Investment this week leaned hard into the physics of compute. Capital flowed to silicon photonics, scalable quantum hardware, and inference clouds purpose-built for open models, with smaller checks reinforcing the operational layer where AI agents have to actually run inside enterprise environments. The five rounds below, ranked by size, sketch the contours of an IT stack being rebuilt from the chip up to the control plane.
Quantum Motion
Round: Series C | Sector: Semiconductors
The UK-based startup raised $160 million to scale silicon-based qubits using standard CMOS manufacturing, a path that, if it holds, would let quantum hardware ride the same fabs that produce today’s processors. The pitch is essentially that quantum will become economically viable only when it can be made at semiconductor volumes, and Quantum Motion is betting its architecture is the one that gets there first. Enterprise buyers should treat it less as a near-term procurement question and more as a signal of where the foundation layer is heading.
Deepinfra
Round: Series B | Sector: Cloud
Deepinfra closed a $107 million Series B to expand a dedicated inference cloud optimized for open-source models. The wager is that as enterprises move past pilots, they will want a serving layer tuned for cost, latency, and predictable utilization rather than the catchall hyperscaler menu. With open-weight models continuing to close on closed-source quality, a focused inference cloud is starting to look less like a niche and more like a standard procurement category.
Tessera Labs
Round: Growth | Sector: ITSM / AIOps
Tessera Labs raised $60 million led by Andreessen Horowitz to automate ERP modernization, a category that has consumed billions in services dollars with mixed results for decades. The company’s argument is that AI agents can finally reduce the migration tax that keeps enterprises stuck on legacy SAP and Oracle environments. If the approach holds up at scale, it would reshape the economics of one of the most stubborn line items in enterprise IT budgets.
OpenLight
Round: Series A-1 | Sector: Semiconductors
OpenLight secured $50 million to accelerate global deployment of its silicon photonics platform, which integrates lasers directly onto silicon for high-bandwidth optical interconnects. As AI training and inference clusters keep pushing copper and pluggable optics past their limits, photonic integration is moving from research curiosity to a procurement reality for the largest data center operators. The round positions OpenLight to compete in a tier that has, until recently, been dominated by a small set of incumbents.
OpsMill
Round: Series A | Sector: Networking / AIOps
OpsMill, the company behind the open-source Infrahub project, raised $14 million to give AI agents a single source of truth for enterprise infrastructure. The thesis is that automation only works if the underlying data model is consistent, versioned, and auditable, and that today’s CMDB-style tooling is not built for an agent-driven operating model. The round is small relative to others on this list, but the problem it targets, namely, infrastructure data integrity, is one of the constraints that will determine whether AIOps lives up to the marketing.
The Weekly Funding Pulse tracks the most significant IT infrastructure, cloud, semiconductor, networking, and ITSM funding rounds each week. Coverage is curated for enterprise IT professionals and decision-makers.
