Machine Learning Development Services
Kodexo Labs builds machine learning models your business can rely on, and you own everything: the code, the finished model and the data setup behind it. Our PhD-level engineers build models that predict outcomes, read images and understand text, connect them to your existing systems, and keep them working correctly over time.
Get a Free Prototype of Your ML Model
TRUSTED BY ENTERPRISES
Kodexo Labs machine learning development services take you from an idea to a working model your team uses every day. We define what the model should predict, prepare your data, build and test the model, connect it to your existing software, and keep checking it after launch so it stays accurate. We've shipped 51 AI products this way.
Machine Learning Capabilities for Your Business
Custom prediction models: software that learns from your past data to make everyday decisions, like approving a loan or flagging a risky order. Built with proven tools such as TensorFlow and PyTorch.
Forecasting (predictive analytics): see what's coming: next month's sales, which customers may leave, or where costs will rise.
Image and video analysis (computer vision): teach software to "see", so it can spot product defects, read medical scans or watch a live camera feed.
Text and document understanding (NLP): pull key details from contracts, forms and emails, and sort documents automatically.
Advanced pattern recognition (deep learning): find patterns too complex for simpler models, like early warning signs in patient health data or product suggestions shoppers actually click.
Ongoing monitoring (MLOps): we track the model after launch and retrain it when your data changes, so its accuracy doesn't slowly slip.
IN THE NEWS
Of organizations already grow revenue through AI
Global machine learning market in 2026
Share of the ML market spent on services
Of machine learning prototypes made it into real use
Our Machine Learning Development Services
Every machine learning project starts in a different place. Pick the service that matches where you are today, from an idea that needs a plan to a live model that needs fixing.
Custom ML Model Development
We develop machine learning models trained on your organization's own data to address a specific business question, such as customer churn, demand forecasting or risk scoring. Each model is validated on data it has not seen before, integrated with your systems and delivered with documentation. Accuracy targets are agreed before development begins, which sets a clear standard for measuring the result.
Models trained on your historical records to forecast outcomes such as churn, fraud risk and order value.
Fairness Factor: a custom prediction engine that reached 80% accuracy.
Not sure which machine learning service fits your project?
Book a call with a Kodexo machine learning engineer. We review your objective and available data, then recommend the right service and outline the expected scope and timeline.
Measurable, Verified Production Outcomes
Vital Connect
Clinical teams missed early-warning patterns in patient data, delaying diagnosis. We built a TensorFlow signal-detection layer that surfaces subtle conditions earlier and accelerates clinical decision-making.
3×
Earlier Detection
40%
Faster Diagnosis
60%
Fewer documentation errors
Fairness Factor
HR teams relied on outdated surveys and intuition for workforce decisions. We built a PyTorch prediction engine that learns from organizational data and delivers actionable retention and performance insights.
80%
Prediction Accuracy
30%
More confident negotiations
35%
Performance improvement
Decima AI
Field teams were losing hours to desktop BI tools they could not use offline or on the move. Kodexo Labs built Decima as a native mobile analytics product with offline-first data access.
Queries
Sub-second
Experience
Offline-first
Connected
Data Sources
Training Mate
Generic fitness apps prescribed identical plans to every user. Kodexo Labs built Training Mate with adaptive AI plan generation, on-device computer vision for form tracking, and per-user progress analytics.
85%
Hands-Free Engagement
70%
Faster Onboarding
40%
Consistency Improvement
Diesel Laptops (Inc. 5000)
Fleet technicians were spending more time searching repair records than fixing trucks. Kodexo Labs built a self-hosted AI search system on AWS VPC that answers queries across 160,000 records in seconds.
85%
Search Time Reduction
160,000+
Repair Records Indexed
12 Weeks
Build to Production
Extensiv (Inc. 5000)
Extensiv's operations team waited on engineering for every data question. Kodexo Labs built an agentic LangGraph system that answers plain-English queries across 4 databases at 90%+ SQL accuracy.
90%+
SQL Accuracy
207
Tables
04
Databases
Teacher AI
Personalised tutoring had never scaled affordably. Kodexo Labs built Teacher AI to give every student a tutor in their native language, on demand. The in-house product now generates $5M+ in revenue.
50,000+
Users
30+
Countries
$5M+
Revenue
What Clients Say About The Team
Fast-growing organisations do not applaud a consulting partner for polished slide presentations; they praise it for showing up when something actually breaks. The notes below come from founders who watched Kodexo Labs work the problem in real time.
Kodexo Labs has met all expectations; the team delivers on time and manages the project seamlessly. They respond promptly to needs and communicate effectively through virtual meetings, Google Chat, and WhatsApp. Overall, they're highly passionate about the project and excel in customer service.
Christopher Brigham
MD President, Brigham and Associates, Inc.
WATCH VIDEO
- Early warning detectionPatient outcome predictionClinical signal monitoringMedical image analysis
Machine Learning Solutions for Your Industry
Our machine learning development services cover eight industries, each with its own data, accuracy targets and compliance requirements. Select your industry to see typical use cases and the types of models we build, from forecasting and monitoring to document, image and speech analysis.
Want to See What Machine Learning Can Do for Your Industry?
Tell us your industry and business goals. We'll send 3 machine learning use cases picked for you, free, within 5 business days.
The Compliance Frameworks We Design For
Machine learning systems used in regulated industries need data protection and security controls built in from the start of the project. We design our systems to meet the requirements of the following frameworks, based on your industry and the data you work with.
HIPAA
GDPR
SOC TYPE 2
ISO 27001
CCPA
NIST AI RMF
EU AI Act
PCI-DSS
COPPA
FERPA
HIPAA
GDPR
SOC TYPE 2
ISO 27001
CCPA
NIST AI RMF
EU AI Act
PCI-DSS
COPPA
FERPA
Why Teams Trust Our Machine Learning Development Company to Ship Real Production ML
Many machine learning projects stop at a working prototype and never reach daily use. Our team builds each model with deployment, monitoring and maintenance included from the start, so it continues to perform after launch.
Production-Ready Models
Fifty-one AI products shipped to production. Every build includes monitoring and automated retraining, so models continue to perform accurately after the engagement ends.
PhD-Led ML Engineering Team
Our machine learning team is led by PhD-trained engineers, with specialists in computer vision, natural language processing and predictive modeling. Each project is staffed with engineers experienced in that model type.
Compliance From Day One
Compliance requirements are part of the system design, not a separate step. We build to SOC 2 control principles and design for GDPR and HIPAA requirements, with documentation prepared throughout development.
Agile Delivery
We deliver working models at the end of every sprint, with weekly demos and a two-week scoping phase before development begins. This keeps progress visible throughout the project.
Will Your Machine Learning Idea Actually Work?
Tell us your idea. We'll send a free report on what it would take and what it should cost.
Award-Winning ML Engineering
Independent reviewers and review sites have placed Kodexo Labs atop the AI development field across 2024 and 2025. The awards below all come from Clutch and Upwork.
Technologies Across the ML Lifecycle
Our engineering depth runs across 40+ tools covering training frameworks, feature engineering, orchestration, MLOps, serving, vector retrieval, and the agentic and generative layers above them, with MLflow as the model-tracking and registry standard across most builds.
Our Machine Learning Development Process
Scope and Plan
A two-week scoping engagement delivers an ML readiness assessment, a prioritised use-case map, data-readiness audit, and architecture recommendation as named deliverables. You leave with a defensible build plan your CTO presents well.
Design and Build
An architecture design and working proof-of-concept arrive on the framework fitting your problem, usually TensorFlow or PyTorch. The prototype runs against a representative slice of production data, surfacing genuine signal before commit.
Build and Integrate
Model training, feature engineering, and API integration arrive against the production architecture. Our machine learning implementation services migrate the model from notebook to a wired endpoint, with tests and bias audits attached.
Deployment & Launch
Production-grade deployment materialises through a CI/CD pipeline on AWS SageMaker or Azure ML, with registry model versioning and inference pipelines for real-time and batch workloads. Launch becomes a controlled release, not research.
Support and Optimise
Ongoing MLOps arrives with MLflow tracking, model drift detection, retraining triggers, and SLA-backed support. Our ml app development services keep performance steady as data shifts, with dashboards and alerts flagging drift promptly.
Insights From The Kodexo Labs Team
What is Machine Learning (ML)?
May 2025 · By Aruba Yousuf
What machine learning is and how it relates to AI and deep learning, covering key concepts, types of ML, how models are built, and real-world applications.
What is MLOps?
January 2024 · By Aruba Yousuf
What MLOps is and how it works, covering MLOps vs DevOps, key components, tools, platforms, the MLOps engineer role, and leading MLOps companies.
Top 15 AI Development Companies in 2026 [Expert-Ranked]
March 2026 · By Aruba Yousuf
List of the top 15 AI development companies in 2026, based on Clutch verified reviews, production-grade capabilities, measurable ROI, compliance, and 2026-ready technologies like agentic AI and RAG.
Frequently Asked Questions
Not every problem needs machine learning. If the decision follows fixed rules, standard software is usually faster and cheaper to build. Machine learning is the right approach when the decision depends on patterns in past data, such as predicting risk, demand or behavior. We assess this honestly before recommending a build.