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 real time data processing architectures that seamlessly stream, analyze, and visualize high-velocity data, delivering instant insights, automated responses, and fast action.This is especially critical in industries like EV charging, connected mobility, and cybersecurity, where milliseconds matter.

Build your low-latency architecture

Real Time Data Engineering Challenges

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

When every second matters, like during EV charger overloads or live fraud detection, real-time visibility is key. The best way to help your team analyze, act, and scale without delay is by leveraging real time data pipelines and event-driven architectures for continuous, low-latency analytics.

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.These gaps make it harder to capture real-time insights when they matter most.

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, especially when high-velocity data isn’t managed for live analysis.

Need Instant Visibility & Automation?

Without real-time data analysis, anomaly detection is delayed, slowing automation and missing critical moments. CPOs rely on real-time insights to detect charger faults, reroute energy, and cut downtime while reducing costs.

Enabling Real-Time Decisions for Top Companies

What we do

Real-Time Data Processing for Instant Insights

At NaNLABS, we design low-latency, cloud-native architectures that process and analyze data as it’s generated, enabling EV charging platforms, SaaS products, and cybersecurity systems to act fast, automate decisions, and scale with precision.Find out how our real-time data solutions turn high-velocity data into immediate business impact.

Event-driven microservices

Eliminate bottlenecks and compliance challenges with our real-time data pipelines built on event-driven microservices.Using Amazon Kinesis and Apache Kafka, we capture data from high-throughput sources, like EV charger logs, user sessions, or security events, with minimal latency, ensuring better data quality, high performance, and scalability.

Real-Time insights

Our scalable solutions process millions of data points per second, enabling instant anomaly detection, dynamic resource allocation, and AI-powered decisions, whether you're managing EV infrastructure, SaaS usage spikes, or threat detection.By integrating AWS Lambda and Kinesis Data Analytics, we enable instantaneous querying and analysis, so your team can detect trends, anomalies, and insights the moment they occur, ensuring 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. From charger failures to system anomalies, our visualizations help you monitor key metrics and course-correct instantly, keeping operations smooth and users satisfied.

Optimized Machine Learning Models

Provide AI/ML systems with clean, structured, real-time data, from predictive maintenance in EV fleets to fraud detection in finance.Our cloud-native, low-latency architecture supports petabyte-scale processing, ensuring that your predictive models stay reliable, consistent, and ready for smarter decisions.

Build real-time systems for EV charging, SaaS, and beyond

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Real Time Data Processing Use Cases

Powering Real-Time Innovation Across Industries

At NaNLABS, we enable companies to turn live data into immediate action, streamlining workflows, automating responses, and improving 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.Using Apache Kafka and Amazon Kinesis, 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 and predictive control to prevent overloads during peak demand across 3,000+ stations.We implemented a system using AWS Lambda and Kinesis Data Analytics to analyze usage patterns, automate energy load balancing, and integrate with their CPMS platform, reducing operational disruptions and energy waste.

Anomaly Detection for Financial Services

A financial analytics firm needed to detect fraud and market shifts instantly. We implemented a real time data processing 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 using AWS Glue and Apache Kafka 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

Business Outcome

Scaling Smarter with NaNLABS: The Real Impact Of Real-Time Data

Here’s how your team can turn high-velocity data into real-time impact, with architectures built for instant action at scale:

Increase Revenue Opportunities

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

Improve Customer Satisfaction

Deliver real-time, frictionless user experiences in critical systems, from EV charging uptime to instant fraud detection.

Prevent Financial Losses

Reduce fraud, control unoptimized spend, and mitigate risks with automated anomaly detection and real-time monitoring.

Enhance Innovation & Agility

Quickly test, adapt, and improve products to meet shifting market demands and evolving customer needs.

Lower Infrastructure Costs

Scale efficiently, optimize cloud usage, and avoid expensive data bottlenecks while maintaining compliance.

Eliminate Costly Downtime

Detect failures early and trigger automated responses to maintain uninterrupted operations.

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 turned to NaNLABS to boost stability, streamline workflows, and enhance scalability. Working side by side, we implemented Agile methodologies, refactored the code, and introduced a serverless architecture to power large-scale data processing, transforming the platform into enterprise-level software ready for the next stage of growth.

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