AI & Data Engineering

AI & Data Engineering

WHEN YOU NEED US

Here’s what could be holding you back.

Your AI pilot needs to work beyond the demo.

It performs well on selected examples, but real documents, incomplete data or unexpected questions expose the gaps. You need evidence that it is ready for everyday use.

You know what you want to build. You need the engineering capability.

A forecasting model, an intelligent search feature or an AI agent is already on your roadmap. You need specialists who can work with your team and take it through to deployment.

Every team has a different version of the numbers.

Sales, finance and operations work from separate systems. Getting a clear picture means exporting spreadsheets, reconciling figures and questioning which report to trust.

Preparing the data takes longer than using it.

Your analysts keep cleaning files and fixing broken data feeds. The reporting, forecasting and product improvements you need stay in the backlog.

WHAT WE DELIVER

Two disciplines. Engage us for either, or both.

We follow a collaborative, iterative approach that keeps your team in the loop at every stage. No black boxes. No surprises. Just predictable delivery and measurable progress.

1

AI agents and system integration

Build agents that can retrieve information, use business tools and carry out defined tasks across your systems, from handling service requests to preparing proposals. We define what each agent can access, which actions require approval and how exceptions reach a person.

2

Generative AI and knowledge systems

Make your organisation’s knowledge accessible inside the tools people already use. We build applications that search internal information, interpret documents and summarise content, using RAG, semantic search and vector databases, with source references and access controls.

3

Machine learning and predictive intelligence

Use historical data, text and images to predict outcomes and identify patterns: forecasting, classification, anomaly detection, natural language processing and computer vision. We measure each model against your current approach.

4

Data platforms and architecture

Give reporting, analytics and AI a dependable place to access the data they need. We design and build cloud data platforms and warehouses, structured around your business.

5

Data pipelines

Replace repeated exports and fragile scripts with pipelines that collect, transform and deliver data from your systems, with testing and monitoring built in.

6

Analytics and business intelligence

Give your teams consistent answers to the questions they make decisions on, with shared metric definitions and dashboards built around how the information will be used.

HOW WE WORK

Built for the conditions it will actually face.

Partnering with Awesomity gives you more than a development team. You get engineers who understand your business, product owners who manage complexity on your behalf, and a delivery process designed for accountability.

1

Start with your use case and existing environment.

We review the systems, data and work already in place. Together, we agree what success means, whether that is fresher reporting, more accurate predictions or less time spent handling a request.

2

Build quality and governance into the foundations.

We establish data validation, access permissions, clear ownership and lineage so your team can trace how information reaches a report or model. Gaps in the source data become visible early.

3

Test against real examples.

We test pipelines and models using representative data, including incomplete records, unusual inputs and failure scenarios. For AI applications, we evaluate output quality, response time and operating cost, with human review where the task requires it.

4

Deploy, monitor and keep improving.

We integrate the solution into your environment and establish the DataOps and MLOps practices needed to maintain it. That includes version control, deployment pipelines, monitoring and alerts for failures or declining performance. Documentation, handover and ongoing support are agreed as part of delivery.

Built for the conditions it will actually face.

THE TECHNOLOGIES

The technologies we work with most.

Python
LangChain
PostgreSQL

OUR WORK

Built and running in the Real World

50+ projects across 8 countries — partnering with the Government of Rwanda, Volkswagen, OX Delivers, Hallo, GIZ, Tearfund, NSFO, NL-IX, and many others.

 Evala - Communication Assessment Platform

Evala - Communication Assessment Platform

Client: Impactify - Canada

Building an AI platform that tells hires who can actually communicate, not just who passes a test.

Read more about Evala - Communication Assessment Platform

Client logo

2022

NSFO Platform

NSFO Platform

Client: NSFO - The Netherlands

Digital agriculture platforms, livestock management and AI solutions for sheep and goat breeding across the Netherlands

Read more about NSFO Platform

Client logo

2023

AMIS Mobile Application

AMIS Mobile Application

Client: MINAGRI - Rwanda

Supporting livestock registration and field services in Rwanda through connected and offline mobile workflows.

Read more about AMIS Mobile Application

Client logo

2022

Start with Discovery

Ready to build software that delivers Real results?

Let's start with a discovery call. We'll analyse your existing technology landscape, identify quick wins, and propose a scoped trial to demonstrate our value — before you commit.