--- url: 'https://qubit.capital/blog/uk-series-a-weekly-funding-roundup-week-4-march-2026' title: 'UK Series A Weekly Funding Roundup (Mar 16-23, 2026): $61.0M Raised Across 3 Deals' author: name: Vaibhav Totuka url: 'https://qubit.capital/blog/author/vaibhav-totuka' date: '2026-03-23T05:26:55+05:30' modified: '2026-03-27T15:13:33+05:30' type: post summary: 'Three UK Series A rounds raised $61M this week: Foresight ($31M, AI project delivery), Tracebit ($19M, security canaries), and Flexzo AI ($11M, NHS rostering).' categories: - Weekly Funding Roundup image: 'https://qubit.capital/wp-content/uploads/2026/03/featured-uk-series-a-64554.webp' published: true --- # UK Series A Weekly Funding Roundup (Mar 16-23, 2026): $61.0M Raised Across 3 Deals Three UK startups closed Series A rounds totaling $61 million this week, spanning AI infrastructure, cybersecurity, and healthcare staffing. The largest check went to Foresight, which pulled in $31 million for its predictive project delivery platform. Tracebit followed with $19 million for its security canary technology, and Flexzo AI secured $11 million to bring AI rostering to NHS Trusts. The deals reflect a broader pattern of investor confidence in UK tech this week. Seed-stage companies raised $11.1 million across two deals, while later-stage rounds accounted for another $57 million. Series A activity sat squarely in the middle, with all three companies targeting large, well-defined markets where legacy tools have left obvious gaps. Construction tech, breach detection, and public healthcare staffing aren’t glamorous categories, but they’re ones where AI can deliver measurable ROI fast. Weekly Funding Roundup MAR 16-23, 2026 $49M TOTAL RAISED 3DEALS CLOSED 100%SERIES A $16.3MAVG DEAL SIZE UKTOP REGION BY STAGE Series A$49M100% BY SECTOR ForesightAI / Construction Tech$25M TracebitCybersecurity$15M Flexzo AIHealthtech$9M Table of Contents - [1. Foresight Raises $31M For AI-Powered Infrastructure Delivery](#1-foresight-raises-$31m-for-ai-powered-infrastructure-delivery) [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. Tracebit Raises $19M For Security Canary Platform](#2-tracebit-raises-$19m-for-security-canary-platform) [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. Flexzo AI Raises $11M For NHS AI Rostering](#3-flexzo-ai-raises-$11m-for-nhs-ai-rostering) [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) - [Lessons For Founders](#lessons-for-founders) ## 1. Foresight Raises $31M For AI-Powered Infrastructure Delivery ### Deal Overview - **Stage:** Series A - **Sector:** AI / Construction Tech - **Geography:** London, UK (offices in New York and Tel Aviv) - **Round Size:** £25M (~$31M) - **Lead Investor:** Macquarie Capital Venture Capital ### Investor Profile Macquarie Capital’s venture arm led the round, a significant signal given Macquarie’s deep roots in infrastructure investment and asset management. Creandum, an early backer, doubled down. ISAI Build, the venture arm of French construction giant Bouygues Group, also participated. Having a major infrastructure conglomerate’s VC on the cap table validates the product’s relevance to real-world builders. ### Company and Leadership [Foresight](https://www.foresight.works) was founded in 2018 by Igor Shifrin, Dr. Atif Ansar, and Vladimir Shifrin. Igor spent 15+ years in infrastructure investment at Morgan Stanley, Bridgepoint, and York Capital. Dr. Ansar holds an Oxford PhD in Major Programme Management and directs programmes at Oxford’s Saïd Business School. That academic-practitioner combination is unusual and gives the company credibility with both investors and clients. ### Problem and Opportunity Roughly 90% of large infrastructure projects are delivered late or over budget. The tools most project teams rely on, static Gantt charts and spreadsheets, weren’t designed for the complexity of hyperscale data centers or multi-billion-dollar defence programmes. As the global infrastructure supercycle accelerates (CHIPS Act, AI buildout, energy transition), the execution gap is widening. ### Product and Technology Foresight replaces static scheduling with a continuously updated control system. It establishes baseline schedules in days, ingests real-world execution signals from multiple stakeholders, validates progress, and uses AI grounded in Nobel Prize-winning research in psychology and economics to forecast risks months ahead. Clients include Google and Compass Datacenters. The platform currently oversees $100 billion or more in active projects, and 1-in-5 data center owners globally use it. ### Use of Proceeds and Vision Funds will deepen product capabilities, grow the engineering and go-to-market teams, and push into power, defence, and advanced manufacturing. Foresight is positioning itself as the operating system for infrastructure delivery at a time when the world is spending trillions on new builds. ### Market Context Legacy tools like Primavera P6 and Microsoft Project dominate but weren’t built for AI-era infrastructure demands. Construction tech players like Procore and Autodesk Construction Cloud cover adjacent territory but don’t combine predictive AI with hyperscale execution signal integration. The market opportunity is enormous and growing. ## 2. Tracebit Raises $19M For Security Canary Platform ### Deal Overview - **Stage:** Series A - **Sector:** Cybersecurity - **Geography:** London, UK (new NYC office) - **Round Size:** £15M (~$19M) - **Lead Investor:** FirstMark Capital ### Investor Profile FirstMark Capital led the round from New York, signaling Tracebit’s US ambitions. Accel, which led the $5 million seed in July 2024, came back in. MMC Ventures and mix VC also participated. Angel investors from the seed round included Guy Podjarny, the founder of Snyk, and the founders of Tessian, where both Tracebit co-founders previously worked. ### Company and Leadership [Tracebit](https://www.tracebit.com) was founded in 2023 by Andy Smith (CEO) and Sam Cox (CTO), both formerly at Tessian. Total raised now stands at $25 million. The company has opened a US office near Union Square in New York to support its growing American customer base. ### Problem and Opportunity Security teams are drowning in alerts, most of which turn out to be false positives. Meanwhile, the average breach goes undetected for months. Deception technology flips the model: instead of trying to spot attackers in a flood of legitimate activity, you plant decoys that only an intruder would touch. Any interaction is a confirmed threat. ### Product and Technology Tracebit deploys millions of synthetic decoy assets across cloud environments: fake AWS session tokens, SSH keys, browser cookies, password manager credentials, LLM canaries, and API keys. The moment anything touches a canary, a high-fidelity alert fires. False positive rates are near zero because no legitimate process interacts with these assets. The platform monitors roughly 5 billion events per week and generates millions of canaries daily. Customers include Riot Games, Snyk, Docker, Synthesia, and Admiral Insurance. A free Community Edition is available. ### Use of Proceeds and Vision The funding will accelerate product development with new canary types and broader cloud coverage, expand the US presence through the NYC office, and grow engineering and sales teams across both the UK and US. Long-term, Tracebit wants deception-based detection to become a standard layer in every enterprise security stack. ### Market Context The global cybersecurity market exceeds $200 billion. Deception technology is a roughly $2.5 billion segment growing rapidly alongside cloud adoption. Previous players like Attivo Networks (acquired by SentinelOne) and Illusive Networks (acquired by Proofpoint) validated the category. Tracebit differentiates with its cloud-native architecture and automated deployment. EU’s NIS2 directive and SEC cybersecurity disclosure rules are pushing enterprises to upgrade detection capabilities. ## 3. Flexzo AI Raises $11M For NHS AI Rostering ### Deal Overview - **Stage:** Series A - **Sector:** Healthtech - **Geography:** United Kingdom - **Round Size:** £9M (~$11M) ### Investor Profile Investor details for this round have not been publicly disclosed. The round reflects growing appetite for AI solutions targeting public healthcare operations, where procurement cycles are long but contracts tend to be sticky and large-scale. ### Company and Leadership [Flexzo AI](https://www.flexzo.ai) builds agentic AI rostering software designed for NHS Trusts. The company has been focused on solving one of the NHS’s most persistent operational headaches: staffing efficiency and the heavy reliance on expensive agency workers. ### Problem and Opportunity The NHS spends billions each year on temporary agency staff to fill roster gaps. Manual rostering processes are slow, error-prone, and often leave wards understaffed or overstaffed. The result is wasted budget, burned-out clinicians, and inconsistent patient care. AI-driven scheduling can match staff to shifts based on skills, preferences, and demand patterns far more effectively than spreadsheets or legacy systems. ### Product and Technology Flexzo AI’s platform uses agentic AI to automate roster creation and optimization across NHS Trusts. The system aims to reduce dependency on agency staffing by filling shifts with permanent and bank staff first, cutting costs while improving coverage. The agentic approach means the software can handle complex, multi-constraint scheduling problems that traditional rule-based tools struggle with. ### Use of Proceeds and Vision The company plans to scale its presence across more NHS Trusts and expand into the US market. Reducing agency costs while improving staffing quality is a value proposition that translates across public and private healthcare systems globally. ### Market Context NHS workforce management is a multi-billion-pound market. Agency spending has been a political flashpoint for years, and NHS Trusts are under pressure to adopt technology that can bring costs down. Competition comes from legacy roster platforms like Allocate (now RLDatix) and newer entrants, but few have built AI-native scheduling from the ground up. ## Lessons For Founders - **Academic credibility converts to commercial trust.** Foresight’s Oxford research roots helped it win Google and Compass Datacenters as clients. If your technology has a genuine academic foundation, make it visible. Investors and enterprise buyers treat peer-reviewed research as a risk-reducer. - **Near-zero false positives beat feature lists.** Tracebit’s core selling point isn’t a long feature list. It’s one metric: almost no false alarms. If you can identify a single number that matters more than anything else to your buyer, build your entire pitch around it. - **Public sector pain creates durable moats.** Flexzo AI is targeting NHS procurement, which is notoriously slow. But once you’re in, switching costs are enormous. If you have the patience for long sales cycles, government and public healthcare can be incredibly defensible markets. - **Strategic investors signal market readiness.** Macquarie (infrastructure) backing Foresight and Bouygues Group’s VC joining the round tell the market that the buyers themselves see this technology as necessary. Strategic capital from your target industry is worth more than its dollar value.