Startups Directory

Cerebras Systems designs and manufactures wafer-scale AI processors (WSE-3) that are 57x larger than leading GPUs, enabling faster AI training and inference with dramatically reduced power consumption. The company offers both on-premise hardware systems and cloud-based AI services through its own data centers. Built by a team of veterans from SeaMicro and AMD, Cerebras solves the fundamental problem of data movement in AI workloads by keeping computation on-silicon, delivering measurable speed and efficiency advantages for large-scale machine learning.

Ayar Labs develops TeraPHY, an industry-first optical I/O chiplet that replaces traditional electrical interconnects in semiconductor systems using silicon photonics. The solution delivers up to 1000x bandwidth density improvements and 1/10th the power consumption compared to conventional electrical I/O, enabling 8 Tbps of bandwidth at 10-nanosecond latencies. Built for AI accelerators, data centers, and distributed computing systems, TeraPHY eliminates GPU communication bottlenecks and solves the memory wall problem in high-performance computing.

DriveNets provides a cloud-native, software-based routing platform that disaggregates network software from proprietary hardware, enabling communication service providers to scale from 2.4Tbps to 921Tbps on commodity white-box infrastructure. The company's Network Cloud and Network Cloud-AI products apply cloud architecture principles to telecom networks, reducing costs and increasing flexibility. Already deployed across major tier-1 operators including AT&T (handling 52% of core traffic), Comcast, Vodafone, and Orange, DriveNets is transforming how global networks are built and operated.

Lightmatter develops photonic processors and interconnects that dramatically reduce energy consumption and latency in AI computing by replacing electrical connections with optical ones. The company's Envise chip combines traditional electronics with integrated photonic elements for AI acceleration, while its Passage interconnect technology enables data to move 100x faster between chips. They serve hyperscale cloud providers and AI data center operators, addressing the critical bottleneck of data movement energy consumption in modern AI workloads.

Voltron Data builds Theseus, a GPU-accelerated query engine that enables petabyte-scale data analytics directly on data lakes, lakehouses, and warehouses using Apache Arrow standards. The platform allows organizations to query massive datasets 10-100x faster while reducing infrastructure costs dramatically—one retailer cut server count from 1,400 CPU machines to 14 GPU servers. Unlike traditional CPU-based analytics platforms, Voltron's approach is designed to complement existing systems like Spark and DuckDB, letting users scale without vendor lock-in.

Redpanda is a Kafka-compatible streaming data platform built from the ground up to be 10x faster, lighter, and simpler than Apache Kafka. It eliminates external dependencies like JVM and ZooKeeper while offering built-in schema registry, HTTP proxy, and WebAssembly-based data transforms. The platform powers real-time data processing for enterprises like Activision Blizzard, Cisco, and Moody's, with a strategic focus on the Agentic Data Plane for AI-driven applications.

Xanadu develops photonic quantum computing hardware and software platforms that operate at room temperature, eliminating the extreme cooling requirements of competing approaches. The company offers Aurora, a 12-qubit universal photonic quantum computer, alongside software tools like Pennylane for quantum programming and Lightning for high-performance simulation. Its continuous-variable encoding approach provides inherently higher tolerance to manufacturing imperfections, enabling faster progress toward quantum advantage. Xanadu serves defense, aerospace, pharmaceutical, semiconductor, and automotive sectors through cloud-based access and direct partnerships.