Plural AI, the knowledge engine for finance

Plural AI is an AI-enabled platform designed to help finance professionals manage their knowledge and make better investment decisions. We use cutting-edge tech to turn complex problems into easy solutions.

3 members

Contact info

Link

plural.ai

Members

eddy davies

•

3rd+

the in-person socialising network → founder @ mutuals

Marc Sloan

•

3rd+

Product Manager at Figma

Adam Martin

•

3rd+

Former CTO. Currently: AI Advisory / AI Transformation ... Previously: 20 years in Product and Engineering (as CTO/VPE/etc) both B2C and B2B/SaaS, scaling tech teams, new products, improving Product/Market Fit, across startups, scaleups, and corporates. --- * Organizer of 1st Wednesday (the London CTOs meetup) * Level 4-6 CTO (CTOLevels.com) * Previous work: IC, EM, and Leadership roles in Corporates, Scaleups, and Startups Job-seeker? Try my free AI that tells you how Recruiters really see your resume/CV: --> https://chatgpt.com/g/g-VjCudyiXC-improve-your-job-application-and-cover-letter Challenges I enjoy: - Hard strategic challenges (org-wide, product, tech, and non-tech) - Innovating (product, software, hardware, and revenue-models) - Scaling orgs through people: individuals, teams, leaders At Plural AI, our team punched far above its weight doing large-scale data engineering and ML/AI for PE funds and Investment Banks. We used TypeScript, React, and Node - and wrote our own SQL-like DB (!) - to beat incumbent SaaS vendors by orders of magnitude on data-processing times. At Automata, we grew super-cross-functional teams - not just 'sales, product, and engineering' but the massively broad engineering spectrum needed to build robots (microchip design, firmware, manufacturing, supply-chain, software, hardware, all working together). Education highlights: Computer Science degree from Cambridge University, Qualified UK schoolteacher from Roehampton University, formally trained in Scrum and PRINCE2. Career highlights: invented a major software-engineering paradigm now used by tens of thousands of engineers; used LLMs since 2022; built teams from 0 to 50; built companies from 0 to $1m ARR. Core skills: - Organize and scale tech/product: from single team to multi-department - Build buy-in across functional domains (sales / prod / eng), (customers - board / C-suite / teams) - Extremely fast delivery (sw + hw) - Leading new-product design (P/MF) - Hiring: strategy, tactics, process (5-30 hires/month) - Efficiency: cost reduction (cloud/timelines/efficiency/automation) - High-uncertainty Sales: Customer Dev, P/MF discovery, etc My typical day-to-day work in a VPEng / CTO / Lead role: 1. Build alignment + mutual trust across the company 2. improve speed of delivery across the board 3. prevent strategic mistakes in org, product, design, engineering 4. mentor individuals and lead teams 5. raise the bar on teams and individual hiring RECRUITERS: I never hire candidates via recruiters that cold approached me.