analyses, manage computational workflows, and accelerate scientific discovery within a unified research environment. Built as a specialized application powered by Claude models, the platform extends beyond a traditional AI assistant by integrating scientific databases, laboratory systems, electronic lab notebooks, computational tools, and high-performance computing infrastructure into one workflow. Researchers can perform data wrangling, literature searches, statistical analysis, visualization, figure generation, manuscript drafting, and scientific reasoning without constantly switching between multiple applications. Every figure, notebook, table, and analytical result is accompanied by complete provenance information, including the code, computational environment, and AI interactions that produced it, making research fully reproducible and easier to validate over time. Claude Science supports execution across local workstations, Linux servers, GPU infrastructure, and HPC clusters while automatically managing the computational environments required for each project. The platform includes specialized capabilities for genomics, single-cell RNA sequencing, proteomics, structural biology, cheminformatics, evolutionary biology, and numerous other computational life science disciplines. Researchers can connect existing laboratory pipelines, internal APIs, scientific databases, protein models, and custom research infrastructure through extensible connectors without replacing their current software ecosystem. Built-in scientific tools allow users to query dozens of scientific databases, generate publication-ready figures, refine visualizations through natural language, and perform sophisticated analyses using persistent Python and R environments.
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Acade
Acade is a pioneering AI co-scientist that revolutionizes the way initial research questions are transformed into structured and verifiable research methodologies. Its primary function is to support researchers in sifting through existing literature, crafting traceable hypotheses, and designing experiments, while also assisting in the analysis of findings and the creation of a detailed, evidence-based report, all while preserving the authority of the scientist. Designed with a human-in-the-loop framework, Acade enriches the research process, enabling users to search for, evaluate, critique, and document their discoveries without undermining their scientific knowledge. Initially, Acade collects crucial information about the research inquiry, including the relevant field, goals, limitations, associated documents, assumptions, and expected decisions before beginning its assistance. In addition, it skillfully organizes relevant papers, assertions, methodologies, ongoing discussions, and research gaps into a clear and coherent literature map, ensuring the reliability of sourced information. Acade further generates hypothesis cards that help researchers compare evidence against counter-evidence, evaluate novelty, assess feasibility and risk, and ultimately empower them to critically assess potential concepts prior to execution, thereby fostering a more rigorous research atmosphere. This all-encompassing support system not only simplifies the research journey but also promotes diligent analysis and informed decision-making throughout the entire undertaking, making it an invaluable asset for modern researchers. Its ability to adapt to various research needs makes Acade an essential tool for advancing scientific inquiry.
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