Tractable
AI for accident & disaster recovery
- 201-500 employees
- B2B
- Artificial Intelligence
- Insurance
- Computer Vision
- Machine Learning
- Old Street, London, UK
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Company mission
To use the latest breakthroughs in AI to solve real-world problems and improve people's lives globally.
Our take
Accidents and natural disasters cause roughly $1 trillion of damage each year, so Tractable is tackling a massive problem.
Recovery typically starts with damage appraisal to assess how much it's going to cost and unlock the costs to rebuild. However, getting those appraisals takes a lot of time and this delays rebuilding. Tractable use AI and computer vision to do the same job ten times quicker.
The company initially focused on car damage and developed a customer base of major insurers such as Admiral, Aviva and Geico. This has served the company well as it expanded into adjacent verticals such as property insurance and auto salvage, where the same companies could apply Tractable's technology to their insurance products in those areas.
Following a substantial 2021 Series D funding round which saw the company exceed a $1 billion valuation, Tractable is now officially the UK’s first computer vision Unicorn company. This tremendous growth combined with the rapidly growing capabilities of computer vision points to a very bright future for Tractable.
Freddie
Company Specialist at Welcome to the Jungle
Benefits
- Pension scheme
- Generous equity package
- 6 month salary reviews
- Flexible hours and 3 days WFH per week
- Generous maternity and paternity leave
- Ability to work from abroad for 6 weeks/year
- Access to mental health and wellbeing providers (Sanctus, Headspace)
- Private healthcare
- Learning and Development budget
- Learnerbly subscription
Funding (last 2 of 6 rounds)
Jul 2023
$65m
SERIES E
Jun 2021
$60m
SERIES D
Total funding: $179.9m
This company has top investors
Leadership
Alex Dalyac
(CEO)They started their career in asset management. They have a Ph.D. in Computer Science from Imperial.
Razvan Ranca
(CTO)They have experience as a Research Assistant, having gained a MPhil in Computer Science/Machine Learning at Cambridge university.