--- url: 'https://qubit.capital/blog/uk-series-a-weekly-funding-roundup-week-4-june-2026' title: 'UK Series A Weekly Funding Roundup (Jun 15-22, 2026): $80.0M Raised Across 2 Deals' author: name: Vaibhav Totuka url: 'https://qubit.capital/blog/author/vaibhav-totuka' date: '2026-06-22T16:50:44+05:30' modified: '2026-06-22T16:50:44+05:30' type: post summary: 'Two London startups raised $80M in Series A funding this week. Conduct took $60M and Airspeed $20M, both building AI for enterprise operations.' categories: - Weekly Funding Roundup image: 'https://qubit.capital/wp-content/uploads/2026/06/featured-uk-series-a-67847.webp' published: true --- # UK Series A Weekly Funding Roundup (Jun 15-22, 2026): $80.0M Raised Across 2 Deals Two London startups closed Series A rounds this week, raising a combined $80 million. [Conduct](https://www.conduct.ai) took the larger share with a €51M ($60M) round, while Airspeed added $20M. Both companies build AI tools aimed at the inner workings of large enterprises, one at the software systems themselves and the other at the teams that sell. The week points to a clear pattern in UK enterprise tech. Founders with pedigrees from Palantir and other established firms are raising early rounds from top-tier backers like Index Ventures, ICONIQ, and SAP. The pitch in both cases is the same: AI that doesn’t just answer questions but acts inside the systems companies already run. Weekly Funding Roundup JUN 15-22, 2026 $80M TOTAL RAISED 2DEALS CLOSED 100%SERIES A $40MAVG DEAL SIZE UKTOP REGION BY STAGE Series A$80M100% BY SECTOR ConductEnterprise SaaS / AI$60M AirspeedSaaS / go-to-market$20M Table of Contents - [1. Conduct Raises $60M For Enterprise AI Operations](#1-conduct-raises-$60m-for-enterprise-ai-operations) [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. Airspeed Raises $20M For Revenue Team Automation](#2-airspeed-raises-$20m-for-revenue-team-automation) [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) - [Lessons For Founders](#lessons-for-founders) ## 1. Conduct Raises $60M For Enterprise AI Operations ### Deal Overview - **Stage:** Series A - **Sector:** Enterprise SaaS / AI - **Geography:** London, United Kingdom - **Round size:** €51M ($60M) - **Valuation:** Not disclosed ### Investor Profile Index Ventures and ICONIQ co-anchored the round, joined by SAP, Creandum, and Lucid Capital. That’s a heavyweight cap table for a Series A. Index and ICONIQ both have long records backing enterprise software through to scale. SAP’s involvement matters most. When the largest enterprise software vendor in Europe puts money into a startup that helps companies understand and rework their software estates, it signals both a distribution path and a validation of the problem. ### Company and Leadership Conduct was founded by a team of former Palantir engineers. Palantir built its business on getting deep inside the data and operations of large organizations, and that experience shapes what Conduct is doing now. The founders saw firsthand how hard it is for enterprises to make sense of the software they’ve accumulated over decades. They’re betting that same knowledge translates into a product more companies can use directly. ### Problem and Opportunity Large companies run hundreds of interconnected systems. Most teams don’t fully understand how those systems work, what depends on what, or how to change them safely. That knowledge usually lives in a handful of senior engineers’ heads. Conduct wants to make that knowledge explicit and usable. As enterprises rush to adopt AI, they first need to understand the systems AI will touch. That’s the gap Conduct is going after. ### Product and Technology Conduct is building what it calls an AI operating system for enterprise software. The platform helps companies understand, operate, and transform their existing systems rather than ripping them out and starting over. The technical edge comes from the founders’ background in mapping complex operational environments. Modeling how enterprise systems actually behave, not how their documentation says they behave, is the hard part. Getting that right creates a defensible position. ### Use of Proceeds and Vision The $60M gives Conduct room to build out its engineering team and expand the platform’s reach across enterprise customers. With SAP on board, the company has a clear route into large accounts. The longer goal is to become the layer through which enterprises operate and modernize their software. If AI is going to act inside company systems, something has to understand those systems first. ### Market Context Enterprise software spend runs into the hundreds of billions of dollars a year, and most of it goes toward systems that are hard to change. The push to make those systems AI-ready is creating a new category of tooling. Conduct competes with system integrators, observability vendors, and the internal teams companies staff to manage their own software. Its bet is that an AI-native approach beats all three on speed and depth. ## 2. Airspeed Raises $20M For Revenue Team Automation ### Deal Overview - **Stage:** Series A - **Sector:** SaaS / go-to-market - **Geography:** London, United Kingdom - **Round size:** €17.2M ($20M) - **Valuation:** Not disclosed ### Investor Profile Airspeed raised its €17.2M Series A from a group of growth-stage backers focused on go-to-market software. Investors in this space tend to look for early revenue traction and a clear wedge into the sales tech budget, which is large and well established. The round size sits in the typical band for a UK SaaS Series A, enough to scale a team and a product without forcing a premature push for revenue. ### Company and Leadership Airspeed is based in London and builds software for revenue teams. The company is part of a wave of founders applying AI agents to specific business functions rather than building general-purpose assistants. Its focus is narrow by design. Revenue operations is a function with clear workflows, measurable outcomes, and budget, which makes it a practical place to deploy agents that take action. ### Problem and Opportunity Sales and revenue teams spend a large share of their time on execution work: updating records, following up, moving deals through stages, and keeping data clean. Most of that work is repetitive and rule-bound. Airspeed wants to hand that execution to AI agents so people can spend more time selling. The opportunity grows as more of the sales stack moves toward automation. ### Product and Technology Airspeed describes its product as an agent-native go-to-market execution platform. Instead of suggesting what a rep should do next, the agents carry out the work directly inside the tools revenue teams use. The technical challenge is reliability. An agent that executes real actions in a CRM has to be accurate, because mistakes cost deals. Building agents that teams trust to act without supervision is where Airspeed’s advantage will come from. ### Use of Proceeds and Vision The $20M funds product development and growth. For a company in this category, that means hardening the agents, expanding the range of tasks they handle, and proving results with early customers. Airspeed’s vision is an execution layer that sits across the revenue stack, doing the work that today eats into selling time. If it can show measurable lift for sales teams, the budget is there. ### Market Context Sales technology is one of the largest software categories, and AI is reshaping it fast. Tools that summarize calls or draft emails are now common. The next step, agents that complete multi-step workflows on their own, is where the newer companies are competing. Airspeed faces incumbents in CRM and sales engagement plus a growing set of AI-first startups. Its narrow focus on execution, rather than insight or analytics, is how it aims to stand apart. ## Lessons For Founders - **Pedigree opens doors.** Conduct’s ex-Palantir team pulled in Index, ICONIQ, and SAP at Series A. A credible founding team shortens the path to top-tier capital. - **Strategic investors signal more than money.** SAP backing an enterprise software startup gives Conduct both validation and a distribution channel. Pick investors who can move your business, not just fund it. - **Agents that act beat agents that suggest.** Both companies sell AI that does work, not AI that gives advice. Buyers pay for outcomes, and execution is where the value sits. - **Narrow focus wins early.** Airspeed targets one function with clear workflows and budget. A specific wedge is easier to sell than a broad platform pitch. - **Enterprises need to understand their systems before they automate them.** Conduct’s whole thesis rests on this. There’s a real market in the groundwork that has to happen before AI can deliver.