SERVICES/AI/ML DEVELOPMENT
AI/ML Development

AI That Solves Real Problems

Custom machine learning models, computer vision, NLP pipelines, and predictive analytics - built, trained, and deployed for your specific business needs.

What we offer

AI/ML Development services

Production Grade Machine Learning & AI Solutions

07.1

Custom ML Model Development

Purpose-built machine learning models trained on your proprietary data - classification, regression, clustering, and anomaly detection.

07.2

Computer Vision

Object detection, image classification, OCR, video analytics, and visual inspection systems for quality control and automation.

07.3

Natural Language Processing

Text classification, sentiment analysis, named entity recognition, document summarization, and semantic search systems.

07.4

Predictive Analytics & Forecasting

Demand forecasting, churn prediction, pricing optimization, and risk scoring models using your historical data.

07.5

MLOps & Model Management

Automated training pipelines, model versioning, A/B testing, performance monitoring, and drift detection in production.

07.6

Data Engineering & Preparation

Data pipeline design, feature engineering, data cleaning, and labeling workflows - building the foundation for reliable ML.

Our process

How we build it

STEP 01

Problem Definition & Data Assessment

Define the business problem, success metrics, and evaluate data quality, quantity, and accessibility.

STEP 02

Data Engineering & Feature Design

Build data pipelines, clean and label datasets, engineer features, and create training/validation splits.

STEP 03

Model Development & Training

Experiment with algorithms, tune hyperparameters, and train models using distributed computing when needed.

STEP 04

Evaluation & Validation

Rigorous evaluation with holdout sets, cross validation, fairness audits, and stakeholder review.

STEP 05

Deployment & Monitoring

Production deployment with CI/CD for ML, real-time inference APIs, monitoring dashboards, and automated retraining triggers.

Related work

Shipped in this discipline

PicMe — AI/ML Development project by Quartic Lab
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PicMe

A creative marketplace connecting photographers and customers worldwide. It allows photographers to showcase portfolios, set pricing, and offer services globally. Users can easily discover, compare, and book photographers for events or personal shoots, building a vibrant community centered on creativity, accessibility, and professional exposure across multiple regions.

Crowd Axis — AI/ML Development project by Quartic Lab
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Crowd Axis

An experiential marketing intelligence platform powered by the proprietary Experiential Power Index (EPI). It analyzes data from over 160 sources using AI to help brands measure event ROI, evaluate audience engagement, and identify high-impact live experiences, enabling smarter investment decisions in experiential marketing and brand activation strategies.

Skaly — AI/ML Development project by Quartic Lab
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Skaly

An AI-powered business coaching platform built for the food & beverage industry. It integrates QuickBooks, customer reviews, and location data to generate actionable insights. It helps restaurant and F&B (Food and Beverage) owners increase sales, reduce operational costs, and manage their businesses more efficiently with AI-driven recommendations and performance tracking tools.

Program Pro — AI/ML Development project by Quartic Lab
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Program Pro

An AI-powered strength and conditioning program design platform for certified coaches. Trusted by NSCA-CSCS, NASM-PES, and MSc professionals, it streamlines program creation and delivery. Coaches can build customized training plans, manage clients, and track performance through integrated analytics, eliminating manual workload and improving coaching efficiency at scale.

Practice Tool AI — AI/ML Development project by Quartic Lab
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Practice Tool AI

An AI-powered English learning platform designed to improve language proficiency through personalized practice. Users can take level assessments, access AI-generated exercises, reading tasks, and listening practice using YouTube content. It delivers adaptive learning paths and customized materials to help learners strengthen grammar, comprehension, and communication skills effectively.

VelocityOS — AI/ML Development project by Quartic Lab
web

VelocityOS

A workflow and business offer creation platform for entrepreneurs and startups. It guides users through Identity, Demand, Equity, Approach, and Leverage frameworks to build strong offers. With structured modules and expert guidance, it helps users refine strategies, accelerate execution, and launch market-ready business offers efficiently and effectively.

Tranero — AI/ML Development project by Quartic Lab
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Tranero

A web application associated with a Swedish IT and construction-related company. Tranero appears to focus on providing digital or technology-driven solutions within its industry. It is currently in development and likely supports internal or operational workflows aimed at improving efficiency and project management capabilities for enterprise use.

PayRoll Automation — AI/ML Development project by Quartic Lab
web

PayRoll Automation

A payroll and commission automation system designed for businesses and brokerages. It handles wage calculations, tax deductions, compliance requirements, and payment distribution. The platform reduces manual workload, improves accuracy in financial processing, and ensures timely and structured payroll operations across organizations with complex compensation structures.

Who we serve

We meet you where you are

Startups

AI-native product features, recommendation engines, and intelligent automation to differentiate your product from day one.

Mid-Market Companies

Predictive analytics, process automation, and customer intelligence that unlock operational efficiency at scale.

Enterprise

Enterprise-grade ML platforms with governance, compliance, model registries, and integration with existing data infrastructure.

Technology

The stack

ML Frameworks

PyTorchTensorFlowscikit-learnXGBoost

MLOps

MLflowWeights & BiasesDVCKubeflow

Data & Cloud

PythonPandasSparkAWS SageMakerGCP Vertex AI
FAQ

Frequently asked questions

Traditional ML focuses on prediction and classification from structured data. GenAI (our separate service) focuses on content generation using large language models. We offer both.

It depends on the problem. Some models work with thousands of records, others need millions. We assess your data during the discovery phase and recommend augmentation strategies if needed.

POC in 4-6 weeks. Production-ready models typically take 2-4 months including data engineering, training, and deployment.

Yes — we integrate with your data warehouses, lakes, and pipelines (Snowflake, BigQuery, Redshift, Databricks, etc.).

Avg. response: 4 hours

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