Fuzzy Labs2
Putting innovation at the core of what we do.
Manifesto
We started Fuzzy Labs in 2019 out of curiosity. Curious about the journey of starting a business and curious about the journey we could go on with a new wave of technology.
That curiosity still exists today. The landscape of technology we are working with is constantly changing and we need to keep on 'just trying it' (one of our core values) or we'll cease to exist as an organisation.
5 years ago our 'go to market' plan was to come up with a crazy idea, build it in the open and then hopefully attract people that wanted to work with and for us. It worked. Starting with AI for your feet, then the Dobble machine, Matcha, MindGPT and most recently Fuzzability.
By doing these things we create a vehicle to help satisfy those initial curiosities. We can try new stuff AND we can build a business by doing it.
A vehicle for innovation
We want to elevate innovation as a core activity at Fuzzy Labs. For it to be something we deliberately invest in, with dedicated resources and a roadmap of projects. To do that, we’re proposing Fuzzy Labs Labs — i.e. Fuzzy Labs² — as a vehicle for innovation, research, and collaboration across industry and academia.
Innovation projects serve a number of important ends for us at Fuzzy Labs:
1. Demonstrating our capabilities: Showcasing Fuzzy Labs' rock-solid engineering in production AI, attracting new customers and people that want to work with us.
2. Highlighting our commitment to positive impact: This technology has the power to change the world - good and bad. We choose to only work with customers and projects that demonstrate how AI/ML can be used for good.
3. MLOps innovation: We’re not aiming to innovate in the field of AI/ML per se, but we recognise that there are lots of problems in the productionisation of AI/ML that nobody has figured out how to do well, and that’s where we can innovate.
4. Freedom to experiment: in a less constrained way (compared with a customer project). For instance, we can try XYZ crazy graph retrieval library, or synthetic data generators, or Rust, etc, if we think it's something we might use in the future.
5. Contributing to the community: By openly sharing our work we will hopefully inspire others. Community feedback keeps us to account both in terms of the quality but also the purpose of our work.
The Three Tests
In a world of infinite possibilities, Fuzzy Labs² will prioritise projects that allow us to innovate in MLOps and solve real-world challenges. We’ll look to our customers, partners and our own interests to inspire new project ideas. Our focus will include sectors we care about such as health and the environment.
Each Fuzzy Labs2 project must satisfy three essential tests.
1. Novelty: are we trying something new in MLOps, or in the wider field of AI/ML that has potential to be commercialised?
2. Great MLOps: does the project allow us to showcase our MLOps tools and techniques?
3. Positive impact: are we demonstrating an application of AI/ML and MLOps with a positive impact that clearly maps to one of the UN Sustainable Development Goals?
Taken together, these tests are designed to keep us focused on work that is genuinely innovative, without losing sight of our values.
Learn More
We want to be completely open about the work we do with Fuzzy Labs2. All of our work will be open sourced and we will have a public Notion space that documents the progress of our projects so that you can see what we're working on, why we've chosen to work on it and how we are progressing with it.
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Heron House
1 Lincoln Square, Manchester
England, M2 5LN
0161 533 0337
