Participated · Seed · Mar 2026

Plurio is a San Francisco–based MarTech startup developing an AI-driven "autonomous agent" that automates and optimizes marketers’ digital ad campaigns across a variety of channels. The platform is designed to handle campaign setup, budget allocation, and performance optimization without continuous human oversight. By leveraging machine-learning algorithms, Plurio aims to improve return on ad spend and reduce the manual workload for marketing teams. The company, led by CEO Seva Ustinov, recently rebranded from Elly Analytics as it sharpens its focus on full-funnel campaign automation. Fresh capital will be directed toward expanding product development and scaling operations. No specific user, revenue, or other operating metrics were disclosed in the funding announcement.

Participated · Series A · Oct 2024

Founded in 2022, Santa Clara–based Xscape Photonics designs photonic hardware that moves data within AI data centers at far higher speeds and lower power than traditional copper interconnects. Its first commercial product, FalconX, is an External Laser Small Form-factor Pluggable (ELSFP) module that emits eight independent wavelengths of light, delivering more than one watt of optical power for multi-terabit bandwidth and built-in redundancy demanded by hyperscale AI clusters. The company’s proprietary CombX technology underpins FalconX and the broader ChromX roadmap, which targets 16, 32, and ultimately 128+ color wavelength-division-multiplexing fabric platforms. By enabling the entire data center to function “as one giant GPU,” the solution aims to unlock unused GPU capacity and cut networking failures by an order of magnitude. Xscape Photonics has attracted nearly $95 million in total funding and has more than doubled its valuation since the latest raise. Key technical founders hail from Columbia University, and the firm is rapidly expanding its engineering team to commercialize the ChromX platform.

Participated · Series C · Aug 2024

Riverlane develops quantum error-correction technology packaged as Deltaflow, a combination of QEC chips, hardware and software intended to track, predict and fix qubit errors. The company says Deltaflow can correct billions of errors per second and could extend quantum runs from hundreds of operations to millions or trillions. Riverlane has built an operations center to remotely link with early quantum computers and embed its chips into physical systems. It published a quantum error correction roadmap in July and is expanding R&D and operations while hiring; it employs more than 100 engineers and specialists. Riverlane reports some customers and partners, including Rigetti Computing, Alice & Bob, QuEra Computing, Infleqtion, Atlantic Quantum, Oak Ridge National Lab and the U.K.'s National Quantum Computing Centre. Financially, the company raised $75M in a Series C and, according to sources, now has a valuation above $400M. Riverlane develops quantum error detection and decoding technology, centered on its Deltaflow.Decode layer within a broader Quantum Error Correction Stack. Deltaflow.Decode originated from the 2018 QuantERA 'Quantum Code Design and Architecture' project coordinated by Riverlane’s VP of Quantum Science, Dr. Earl Campbell. The company plans to extend the decoder to support streaming and adaptive decoding during logical quantum operations and to implement a prototype on an FPGA. That prototype will be integrated into a quantum control system provided by Dutch scale-up Qblox to ensure compatibility across system layers. Riverlane says the work aims to enable continuous, real-time decoding capable of operating millions of times per second to support scalable quantum computation. The award also underscores Riverlane’s position in the quantum-error-correction field as it moves from offline software demonstrations toward real-time hardware-integrated solutions. Riverlane develops Deltaflow.OS, an operating system for quantum computers designed to convert many unstable physical qubits into error-free logical qubits so users can build reliable applications. The company demonstrated a high-performance Decode solution in November 2022 that allows Deltaflow.OS to support far larger numbers of qubits than previously possible. Riverlane plans to develop that Decode solution into a chip-based 'TeraQuOp' decoder by the end of 2025 capable of processing up to 100TB of data per second. The business works with enterprise partners including AstraZeneca, Merck, Astex, Rolls-Royce and Johnson Matthey. It maintains offices in Cambridge (UK), Boston and San Francisco. Riverlane intends to use the recent funding to accelerate development of its operating system and related hardware decoder work. Riverlane develops software to transform quantum computers from experimental technology into commercial products, centering on Deltaflow, an ultra-low-latency operating system for quantum machines. Deltaflow is designed to accelerate quantum-classical hybrid algorithms, facilitate hardware R&D, and provide a shared software layer allowing applications to run across different quantum hardware. The company aims to make Deltaflow a global standard and to optimise performance for near-term applications such as quantum chemistry and long-term quantum error correction. Riverlane says it has signed up roughly 20% of the world’s quantum hardware manufacturers to use Deltaflow. The company plans to use new funding to expand internationally to the US, Europe and beyond and to accelerate development of its operating system. Riverlane was spun out of Cambridge University and was founded in 2017. Riverlane develops a simulation engine that leverages quantum computers to accelerate the simulation of quantum systems, aiming to replace costly lab tests with computer simulation. Its software uses the principles of quantum mechanics to simulate microscopic systems and is positioned analogously to how GPUs accelerate machine learning workloads. The company plans to demonstrate its technology across a range of quantum computing hardware platforms and focus on early adopters in materials design and drug discovery. Riverlane will use the funds to expand its team of quantum software researchers and computational physicists. It is working with leading academics and companies on critical early use cases such as developing new battery materials and drug treatments. The company has raised seed funding to support these product development and go-to-market activities.

Participated · Seed · Jul 2023

Immersive Fox, founded in 2021 in London, builds AI-powered text-to-video tools that let businesses create sales and customer communication videos. Its platform can auto-translate videos into 50+ languages within seconds and integrates with HubSpot and other systems. The company offers technology to create unlimited video content using a client's face and voice. Planned product and R&D work includes a video analytics tool, an embeddable video player, UI animations and captions, and full-body movement synthesis from text. Immersive Fox raised €3.3m (£2.8m) in a seed funding round. The company intends to use the funds to advance its proprietary AI technology and expand its product roadmap.

Participated · Seed · Apr 2019

Cliently is a San Antonio-based provider of an automated sales engagement and lead generation platform for small businesses. Its platform enables users to search targeted premium contacts through lead filters and send personalized emails, postcards, video messages, handwritten notes and gifts. The solution integrates with most major CRMs and can be deployed in minutes, allowing sales reps to work from within their own databases. Led by CEO and Founder Spencer Farber and CTO Huey Ly, the company focuses on helping small-business sales teams scale personalized outreach. In April 2019 Cliently raised $1M in seed funding to continue expanding operations and its business reach. Cliently, based in Myrtle Beach, SC, provides a lead generation and retention platform that automates personalized outreach to prospects across multiple channels. The platform’s workflow automation creates personalized emails, postcards, video messages, branded merchandise and real phone calls to drive engagement without hours of manual prospecting. The company was accepted into SCRA’s Entrepreneurial Programs in July 2017 and received a $50,000 Acceleration Grant in September 2017 to build version 2.0 and accelerate revenue growth. Cliently recently received a $200,000 investment from SC Launch, Inc. to support continued revenue growth and new product development. Management stated the funding and SCRA resources will enhance clients’ ability to increase engagement with leads and prospects. No operating metrics or valuation were disclosed in the article.