AlisQI
AlisQI is a quality management platform for process and batch manufacturers who want to bring more structure, visibility, and control to their operations, without turning quality into a separate administrative burden.
Many quality systems focus on documents and events after the fact. AlisQI takes a different approach by connecting quality, lab, and production data into a shared operational context. This makes it easier for teams to understand what is happening in real time, identify emerging issues, and respond before problems escalate.
The platform consists of a set of modular quality capabilities, covering areas such as document control, training management, deviations, CAPA, audits, risk management, supplier quality, statistical process control, and EHS. These modules are combined into ready-to-use solutions, called Solvers, that address specific quality and operational challenges in day-to-day manufacturing.
Solvers are designed to work from the start and adapt as products, processes, or sites evolve. Changes can be made without custom development, external consultants, or disruptive IT projects, allowing manufacturers to improve continuously while staying compliant by default.
AlisQI is used by manufacturing companies across multiple industries to reduce firefighting, improve consistency across sites, and support stable, predictable operations.
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Pipefy
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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Solver SDK
Easily integrate optimization and simulation models into your desktop, web, or mobile applications by leveraging consistent high-level objects such as Problem, Solver, Variable, and Function, along with their collections, properties, and methods that span multiple programming languages. This consistency is enhanced by a standardized object-oriented API that clients can access remotely through Web Services WS-* standards, catering to languages like PHP, JavaScript, and C#. Moreover, procedural languages can conveniently execute traditional calls that align well with the object-oriented API's properties and methods. The array of optimization techniques offered includes linear and quadratic programming, mixed-integer programming, smooth nonlinear optimization, as well as global optimization and non-smooth evolutionary and tabu search techniques. In addition, you can seamlessly incorporate top-notch optimization tools from Gurobi™, XPRESS™, and MOSEK™ for linear, quadratic, and conic models, as well as KNITRO™, SQP, and GRG methods for addressing nonlinear challenges, all within the Solver SDK framework. The ability to generate a sparse DoubleMatrix object with an impressive scale of 1 million rows and columns simplifies the management of extensive datasets. This adaptability in creating and optimizing complex problems empowers developers to craft solutions that are not only efficient but also finely tuned to the unique requirements of their applications, thereby enhancing overall productivity.
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RASON
RASON, which is an acronym for RESTful Analytic Solver Object Notation, functions as an advanced modeling language and analytics framework that employs JSON and is reachable via a REST API, facilitating the easy development, testing, resolution, and deployment of decision services that incorporate sophisticated analytic models directly within applications. This adaptable tool empowers users to define optimization, simulation, forecasting, machine learning, and business rules or decision tables using a high-level language that integrates effortlessly with JavaScript and RESTful workflows, thus allowing the incorporation of analytic models into both web and mobile platforms while supporting scalability in cloud infrastructures. RASON boasts a wide array of analytic functionalities, enabling it to perform linear and mixed-integer optimization, convex and nonlinear programming, and Monte Carlo simulations with diverse distributions, alongside stochastic programming techniques and predictive models that include regression, clustering, neural networks, and ensemble methods. Additionally, it supports DMN-compliant decision tables, which are crucial for implementing efficient business logic. Given its extensive capabilities, RASON stands out as a vital asset for organizations aiming to improve their decision-making processes through high-level analytics. As companies increasingly recognize the importance of data-driven decisions, RASON becomes an indispensable tool in their strategic arsenal.
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