AI inference accelerator chips, systems and software built in-house
Fractile is a London-based chip startup designing silicon, servers and software for running large AI models at inference time. Its stack spans full ASIC flow (Synopsys Fusion Compiler, Cadence Innovus, Tessent, Calibre) plus Teradyne test, PCIe Gen 6, OpenBMC and Redfish, signaling a push from tape-out toward production server deployment. Hiring is accelerating, almost entirely senior engineering, with UVM and SystemC being adopted for verification and pre-silicon modeling.
Fractile, founded in 2022 and headquartered in London, develops hardware and software aimed at making AI inference faster and cheaper. Its approach combines compute and memory within custom silicon, targeting scale-out data centre deployments of large models. The company has 51–200 employees and is privately held. Its teams cover chip design, design-for-test, verification, board and server systems, embedded firmware and developer-facing tooling. Hiring is concentrated in the United Kingdom.
Fractile uses Synopsys Fusion Compiler and ICC2, Cadence Innovus, Tempus, Tessent, Calibre, SystemVerilog, UVM, cocotb, Verilator, plus Rust, Python, Bazel, Zephyr, OpenBMC and Redfish.
Fractile is building AI accelerator chips for data centres, including pre-silicon simulation, DFT architecture for a large multi-core SoC, chip test programs, server defect tests and developer documentation.
Yes. Hiring is accelerating and almost entirely in engineering, weighted toward senior and lead roles, with a small manufacturing presence. Roles are based in the United Kingdom.
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Fractile's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.