Qoro raises £560k pre-seed to orchestrate hybrid quantum-classical workloads with minimal code
This article covers Qoro, a quantum startup, which has raised £560,000 in a pre-seed funding round to accelerate engineering hires, match grant projects and speed product rollout. The funding backs development of a middleware software stack intended to reduce integration work for hybrid quantum-classical workloads and to help enterprises integrate quantum processors with existing compute infrastructure.
Qoro, a quantum startup building infrastructure to let quantum and classical systems operate as one, has raised £560,000 in a pre-seed funding round to accelerate engineering hires, match grant projects and speed product rollout. The funding backs a software stack designed to reduce the integration work required to run hybrid quantum-classical workloads in enterprise environments.
Why it matters
Enterprises experimenting with quantum hardware face a fragmentation problem. Early quantum processors sit alongside CPUs and GPUs, but making them work together typically demands specialist teams, months of engineering and roughly 150,000 lines of integration code. Qoro says its approach cuts that to about 20 lines of code and shortens timelines from months to weeks, potentially lowering the barrier for businesses to try hybrid workflows.
That matters because, while much of the sector and capital remains focused on building physical quantum machines, software that orchestrates heterogeneous compute could determine which early use cases are commercially viable. If Qoro’s claims hold up in production, it would make experimental quantum workloads easier to integrate into existing enterprise pipelines.
Inside the product
Qoro provides a middleware layer that brokers work between quantum and classical systems so they behave as a single logical platform. Key technical features highlighted by the company include multilayered parallelisation across heterogeneous hardware rather than sequential queuing of quantum jobs, and an API surface intended to cut integration effort to minimal lines of code.
The platform is positioned as an orchestration layer: it schedules, parallelises and routes subtasks across CPUs, GPUs and quantum processors, and it aims to ease the engineering burden of connecting ephemeral quantum hardware to persistent enterprise systems. Qoro also cited selection into the Duality programme as validation that it is addressing an infrastructure gap linking quantum hardware to real-world workloads.
Who are the investors?
Qoro’s pre-seed round was led by Ada Ventures and included Superangels Venture Fund and the Polsky Center for Entrepreneurship and Innovation at the University of Chicago.
Ada Ventures and Superangels are UK-focused early-stage investors that often back software infrastructure plays. The Polsky Center is a university-backed incubator and fund that supports commercialisation of academic research and connects startups to enterprise use cases. The involvement of a US university fund highlights a transatlantic element in Qoro’s early backing.
In the announcement, Matt Penneycard, Partner at Ada Ventures, said:
The AI infrastructure race is white-hot, but raw compute alone isn’t enough – you need the orchestration layer that makes it deployable. Anyscale proved this for classical AI: Ray became the connective tissue that let companies run distributed workloads across heterogeneous compute without drowning in infrastructure complexity. Qoro is building the equivalent for quantum. Dan and Stephen came out of Cisco with the networking DNA to see exactly what's missing – a broker layer that makes quantum and hybrid compute actually usable across real-world enterprises. This is the Anyscale moment for quantum, and we wanted to be in early.
In the announcement, Marc Schuler, Investor at Superangels Venture Fund, said:
What sets Qoro apart is its pragmatic approach to scale. Typically, quantum jobs are queued sequentially. However, Qoro delivers true, multilayered parallelisation across heterogeneous hardware. Scrape Ventures and the superangels are thrilled to support the founders’ mission to make quantum-classical computing more practically deployable today.
In the announcement, Shyama Majumdar, Investor at Polsky Center for Entrepreneurship and Innovation, said:
Qoro stood out in the Duality programme for solving a problem every quantum company faces, but few are building for. Our pre-seed investment backs the infrastructure layer that will connect quantum hardware to real enterprise workloads at scale.
If you're researching potential backers in this space:
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Founder perspective
Qoro was founded by Dan Holme and Stephen, who previously worked at Cisco and bring networking and infrastructure experience to the product. The team plans to use the funds for critical engineering hires and to match grant funding that supports product development.
In the announcement, Dan Holme, Co-founder & CEO at Qoro, said:
While the broader industry is racing to build physical quantum hardware, we are focused on the immediate software bottleneck required to actually use those machines. This initial $750k close provides us with the agility to make critical engineering hires, match funds for our grant projects, and accelerate the rollout of our products. This is a big vote of confidence for us as we prepare for our main priced round later this year.
The bigger picture
Qoro’s raise is modest by later-stage standards but typical for pre-seed bets on specialised infrastructure. It reflects an early investor interest in software that unlocks hardware value rather than hardware itself. The participation of UK and US backers, plus a link to the Duality programme, underscores cross-border collaboration on quantum projects.
For the UK and European ecosystem, more capital flowing into quantum orchestration and tooling would complement hardware development, helping enterprises move from experimentation to production if the software proves reliable and scalable. Qoro’s progress will be one to watch as the industry seeks practical ways to combine emerging quantum processors with existing compute stacks.
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