AI and Machine Learning

Expert AI and Machine Learning Consulting Services

Numlytics delivers specialist AI and machine learning consulting services to enterprises across the US, UK, Australia & UAE. From predictive analytics and LLM integration to NLP services, MLOps, and full AI product development - we build ML solutions that create measurable competitive advantage, not just proof-of-concepts.

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Production ML, not just prototypes or PoCs
Certified ML engineers with Azure ML & Databricks expertise
First model in production within 4–6 weeks
Up to 50% lower cost vs US/UK AI firms
Typical Delivery Outcomes
4wk
First ML model in production
within 4–6 weeks
40%
Average improvement in
forecast accuracy
65%
Reduction in manual
classification tasks via NLP
50+
Enterprise AI & ML
engagements delivered
We specialise in Predictive Analytics LLM Integration Services RAG Pipeline Development NLP Services MLOps Consulting AI Product Development Computer Vision Generative AI Consulting Azure ML & Databricks Offshore AI Team
What We Cover

AI and Machine Learning That Delivers Business Outcomes

Most AI projects fail not because the models are wrong - but because they never reach production. Vendor demos, pilot projects that don't scale, and ML infrastructure that collapses under real data volumes are the reality for most enterprise AI initiatives.

Our AI and machine learning consulting services are built for production from day one. From predictive analytics that reduce churn and improve forecasting accuracy, to LLM integration and RAG pipeline development that embed generative AI into your existing products, to MLOps infrastructure that ensures your models stay accurate over time - we deliver AI that actually runs in your environment, at up to 50% lower cost than equivalent US or UK firms.

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Common Client Challenges
"Our AI project never left the pilot phase"
A working notebook in a data scientist's laptop that never made it to a production API. No MLOps, no monitoring, no stakeholder adoption.
"We built an LLM chatbot that hallucinates"
A generative AI tool that makes up answers, cites non-existent documents, and erodes user trust. No RAG architecture, no grounding, no guardrails.
"Our models degrade after a few months"
Models trained once and never retrained. Data drift silently reduces accuracy over time. No monitoring, no retraining pipeline, no alerting.
"AI consulting quotes are astronomical"
US and UK AI consultancies quoting $200k+ for a predictive model that a certified offshore AI team can deliver at a fraction of the cost.
Sub-Services

Five AI and Machine Learning Service Areas

Each can be engaged standalone or combined into a full AI and machine learning consulting programme. Most clients start with predictive analytics or LLM integration.

01 · 1,600–3,200/mo · $22–44 CPC

Predictive Analytics

We design and deploy predictive analytics models that forecast demand, predict churn, detect anomalies, and score leads, integrated directly into your data platform and BI layer so predictions are available where decisions are made.

  • Demand forecasting & inventory optimisation
  • Customer churn prediction models
  • Anomaly detection & fraud scoring
  • Lead scoring & propensity modelling
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02 · 1,600–3,200/mo · $28–56 CPC · Fast Growing

LLM Integration Services

We integrate large language models - OpenAI GPT-4, Azure OpenAI, Anthropic Claude, and open-source LLMs, into your existing applications and workflows using RAG pipelines, prompt engineering, and fine-tuning to ensure outputs are accurate, grounded, and governed.

  • RAG pipeline design & implementation
  • Azure OpenAI & GPT-4 integration
  • LLM fine-tuning & prompt engineering
  • AI guardrails, grounding & output validation
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03 · Low Difficulty · High Automation Value

NLP Services

We build NLP services that extract meaning from unstructured text - customer reviews, support tickets, contracts, and documents - enabling automated classification, sentiment analysis, entity extraction, and document intelligence at scale.

  • Sentiment analysis & opinion mining
  • Named entity recognition & extraction
  • Document classification & intelligent routing
  • Text summarisation & document intelligence
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04 · 880–1,600/mo · $20–40 CPC · Critical for Longevity

MLOps Consulting

We implement MLOps infrastructure that ensures your ML models are monitored, retrained, versioned, and deployed reliably - using MLflow, Azure ML, Databricks MLflow, and CI/CD pipelines designed for the full ML lifecycle, so your models stay accurate long after go-live.

  • ML pipeline orchestration (Azure ML, Databricks)
  • Model monitoring, drift detection & alerting
  • Automated retraining & A/B testing pipelines
  • MLflow experiment tracking & model registry
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05 · 480–1,100/mo · $18–36 CPC · High Value

AI Product Development

We design and build complete AI-powered products - intelligent document processing systems, AI recommendation engines, computer vision applications, and custom generative AI tools, from architecture through to production deployment and ongoing support.

  • Intelligent document processing (IDP)
  • AI recommendation & personalisation engines
  • Computer vision & image classification systems
  • Generative AI product design & deployment
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Our Approach

How We Deliver Your AI and ML Engagement

Our AI and machine learning consulting follows a structured 4-phase model that prioritises production readiness, not just model accuracy. First model in production within 4–6 weeks of kickoff.

01
Problem Framing & Data Audit

We define the business problem in ML terms, audit your available data for volume, quality, and label availability, and validate that the proposed ML approach is the right solution, before writing a line of code.

⏱ Week 1
02
Data Preparation & Feature Engineering

We build the data pipeline, clean and transform the training data, engineer features, and establish the evaluation framework - ensuring the model is trained on data that reflects production reality.

⏱ Weeks 1–3
03
Model Development & Validation

We train, tune, and validate candidate models. Results are reviewed with business stakeholders at each checkpoint, accuracy metrics are always tied to business impact, not just technical scores.

⏱ Weeks 2–5
04
Production Deployment & MLOps

We deploy to production via API or direct platform integration, set up monitoring, drift detection, and automated retraining, so your model stays accurate as data evolves.

⏱ Weeks 4–6
Why Numlytics

Why Choose Numlytics for AI and Machine Learning Consulting

We're not AI enthusiasts who prototype. We're certified ML engineers with hands-on production experience - building AI and machine learning systems that run reliably in enterprise environments across 50+ deployments.

Production - Not Just Pilots
Every AI engagement we take is scoped for production. We build with monitoring, retraining pipelines, and API deployment from day one, so your model doesn't die in a Jupyter notebook.
Certified Azure ML & Databricks Engineers
Our ML engineers hold current certifications in Azure Machine Learning, Databricks ML, and are experienced with the full OpenAI API and LangChain ecosystem. No generalists learning on your budget.
Safe, Governed AI by Default
We build guardrails, output validation, hallucination detection, and audit logging into every LLM and generative AI deployment - because enterprise AI without governance is a liability, not an asset.
50% Lower Cost vs US/UK AI Firms
Certified offshore ML engineers from India, the same platform expertise as US or UK AI consultancies at up to 50% lower cost, with full timezone overlap and daily communication.
MLOps Built Into Every Engagement
We don't hand over a model and disappear. Monitoring, drift detection, and retraining pipelines are included in our standard ML delivery, so your models stay accurate as your data evolves.
Rated 5.0 on Clutch & Guru
50+ enterprise clients across US, UK, and Australia. Zero unresolved disputes. 5.0 ratings on Clutch and Guru, independently verified with consistent 5-star feedback.
★★★★★

"We'd been trying to get a churn prediction model into production for 18 months with two different vendors. Numlytics scoped it in week one, had a working model in staging by week three, and it went live in production by week six. The model has reduced churn-related revenue loss by 23% in the first quarter. The MLOps setup they built means we can retrain it ourselves, we're not dependent on them forever."

MJ
Marcus J.
Chief Product Officer · SaaS Platform, Australia

Each can be engaged standalone or as part of a full AI and machine learning consulting programme.

Predictive Analytics
1,600–3,200 searches/mo · $22–44 CPC
→
LLM Integration Services
1,600–3,200 searches/mo · $28–56 CPC · Fastest growing
→
NLP Services
Low difficulty · High automation value
→
MLOps Consulting
880–1,600 searches/mo · $20–40 CPC
→
AI Product Development
480–1,100 searches/mo · High value
→
Data Engineering ↗
Required foundation for all ML projects
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FAQ

AI and Machine Learning Consulting FAQs

Common questions from US, UK & Australian clients before starting an AI and ML engagement with Numlytics.

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Numlytics offers five core AI and machine learning consulting services: predictive analytics, LLM integration services, NLP services, MLOps consulting, and AI product development - all delivered by certified offshore ML engineers at up to 50% lower cost than US or UK AI firms.
Numlytics typically delivers the first production ML model within 4–6 weeks of project kickoff. Simpler models can go live faster. Complex LLM-based or deep learning systems may take 8–12 weeks. Our production-first approach means models are deployed with monitoring, alerting, and retraining pipelines from day one.
RAG (Retrieval-Augmented Generation) is an architecture that grounds LLM responses in your own documents, databases, or knowledge bases - preventing hallucinations and ensuring accuracy. Yes, Numlytics designs and builds production RAG pipelines using LangChain, LlamaIndex, Azure AI Search, and Pinecone.
Yes. Numlytics provides ongoing MLOps support including model drift monitoring, automated retraining pipelines, performance dashboards, and model version management. We offer this via dedicated offshore ML teams, staff augmentation, or managed analytics services.
Our ML engineers are certified on Azure Machine Learning, Databricks MLflow, and Google Vertex AI. We also work with OpenAI GPT-4, Anthropic Claude, Hugging Face Transformers, LangChain, LlamaIndex, and the full Python ML ecosystem including scikit-learn and PyTorch.
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Get Your First AI Model Into Production Today

Talk to a certified AI and machine learning consultant. We'll review your data, define the right ML approach, and deliver a scoped proposal within 24 hours. Serving enterprises in US, UK, Australia & UAE.

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