AI, ML & Data Engineering

Build future-ready products for the AI-driven era

Proven Expertise in AI, ML & Data Engineering

We design and implement cutting-edge AI, ML, and data engineering solutions that drive automation, enhance decision-making, and unlock new business opportunities with speed, security, and scalability.

Voice Processing

  • Voice Recognition
  • Real-time Transcription & Summerization
  • Real-time Personal Data De-identification

Generative AI & LLM  

  • Retrieval-Augmented Generation (RAG)
  • OpenAI, Claude, DeepSeek and Gemini Integrations
  • Personalization Systems
  • Prompt Engineering

Natural Language Processing (NLP)

  • Text and Sentiment Analysis
  • Chatbots & Virtual Assistants

Machine Learning R&D

  • Customized Model Development
  • Model Training & Optimization

Computer Vision

  • Image & Video Analysis
  • Real-time Facial Recognition
  • Intelligent CCTV Analysis

Data Engineering & Integration

  • Data Ingestion & ETL Pipelines
  • Data Integration & Migration
  • IoT Data Management
  • ETL Architecture and Implementation

Big Data & Cloud Engineering

  • Scalable Cloud Data Solutions
  • Real-time Stream Processing
  • Big Data Frameworks (Hadoop, Spark)

Business Intelligence & Analytics

  • Data Visualization Dashboards
  • Predictive & Prescriptive Analytics
  • BI Tool Integrations (Power BI, Tableau)

HealthTech AI Solutions

  • Diagnostic Imaging Analysis
  • Predictive Healthcare
  • Patient Data Insights

Worldwide Compliance

ISO 9001:2015 certified imageISO 27001:2022 certified imageISO 27017:2015 certified imageISO 27018:2019 certified imageGDPR Certified Logo

Tech Stack

At Fcode Labs, we leverage a modern tech stack to build scalable, secure, and high-performing digital solutions. From front-end frameworks to powerful back-end systems, we use industry-leading tools to bring your vision to life

Programming & Frameworks

  • Languages: Python
  • ML Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost
  • Deep Learning Libraries: Keras, FastAI, Hugging Face Transformers

Data Engineering & Big Data

  • Data Processing Frameworks: Apache Spark, Apache Flink, Hadoop
  • Data Warehouses & Storage: Snowflake, Google BigQuery, AWS Redshift
  • ETL Pipelines & Data Ingestion: Apache Airflow, AWS Glue

Computer Vision & Image Processing

  • Object Detection & Image Analysis: OpenCV, YOLO
  • Facial Recognition: OpenCV, Dlib, FaceNet, MTCNN, OpenFace
  • Medical Imaging: MONAI, DICOM

Generative AI & Large Language Models (LLMs)

  • LLM Providers & APIs: OpenAI, Claude, DeepSeek, Gemini AI
  • Custom Model Development: Hugging Face
  • Content Generation & Personalization: Stable Diffusion, DALL·E, TensorFlow Recommenders

Cloud & DevOps

  • Cloud Platforms: AWS, Google Cloud, Azure
  • Hosting & Deployment: AWS SageMaker, Vertex AI, Azure ML, Kubeflow
  • Containerization & Orchestration: Docker, Kubernetes
  • CI/CD Pipelines: GitHub Actions, Jenkins

Business Intelligence & Analytics

  • Data Visualization: Power BI, Tableau, Google Data Studio
  • Predictive Analytics: SAS, Alteryx, KNIME
  • BI Integrations: Microsoft Power Platform

Success Stories

Transforming Protein Analysis with a Remote Dream Team

Fcode Labs collaborated with MOHT on two projects: MindLine and HOPES. They provided development resources and ensured alignment with project goals.

Implementing AI-Based Surveillance with a Remote Team

PromiseQ GmbH, a Berlin-based startup with seed funding, specializes in AI-driven surveillance solutions.

WIZ Health: AI-Powered, Privacy-First Health Records on the Go

WizzHealth is a privacy-first health records app that securely stores medical data locally. It offers AI-powered insights, medication tracking, document scanning, and health integrations, ensuring offline access with minimal internet dependency.

SIBO: AI-Powered Diagnostics for SIBO Detection

Fcode Labs collaborated with MOHT on two projects: MindLine and HOPES. They provided development resources and ensured alignment with project goals.

Improving Customer Care with Machine Learning at a Telco Giant

Fcode Labs collaborated with MOHT on two projects: MindLine and HOPES. They provided development resources and ensured alignment with project goals.
View all Case Studies

Unsure Which AI/ML Framework or Model Architecture to Choose?

Ramesh Rathnayake

Selecting the right AI/ML framework and architecture is key to building scalable and high-performance models. Ramesh will guide you in choosing the best deep learning models, cloud AI infrastructure, and deployment strategies for long-term success.
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How Can You Ensure AI Model Quality and Automate Testing?

Muqshid Mohamed

Ensuring AI models perform accurately and efficiently requires robust testing and automation. Muqshid will help you implement AI model validation, bias detection, automated ML testing, and continuous monitoring to enhance model reliability and fairness.
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Concerned About AI Ethics, Data Security, and Compliance?

Pansuja Senevirathna

Ensuring AI model fairness, handling sensitive data, and complying with cross-border regulations are crucial for trust and security. Pansuja will guide you in securing AI architectures, implementing GDPR-compliant data practices, and managing ethical AI governance.
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