Enterprise-Grade Data Science Consulting
Drive Business Success with Machine Learning & AI
Data infrastructure that enables smarter, data-driven strategic
decisions.
Trusted by Leaders in the Industry:
Is Your Data Generating Maximum
Business Value?
Your organization collects massive amounts of data, but:
Fragmented Data Pipeline
make decision-making slow and inefficient.
Scaling AI solutions
Data governance
and compliance risks create unnecessary roadblocks.
AI adoption lags
due to a lack of clear business alignment.
Leadership needs
faster, more accurate insights to stay competitive.
The Biggest Roadblock to Success? Lack of Data Science Infrastructure
Most companies believe hiring data scientists is enough—but here’s what happens:
Data scientists struggle to access and integrate business data because the infrastructure doesn’t exist.
Projects get stuck in prototype mode because machine learning models aren’t deployed into real business environments.
Executives hesitate to invest because they lack a clear roadmap and ROI strategy.
Without the right infrastructure, data strategy, and roadmap, AI initiatives fail to scale, and businesses never see real ROI.
Your Expert Data Science Consulting Team at RTS Labs
At RTS Labs, we provide the missing link—data science infrastructure and strategic execution.
Our data science consulting services are designed to eliminate these barriers, providing custom AI, machine learning, and data analytics solutions.
We guide organizations through the entire data science journey, from building scalable systems to executing strategies to training internal teams.
RTS Labs builds the systems, strategies, and execution plans to make data scalable and impactful.
We provide end-to-end data science consulting, ensuring that your data scientists, engineers, and business teams have the tools, strategy, and infrastructure to succeed.
The result?
Real business outcomes.
Beyond AI Models—We Build the Data Science Infrastructure That Powers Them
Our data science consulting services go beyond basic AI model development. We create the entire foundation for AI success, from data pipelines to scalable machine learning deployment.Here’s how we help enterprises make AI work in the real world:
Machine Learning & AI-Driven Strategy
Data scientists struggle to access and integrate business data because the infrastructure doesn’t exist.
Data Science Infrastructure & Engineering
We build data lakes, ETL pipelines, and cloud architectures that allow your team to access and scale AI models seamlessly.
Complex Algorithm Development
We don’t just use off-the-shelf models—we custom-engineer machine learning algorithms to tackle your toughest challenges.
AI Roadmaps & Execution
We build data lakes, ETL pipelines, and cloud architectures that allow your team to access and scale AI models seamlessly.
Team Enablement & Coaching
We don’t just hand over a system—we train your team to use, refine, and maintain AI models and data science workflows.
Operationalize AI, scale machine learning, and see ROI—without the growing pains.
Case Study
Reducing Policy Review Time for an Insurance CompanyOptimizing Inventory Management Practices for a Fiberglass Company
Our client, a leading manufacturer in the fiberglass industry, faces significant challenges in managing their raw material supply chain. With orders for thousands of containers of raw materials sourced from overseas suppliers and a lead time of approximately six months, accurate demand forecasting is critical. Ineffective forecasting can result in either overstocking or stock shortages, both of which lead to increased costs and operational inefficiencies.
Key result:
30%
25%
20%
Solution
We developed a comprehensive solution that tackled both the demand forecasting and supply chain integration aspects of the problem:
- Multivariate Time-Series Forecasting Model
- Incorporation of External Features
- Six-Month Lead Time Consideration
- Integration with Logistics and Supply Chain
- ERP System Enhancement
Problem
The client’s current forecasting model embedded in their ERP system was failing to provide accurate predictions of customer demand. This often led to two major issues:
- Overstocking: Excess inventory increased storage costs and tied up working capital.
- Shortages: Insufficient raw material availability disrupted production schedules and led to delays in fulfilling customer orders.
Given the complexity of the supply chain—spanning international procurement, multiple warehouses, and intricate manufacturing processes—there was a clear need for a more precise and dynamic forecasting model to ensure efficient inventory management and cost reduction.
See How Our Data Science Consulting Delivers Measurable Results
Healthcare Case Study:
Built an AI-powered predictive analytics model that reduced patient readmission rates by 23%.
Finance Case Study:
Built an AI-powered predictive analytics model that reduced patient readmission rates by 23%.
Retail Case Study:
Manufacturing Case Study:
Built a predictive maintenance system that cut unplanned downtime by 30%, saving millions in operational costs.
What Our Customers Have to Say:
“RTS Labs’ data science consulting team helped us move from AI experimentation to full-scale production. Now, we have the infrastructure to support our data scientists, and our machine learning models are delivering real business impact.”
Who We Serve – Tailored Data Science Consulting for Industry Leaders
Data Science Consulting for CDOs, CTOs & AI Leaders
Our data science consulting services are designed for C-level executives and VP-level leaders in enterprises and high-growth companies in:
1. Finance & Banking
Risk modeling, fraud detection, and real-time transaction monitoring.
2. Real Estate & Construction
Predictive maintenance, cost estimation, supply chain optimization, and safety monitoring
3. Insurance
Risk assessment, claims automation, and customer support automation
4. Logistics & Supply Chain
Predictive maintenance, supply chain optimization, and process automation.
Whether you’re scaling AI for the first time or optimizing an existing AI strategy, we provide custom data science consulting that aligns AI strategies with business goals, ensuring every solution drives scalability, compliance, and efficiency.
Why Top Enterprises Trust RTS Labs for Data Science Consulting?
We Bridge the Gap Between Data & Business Strategy
For over 14 years, RTS Labs has been building and deploying enterprise-scale, enterprise-grade, and enterprise-class solutions. We specialize in data science consulting that drives enterprise impact. With more than 600 satisfied customers and end clients, our portfolio includes some of the biggest names in industries such as Finance & Banking, Insurance, Logistics & Supply Chain, Retail, and beyond.
Our data science consultants help organizations:
Develop AI & ML solutions
that optimize operations, reduce costs, and improve forecasting.
Engineer scalable data
architectures to unify disparate systems and enable real-time analytics.
Implement advanced predictive
& prescriptive analytics to empower strategic decision-making.
Ensure compliance & security
for data privacy regulations like GDPR, CCPA, and HIPAA.
Build AI roadmaps
that accelerate business-wide adoption and drive measurable ROI.
Enterprise data leaders choose RTS Labs because:
Strategic AI Alignment
We don’t just build models; we integrate them into your business vision
Scalability & Performance
Our data science consulting services ensure solutions scale with enterprise demand.
Regulatory Compliance
We integrate GDPR, HIPAA, and CCPA-compliant frameworks into every solution.
Measurable ROI
Our data science consultants focus on business outcomes, not just technology.
Custom Solutions
Every project is designed specifically for your unique data challenges.
With RTS Labs, you gain an end-to-end data science consulting partner that understands the challenges faced by enterprise data leaders and ensures your investments align with business outcomes.
Trusted by Leaders in the Industry:
1. Schedule a Consultation
Schedule a virtual meeting with our experts to explore the feasibility and potential of your project idea.
2. We Assess Your Needs
Our experts identify areas where we can deliver the greatest value.
3. We offer a solution
Receive a detailed project proposal with feasibility and timeline estimates tailored to your needs.
4. You succeed!
After signing the SOW, we assemble a multidisciplinary team to launch your project.
Take the First Step Toward Success.
Take the First Step Toward Success.
Frequently Asked Questions
1. Our company wants to invest in AI and data science, but we don’t know where to start. Can you help?
Yes. Many organizations struggle with defining the first step in their AI and data science journey. Our data science consulting services include creating a custom roadmap that aligns AI investments with business goals, infrastructure, and operational needs. We ensure your data is ready, develop a strategic AI plan, and guide your team through execution to make AI adoption seamless.
2. How does RTS Labs differ from other data science consulting firms?
Unlike many consulting firms that only build AI models, we build the entire data science infrastructure that enables AI to work at scale. We don’t just deliver a machine learning prototype—we ensure your organization has the data pipelines, governance, and cloud systems to make AI a long-term success. Additionally, we train and empower your internal teams so they can manage AI initiatives beyond our engagement.
3. We’ve already hired data scientists, but they aren’t making a business impact. Why?
Hiring data scientists is an essential step, but without the right infrastructure, AI strategies, and execution support, data science teams struggle to drive results. Most data scientists are not data engineers—they need structured, accessible, and well-prepared data to perform their best work. RTS Labs builds that infrastructure, provides AI deployment support, and ensures your data science team has everything they need to be successful.
4. How do we know if our data is ready for AI?
A common challenge for enterprises is siloed, unstructured, or incomplete data that prevents AI success. Our data science consulting services include data engineering, ETL pipeline creation, and data preparation to ensure your organization’s data is AI-ready. We analyze your current data landscape, address gaps and inconsistencies, and build a scalable, cloud-based architecture to enable seamless AI adoption.
5. How do you ensure AI initiatives align with our business goals?
We take a business-first approach to AI, ensuring that every machine learning model, AI initiative, or data-driven strategy directly impacts growth, efficiency, and ROI. We work closely with CDOs, CTOs, VPs of Data, and business executives to define key success metrics, measure performance at every stage, and ensure AI adoption delivers real business impact.
6. How long does it take to implement an AI solution?
The timeline varies based on project complexity, data readiness, and infrastructure needs. However, our phased approach ensures quick wins while also enabling long-term AI scalability. Many of our clients see initial results within a few months, with full-scale AI deployment ranging from 6 to 12 months depending on the scope.
7. What industries do you specialize in?
RTS Labs has extensive experience providing data science consulting for enterprises in:
- Finance & Banking (fraud detection, risk modeling, algorithmic trading)
- Healthcare & Life Sciences (predictive analytics, AI-powered diagnostics, patient risk modeling)
- Retail & E-commerce (AI-driven personalization, demand forecasting, price optimization)
- Manufacturing & Logistics (predictive maintenance, supply chain optimization, AI-driven automation)
If your industry is not listed, reach out to discuss a custom AI strategy tailored to your business needs.
8. Will this disrupt our current operations?
No. Our approach is designed to integrate seamlessly with your existing workflows and IT systems. We ensure minimal disruption by aligning AI initiatives with current business processes and collaborating with internal teams to make implementation smooth. Additionally, our team coaching ensures AI adoption happens gradually with full internal buy-in and support.
9. How do we measure the ROI of AI and data science projects?
Measuring ROI for AI can be challenging, but we take a metrics-driven approach to ensure every AI investment ties back to tangible business outcomes. We work with leadership teams to define key performance indicators (KPIs) such as cost savings, efficiency improvements, revenue growth, and risk reduction. By tracking these metrics, we help you prove the value of AI to internal stakeholders and decision-makers.
10. How do we get started with RTS Labs?
Getting started is easy. Schedule a free strategy call, and our team will assess your current data landscape, discuss your business challenges, and provide actionable recommendations for AI implementation. Whether you need an AI roadmap, data infrastructure, or full-scale machine learning deployment, RTS Labs will help you take the right first step toward AI success.
