Name

Rahko

Legal name

Rahko

Website

https://rahko.ai

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

11–50 employees

Ownership category

akta.pro rank

Headquarters

HQ city

London

HQ country

United Kingdom

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Enterprise Software Licenses / Platform Access: Rahko offers its quantum machine learning platform to enterprise customers for chemical simulation. Revenue likely derives from platform/software licensing to large companies in pharma and materials science, with multi-year contracts evidenced by the 3-year Merck collaboration.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels4 records

Core offering

Rahko develops a quantum machine learning platform for solving chemistry problems, including prediction of chemical properties, molecular excited states, and density functional theory computations. The platform integrates with classical HPC and quantum hardware (IBMQ, Honeywell, Pasqal, Amazon Braket), delivering speedups up to 5 orders of magnitude over traditional methods for pharmaceutical and materials science applications.

Product overview

Rahko offers a unified quantum machine learning platform for chemical simulation, combining classical computing solutions with quantum computing capabilities. The core product is the Rahko Quantum Machine Learning Platform, which includes proprietary algorithms such as the Discriminative Variational Quantum Eigensolver for molecular excited states computation, parametrized quantum circuits trained like deep learning models, and quantum error correction methods. The platform delivers speedups up to 5 orders of magnitude for predicting chemical properties and is designed to integrate with quantum computers as they scale to practical applications.

Differentiator

Problem solved

Functional benefit

Products and services

• Rahko Quantum Machine Learning Platform A quantum machine learning platform that enables accurate prediction of chemical properties at speeds up to 5 orders of magnitude faster than traditional methods. Integrates with classical HPC and quantum computing infrastructure (IBMQ, Honeywell, Pasqal, Amazon Braket) and is designed for enterprise customers in pharmaceutical and materials science industries.
• Discriminative Variational Quantum Eigensolver (DVQE) A quantum algorithm for computing molecular excited states on quantum hardware, developed for quantum chemistry applications. Built for enterprise research teams running simulations on real quantum processors.
• Large-Scale Density Functional Theory (DFT) on Cloud HPC An efficient, large-scale Density Functional Theory computation capability delivered via cloud-based high-performance computing infrastructure, enabling materials simulation for enterprise customers.

Quantifiable outcome

• Speedups up to 5 orders of magnitude over traditional chemical simulation methods
• +1 more outcomes

Named customers1 record

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature8 records

Partnerships

Eight partnerships are on record, tiered core and minor.

• Amazon Web Services (AWS) / Amazon BraketcoreTechnology or Integration · 1 August 2020Rahko integrated with Amazon Braket, AWS's quantum computing service. Rahko was featured in AWS's announcement of General Availability of Amazon Braket in August 2020. As part of the Innovate UK Quantifi project, Rahko and Johnson Matthey used AWS for efficient large-scale DFT on the cloud.
• PasqalcoreStrategic or Co-development Partner · 1 June 2020Pasqal and Rahko announced a 2-year collaborative project co-funded by Région Ile de France, as part of the Innov'up Leader PIA programme. The project involves jointly developing algorithms for quantum chemistry on Pasqal's neutral-atom quantum hardware.
• MerckcoreStrategic or Co-development Partner · 1 May 2020Rahko announced a 3-year collaboration with Merck (the science and technology company), focused on exploring and leveraging quantum inspired machine learning for drug discovery and development. This is a formal co-development partnership representing Rahko's primary commercial engagement.
• Innovate UK (Quantifi Project Consortium)coreStrategic or Co-development Partner · 1 January 2020Innovate UK awarded a grant to a Rahko-led consortium for the world's first project to simulate complex materials on near-term quantum computers. The consortium includes technology, industry, and academia experts. Rahko, Johnson Matthey, and AWS jointly demonstrated efficient large-scale Density Functional Theory on cloud HPC as part of project Quantifi.
• Johnson MattheycoreStrategic or Co-development Partner · 1 January 2020Johnson Matthey participated as an industry partner in the Innovate UK Quantifi project led by Rahko, working alongside AWS to demonstrate efficient, large-scale Density Functional Theory on the cloud.
• IBMQcoreTechnology or IntegrationRahko partners with IBMQ, one of the world's largest quantum hardware manufacturers. Rahko has published research on computation of molecular excited states using IBMQ hardware and has integrated its platform with IBMQ systems.
• Honeywell Quantum SolutionscoreTechnology or IntegrationRahko partnered with Honeywell Quantum Solutions (trapped-ion quantum hardware manufacturer), achieving groundbreaking accuracy benchmarks on Honeywell's QPU 'System Model H0'.
• Quantum Biology Network (QBN)minorStrategic or Co-development PartnerRahko is listed as a member of the Quantum Biology Network (QBN), indicating participation in a quantum technology ecosystem/network.

Scale indicators4 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Xanadu: Xanadu is a quantum computing company building both photonic hardware and a quantum software stack, with explicit focus on quantum chemistry and machine learning applications. It directly overlaps with Rahko's QML-for-chemistry platform and competes for the same enterprise customers in pharma and materials.
• Zapata Computing: Zapata (now Quantum Generative Materials) develops quantum algorithms and Orquestra, a quantum workflow platform targeting chemistry, materials, and finance use cases. It competes head-to-head with Rahko on quantum ML software for molecular simulation.
• QC Ware: QC Ware is a quantum software company that builds enterprise-facing algorithms, including chemistry and materials simulation modules, deployable across multiple quantum hardware backends. It overlaps directly with Rahko's platform strategy and pharma customer base.
• QunaSys: QunaSys is a quantum chemistry software specialist offering Quri Chemistry and related algorithmic tools to enterprise pharma and chemicals customers. It is one of the closest direct competitors to Rahko in the quantum-for-chemistry niche.
• HQS Quantum Simulations: HQS Quantum Simulations is a German quantum software company focused on materials and chemistry simulation for industrial customers. It targets the same pharmaceutical and materials science buyers as Rahko with comparable hybrid quantum-classical approaches.
• Multiverse Computing: Multiverse Computing applies quantum and quantum-inspired algorithms to chemistry, materials, and finance. Its Singularity and QuantumSaaS platforms overlap with Rahko's enterprise quantum chemistry offering, particularly for materials and chemistry clients.

Broad incumbents

• Quantinuum: Quantinuum, formed from the merger of Honeywell Quantum Solutions and Cambridge Quantum, operates a full-stack trapped-ion quantum platform with significant quantum chemistry software (InQuanto). As Rahko's former Honeywell partner and a vertically integrated competitor, it is a broad incumbent pressure on Rahko's chemistry stack.
• IBM Quantum: IBM Quantum is one of Rahko's named platform partners (IBMQ) and a broad incumbent that also develops quantum chemistry tools (Qiskit Nature). Its dual role as enabler and competitor shapes Rahko's economics on IBM hardware.

Emerging players

• Classiq: Classiq provides a high-level quantum software development platform focused on algorithm synthesis across hardware backends. While broader than Rahko's chemistry focus, it competes for the same enterprise software budgets and engineering attention.
• Pasqal: Pasqal is a neutral-atom quantum hardware manufacturer partnered with Rahko since June 2020. While primarily a hardware play, Pasqal is developing its own chemistry and algorithms stack and represents both a partner and a potential future competitor.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key highlights7 records

Customer concentration

• Xx.com/rahkoai
• LinkedInlinkedin.com/company/rahko

Revenue estimate

Valuation estimate

Number of profiles

Profiles19 records

Funding overview

Funding rounds1 record

Investors3 records

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 Rahko