Real Time Data Processing Services

Make Informed, Time-Sensitive Decisions That Drive Growth

As a data-driven business, you can’t afford to wait and we get it. That’s why we build low-latency, cloud-native architectures that seamlessly stream, analyze, and visualize high-velocity data, delivering instant insights, automated responses, and fast action.

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Real Time Data Engineering Challenges

Real-Time Data Moves at Lightning Speed. We’ll Help You Keep Up.

When every second matters, you need low-latency, high-performance processing that delivers insights instantly. The best way to help your team analyze, act, and scale without delay is by leveraging real-time streaming architectures.

Batch Processing Is Slowing You Down?

Traditional systems process data in daily or weekly chunks, creating delays and resulting in blind spots, slower decision-making, and lower operational efficiency.

Struggling to Keep Up with High-Velocity Data?

As data volumes grow and velocity increases, system performance can suffer, causing lagging insights, inefficiencies, and potential failures in critical operations.

Need Instant Visibility & Automation?

Traditional systems delay anomaly detection and response, hindering AI/ML models, slowing automation and leading to inefficiencies and missed opportunities.

Enabling Real-Time Decisions For Top Companies

What we do

Real-Time Data Processing For Instant Insights

We design low-latency, cloud-native architectures that process and analyze data as it’s generated—so you can act fast, automate decisions, and scale without limits.

Event-driven microservices

Eliminate bottlenecks and compliance challenges with our real-time data pipelines built on event-driven microservices, ensuring better data quality, high performance and scalability.

Real-Time insights

Our scalable solutions handle millions of data points per second, streaming and processing low-latency streaming data in real-time to ensure speed, reliability, and data-driven decisions at scale.

Early anomaly detection

Detect, respond, and optimize on the spot with our real-time dashboards and automated triggers, and enhance your business responsiveness.

Optimized Machine Learning Models

Provide AI/ML systems with clean, structured data, ensuring accurate forecasting and automation for smarter predictions.

Power your business with real-time insights

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Real Time Data Processing Use Cases

Powering Real-Time Innovation Across Industries

Our real-time data processing solutions help businesses act on time-sensitive insights, automate workflows, and optimize operations without delay. Here’s how:

Connected Fleet Predictive Maintenance

A leading automotive manufacturer needed high-speed IoT data flows to monitor real-time sensor data, identifying performance issues before they became failures. We built low-latency data pipelines that analyze vehicle telemetry instantly, reducing downtime and optimizing fleet operations.

EV Charging Networks Optimization

An EV infrastructure provider needed real-time energy monitoring to prevent overloads during peak demand. Our solution dynamically adjusts power distribution in real time, optimizing charger performance and reducing operational costs.

Anomaly Detection for Financial Services

A financial analytics firm needed to detect fraud and market shifts instantly. We implemented a real-time analytics platform that continuously scans transactions, identifying anomalies before they impact profitability.

Cybersecurity Threat Management

A cybersecurity firm needed live security log analysis to catch threats before breaches occur. We built a real-time detection system that flags suspicious activity instantly, automating security responses and minimizing risk exposure.

"Our head of engineering was impressed by their technical knowledge and the guidance they provided as we discussed different approaches to building our system"

Kelsey Ledford

Head of Product at Tongal

Case Study

Optimizing IoT Security With Real-Time Data Processing

A pioneering cybersecurity company specializing in IoT device security sought to scale its platform for handling large volumes of data. Their IoT risk assessment platform needed to analyze and secure data from radio and network scans in real-time, ensuring stable operations and an exceptional user experience as they grew.

They reached out to NaNLABS to optimize their platform’s stability, streamline workflows, and enhance scalability. We helped them implement Agile methodologies, refactor the code, and introduce serverless architecture to support large-scale data processing, ultimately transforming the platform into enterprise-level software.

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Business Outcome

Scaling Smarter With Nanlabs: The Real Impact Of Real-Time Data

Increase revenue opportunities

Capture market trends as they emerge, optimize pricing dynamically, and make faster, data-driven decisions that enhance growth and profitability.

Improve customer satisfaction & retention

Deliver seamless, responsive experiences by resolving issues before they impact users, optimizing performance, and personalizing interactions in real-time.

Enhance innovation and agility to stay ahead

Quickly test, adapt, and improve your products to stay on top of market shifts, changing customer needs, and the demands of a fast-evolving industry.

Lower infrastructure costs

Scale efficiently while avoiding expensive data bottlenecks, optimizing cloud usage, and ensuring real-time compliance with industry regulations.

Prevent financial losses

Use automated anomaly detection and real-time monitoring to reduce fraud, minimize unoptimized spending, mitigate risks, and avoid noncompliance fines.

Eliminate costly downtime

Ensure uninterrupted operations and system reliability by detecting failures early and triggering automated responses before disruptions happen.