Details
| Founded: | 2016 |
|---|---|
| Hourly Rates: | $50 - $99 |
| Employees: | 10 - 49 |
| Avg. Project Cost: | $5,000,000+ |
Industries Served
Automotive
Environmental Services
Nonprofit & NGO
Real Estate
Retail & E-commerce
Travel & Hospitality
About
Sigmoidal is an award-winning machine learning and data science team of consultants based in New York. They want individuals to excel in their niches, automating most tasks and giving them an opportunity to be creative. They provide consulting on the right approach to leverage AI, tailored to every customer’s demands. Their collective experience from the world's biggest tech and consulting firms gives us the edge to tackle the most challenging projects.
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FAQ
Frequently Asked Questions
Got questions about our specialized technology solutions? We have the answers to help you make informed decisions.
Sigmoidal typically covers the standard range of software development work — mobile apps, web platforms, custom internal tools, UI/UX design, cloud infrastructure, AI integrations, and larger enterprise builds. Its core focus areas include AI Development and Big Data.
What Sigmoidal charges comes down to a handful of variables — how complex the project is, the number of development hours involved, the tech stack required, team size, and which engagement model you pick. Based on available data, Sigmoidal's typical hourly rate is around $50 - $99.
Sigmoidal has delivered projects across a range of different industries, including Financial Services, Sports & Fitness, Automotive, Environmental Services, Information Technology and Aerospace & Defense.
The exact stack shifts by project, but Sigmoidal commonly works across things like React, Angular, Vue.js, Node.js, Python, .NET, Java, PHP, Flutter, React Native, native iOS and Android, and cloud platforms like AWS and Azure. For context, its listed capabilities span AI Development and Big Data, and it reports a team size of 10 - 49 professionals.
It depends heavily on scope. A lean MVP might be a matter of weeks, while a full enterprise system or a larger digital transformation project can stretch into months once you factor in development, testing, and deployment. With a team of 10 - 49 professionals, Sigmoidal can scale resources based on project urgency.
Like most established software teams, Sigmoidal typically sticks around post-launch for ongoing maintenance — bug fixes, performance tuning, security patching, new feature work, and general technical support. For context, its listed capabilities span AI Development and Big Data, and it reports a team size of 10 - 49 professionals.
When you're weighing up a software partner such as Sigmoidal, it's worth looking past the pitch and checking the portfolio, what past clients say, relevant industry background, technical range, how they communicate, pricing structure, project management style, and what support looks like after launch. For context, its listed capabilities span AI Development and Big Data, and its typical hourly rate is around $50 - $99.
That depends on where Sigmoidal is based and who they primarily serve — some firms like this operate fully offshore, some are local-first, and plenty run a hybrid model that mixes both. For context, its listed capabilities span AI Development and Big Data, and it has experience across industries such as Financial Services, Sports & Fitness, Automotive, Environmental Services, Information Technology and Aerospace & Defense.
Plenty of modern software teams, Sigmoidal included, now build real AI and machine learning features — chatbots, predictive models, computer vision, and automation that goes beyond simple rule-based scripts. For context, it has experience across industries such as Financial Services, Sports & Fitness, Automotive, Environmental Services, Information Technology and Aerospace & Defense, and its typical hourly rate is around $50 - $99.
Sigmoidal generally runs something close to a standard structured process — requirements gathering, UI/UX design, development in agile sprints, QA testing along the way, deployment, and support once it's live. For context, its listed capabilities span AI Development and Big Data, and it has experience across industries such as Financial Services, Sports & Fitness, Automotive, Environmental Services, Information Technology and Aerospace & Defense.
