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+---
+date: 2024-11-29 08:49:04+00:00
+description: My time at Filament has come to an end
+draft: false
+mp-syndicate-to:
+- https://brid.gy/publish/mastodon
+preview: /social/7d1f4353f6de9275772d0aa738bc2f54d5b527cf492bf59156c13b658f05c22c.png
+tags:
+- personal
+- work
+title: End of an Era
+type: posts
+url: /2024/11/29/end-of-an-era
+---
+
+After 8 and a half years, I'm leaving Filament, the AI consultancy-cum-investec SaaS company that I helped to build and co-found. It's been an incredible journey with lots of fun stories to tell but the time has come for me to start a new adventure. My last day at Filament is today (Nov 29th) after which I'll be taking a month off so that I can spend Christmas with family and friends.
+
+Filament is still going strong and the Syfter platform is doing better than ever. I have every faith that they will continue to grow and do well under a strong leadership team and with the technical leadership of my senior engineers who are all very capable. However, for me, the journey ends here. I'm really proud of what we built and I'm really excited about what comes next for the team.
+
+This post is a little bit of a memorial and a celebration of my time at Filament and some of my favourite moments. I've had a lot of fun reflecting on some of my favourite memories and projects. I'll write separately about what I'm up to next closer to the time.
+
+## Early Days and First Revenue
+
+We started Filament as a 'boutique' AI & ML consultancy in the summer of 2016. We set out to solve data science challenges for companies small and large using whatever the best approach might be. The founding team were a bunch of experienced folks who had built and sold a digital agency (websites and stuff) previously. I initially joined on a part time basis while working on my PhD at Warwick Uni. I brought the software engineering and ML know-how; they brought their business acumen and rolodexes.
+
+The first few months were fun but also scary. We spent a lot of time doing business development, experimenting with different offerings and trying to find a market fit. It was the height of Pokemon Go mania so one of the proofs-of-concept we worked on was an augmented reality money-saving app (think something like [Shopmium](https://www.shopmium.com/uk) or [JamDoughnut](https://jamdoughnut.com/)) where you ran around a physical store to find 'deals' and interact with them on your phone.
+
+It was also the height of the IoT craze. With some outside help from a very talented maker friend, we built a pro-bono interactive Christmas tree for [Alder Hey Children's Hospital](https://www.alderhey.nhs.uk/). The tree had "smart" lights and a little screen in its base. When you mentioned the tree on twitter or put money into a physical coin receiver (a donation to the hospital trust) the lights would flash and a little message would pop up on the screen. We had a bit of a nightmare with couriers damaging parts of the tree and spent the night before we presented it to the hospital fixing it up in our AirBnB. With that project we learned an early lesson. Maybe hardware wasn't for us...
+
+{{}}
+
+
+Even after a few short weeks, we made inroads with some really massive companies thanks to the packed out rolodexes that the other co-founders brought along. However, even with a strong network, getting a completely unheard-of 5 person company through procurement at a multinational is nearly impossible. I remember sitting around in our somewhat grotty Soho Studio just before Xmas 2016 with about 12 weeks of runway left (we were completely bootstrapped and running on fumes). We were due to hear about a big deal with a German multi-national that would save our bacon for another 6 months if it came in. The phone rang and the deal landed the day of our christmas party. We collectively breathed sighs of relief and bought cheap champagne from a Piccadilly off-license. We drank it out of plastic dixie cups.
+
+
+## Winning Clients and Cool Projects
+
+After the initial struggle, we found a successful business model selling data strategy and proof of concept projects. I'd do a lot of the data science work myself, exploratory analysis and modelling and write a personal report showcasing what we found. In some cases this led to repeat work or we'd be asked to help with hardening up the prototypes for production. In others, the company's data would yield no insights or they would take the product internally.
+
+I thoroughly enjoyed these projects and the variety of companies, people, problems and technologies that they exposed me to. My favourite project was helping a commercial aerospace logistics company to build a model that predicted which departure gates we should park planes at, taking into account delays, weather signals etc. We also did a pilot study on fast food self-service kiosks for a major international chain with great results. We didn't hear back after we presented our results but shortly afterwards they acquired a recommendations platform company. We (jokingly) like to take credit for that.
+
+During Covid we had the opportunity to help out on [Project OASIS](https://transform.england.nhs.uk/covid-19-response/data-and-covid-19/project-oasis/) which was a collaboration between the UK Government, Academia and a couple of private companies aiming to knit together data collected from covid symptom tracker apps. The project was reliant on voluntarily submitted symptom reports and did not have any contact tracing capabilities. Eventually we were completely (and rightly) blown out of the water by the official NHS covid tracking app. However, I am still really proud and honoured to have been part of that team and experience.
+
+{{