Frequently Asked Questions

What makes NSigma different from other Data Science, AI/ML consultancies?

  • Bespoke Solutions: Every solution is fully tailored to your business needs—no templates, no shortcuts.
  • Unmatched Flexibility: We integrate seamlessly with any legacy system you may have, any cloud provider (AWS, Azure, GCP), or infrastructure, ensuring compatibility and scalability without disruption.
  • Security First: As ISO 27001-certified, we prioritize data security and compliance, adhering to the highest global standards regardless if GDPR, CCPA or SEC guidelines.
  • End-to-End Capabilities: We provide comprehensive solutions spanning the entire lifecycle—from data and AI strategy to building robust infrastructure, implementing advanced analytics, creating impactful visualizations, and ensuring seamless operationalization.

Do you specialize in any particular industries, or can your solutions work universally?

While our expertise is strongest in industries like investment management, we have a long history in a wide range of sectors, such as auto, aerospace, industrial manufacturing, and real estate. Our modular approach allows us to address challenges across various sectors. We tailor solutions to each client's unique operational and strategic needs.

How does NSigma ensure that machine learning models remain accurate over time?

We employ MLOps best practices, including continuous monitoring for model performance, automatic retraining when data changes, and robust validation techniques to prevent overfitting. This ensures that models stay accurate and relevant even as your data evolves. Machine Learning is where we push the boundaries of what's possible, employing multiple Ph. Ds in Machine Learning, Quantitative Finance, and Advanced Statistics/Logic.

Do you offer proof of concept or pilot projects?

Yes, we often recommend starting with a pilot project or proof of concept (PoC) to demonstrate value and ensure alignment with your needs. This allows you to evaluate our capabilities and the potential impact of a full implementation with minimal initial investment. After PoC you will be presented with a detailed roadmap to a Minimum Viable Product (MVP) and/or fully commercialized solution

Can NSigma’s solutions work if we have no existing data infrastructure in place?

Yes, we specialize in building data infrastructure from the ground up. Whether you need a data lake, real-time ingestion pipelines, or structured repositories for reporting, we can design and implement a solution tailored to your needs. Our focus is on creating scalable, future-ready architectures that grow with your business.

How scalable are NSigma’s solutions?

NSigma’s solutions are built for scalability through a modular, cloud-native, and decoupled architecture. Each component—whether data pipelines, machine learning models, or visualization tools—can be independently scaled to handle growing data volumes, user demands, or evolving business needs. Leveraging platforms like AWS, Azure, and Snowflake, we enable dynamic resource allocation and seamless integration with your existing systems.

Our use of microservices and serverless technologies ensures real-time performance without overhauling entire workflows. This approach allows businesses to start small and expand effortlessly with future-ready solutions. No matter what the changing requirements may be - scaling data processing, onboarding new users, or adding capabilities, NSigma’s solutions grow with your business.

What level of involvement does NSigma expect from our team during a project?

Your level of involvement is entirely up to you. Some clients prefer to stay hands-on, participating in bi-weekly updates and contributing directly to decision-making. Others take a more hands-off approach, trusting us to handle the details while keeping them informed through regular progress reports. Either way, we’ll adapt to your preferred level of collaboration.

How do you measure the success of a project?

Success is always tied to measurable outcomes. For every project, we define key performance indicators (KPIs) at the outset, such as improved efficiency, revenue growth, cost reduction, or predictive accuracy. We monitor these KPIs throughout the project to ensure the solution delivers real business value.

Do you provide ongoing support after implementation?

Yes, we offer flexible support arrangements based on your needs. This includes:

- Regular system maintenance and updates

- Performance monitoring and optimization

- Model retraining and calibration

- Technical support and troubleshooting

- Training for your team members

- Regular review meetings and performance reports