--- url: 'https://qubit.capital/blog/uk-seed-weekly-funding-roundup-week-3-march-2026' title: 'UK Seed Weekly Funding Roundup (Mar 14-21, 2026): $19.5M Raised Across 4 Deals' author: name: Mayur Toshniwal url: 'https://qubit.capital/blog/author/mayur' date: '2026-03-21T08:54:43+05:30' modified: '2026-03-21T19:09:31+05:30' type: post summary: 'UK seed funding roundup: VerbaFlo raises $7M for real estate AI, Steward lands $5M for AML compliance, Chalkie gets $4M for edtech, Sequential closes $3.5M.' categories: - Weekly Funding Roundup image: 'https://qubit.capital/wp-content/uploads/2026/03/featured-uk-seed-64463.webp' published: true --- # UK Seed Weekly Funding Roundup (Mar 14-21, 2026): $19.5M Raised Across 4 Deals The UK seed market posted a strong week with four deals totalling $19.5M across AI, fintech, edtech, and healthtech. The largest round went to VerbaFlo, a conversational AI platform for real estate that pulled in $7M led by Pi Labs, while Steward secured $5M from Motive Partners to tackle AML compliance for complex investor structures. Chalkie and Sequential rounded out the cohort with $4M and $3.5M respectively. A clear pattern emerges across all four deals: deep vertical specialisation. Each company has chosen a specific industry niche and built purpose-built AI or data infrastructure rather than competing as horizontal platforms. Investors are rewarding founders who combine domain expertise with proprietary datasets that compound over time. The presence of specialist sector investors across every deal — Pi Labs in proptech, Motive Partners in fintech infrastructure, Triple Point in edtech, and SOSV plus Sparkfood in biotech — reinforces that thesis-driven capital is flowing to founders who know their verticals cold. Weekly Funding Roundup MAR 14-21, 2026 $19.5M TOTAL RAISED 4DEALS CLOSED 100%SEED $4.875MAVG DEAL SIZE UKTOP REGION BY STAGE Seed$19.5M100% BY SECTOR VerbaFloAI / Proptech$7M StewardFintech / Regtech$5M ChalkieAI / Edtech$4M SequentialHealthtech / Biotech$3.5M Table of Contents - [1. VerbaFlo Raises $7M For Conversational AI In Real Estate](#1-verbaflo-raises-$7m-for-conversational-ai-in-real-estate) [Deal Overview](#deal-overview) - [Investor Profile](#investor-profile) - [Company and Leadership](#company-and-leadership) - [Problem and Opportunity](#problem-and-opportunity) - [Product and Technology](#product-and-technology) - [Use of Proceeds and Vision](#use-of-proceeds-and-vision) - [Market Context](#market-context) - [2. Steward Raises $5M For AI-Powered AML Compliance](#2-steward-raises-$5m-for-ai-powered-aml-compliance) [Deal Overview](#deal-overview-1) - [Investor Profile](#investor-profile-1) - [Company and Leadership](#company-and-leadership-1) - [Problem and Opportunity](#problem-and-opportunity-1) - [Product and Technology](#product-and-technology-1) - [Use of Proceeds and Vision](#use-of-proceeds-and-vision-1) - [Market Context](#market-context-1) - [3. Chalkie Raises $4M For AI Lesson Planning Platform](#3-chalkie-raises-$4m-for-ai-lesson-planning-platform) [Deal Overview](#deal-overview-2) - [Investor Profile](#investor-profile-2) - [Company and Leadership](#company-and-leadership-2) - [Problem and Opportunity](#problem-and-opportunity-2) - [Product and Technology](#product-and-technology-2) - [Use of Proceeds and Vision](#use-of-proceeds-and-vision-2) - [Market Context](#market-context-2) - [4. Sequential Raises $3.5M For Genomic Skincare AI](#4-sequential-raises-$3-5m-for-genomic-skincare-ai) [Deal Overview](#deal-overview-3) - [Investor Profile](#investor-profile-3) - [Company and Leadership](#company-and-leadership-3) - [Problem and Opportunity](#problem-and-opportunity-3) - [Product and Technology](#product-and-technology-3) - [Use of Proceeds and Vision](#use-of-proceeds-and-vision-3) - [Market Context](#market-context-3) - [Lessons For Founders](#lessons-for-founders) ## 1. VerbaFlo Raises $7M For Conversational AI In Real Estate ### Deal Overview - **Stage:** Seed - **Sector:** AI / Proptech - **Geography:** United Kingdom - **Round Size:** $7M (total funding ~$9M) - **Lead Investor:** Pi Labs ### Investor Profile Pi Labs led the round with participation from Haatch, Navigate Ventures, and Old College Capital. Pi Labs is Europe’s leading proptech-focused venture fund, giving VerbaFlo direct access to a portfolio network of real estate operators and technology buyers. Haatch brings deep experience backing early-stage UK startups with strong unit economics. The investor mix signals conviction in vertical AI applied to property management at scale. ### Company and Leadership [VerbaFlo](https://www.verbaflo.com) was founded in October 2024 by Sayantan Biswas (CEO), Abhishek Garg, VP Singh (COO), and Dan Smith. Biswas previously co-founded UniAcco, giving him firsthand experience with property operations at scale. In roughly 16 months since founding, VerbaFlo has scaled to over 200,000 managed units globally — a velocity that caught investor attention. ### Problem and Opportunity Real estate operators drown in repetitive tenant and prospect communications across email, WhatsApp, web chat, and phone. Most property management teams handle these manually, leading to missed enquiries, slow response times, and inconsistent service. The problem compounds as portfolios grow and tenants expect 24/7 responsiveness in their own language. With the global proptech market projected to grow from $45.7B to $178.5B by 2035, the opportunity for purpose-built communication infrastructure is substantial. ### Product and Technology VerbaFlo is a conversational AI communications platform purpose-built for real estate operators. It centralises all tenant and prospect interactions into a single AI-powered layer that responds around the clock in over 200 languages. The platform supports 40+ use cases spanning enquiry management, lead qualification, booking scheduling, resident onboarding, and ongoing engagement. It is live across 10 countries and adding approximately 30,000 units per month. The vertical depth — trained specifically on property lifecycle communications — gives it an accuracy advantage over generic chatbot solutions. ### Use of Proceeds and Vision The funds will accelerate US market entry, deepen VerbaFlo’s presence in the Middle East, Australia, and South Africa, and expand the product across new use cases. The company positions itself as the AI communications operating system for global real estate — analogous to what Salesforce built for CRM, but natively designed for conversational workflows in residential property. ### Market Context Competitors in the conversational real estate AI space include Elise AI and Knock in the US, plus general-purpose leasing automation tools. Few operate at VerbaFlo’s breadth of use cases or geographic footprint. The combination of 200,000+ managed units and multi-language coverage creates high switching costs once embedded in a property management stack, giving VerbaFlo a data moat that widens with every new deployment. ## 2. Steward Raises $5M For AI-Powered AML Compliance ### Deal Overview - **Stage:** Seed - **Sector:** Fintech / Regtech - **Geography:** United Kingdom (dual HQ: London and New York) - **Round Size:** $5M (heavily oversubscribed) - **Lead Investor:** Motive Partners ### Investor Profile Motive Partners led the round alongside Outward VC. Motive Partners is a specialist fintech infrastructure investor with deep relationships across the financial services industry. Their involvement signals that Steward is building category-defining compliance infrastructure, not just another KYC tool. For a seed-stage company to attract a dedicated fintech PE firm is a strong signal of product-market fit in regulated markets. ### Company and Leadership [Steward](https://getsteward.ai) was founded in 2025 by Arik Oslerne (CEO) and Moshe Lieberman (Chief AI Officer). Oslerne previously served as COO of Vauban, giving him direct exposure to the pain of investor onboarding in private markets. Lieberman was an early employee at both Lemonade and Fiverr, bringing deep experience in building AI-first products at scale. At the time of the raise, Steward was already trusted with over $100 billion in investor assets under monitoring. ### Problem and Opportunity Investment firms managing complex investor bases — fund-of-funds, family offices, offshore trusts — face enormous compliance overhead during onboarding. Legacy AML tools were built for retail banking and fail on multi-layered ownership structures and cross-border entities. Manual compliance processes are slow, expensive, and error-prone, creating bottlenecks that delay capital deployment. As regulatory scrutiny increases globally, the demand for purpose-built compliance infrastructure is growing rapidly. ### Product and Technology Steward is an AI-first AML/KYC compliance platform purpose-built for complex investor onboarding and ongoing monitoring. AI agents interpret layered ownership structures and cross-border entities, consolidating document collection, investor screening, risk assessment, and periodic reviews into a single automated workflow. The platform uses no-code, risk-based workflows and a proprietary risk model tailored to each customer. It covers KYC, KYB, and KYI across the US, UK, and EU, achieving same-day onboarding in 80% of cases regardless of investor complexity. ### Use of Proceeds and Vision Steward will use the capital to expand product capabilities, scale the team, and deepen automation across AML/KYC workflows in the US, UK, and EU. The vision is to become the default investor compliance operating system for the investment management industry — critical infrastructure for private markets funds, banks, brokers, and UCITS managers. ### Market Context The global AML software market is large and growing, driven by tightening regulatory requirements worldwide. Off-the-shelf compliance tools consistently underperform on complex investor structures, creating a clear gap. Motive Partners’ dedicated fintech infrastructure thesis validates the category, and the $100B in assets already under monitoring gives Steward a substantial head start in building proprietary risk models. ## 3. Chalkie Raises $4M For AI Lesson Planning Platform ### Deal Overview - **Stage:** Seed - **Sector:** AI / Edtech - **Geography:** United Kingdom (Sheffield) - **Round Size:** $4M - **Lead Investor:** Triple Point Ventures ### Investor Profile Triple Point Ventures led the round, following on from their £1M pre-seed investment in October 2025. The decision to double down at seed after just five months reflects conviction in Chalkie’s growth trajectory. Triple Point’s portfolio spans early-stage UK technology, and their continued backing gives Chalkie continuity of investor relationship as it scales internationally. ### Company and Leadership [Chalkie](https://www.chalkie.com) was founded in 2024 by Mark Hughes, Pete Sanderson, and Phillip Daneshyar. Hughes previously founded Tutorful, growing it to 10,000+ tutors and over 4 million hours of online tutoring — giving him deep insight into what teachers need. Sanderson was an early hire and Head of Design at Tutorful, while Daneshyar co-founded Kanda and brokered over £60M in loans. Within roughly one year, Chalkie has scaled to over 500,000 teachers and 10 million students globally. ### Problem and Opportunity Teacher workload and burnout is a systemic crisis. Lesson planning consistently ranks among the top three most time-consuming non-teaching tasks. Teachers spend hours every week creating plans, worksheets, and differentiated materials — time that could be spent on actual instruction. Generic AI tools produce content that is not curriculum-aligned and requires significant editing, failing to solve the core problem. Chalkie targets this gap directly. ### Product and Technology Teachers input a topic, select their curriculum framework, and Chalkie generates a complete, curriculum-aligned lesson plan in seconds — including professionally designed teaching materials and differentiated activity sheets for mixed-ability classrooms. The key differentiators are curriculum specificity, automatic differentiation for mixed-ability groups, and professional-grade output quality. Teachers report saving an average of five hours per week, with 90% strongly agreeing the platform contributes to their long-term professional well-being. Word-of-mouth growth among teachers provides a low-CAC distribution advantage. ### Use of Proceeds and Vision The capital will fund engineering hires, AI technology enhancements, expansion into new international markets, and additional product features. Chalkie’s mission is to help teachers fall back in love with teaching by eliminating administrative burden. The broader vision is to become the essential AI productivity layer within the teacher workflow — starting with lesson planning and expanding to assessment and classroom management. ### Market Context Competitors include MagicSchool AI, Eduaide.AI, Quizizz, Kiddom, and Twinkl. Most tools are US-centric or curriculum-agnostic. Chalkie’s UK origins and deep curriculum specificity provide defensibility in UK and Commonwealth markets, where curriculum alignment is non-negotiable. The scale of 500,000 teachers in one year demonstrates product-market fit that is difficult for generic tools to replicate. ## 4. Sequential Raises $3.5M For Genomic Skincare AI ### Deal Overview - **Stage:** Seed (first equity round) - **Sector:** Healthtech / Biotech - **Geography:** United Kingdom (labs in Cambridge, NYC, and Singapore) - **Round Size:** $3.5M (total funding $7.5M including non-dilutive) - **Investors:** Sparkfood, Corundum Systems Biology, Dermazone Holdings, SOSV, Scrum Ventures ### Investor Profile The syndicate combines deep biotech expertise with beauty industry connections. SOSV is a top-tier deep-tech and life sciences accelerator fund with a strong track record in biotech. Sparkfood and Corundum Systems Biology bring domain-specific knowledge in skin biology and systems biology. Dermazone Holdings adds direct industry distribution potential. Scrum Ventures rounds out the syndicate with cross-border venture experience linking the UK, US, and Asia. ### Company and Leadership [Sequential](https://www.sequential.skin) was co-founded by Oliver Worsley (CEO) and Albert, both PhDs in molecular genetics from the Genome Institute of Singapore. Worsley won the top prize at the L’Oréal Innovation Runway in 2018, earning early credibility in the beauty science world. The company is backed by Innovate UK and Enterprise Singapore, with labs operating across three continents. ### Problem and Opportunity Beauty and skincare brands spend billions on ingredient R&D but lack the tools to objectively measure how ingredients affect skin biology at a molecular level. Most product claims rely on subjective consumer surveys rather than biological evidence. For inflammatory conditions like acne, atopic dermatitis, and rosacea, the gap between marketing claims and clinical efficacy is wide. Sequential fills this gap with hard science. The global personalized skincare market reached $33B in 2025 and is projected to hit $61.6B by 2033. ### Product and Technology Sequential has built a proprietary non-invasive testing platform that quantifies how ingredients and products alter microbial and host skin biomarkers. The multi-omic approach analyses the skin microbiome, genomics, and epigenomics from non-invasive samples. On top of a proprietary dataset of 50,000+ skin microbiome samples, 4,000+ ingredients tested, and 10,000+ participants worldwide, Sequential is building an AI-powered discovery engine for next-generation active ingredient identification. This dataset is extremely difficult to replicate and grows with every client engagement. ### Use of Proceeds and Vision The funds will develop the AI-powered discovery engine, enhance ingredient discovery capabilities, scale clinical testing across more geographies, and expand lab operations. Sequential positions itself as the genomics infrastructure that beauty brands, pharma, and biotech companies use to discover, validate, and differentiate ingredients at a molecular level — a B2B platform rather than a consumer brand. ### Market Context Competitors include L’Oréal, Estée Lauder, and P&G building internal genomics capabilities, plus startups like Debut Biosciences and Skin + Me. Sequential differentiates by operating as B2B infrastructure rather than competing with its own customers. The compounding dataset flywheel — where every client engagement adds to the proprietary sample library — creates a widening moat that single-brand approaches cannot match. ## Lessons For Founders - **Vertical AI wins over horizontal.** All four funded companies chose a specific industry vertical — real estate, investment compliance, education, skincare genomics — and built purpose-built AI rather than competing as general-purpose platforms. Investors are paying a premium for domain depth over breadth. - **Proprietary data compounds into defensibility.** VerbaFlo’s 200,000+ managed units, Steward’s $100B in assets under monitoring, Chalkie’s 500,000 teachers, and Sequential’s 50,000+ skin samples all demonstrate the same pattern: usage generates proprietary data that makes the product harder to replicate with every deployment. - **Sector-specialist investors accelerate more than capital.** Pi Labs opened proptech networks, Motive Partners validated fintech infrastructure, Triple Point doubled down from pre-seed with conviction, and SOSV brought deep-tech credibility. Choose investors who can open doors in your specific market. - **Speed to scale proves the thesis.** VerbaFlo reached 200,000 units in 16 months. Chalkie hit 500,000 teachers in one year. Steward had $100B under monitoring before its seed closed. Rapid traction at seed stage is no longer optional — it is expected. - **Founder-market fit matters more than pedigree.** Biswas built UniAcco before VerbaFlo. Oslerne ran compliance at Vauban. Hughes founded Tutorful before Chalkie. Worsley won L’Oréal’s innovation prize. Every founder had direct, painful experience with the problem they now solve.