AI & Data Intelligence

Machine learning that makes measurably better decisions

Forecast demand, catch fraud, predict churn, recommend the next product. We build models that beat your current baseline — and prove it before they go live.

Robotic hand reaching towards a human hand, representing AI

Baselines first

Every ML project we run starts by measuring how decisions are made today. If a model cannot beat that baseline by a meaningful margin in back-testing, we say so and save you the build. When it can, we have a number to hold ourselves to.

Production-grade from the start

Feature pipelines, versioned datasets, reproducible training, shadow deployments and drift monitoring are standard on our projects. Models that quietly degrade are worse than no model at all.

What we deliver

Machine Learning Development services we offer

01

Demand & sales forecasting

Inventory, staffing and revenue forecasts with explainable drivers.

02

Recommendation engines

Personalised products, content and offers for apps and storefronts.

03

Fraud & risk models

Transaction, claims and identity fraud detection with low false positives.

04

Churn & lifetime value

Spot at-risk customers early and target retention where it pays.

05

Pricing optimisation

Dynamic and markdown pricing grounded in elasticity data.

06

MLOps setup

Feature stores, CI/CD for models and automated monitoring.

Toolbox

Technology we use

Proven, well-supported tools chosen for your requirements — never for novelty.

  • Python
  • scikit-learn
  • XGBoost
  • LightGBM
  • PyTorch
  • TensorFlow
  • Spark
  • Databricks
  • MLflow
  • Feast
  • SageMaker
  • BigQuery ML

What sets us apart

Why teams choose BeyondCode

01

Product thinking, not just code

We care whether the feature moved the metric, and we will help you measure it.

02

Senior people on your project

The engineers you meet in the pitch are the engineers who build your product. No bait and switch.

03

Time zones covered

Bengaluru-based with practical overlap for the Gulf, the UK, Australia and the Americas.

04

You own everything

Code, designs, cloud accounts and store listings are in your name from day one.

05

Built to be maintained

Clean architecture, automated tests and documentation, so your software stays affordable to change.

06

Transparent, predictable pricing

Fixed-price phases or monthly teams with clear reporting. No surprise invoices.

How we work

Discover. Build. Evolve.

Three phases, one team, no handovers into the void.

01

Discover.

We dig into your goals, users, constraints and existing systems. You get a clear scope, architecture outline, risks and a fixed estimate — usually within two weeks.

02

Build.

Cross-functional sprints with a demo every fortnight. You see working software early, change direction cheaply and always know exactly where the budget stands.

03

Evolve.

Launch is the starting line. We monitor, measure and improve — or hand over cleanly to your team with documentation, training and a support window.

More on how we work

FAQ

Machine Learning Development: common questions

How much historical data do we need?

It depends on the problem, but typically 12–24 months of clean transactional data is a good starting point for forecasting and churn models.

Which countries do you work with?

We work with clients across India, the UAE, Saudi Arabia, Kuwait, Qatar, Bahrain, Oman, the USA, the UK, Australia, Canada and Singapore. Our delivery team is in Bengaluru, with a UK presence in Hampshire.

How do we get started with machine learning development?

Book a free 30-minute call. We will ask about your goals, users and constraints, then propose a short discovery phase or a direct estimate if the scope is already clear.

Start a conversation

Tell us what you are building

Share a few lines about your idea or problem. A senior consultant — not a salesperson — will reply with questions, a suggested approach and a ballpark budget.

We reply within one business day. Your details stay private — see our privacy policy.

Thirty minutes. One honest conversation.

Tell us what you are building or fixing. You will leave the call with a clearer scope, a realistic timeline and a ballpark budget — whether or not we end up working together.