We are building the universal brain for robotics.
Our goal is to commodify autonomous intelligence, creating a single, adaptable software stack that can bring any machine to life and allow it to work safely and seamlessly alongside humans.
Our Mission
Provide an upgradable "brain" that turns any off-the-shelf robot into an adaptive, collaborative partner.
Our Vision
To lead the next industrial revolution by enabling robots to learn, evolve, and integrate into every aspect of human life.
Our Values
Mission first, ego last. Low bureaucracy and high ownership. We hire for perspicacity, curiosity, and agency.
Mission First, Ego Last
We choose what is best to advance our mission. Every decision, every debate, every trade-off is measured against mission impact. Egos check at the door; excellence speaks for itself.
High Ownership and Gumption
Bias to action. Do the hard, unglamorous things. Finish what we start. We don't wait for permission to solve problems: we identify obstacles, propose solutions, and drive to completion. Ownership isn't a title; it's a mindset.
Perspicacity and Curiosity
First-principles reasoning, measured risk-taking, and changing our minds when the data changes. We dig beneath surface-level solutions, question assumptions, and embrace being wrong if it gets us closer to truth.
Paper to Production
Continuous exploration: research always alive. We turn insight into shipped capability, moving from academic findings to production systems with velocity and rigor.
Low Bureaucracy (No Dilbert Coefficient)
Minimal layers, small cross-functional teams. Managers are player-coaches. Processes exist only to remove friction, not to justify hierarchy. We measure ourselves by velocity and impact, not meetings attended.
Reduced-Friction Environment
One owner per decision, clear interfaces, concise docs, fast PRs, and automation over meetings. Time is our scarcest resource: we optimize for flow state and deep work, not performative busy-ness.
Excellence Over Perfectionism
Quality where it matters (safety, reliability, ethics) and rapid iteration with real users. We ship, learn, and improve. Perfection is the enemy of progress. Excellence is the practice of continuous refinement.
Our North Star: The Autonomy Layer for the Future of Work
Robots at work, humans in flow. Building a universal AI brain that coordinates robots and humans as one seamless team.
Stack v0.5: Foundation Layers
Release initial autonomy layers with 2 to 3 retail partners. Deploy baseline coordination features for robot and human teams executing 5 to 15% of site operations hours. Validate ROI metrics and demonstrate sub-18-month payback potential.
Stack v1.0 Complete: OS of the Future
Ship GalacNo Stack v1.0, a hardware-agnostic autonomy layer. Reach 10 sites coordinating 25 to 30% of operations autonomously. Sign framework agreements with national retail chains.
Scale and Cross-Vertical Expansion
Reach 25 sites executing 35 to 40% of operations autonomously. Expand beyond retail into hospitality and healthcare. Open UK and GCC regional hubs.
Global Footprint and Learning Network
Power 1,000+ robots coordinating 45 to 50% of operations autonomously. Launch APAC and Americas headquarters. Deploy federated learning reducing task completion time by 25%.
Safety Certification and Standards Leadership
Achieve IEC 61508-SIL2 certification and publish safety-case templates. Establish industry standard for autonomous assurance, coordinating 55% of operations autonomously.
Autonomous Mobility Layer
Extend autonomy to outdoor logistics including delivery bots, yard tractors, and campus vehicles. Launch Level 4 autonomous pilots.
Human-Robot Collaboration 2.0
Pioneer thought-guided control interfaces for industrial exoskeletons and advanced prosthetics. Begin Project Chimera prototyping for seamless human-machine integration.
Robot Workforce for Service Sector
Deploy form factor-specific robot workforces across most service sectors. Power thousands of specialized robots in hospitality, healthcare, retail, and logistics through a unified autonomy layer.
Stack v2.0: OS of the Future, Evolved
Launch Stack v2.0 with natural-language interfaces, emotional intelligence, and social navigation. Enable companion robots for eldercare and complex teams, coordinating 60 to 70% of operations autonomously.
Global Sensing and Intelligence Network
Deploy planet-scale sensor mesh leveraging fleet telemetry. Contribute hyperlocal environmental data to climate models and smart city infrastructure.
Space Construction Milestone
Partner with ESA and NASA for first autonomous orbital assembly. Build 10-meter truss structure in zero gravity.
Lunar Operations Pathfinder
Execute 30-day autonomous mission at lunar South Pole. Two rovers perform regolith sampling, resource mapping, and depot resupply.
Project Armstrong: Humanity's Lunar Future
Power autonomous infrastructure for first permanent lunar outpost. Orchestrate habitat logistics, construction, and exploration, enabling humans to focus on discovery.
Join Us
We are looking for brilliant, creative, and driven individuals to help us build the future. We value demonstrable skill and a strong portfolio of work over traditional credentials.
Responsibilities
- Research and develop novel techniques for ensuring AI alignment and safety in autonomous systems.
- Formulate and publish guidelines for the ethical development and deployment of advanced robotics.
Qualifications
- PhD in AI, Computer Science, Philosophy, or equivalent research experience.
- A strong portfolio of published work in AI safety, ethics, or alignment research.
- Proficiency with Large Language Models (LLMs) is required.
Responsibilities
- Design and implement robust algorithms to fuse data from cameras, LiDAR, and IMUs into a unified world model.
- Optimize perception pipelines to run efficiently on edge hardware.
Qualifications
- BS/MS in a relevant engineering field or equivalent experience demonstrated by a strong portfolio.
- Expertise in C++, Python, and libraries like OpenCV, PCL, and ROS 2.
- Proficiency with Large Language Models (LLMs) for semantic understanding is required.
Responsibilities
- Push the boundaries of visual-inertial navigation to achieve centimetre-level accuracy in large, dynamic, and GPS-denied environments.
- Implement and optimize SLAM algorithms for real-world robustness.
Qualifications
- BS/MS in Robotics or Computer Vision, or a portfolio demonstrating exceptional skill in SLAM.
- Expertise in C++ and state estimation techniques (e.g., Kalman filters, factor graphs).
- Proficiency with Large Language Models (LLMs) is required.
Responsibilities
- Architect complex, reactive behaviors for autonomous robots using a hybrid of Behavior Trees and PDDL planning.
- Develop new methods for long-horizon task planning in uncertain environments.
Qualifications
- MS/PhD in AI or a related field, with a focus on automated planning.
- Strong background in algorithm design and complexity analysis.
- Proficiency with Large Language Models (LLMs) for reasoning is required.
Responsibilities
- Explore the intersection of quantum computing and robotics for intractable problems.
- Develop quantum algorithms for optimization, planning, and machine learning.
Qualifications
- PhD in Quantum Computing, Physics, or a related field.
- A strong research record demonstrating novel contributions to quantum algorithms.
- Proficiency with Large Language Models (LLMs) for hypothesis generation is required.
Responsibilities
- Port and optimize the GalacNo runtime for ARM-based edge computers and real-time kernels.
- Create secure OTA mechanisms and fail-safe rollback for field deployments.
Qualifications
- Extensive C/C++ and Yocto or Buildroot experience; upstream kernel contributions a plus.
- Hands-on with container runtimes (Docker, balena) on constrained devices.
- Proficiency with Large Language Models (LLMs) for code generation and review is required.
Responsibilities
- Own end-to-end mechanical design of mobile platforms and end-effectors for indoor use.
- Collaborate with manufacturing partners to meet IP-54/ISO-13482 safety requirements.
Qualifications
- Expert CAD (SolidWorks/Fusion) and DFM for sheet-metal & additive manufacturing.
- Proven track record delivering at least one commercial robot.
- Proficiency with Large Language Models (LLMs) for design ideation is required.
Responsibilities
- Monitor live robot fleets, triage anomalies, and feed insights back to engineering teams.
- Develop dashboards that translate telemetry into actionable SLA metrics.
Qualifications
- Strong SQL/Python data-analysis background; familiarity with Grafana or Kibana.
- Experience running 24/7 NOC or mission-control operations is a plus.
- Proficiency with Large Language Models (LLMs) for log summarization is required.
Responsibilities
- Automate CI/CD for perception and planning models, from data ingest to fleet rollout.
- Maintain Kubernetes clusters for simulation and large-scale validation.
Qualifications
- Expertise with Terraform, Helm, GitHub Actions and GPU scheduling (NVIDIA DGX/Grace).
- Hands-on with ML toolchains (Kubeflow, Weights & Biases).
- Proficiency with Large Language Models (LLMs) for pipeline templating is required.
Responsibilities
- Install, calibrate, and service GalacNo robots at customer facilities.
- Train end-users and feed maintenance data back into our reliability programme.
Qualifications
- Mechatronics or electrical apprenticeship, plus hands-on robotics experience.
- Comfortable reading schematics and flashing firmware in the field.
- Proficiency with Large Language Models (LLMs) for troubleshooting guides is required.
Responsibilities
- Own roadmap and KPIs for GalacNo Stack releases, balancing customer needs and tech debt.
- Translate pilot-site feedback into clear engineering requirements and sprint goals.
Qualifications
- 3+ years PM experience in robotics, autonomous vehicles, or deep-tech SaaS.
- Strong technical literacy: can whiteboard a perception pipeline with engineers.
- Proficiency with Large Language Models (LLMs) for spec drafting is required.
Responsibilities
- Lead functional-safety analyses and author Technical Files for CE/UKCA marking.
- Interface with notified bodies for ISO 13482, IEC 61508, and UL 1740 certifications.
Qualifications
- Certified TÜV Functional-Safety Engineer or equivalent practical experience.
- Working knowledge of risk-assessment tools (FTA, FMEA, HAZOP).
- Proficiency with Large Language Models (LLMs) for document generation is required.
Responsibilities
- Create intuitive HMI for operators and delightful interactions for end-users.
- Prototype AR overlays for remote-assist and telepresence scenarios.
Qualifications
- Portfolio showcasing shipped mobile/web or mixed-reality products.
- Fluency in Figma, Unity/Unreal, and accessibility best practices.
- Proficiency with Large Language Models (LLMs) for user-research synthesis is required.
Responsibilities
- Design scalable pipelines to ingest and curate multi-modal robot telemetry (up to 20 TB/day).
- Collaborate with ML teams to surface high-quality labels for self-supervised learning.
Qualifications
- Strong Python/Scala, Apache Kafka, and columnar data-store experience (Iceberg/Delta).
- Bonus: worked with robotics logs (ROS bags, MCAP, protobuf).
- Proficiency with Large Language Models (LLMs) for ETL code generation is required.
Responsibilities
- Identify and secure partnerships with retail chains, facilities management providers, and commercial property operators.
- Build relationships with key decision-makers in operations, IT, and innovation teams.
- Translate customer needs into pilot programmes and commercial contracts.
- Support deployment planning and account expansion strategies.
Qualifications
- 5+ years BD or sales experience in retail tech, facilities management, or commercial automation.
- Strong understanding of retail operations, inventory management, and facilities workflows.
- Track record of closing enterprise deals with multi-location clients.
- Proficiency with Large Language Models (LLMs) for proposal drafting is required.
Responsibilities
- Own customer relationships post-sale and drive adoption, expansion, and retention.
- Conduct regular business reviews and track customer success metrics.
- Identify upsell and cross-sell opportunities across customer portfolios.
- Coordinate with technical and operations teams to ensure smooth deployments and issue resolution.
- Gather customer feedback to inform product roadmap and service improvements.
Qualifications
- 3+ years account management or customer success experience in B2B tech, SaaS, or automation.
- Strong relationship management and communication skills.
- Ability to understand technical solutions and translate them into business value.
- Experience managing enterprise accounts with multiple stakeholders.
- Proficiency with Large Language Models (LLMs) for customer communication is required.