Neulaxy
Machine Learning

Machine Learning & Predictive AI

We design, train and deploy custom machine learning and predictive AI built for your domain, from forecasting and computer vision to anomaly and fraud detection, integrated with the systems you already run.

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01 — Why it matters

Off-the-shelf cannot read your data

Generic model

One size fits nobody

  • Blind to your proprietary data
  • Misses the patterns that matter
  • Decisions run on guesswork
Custom ML

Built on your data

  • Models trained on your domain
  • Tuned to the patterns that matter
  • Decisions backed by evidence
02 — Our approach

From raw data to reliable predictions

We assess your data, build the right model, and ship it with monitoring so it stays accurate over time.

01

Assess the data

We map what data you have and engineer the foundation you need, so a perfect dataset is not a prerequisite.

02

Build or fine-tune

Custom models where they create an edge, and efficient fine-tuning with LoRA or PEFT where it beats training from scratch.

03

Validate on real metrics

We validate against real-world metrics, not demo conditions, so the model performs where it counts.

04

Integrate and run

We ship into your stack with monitoring and MLOps so predictions stay accurate as your data changes.

03 — Capabilities

What we deliver

Models

Custom ML models

Predictive, classification and deep-learning models for your domain.

Forecast

Forecasting & time-series

Demand, sales and risk forecasting on your history.

Vision

Computer vision & multimodal

Image, video and multimodal models for real-world inputs.

Language

NLP & speech

Language and speech systems tuned to your domain.

Detect

Anomaly & fraud detection

Flag unusual patterns such as fraud and operational outliers.

Predict

Predictive analytics

Scoring and forecasts on your core business metrics.

Tuning

Fine-tuning (LoRA/PEFT)

Efficient adaptation when training from scratch is overkill.

Data

Data engineering

Cleaning, features and reliable pipelines that feed the models.

04 — Where it fits
  • Demand and risk forecasting
  • Fraud and anomaly detection
  • Document extraction and classification
  • Predictive scoring on core business metrics
  • Computer-vision tasks such as image and video analysis
Business outcomes
Data, not guesswork
Decisions backed by evidence
Accurate in production
Validated on real metrics
Measurable lift
On your core business metrics

Fits into your existing stack

Neulaxy solutions integrate with the systems, tools, data and processes you already use, through clean and well-documented APIs. We fit into your stack rather than asking you to rip out and replace what works.

Tech stack
PyTorchTensorFlowscikit-learnHugging FaceDockerAWSPyTorchTensorFlowscikit-learnHugging FaceDockerAWSPyTorchTensorFlowscikit-learnHugging FaceDockerAWS
06 — FAQ

Frequently asked questions

What is custom AI development, and how is it different from off-the-shelf tools?+

Custom AI development means designing, training, and deploying models tailored to your data, domain, and workflows, instead of relying only on generic tools. Off-the-shelf products are quick to adopt but rarely fit specialised processes or proprietary data. Custom models capture the nuances of your domain and plug directly into your systems. We often blend both, using proven platforms where they fit and building custom components where they create real advantage.

What kinds of AI and ML models do you build?+

We work across the modern stack, including transformers and large language models, multimodal models, computer vision, and NLP and speech systems. We also fine-tune existing models with LoRA and PEFT when that is more efficient than training from scratch.

Do I need a large, clean dataset before you can build a model?+

Not necessarily. Data readiness varies, and part of our process is assessing what you have and engineering the data foundation you need. Some projects use your existing data, some use fine-tuning on smaller sets, and some rely on pre-trained models with retrieval. We recommend the approach that fits your data and goals.

How do you make sure a model works in production, not just in a demo?+

We build and validate against real-world metrics, not demo conditions, and ship with monitoring, ownership, and MLOps so systems stay accurate over time. Our process moves from assessment to roadmap to build and validate to integrate and run.

How long does a custom AI project take?+

Timelines depend on scope, data readiness, and integration complexity. We de-risk delivery with a clear roadmap and phased milestones so you see value early. The best way to get an estimate is a consultation where we scope your specific use case.

Do you build forecasting and anomaly detection?+

Yes. We build demand, sales, risk and time-series forecasting models, and anomaly-detection systems that flag unusual patterns such as fraud or operational outliers, then integrate them into your workflows.

Ready to put machine learning to work?

Book a 30-minute consultation and we will map the highest-leverage first use case.