On a quick call (30 mins or less), we’ll discuss your business, your needs and whether or we’re an ideal fit. We’re happy to answer whatever questions you may have.
Statement of Work
When we’re confident we’ve found the optimal solution path for your business, we’ll put together a detailed statement of work for your review. You’ll know exactly what to expect from our engagement, with proposed costs and timelines clearly outlined.
To protect your information, we’ll review terms of engagement, including confidentiality, liability and IP, signing a master agreement that minimises the risk for both parties.
With your approval, we get to work building your solution. We connect with you regularly, sending updates and answering any questions that arise. Deliverables are billed and presented in 40 MH chunks.
Analysis & Proposal
On most engagements, we’ll undertake a paid, comprehensive analysis of your technology, use-cases and challenges, delivering a detailed review and our proposed solution.
When your solution has been developed in full, we’ll review with you to be sure that we’ve delivered as promised.
In many cases, we’ll work with you on an ongoing retainer to help integrate our work into your existing systems.
Technology audits & machine learning consulting
Inefficient systems waste time, money and opportunities. We help you get them all back.
Just because a solution works, doesn’t mean it’s working well.
Whether it’s inefficient data processes, unscalable architecture or poor engineering practices, the issues that damage performance are usually easy to understand, but hard to identify.
That is, unless you know what you’re looking for.
We analyse all elements of your pipeline – your architecture, algorithms, processes and code – to expose inefficiencies, identify their causes and show you how to solve them.
You get a report full of specific, actionable recommendations that will…
- Expose issues and eliminate bottlenecks, with help from renowned data scientists
- Increase revenue by improving the accuracy and quality of your algorithms and products
- Speed up your code while improving scalability and reducing maintenance time and costs
- Improve your processes with better structure, style, documentation and testing