nexocode

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Overview

$25,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2017

Year Founded

ABOUT NEXOCODE

Artificial Intelligence Experts for Your Business!

Are you in search of custom product development tailored to your specific requirements? Looking to harness the power of AI for your business? We’re up for the challenge! We partner with collaborators across the globe, including the United Kingdom, USA, and Canada, and have gained the trust of major companies like Nokia and Google, as well as emerging startups like Justpoint. Our significant accomplishments lie within the technology, logistics, and healthcare sectors, but we thrive on creative challenges in all projects! We’ll listen to your ideas, guide them through a design process, and provide you with a profitable tech solution for your business. Based in Poland, we combine strong technical skills with a strategic outlook as an innovative IT partner. Nexocode is built on the principles of trust, responsiveness, and effective communication. As a Teal Organization, we encourage everyone to participate in decision-making. Our Custom Software Development Engineers are proficient in Java, JavaScript, Kotlin, C#, TypeScript, and Python. We assist clients at every stage of AI development by offering: - Digital transformation through Artificial Intelligence - Proof of Concept Development - Data Quality Audits and Data Science - Development of Data Systems and Pipelines - Custom AI Development Services - MLOps - Machine Learning Consulting. As active members of our professional communities, we engage in open source projects, speak at prominent events, and participate in hackathons. Explore Nexocode's AI Design Sprint: an interactive experience where we help identify potential AI use-cases for your business and discover available opportunities. Interested in finding out more? Contact us today at services@nexocode.com. Also, check us out on LinkedIn, Facebook, and visit our website at https://nexocode.com.

Languages Spoken

EnglishPolish

HIGHLIGHTS

$25,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2017

Year Founded

Services

Focus

Industries

Clients

Services Provided

25% AI Strategy & Roadmap Consulting

15% Generative AI

25% Machine Learning Model Development

15% BI & Big Data Consulting & SI

10% Cloud Consulting & SI

10% Other IT Consulting and SI

About the Team

OUR STORY

Nexocode is an international AI development company headquartered in Poland, driven by collaboration and innovation. Rather than a traditional corporate structure, it functions as a cohesive team, emphasizing open communication, mutual learning, and shared expertise. Specializing in tackling challenging and innovative projects, Nexocode employs a flat organizational hierarchy and agile methodologies to foster creativity and maintain a strong focus on client goals. The company's culture values transparency, personal growth, and teamwork, creating a supportive environment where members are encouraged to contribute equally. Known for delivering world-class solutions and building long-term partnerships, Nexocode prioritizes clarity, trust, and excellence, ensuring clients receive tailored, effective AI services through efficient and dedicated collaboration.

Portfolio

Scheduling deliveries for last mile logistics

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CLIENT Logistics Sector OBJECTIVE: Implement predictive scheduling for last-mile distribution and route planning utilizing an AI model that forecasts delivery success Challenge Accepted! WE SUCCEEDED! A company in the last-mile logistics industry was facing significant issues with high rates of failed deliveries due to inefficient scheduling practices. To address this problem, we introduced a data-driven optimization strategy that integrates artificial intelligence with fleet management optimization. Our solution centered on creating a predictive scheduling model that works in tandem with the delivery scheduler and route planner. Throughout the project, we encountered difficulties, such as maximizing delivery success rates without increasing costs, as well as managing inaccurate forecasts when historical data was available for specific addresses. The machine learning model we developed estimates the likelihood of successful delivery based on various factors, including time, location, address, day of the week, vehicle type, weather conditions, presence of a doorman or receptionist, building characteristics, parking challenges, and real-time traffic information. The predictive scheduling component optimizes both routes and the order of deliveries to ensure that drivers can deliver orders at the most suitable times. A key aspect of our solution was effectively incorporating the model's insights to refine delivery schedules. As a result, our approach decreased failed delivery rates by 60% by accurately predicting the best delivery timings. TOOLS: Python, Tensorflow, Google Cloud Platform For more details, visit: https://nexocode.com/case-studies/predictive-delivery-scheduling-and-route-optimization-for-last-mile-logistics/

Predictive monitoring for APIs production process

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CLIENT Pharmaceutical Sector OBJECTIVE Enhancing the batch production process with an AI model that assesses real-time data from reactors? Challenge Accepted! WE SUCCEEDED! Our client faced challenges with the efficiency of their repetitive batch production processes, with over 50% of batches deemed wasteful due to declines in final product quality. At nexocode, we developed a model that monitors real-time data from the production process and identifies potential anomalies that can lead to quality issues based on this data. We pinpointed critical areas responsible for process variations and implemented anomaly detection using diverse deep learning techniques (including RNNs, CNNs, and Transformers). We applied predictive analytics to monitor product batches throughout the entire manufacturing process, allowing for real-time adjustments in response to operational issues, thereby minimizing disruptions and enhancing efficiency. Transitioning to a prescriptive manufacturing approach for our client results in improved efficiency, greater predictability, and enhanced quality assurance in manufacturing operations and outputs. TOOLS Python, TensorFlow, Deep Learning Learn more: https://nexocode.com/case-studies/predictive-manufacturing-in-api-production-process/

Predicting Bank Loan Defaults

Unknown

CLIENT Fintech Sector OBJECTIVE Creating an AI model to predict loan defaults and enhance bank profitability? Challenge Accepted! WE DID IT! A fintech company aimed to develop an AI model capable of forecasting defaults on bank loans to leverage this data for profit maximization. Previously, there was no effective method for identifying which customers were likely to default without manually reviewing every case file. Given that banks can charge additional interest on late payments, it was essential to optimize credit decisions to boost profitability. To forecast loan defaults, we utilized logistic regression, a parametric machine learning algorithm that estimates the likelihood of falling into one of two classes. The model was trained on historical data from clients who defaulted to identify patterns associated with defaults. The logistic regression results indicated that, in addition to some obvious factors, several less apparent ones, such as demographic information and homeownership status, were also significant predictors of loan defaults. To address the imbalance in the existing dataset, we implemented a sampling method, a statistical inference technique that involves selecting observations from a population to gain insights about the entire group. Another crucial aspect of our solution was ensuring it was interpretable and user-friendly for business stakeholders, enabling them to easily pinpoint which features significantly influence default predictions. The model we developed is straightforward, making it a practical decision-making tool for bank employees. TOOLS Python, SciKit Learn, Tensorflow, Google Cloud Platform For more information, visit: https://nexocode.com/case-studies/predicting-bank-loan-defaults-for-profit-maximization/

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