Riverlane is an Error Correction & Control company founded in 2016 and based in Cambridge, United Kingdom. It has raised $118.1M in total funding, most recently a Series C in 2024.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Jan 1, 2024 | Series C | $75M | — | Planet First Partners |
| Apr 25, 2023 | Series B | $19M | — | Molten Ventures |
| Jan 25, 2021 | Series A | $20M | — | Draper Esprit |
| Jun 1, 2019 | Seed | $4.1M | — | Cambridge Innovation Capital, Amadeus Capital Partners |

Nvidia takes a strategic stake in Riverlane to accelerate real-time quantum error correction and GPU decoder calibration.

Riverlane and NVIDIA report cutting quantum decoder training from three minutes on one CPU core to 2.8 seconds on an H100 GPU.
World's first dedicated real-time quantum error correction system, performing decoding on up to 250 physical qubits with ultra-low latency using Riverlane's proprietary Local Clustering Decoder (LCD). Deployed at Oak Ridge National Laboratory in September 2025 and at a UK commercial data center with Oxford Quantum Circuits in July 2025—the first QEC technology in a commercial quantum setting. Compatible with superconducting, trapped-ion, and neutral-atom hardware platforms via hardware-agnostic decoder integration.
High-accuracy, hardware-accelerated decoder technology that predicts and corrects qubit errors at unprecedented speed and efficiency across multiple qubit modalities. Implements the Local Clustering Decoder algorithm, enabling quantum computers to perform one million error-free operations with 4x fewer qubits versus competing approaches (Nature Communications, December 2025), accelerating paths to fault-tolerant computation by an estimated 3–5 years. Targeted at quantum hardware manufacturers integrating real-time QEC into their systems.
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