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Setuply VS NumPy

Compare Setuply VS NumPy and see what are their differences

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Setuply logo Setuply

Setuply: Transform Clients into Brand Advocates. An AI-powered, purpose-built platform for client onboarding and lifecycle management, helping B2B teams accelerate revenue recognition, boost retention, and scale operations with confidence.
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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Setuply Setuply Leadership Dashboard
    Setuply Leadership Dashboard //
    2025-04-24
  • Setuply Setuply Consultant Dashboard
    Setuply Consultant Dashboard //
    2025-04-24
  • Setuply Setuply My Tasks View
    Setuply My Tasks View //
    2025-04-24
  • Setuply Setuply Project Dashboard
    Setuply Project Dashboard //
    2025-04-24
  • Setuply Setuply Client Portal
    Setuply Client Portal //
    2025-04-24

Setuply is an AI-powered, purpose-built platform for client onboarding and lifecycle management. Designed for B2B service providers, Setuply helps teams streamline complex, cross-functional workflows—from onboarding and implementation to ongoing service and support—while maintaining consistency, visibility, and control at scale.

The platform unifies project management, case management, secure data staging, configurable forms and surveys, and integrated client communications—replacing siloed tools and disconnected processes with a single, structured system.

Powered by agentic AI and a built-in machine learning engine, Setuply intelligently guides tasks, decisions, and follow-ups across internal teams and external stakeholders. This reduces delays, eliminates manual busywork, and ensures clients are supported with clarity from day one.

Setuply integrates seamlessly into existing tech stacks—connecting to CRMs, ERP/accounting systems, and proprietary applications—to deliver a connected, end-to-end client experience that extends across sales, operations, finance, and support.

B2B providers using Setuply have seen measurable results, including: 300% improvement in client response times 2x increase in delivery capacity Over 30% reduction in onboarding timelines Full elimination of onboarding backlogs —all without increasing headcount. Setuply provides the structure, automation, and insight needed to transform client journeys into scalable, repeatable growth—regardless of complexity, volume, or industry.

  • NumPy Landing page
    Landing page //
    2023-05-13

Setuply

$ Details
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Platforms
Salesforce Hubspot Asana Smartsheet Microsoft Teams Google Suite Acumatica NetSuite QuickBooks
Release Date
2022 July
Startup details
Country
United States
State
NH
City
Portsmouth
Founder(s)
Rachel Lyubovitzky
Employees
20 - 49

Setuply features and specs

  • Project Management
    Setuply’s Project Management capability is purpose-built for the complexity of client-facing work. It brings structure to onboarding and service delivery by combining intelligent task flows, dynamic timelines, and embedded collaboration—ensuring teams stay aligned and clients stay informed. Whether launching a new client or rolling out an additional service, Setuply allows teams to configure projects with built-in templates, risk management, and milestone tracking, while its AI-driven SmartTasks proactively manage dependencies and surface bottlenecks. The result is predictable delivery, better visibility for all stakeholders, and the operational efficiency needed to scale—without relying on disconnected tools or manual workarounds.
  • Case Management
    Setuply’s Case Management is purpose-built to support client-facing service teams with the structure and visibility they need to manage ongoing work, requests, and issues—long after onboarding is complete. Unlike traditional ticketing systems, Setuply offers a more intelligent, client-centric approach by organizing requests into meaningful case types tied to specific client outcomes, compliance needs, or service objectives. Built-in automation, priority handling, and dynamic routing ensure nothing falls through the cracks, while embedded collaboration tools make it easy for internal teams and clients to stay aligned in real time. Integrated with Setuply’s broader onboarding and project workflows, Case Management ensures continuity, transparency, and faster resolution—driving client satisfaction and operational scale.
  • Secure Data Staging
    Setuply’s Secure Data Staging gives service teams a safe, structured way to collect, review, and act on sensitive client data—without relying on risky email threads, shared drives, or unsecured spreadsheets. The platform provides a controlled environment where data can be uploaded, validated, and transformed before it ever reaches production systems. With customizable templates, granular permissions, and built-in audit trails, Setuply ensures that both teams and clients stay aligned on what’s needed, what’s missing, and what’s ready for handoff. This creates clarity, reduces rework, and protects data integrity at every stage of the onboarding and service lifecycle. Unlike generic file sharing or ticketing tools, Setuply offers a purpose-built, end-to-end approach to data management that’s uniquely suited to the complexity of B2B service delivery.
  • Client Impact Control Panel
    Setuply’s Client Impact Control Panel brings unprecedented transparency to the client experience—making it easy for B2B providers to share progress, surface blockers, and align stakeholders in real time. Instead of relying on ad hoc status updates or fragmented email threads, clients get a clear, consolidated view of where things stand, what’s needed, and what’s next. Internally, teams gain actionable insights into service health, client engagement, and potential risks—so they can be proactive rather than reactive. This level of visibility strengthens trust, improves collaboration, and reduces the back-and-forth that slows down momentum. It’s a modern approach to client communication—purpose-built for long-term relationships and complex service delivery.
  • Forms and Questionnaires
    Setuply’s Forms and Questionnaires module empowers teams to gather structured, actionable information from clients with maximum flexibility and minimal friction. Users can create any number of dynamic forms, guided questionnaires, or onboarding wizards—complete with conditional logic, digital signatures, and secure collaboration. Whether it’s collecting implementation details, compliance documentation, or service preferences, Setuply transforms static data collection into an interactive, trackable experience. Inputs can be mapped into tabular formats for easy review and reuse, and forms can be assigned, collaborated on, and monitored in real time. It’s everything B2B service teams need to collect the right data, from the right people, at the right time—without the endless email threads or spreadsheet chaos.
  • Surveys
    Setuply’s built-in survey capabilities make it easy to capture client feedback at every stage of the journey—from onboarding to ongoing service and renewal. Teams can create custom surveys to assess satisfaction, gather insights, or track key metrics, with flexible question types, branding options, and automated delivery. Surveys can be triggered based on project milestones, service events, or timeline intervals, ensuring feedback is timely and relevant. Results are centralized and actionable—helping teams identify patterns, address issues early, and continuously improve the client experience. With Setuply, collecting feedback isn’t a disconnected task—it’s part of a larger, integrated effort to turn clients into long-term advocates.
  • Centralized Communications
    Setuply centralizes all client communications—emails, updates, and action items—into a single, secure, and trackable workspace. With built-in secure email functionality, messages are not only encrypted but fully routable within the platform, ensuring the right stakeholders are looped in and that no task or response falls through the cracks. Action items can be tied directly to communications, so follow-ups are clear and progress is visible. Unlike disconnected inboxes or fragmented tools, Setuply maintains a complete record of every exchange—organized by client, project, or case—providing transparency and continuity across every stage of the client lifecycle. It’s the modern way to manage communications: secure, contextual, and built for scale.
  • Connected Experiences
    Setuply delivers connected experiences by integrating seamlessly with the tools B2B providers already rely on—CRMs, ERPs, accounting platforms, proprietary systems, and more. These deep integrations eliminate manual data entry, reduce silos, and ensure a smooth flow of information across every stage of the client journey. Whether syncing deal data from the sales pipeline, updating billing systems post-launch, or feeding project outcomes into customer success platforms, Setuply acts as a bridge across departments and workflows. The result is a unified, real-time view of client activity that empowers teams to act faster, collaborate better, and deliver with confidence. In a world of disconnected point solutions, Setuply stands apart by offering true end-to-end visibility and operational alignment.
  • ML and Agentic AI
    Setuply leverages built-in machine learning and agentic AI to drive smarter, more proactive client delivery. The platform doesn’t just track tasks—it learns from them, predicting timelines, flagging risks, and recommending next steps based on historical patterns and real-time activity. Its agentic AI engine goes a step further by autonomously guiding workflows, surfacing dependencies, and nudging both internal teams and clients toward timely, coordinated action. This reduces delays, eliminates busywork, and creates a more seamless experience without the need for micromanagement. Setuply’s intelligence is embedded throughout the platform—so every project, case, and communication benefits from the system’s evolving insight.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Setuply videos

Experience Onboarding World 2024 | October 2-4 in Boston | Setuply

More videos:

  • Review - Join Setuply's Onboarding World 2024 in Boston | October 2-4 | Transform Your Client Onboarding
  • Review - Make Meaningful Connections at Onboarding World 2024 | October 2-4 in Boston | Setuply

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Setuply and NumPy)
Project Management
100 100%
0% 0
Data Science And Machine Learning
Task Management
100 100%
0% 0
Data Science Tools
0 0%
100% 100

Questions and Answers

As answered by people managing Setuply and NumPy.

Who are some of the biggest customers of your product?

Setuply's answer

Technology companies (solution providers): Client adoption of software or technological solutions often comes with a complex onboarding process where Setuply can be instrumental. The platform provides an organized, transparent view that keeps sales teams engaged and informed while ensuring clients can successfully adopt and use the solution. Meanwhile, customer support reps have insights into the entire onboarding journey, better equipping them to anticipate and address questions and concerns as clients transition to using the technology.

Consulting or implementation providers: Often tasked with guiding clients through the maze of adopting new systems, processes, or solutions, Setuply is an indispensable tool for consulting and implementation firms. Through a central hub, they can maintain transparent communication, manage project timelines, handle change requests, and ensure a seamless transition for clients. Leaders and managers, meanwhile, can use Setuply to monitor team activities, identify bottlenecks, and ensure projects align with broader business objectives.

Why should a person choose your product over its competitors?

Setuply's answer

Why choose Setuply over other platforms? Because Setuply is purpose-built for the complexity of B2B client onboarding and service delivery, while most alternatives are either general-purpose project tools or legacy systems that force teams into rigid, disconnected workflows.

Unlike competitors, Setuply combines project management, case tracking, secure data staging, forms, surveys, communications, and AI-powered guidance into a single, unified platform. It’s not just about managing tasks—it’s about transforming how client work gets done across teams and touchpoints.

With Setuply, you get: A platform built for client-facing workflows (not retrofitted for them) Embedded agentic AI and machine learning to reduce manual work and drive outcomes Seamless integrations with your existing systems (CRMs, ERPs, proprietary apps) Structured transparency that builds trust and alignment with clients Proven impact: Clients see faster onboarding, higher capacity, and stronger retention—without adding headcount Setuply doesn’t just help deliver. It helps scale, evolve, and turn every client into a long-term advocate.

Which are the primary technologies used for building your product?

Setuply's answer

Setuply is built using a modern, scalable technology stack designed for performance, flexibility, and intelligence. At its core, Setuply leverages Java for backend stability and enterprise-grade scalability, Python for AI/ML-driven logic and data processing, and integrates with OpenAI to power its agentic AI features, enabling smarter task routing, predictive workflows, and contextual automation throughout the platform. The architecture supports seamless integration with external systems (like CRMs, ERPs, and custom tools), and is designed for extensibility to support evolving client needs and complex service environments.

What makes your product unique?

Setuply's answer

What makes Setuply unique? Setuply is the only AI-powered platform purpose-built to manage the full client lifecycle—from onboarding to ongoing service delivery—within complex B2B environments.

Unlike generic project tools, CRMs, or support systems retrofitted for onboarding, Setuply offers a unified, client-centric workspace that brings together project management, case tracking, secure data handling, custom forms and surveys, and integrated communications—all in one place.

What truly sets Setuply apart: 🔁 End-to-end structure for managing onboarding and service delivery at scale 🤖 Embedded agentic AI and machine learning that automate, guide, and optimize workflows in real time 🔐 Secure, centralized communication and data staging designed for sensitive client information 🔗 Rich integrations with CRMs, ERPs, accounting systems, and proprietary apps—ensuring alignment across the entire client journey 📈 Proven outcomes: Clients have seen 2x delivery capacity, 30% faster project timelines, and zero backlog—without increasing headcount

Setuply is the operational foundation that allows B2B service teams to deliver consistently, scale efficiently, and turn onboarding into a strategic advantage.

How would you describe your primary audience?

Setuply's answer

Setuply is built for operations-driven B2B organizations that deliver complex, high-touch services, especially in industries where onboarding is critical to client success and long-term value.

Our core audience includes: COOs and operational leaders aiming to scale delivery without growing headcount Client onboarding and implementation teams managing cross-functional, multi-phase rollouts Customer success and service leaders focused on retention, satisfaction, and lifecycle value CFOs and growth executives seeking faster revenue recognition, improved margins, and stronger ROI on service delivery

We’re focused on serving companies in highly regulated, compliance-driven, or integration-heavy industries, where onboarding and ongoing service delivery are complex and strategic: Human Capital Management (HCM) Benefits Administration (Benetech) Financial Technology (Fintech) Regulatory Technology (Regtech) Professional Services Payroll & Workforce Management Platforms Managed Services Providers (MSPs)

These organizations often face fragmented tools, manual processes, and inconsistent client experiences. Setuply provides the structure, automation, and visibility needed to scale efficiently and deliver better outcomes, without chaos.

What's the story behind your product?

Setuply's answer

The Story Behind Setuply

Setuply was born out of firsthand experience with a frustrating reality: even in the most sophisticated B2B organizations, client onboarding and service delivery are still painfully manual. Despite operating in a digital-first world, teams continue to rely on spreadsheets, disconnected tools, and tribal knowledge to manage complex onboarding processes that often drag on for months, sometimes years.

The result was missed revenue, client churn, operational chaos, and a whole lot of wasted effort.

Setuply was founded to change that. We saw a better way—one rooted in structure, automation, and intelligence. Our platform brings together everything needed to manage the client lifecycle in one place: project management, case tracking, secure data staging, forms, surveys, integrated communications, and deep system integrations—all powered by built-in machine learning and agentic AI.

Setuply doesn’t just digitize onboarding—it transforms it into a scalable, repeatable growth engine. We help B2B providers accelerate revenue recognition, boost retention, and deliver the kind of experience that turns clients into long-term advocates.

We’re on a mission to eliminate the chaos, busywork, and inefficiencies that hold great teams back—and replace them with the structure, clarity, and control they need to scale with confidence.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Setuply and NumPy

Setuply Reviews

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NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 121 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Setuply mentions (0)

We have not tracked any mentions of Setuply yet. Tracking of Setuply recommendations started around Jul 2024.

NumPy mentions (121)

  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…. - Source: dev.to / 14 days ago
  • Your 2025 Roadmap to Becoming an AI Engineer for Free for Vue.js Developers
    AI starts with math and coding. You don’t need a PhD—just high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Python’s syntax is straightforward. - Source: dev.to / about 2 months ago
  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 8 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / about 1 year ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing Setuply and NumPy, you can also consider the following products

Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Wrike - Wrike is a flexible, scalable, and easy-to-use collaborative work management software that helps high-performance teams organize and accomplish their work. Try it now.

OpenCV - OpenCV is the world's biggest computer vision library

Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.