Ceremorphic

What Ceremorphic does

Ceremorphic is a fabless semiconductor company that designs quantum-inspired silicon systems for energy-efficient AI supercomputing, in-silico drug discovery, and physical AI processing. Founded in April 2020 by Dr. Venkat Mattela (formerly founder/CEO of Redpine Signals, which was acquired by Silicon Labs for $308M), the company operates from San Jose, California with an engineering development centre in Hyderabad, India. Its core technology is the Hierarchical Learning Processor (HLP) architecture, which combines hybrid quantum processors, multi-thread reliable processors (ThreadArch), ML compute microarchitecture (Flexmath), optical interconnects (Scale-X), high-throughput memory (XBM), and quantum-safe security processors (Qshield, Q2-Fabric) into a unified platform. The first silicon embodiment is the QS 1 chip, taped out on TSMC's 5nm process node in October 2022.

The company's product portfolio spans the Datacenter-in-Box and Biocenter-in-Box system architectures, the BioCompDiscoverX bio-supercomputing platform for drug discovery (formed into the Ceremorphic Life Sciences division in October 2023), ASIL-D compliant Physical AI processors for automotive and robotics, and a custom silicon development service for advanced-node IC design launched in January 2023. Revenue streams include hardware sales (AI supercomputing chips), professional services (custom silicon development), and licensing/royalty models (technology IP and the life sciences platform). The go-to-market is enterprise field sales targeting hyperscale datacenter operators, automotive OEMs, life sciences companies, and high-end system developers, supplemented by OEM network distribution globally.

Ceremorphic is privately held, having raised $50 million in Series A funding entirely from its founders in January 2022. As of mid-2023 the company employed approximately 160 people, with a stated target of 400 in Hyderabad alone by end of 2024. The company holds over 200 patents (100+ granted) across its eight constituent technology areas and was named to EE Times' Silicon 100 list of most promising startups and awarded Start-Up of the Year by Electronics Maker in 2023. Strategic board additions in June 2023 brought Suresh Katta (Saama Technologies founder) and Camillo Martino (semiconductor veteran) to strengthen datacenter and life sciences positioning.

Name

Ceremorphic

Legal name

Ceremorphic, Inc.

Website

https://ceremorphic.com

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

101–250 employees

Short description

Ceremorphic is a fabless semiconductor company that designs quantum-inspired silicon systems (Hierarchical Learning Processors) for energy-efficient AI supercomputing, in-silico drug discovery, and physical AI processing, targeting hyperscale datacenters, automotive OEMs, pharmaceutical companies, and advanced system developers.

Ownership category

akta.pro rank

Product category

AI Supercomputing Semiconductors

NAICS

Semiconductor and Related Device Manufacturing (334413)

SIC

Semiconductors & Related Devices (3674), Electronic Computers (3571)

akta.pro primary industry

Compute & Acceleration ICs (CPU/GPU/AI/FPGA/ASIC) (HDAHABAC)

akta.pro secondary industries

Application Processors & Microprocessors (MPUs/CPUs) (HDAHAJAB), Networking & Data Center Silicon (Switch/NIC/DPU/SerDes) (HDAHABAB), Silicon IP Subsystems & Chiplet IP (Die-to-Die, UCIe, NoC, I/O chiplets) (HDAHAFAH), QPU Packaging, Interconnects & Chiplets (Quantum Processor Integration) (HDAGAAAJ), Domain-Specific Hybrid Application Platforms (Optimization/Finance/Chemistry/Logistics) (HDAGANAJ)

Keywords

• AI supercomputing chips
• Fabless semiconductor design
• Quantum-inspired computing
• HPC silicon IP
• Energy-efficient AI accelerators

Headquarters

HQ city

San Jose

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Hardware or Manufacturing

Cost components

Technology or R&D, Personnel, Supply Chain, Operations, Marketing or Sales

Revenue model

1. AI Supercomputing Chips: Sale of proprietary AI supercomputing chips including the QS 1 chip built on TSMC 5nm node, targeting datacenter, HPC, automotive, and metaverse applications. Chips feature hierarchical learning processors, multi-thread processors, and connectivity interfaces like PCIe 6.0 and CXL 3.0.
2. Custom Silicon Development Services: Offering IP and design expertise to develop advanced ICs for select customers looking to differentiate with customized silicon. Includes infrastructure IP for HPC, CXL/PCIe6 connectivity, ML processors, ASIL-D compliant processors, and analog IP for advanced nodes.
3. Life Sciences Platform: BioCompDiscoverX platform for pharmaceutical companies enabling in-silico drug discovery. The platform will be available for licensing and the company plans to develop pharmaceuticals and oversee clinical trials while partnering with R&D entities.
4. Technology IP Licensing: Licensing of proprietary technology portfolio including over 200 patents covering system level interconnect, chiplet-to-chiplet interconnect, reliable circuits, multi-thread microprocessor technology, ML processors, graph neural processors, low power silicon design, and quantum resistant security.

Go-to-market motion3 records

Distribution channels3 records

Marketing channels6 records

Core offering

Ceremorphic designs and develops quantum-inspired silicon systems and AI supercomputing chips built on its Hierarchical Learning Processor (HLP) architecture, combining hybrid quantum processors, multi-thread reliable processors, ML processors and optical interconnects. The company sells the QS 1 chip and reference systems such as Datacenter-in-Box™ and Biocenter-in-Box™, alongside the BioCompDiscoverX® platform for in-silico drug discovery, and offers custom silicon development services using TSMC 5nm and 3nm process nodes.

Product overview

Ceremorphic offers a quantum-inspired silicon systems platform for energy-efficient AI supercomputing and life sciences applications. The portfolio includes the QS 1 chip (Hierarchical Learning Processor series) as the foundational silicon product, supported by eight constituent technologies including Flexmath™ compute micro-architecture, ThreadArch® multi-thread processors, Scale-X™ optical interconnects, QSLink™ electrical interconnects, Q2-Fabric™ quantum technology, XBM™ memory, and Qshield™ security processors. System products include Datacenter-in-Box™ and Biocenter-in-Box™ compact compute solutions, along with the BioCompDiscoverX® bio-supercomputing platform for drug discovery. The company also offers custom silicon development services for advanced nodes and provides processors for Physical AI applications in automotive and robotics markets.

Differentiator

Problem solved

Functional benefit

Brands

• BioCompDiscoverX: Supercomputing platform leveraging proprietary analog, quantum, and AI technology for accelerated drug discovery and development, capable of speeding every phase of the drug development pipeline.
• Datacenter-in-Box
• Biocenter-in-Box
• BioCompDiscoverX (Bio-supercomputing Platform)
• Biocompute Workstation

Products and services

• QS 1 Chip (Hierarchical Learning Processor) First AI supercomputing chip in Ceremorphic's Hierarchical Learning Processor series, designed in TSMC 5nm. Integrates custom ML processor, custom FPU, ThreadArch RISC-V processor, video engines and PCIe 6.0 / CXL 3.0 connectivity. Targets hyperscale datacenter operators, automotive OEMs and life sciences customers running AI training, HPC, automotive, drug discovery and metaverse workloads.
• Datacenter-in-Box™ Compact reference system that delivers exascale AI compute capability in a single box using Ceremorphic's Hierarchical Learning Processor architecture, optical interconnects and quantum-inspired ML processing. Built for hyperscale datacenter operators seeking carbon-neutral, energy-efficient AI supercomputing.
• Biocenter-in-Box™ Integrated system for life sciences that combines hybrid quantum processors, AI technology and analog circuit technology to run in-silico drug design, molecular modeling and biological research. Targets pharmaceutical companies and biotech R&D organizations.
• BioCompDiscoverX® Bio-supercomputing platform leveraging proprietary analog, quantum and AI technology for accelerated drug discovery. Incorporates graph neural processing, an integrated quantum simulation environment for molecular dynamics and proprietary data synthesis for foundation models. Targets the entire drug development pipeline from discovery through clinical trials for pharmaceutical and biotech customers.
• Custom Silicon Development Service IP and design expertise service for developing advanced ICs in 5nm and below nodes. Delivers critical IPs including CXL/PCIe6, machine learning processors, ASIL-D compliant reliable multi-thread processors and analog IP to select customers in the AI, machine learning and HPC space. Backed by over 5 years of R&D and validated by the QS 1 tape out at TSMC 5nm.
• Physical AI Processors Processors designed for real-time physical AI processing in sensors, analog integration, robotics and edge systems. Provide ASIL-D compliant hierarchical learning with multi-modal sensor fusion capabilities for automotive OEMs, Tier 1 suppliers and robotics manufacturers.
• Biocompute Workstation™ System that deploys innovative algorithms in silicon with analog computing to model biological complexities and achieve unprecedented efficiency across the entire drug discovery and development process. Targets pharmaceutical and life sciences R&D customers.

Quantifiable outcome

• 100,000x improvement in soft error rate ((100,000)-1) compared to standard processors
• +2 more outcomes

Named customers1 record

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability9 records

Feature12 records

Partnerships

Two partnerships are on record, tiered core and supporting.

• TSMCcoreTechnology or Integration · 24 January 2022TSMC is the manufacturing partner for Ceremorphic's advanced silicon products. Ceremorphic has successfully taped out its first 5nm chip with TSMC and develops advanced system products based on its own silicon in TSMC 5nm and 3nm process nodes. This is a critical partnership enabling the company's chip production capabilities.
• ARMsupportingTechnology or Integration · 24 January 2022ARM provides processor IP incorporated into Ceremorphic's chips. The QS 1 chip includes M55 v1 core from ARM for video engine processing alongside custom processors.

Scale indicators10 records

Recent moves9 records

Expansion highlights6 records

Broad incumbents

• AMD: AMD's Instinct MI accelerators and EPYC CPUs compete across Ceremorphic's data center AI and HPC segments. Comparable as a broad incumbent with established silicon manufacturing relationships (TSMC), similar TSMC 5nm/3nm cadence, and overlapping customer set in hyperscalers and OEMs.
• NVIDIA: NVIDIA is the dominant GPU and AI accelerator vendor (H100, B200, Grace, Bluefield DPUs) for data center AI workloads. Comparable as the broad incumbent against which all fabless AI silicon startups compete; Ceremorphic's QS 1 and PCIe 6.0/CXL 3.0 strategy targets NVIDIA's installed base in hyperscalers.

Direct peers

• Graphcore: Graphcore designs IPU processors for AI training and inference workloads in data centers. Comparable as a fabless AI accelerator startup competing on alternative architectures and energy efficiency for large-model compute, with overlapping enterprise and hyperscaler target customers.
• SambaNova Systems: SambaNova designs RDU chips and full-stack AI platforms for data center and enterprise deployments. Comparable as a fabless AI silicon startup with similar enterprise go-to-market and a focus on energy-efficient training and inference at scale.
• Groq: Groq builds LPU inference accelerator silicon targeting data center AI workloads. Comparable to Ceremorphic's QS 1 chip as a fabless AI accelerator startup competing on energy efficiency and cost-per-inference, with overlapping customer set in hyperscalers and enterprises.
• Tenstorrent: Tenstorrent builds RISC-V-based AI accelerators and licenses its IP to other chip designers. Highly comparable to Ceremorphic given Tenstorrent's RISC-V heritage (Ceremorphic's ThreadArch is RISC-V-based), AI training/inference focus, and custom silicon / IP licensing business model.
• Cerebras Systems: Cerebras designs wafer-scale AI accelerator chips targeting hyperscale data center AI training and inference. Directly comparable to Ceremorphic's Datacenter AI Supercomputing use case as both pursue AI silicon for energy-efficient large-model workloads, though Cerebras is more capital-rich and focused solely on training.

Emerging players

• Lightmatter: Lightmatter builds photonic (optical) compute and interconnect silicon for AI data centers. Directly comparable to Ceremorphic's Scale-X optical interconnect and energy-efficiency thesis, though Lightmatter is more focused on photonic compute while Ceremorphic integrates optics within a broader HLP platform.
• Hailo: Hailo designs edge AI accelerator chips for automotive, industrial, and robotics. Comparable to Ceremorphic's Physical AI Processors and Automotive Processors segments, with similar focus on energy efficiency and real-time inference at the edge.

Others

• Saama Technologies: Saama is an AI/data analytics company that partnered with Pfizer on the COVID-19 vaccine and operates in life sciences AI. Comparable to Ceremorphic Life Sciences / BioCompDiscoverX as a peer in the AI-driven drug discovery space, and Ceremorphic board member Suresh Katta is Saama's founder, signaling strategic adjacency.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/ceremorphic
• LinkedInlinkedin.com/company/newsfromceremorphic

Revenue estimate

Valuation estimate

Number of profiles

Profiles11 records

Subsidiaries1 record

Funding overview

Funding rounds1 record

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Ceremorphic