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Data Science & Machine Learning

Data problems are business problems. We investigate and solve them with a hypothesis-driven approach.

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Embed data science the right way

The data science industry has seen explosive growth in recent years. But many companies still don’t know how, or even when, to use it.

Our philosophy involves really exploring the problems your business faces, and solving them with hypothesis-driven development. Our data science services focus on demonstrable return on investment, not artificial intelligence smoke and mirrors.

We use hypotheses, not hyperbole

Data science involves setting a hypothesis, running an experiment and analysing results. This is what informs our approach: we don’t shoehorn in complex algorithms and deploy machine learning just for the sake of it.

Our goal is to find the simplest, most effective solution to your problem. 

A proven framework for data science

We support businesses at all stages of their data science journey. First, we identify obstacles and bottlenecks affecting the business. Then, we apply our expertise in data science to discover the best ways to overcome them.

The result? An outcome informed by customer and business needs.

Creating value is the top priority

Our mission is to create value through technology. Our problem-driven, scientific approach means that we’ll show the evidence our solution will work before we commit to it.

That means the systems we build don’t need you to believe in them: the results speak for themselves.

Data is not the new oil

Our years of experience have shown that most data are of low value, and that most complex machine learning models don’t produce clear business value over simpler alternatives.

Successful data science projects embrace these limitations instead of hiding them.

Getting strategy right

If your business is considering implementing a data science strategy, it needs to experiment first. By embracing a scientific, ‘learn fast, learn early’ attitude, it’s possible to avoid years of failure.

We recommend using ROI as the main indicator of success, and committing to practicable, testable ‘experiments’: not grand visions that don’t realise.

Reframing data science

The next decade of data science will look very different to the last. We anticipate the most successful data teams will primarily include ‘fixers’: Software Engineers that focus on the transformation of data to alleviate bottlenecks.

Some of the most impactful data science solutions are already deployed as software, and we see this trend continuing.

Related Services

In addition to our Data Science and Machine Learning services, we create value for some of the UK’s fastest-growing brands by assessing, advising on, and building technology. Would you like to learn more? Get in touch with our team of experts to arrange a free consultation.

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Data Science-as-a-Service
Software Development
Strong commercial focus

As trusted advisors to some of the UK’s top private equity investors, we have a strong commitment to creating business value.

We apply this approach to all our data science services.

A hand-picked team of experts

Our highly skilled team of Data Scientists are experienced in a wide range of projects and industries.

We deploy a hand-picked team of experts for every data science and machine learning engagement.

Technology agnostic

As technology agnostics, we believe in objective and strategic decision-making when it comes to choosing the best technology for each project.

We use tried-and-tested methods to get results.

We build bespoke solutions

No two data science and machine learning projects look the same.

We solve business problems by building bespoke solutions that wrap around your business and tech stack. 

Honest approach

We take pride in our honesty when delivering our data science services.

We will never sell you a solution that you don’t need, and we will always give you our honest and professional opinion. 

Agile by design

We deliver our data science services and projects with an agile methodology.

This means that delivery is fast and incremental, centered around continuous feedback and improvement.

Trusted By Leading Companies

Insights

All Insights

We were dealing with a lot of paperwork and contact points for both the medical professionals and the healthcare facilities. We needed a solution that could extract different types of data and automate manual tasks reliably and safely.

Intechnica’s team of experts built a scalable solution that exceeded our accuracy expectations. This has freed up urgently needed capacity and allowed us to re-invest focus on our partners and candidates.

Raul Firu, CTO at Doctari

From the first contact with Intechnica, it was clear they wanted to work with us as a partnership, we weren’t simply a contract. The initial consultation was far more comprehensive than we expected. They went well above what we asked of them, and the communication throughout was excellent. I would recommend Intechnica to teams of any size.

David Ives, CTO at Patchwork

We deal with tens of thousands of sales invoices across more than 500 subsidiaries and 700 accounts every month. Before we partnered with Intechnica, we spent over 150 hours every week matching payments to landlords and issuing payment requests to clients.

We wanted to free up our finance team to work on more strategic issues. Our goal was to help them spend their time working on productive, high-value tasks rather than chasing paperwork.

We partnered with Intechnica and have since completely turned around the way we manage our invoices. We expect to save £60-100k in the first year alone.

John Bromilow, CIO at Rendall & Rittner

Case Studies

Automating candidate verification for a German healthcare recruitment platform.

Matching identity documents and qualifications to users was a manual process. This method was unscalable, and an increasing backlog was preventing the business from growing. To automate the verification process, Intechnica built Doctari a bespoke platform that streamlined the previously manual tasks with high accuracy and speed.

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Helping a VC-backed healthcare staffing platform to manage their data more efficiently.

The management team at Patchwork knew that they wanted to make better use of the data, but they were unsure of the best way forward. Following the restructuring of data and some operational changes by Intechnica, Patchwork’s upskilled team was able to manage their data more efficiently.

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How we helped a market-leading estate management business save tens of thousands by automating their invoice reconciliation process.

The team at Rendall & Rittner spent 100+ hours every week reconciling invoices, matching payments to landlords and issuing payment requests to their clients. Our team of experts built a bespoke system automating the process, saving the business precious hours each week and tens of thousands in the first year alone.

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