Custom AI Development Company
Custom AI that solves complex business problems.
Xfactr.AI’s Custom AI Development Services provide advanced classification, forecasting, and anomaly detection models engineered for production environments. Our AI solutions are built to perform reliably on real data and at enterprise scale.
Our Decade long experience, validated in numbers
Enterprise Customers
Analytics capabilities
What enterprise AI heads are dealing with today
- Models that work in notebooks but fail in production
- Complex, messy, multi-source datasets with no clean schema
- Off-the-shelf AI that doesn't fit the specific business problem
- Forecast drift and model degradation with no monitoring
- Anomalies caught too late after cost or damage
Trusted by Leading Enterprises
Primary Model
98.1% Accuracy • Core Product
TP
FP
98.5%
FN
TN
97.8%
Secondary Analysis
92.4% Accuracy • Insights
Service Performance
<1.5s Latency • API
99.99%
Our services. End-to-end AI development.
XFactr.AI is a Custom AI Development Company offering end-to-end AI development services, covering the full lifecycle from technical specification to monitored production deployment for custom AI and machine learning solutions.
Custom AI Development
Design and build bespoke AI solutions engineered around your business processes, data, and operational requirements.
Custom Machine Learning Development
Develop supervised, unsupervised, and reinforcement learning models that deliver accurate predictions and intelligent automation.
Predictive Analytics Solutions
Leverage historical and real-time data to forecast trends, optimize operations, and support data-driven business decisions.
Computer Vision Development
Build AI-powered vision systems for image analysis, object detection, quality inspection, OCR, and industrial automation.
Natural Language Processing (NLP)
Develop intelligent NLP solutions for document processing, text analytics, sentiment analysis, chatbots, and language understanding.
FREE WHITEPAPER
The Production Gap: A Technology Leader’s Guide to Custom AI Development
capabilities
Four ML capabilities. One engineering team.Zero shortcuts.
Classification, forecasting, anomaly detection, and computer vision, NLP & speech are not separate AI products they’re engineering disciplines. XFactr.AI builds all four with the same rigour: designed for your data, deployed to production, monitored continuously.
01 Classification
Know what it is. At scale. In real time.
Production-ready classifiers for tabular, image, text and time-series data with explainable AI.
- Manufacturing defect classification
- Fraud detection
- Customer churn prediction
- Document classification
- Clinical coding
- Equipment failure modes
XGBoost
LightGBM
Deep Learning
SHAP
02 Forecasting
Know what's coming.Before it happens.
- Demand forecasting
- Energy forecasting
- RUL prediction
- Revenue prediction
- Inventory optimisation
- Patient admissions
TFT
Prophet
LSTM
Multi-horizon
03 Anomaly Detection
Catch the signal. Inside the noise.
- Equipment faults
- Fraud anomalies
- Cybersecurity
- Energy monitoring
- Quality outliers
- KPI alerts
Isolation Forest
Autoencoder
LSTM
SPC
04 Vision · NLP · Speech
Understand images. Language and audio.
- Visual inspection
- OCR & Document AI
- NER
- Semantic search
- Speech-to-text
- Speaker diarization
YOLO
OCR
BERT
Whisper
Use cases across the enterprise.
Invoice & Document Automation
OCR + NLP document intelligence to extract and route structured data
Predictive Maintenance
Sensor-based anomaly detection to flag equipment failure before it happens
Demand & Inventory Forecasting
Time-series models for replenishment, pricing, and supply chain planning
Fraud & Risk Detection
Real-time transaction anomaly models tuned for low false-positive rates
Visual Quality Inspection
Computer vision defect detection on production-line camera feeds
Call Centre Voice Analytics
Speech-to-text transcription and speaker diarization for support audio
Churn & Retention Scoring
Classification models that identify at-risk customers before they leave
Energy Load Forecasting
Demand and generation forecasting for utilities and grid operators
Governance capabilities
From problem to production. No demo theatre.
01 Problem Architecture
Define the ML problem precisely: task type, label strategy, latency constraints, acceptable error bounds, and success metric the first deliverable of every AI strategy & roadmap engagement. Prevents months of wrong-direction work.
02 Data & Feature Engineering
Raw data is never model-ready. We assess quality, design feature pipelines, handle imbalance, and create training datasets the custom AI development work most vendors skip.
03 Model Development & Evaluation
Multiple algorithm families evaluated against business-relevant metrics not generic benchmarks.
04 Production Deployment
Containerised model serving on AWS, Azure, or GCP. REST or gRPC endpoints, integrated into your existing systems through our AI integration services.
05 MLOps & Monitoring
Drift detection, performance dashboards, retraining pipelines, A/B testing infrastructure. Your model improves over time not decays undetected.
Governance capabilities
What separates working AI from a working demo.
IoT-to-model latency on production streaming ML pipelines
Production ML models covering industrial diagnostic use cases
RMSE improvement over statistical baselines on forecasting models
0.8%
False positive rate achieved on production anomaly detection models
Complex datasets are our speciality
Sparse labels, noisy sensors, schema drift, multi-modal inputs the problems that break off-the-shelf AI are exactly what XFactr.AI is built for.
Production, not presentations
Every model we build ships to production infrastructure with CI/CD, monitoring, and drift detection not a Jupyter notebook with caveats.
Explainability for your stakeholders
SHAP, LIME, and attention visualisations built in. Your legal, compliance, and business teams can understand every model decision.
Domain depth across industries
Energy, manufacturing, financial services, healthcare, retail XFactr.AI engineers have worked inside these industries, not just consulted from outside.
AI Consulting Services
Enterprise AI Framework
Enterprise AI Solutions
Custom AI solving real business problems.
Energy & Utilities
• Anomaly Detection
Custom AI solving real business problems.
Built multivariate anomaly detection on streaming IoT telemetry from distributed substations and microgrids. Replaced overnight batch processing with sub-90-second sensor-to-alert latency for predictive maintenance teams.
Sensor-to-alert latency: 12 hours → <90 seconds.
Predictive maintenance triggered before failure.
IoT streaming
Anomaly detection
AWS SageMaker
Real-time ML
Oil & Gas
• Classification + Forecasting
Custom AI solving real business problems.
Built multivariate anomaly detection on streaming IoT telemetry from distributed substations and microgrids. Replaced overnight batch processing with sub-90-second sensor-to-alert latency for predictive maintenance teams.
15,000+ wells automated.
Manual engineer review per well eliminated. Deployment risk scoring added.
Classification
Multi-modal ML
Feature engineering
MLOps
Energy & Utilities
• Anomaly Detection
Same day demand forecasting replacing next-day batch models
Forecast horizon reduced from D+1 to same-day.
Demand spikes predicted 6 hours ahead with 4.2% MAPE.
IoT streaming
Anomaly detection
AWS SageMaker
Real-time ML
Industries where XFactr.AI custom AI is deployed.
Energy & Utilities
Manufacturing
Oil & Gas
Retail & eCommerce
Financial Services
Healthcare
What we connect to
Tech in production. Both sides.
| Core ML |
scikit-learn
XGBoost
LightGBM
CatBoost
PyTorch
TensorFlow
Keras
|
| Forecasting |
Prophet
Temporal Fusion Transformer
N-HiTS · N-BEATS
Darts
statsmodels
ARIMA · SARIMA
|
| Anomaly |
Isolation Forest
Autoencoders
LSTM-AD
PyOD
One-Class SVM
ADTK
|
| Computer Vision |
YOLOv8
ResNet · EfficientNet
Detectron2
OpenCV
timm
|
| NLP / Text |
BERT · RoBERTa
Hugging Face
spaCy
SetFit
FastText
|
| ✦ Explainability |
SHAP
LIME
Captum
Alibi
What-If Tool
|
| MLOps |
MLflow
Kubeflow
SageMaker
Vertex AI
Azure ML
BentoML
TorchServe
Seldon
|
| Monitoring |
Evidently AI
WhyLabs
Arize
Grafana ML
DataDog APM
|
Edge-to-Cloud AI across our platforms and services.
Machine Learning · Strategy
Why custom ML models outperform foundation models for operational AI
Built multivariate anomaly detection on streaming IoT telemetry from distributed substations and microgrids. Replaced overnight batch processing with sub-90-second sensor-to-alert latency for predictive maintenance teams.
MLOps · Production ML
The production gap: why 87% of ML models never reach production
Anomaly Detection · Guide
Enterprise anomaly detection: choosing the right model for your data
Edge-to-Cloud AI across our platforms and services.
Data Engineering
Pipelines delivering clean, governed data these analytics layers consume.
Data Platforms
The lakehouse and vector layer these analytics and governance tools sit on.
AI & Agentic AI
AI agents accessing governed enterprise data through audited interfaces.
MLOps
Model lifecycle management versioning, monitoring, and audit for every model.
What clients say about working with us.
“XFactr.ai did not just build technology for us. They helped transform how we think and how we grow.”
Hulet Smith
CEO, RehabMart.com
Rick Szczodronski
CPO, Building Data Company
John M
CEO, Landscaping Company