The Global Self-Driving Lab Landscape

A hand-curated map of where self-driving lab work is happening: national programmes, academic groups, commercial vendors, and lab-OS platforms.

🌐 Open the interactive map →

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Self-Driving Labs (SDLs) close the loop between AI-driven hypothesis, automated synthesis, and online characterisation. This list catalogues the people, programmes, and platforms doing the work. It captures the landscape as I read it, not as it indexes itself. Entries reflect public information as of June 2026 and are continuously revised through the interactive map.

📚 Contents

• 🌍 National Programmes & Consortia
• 🎓 Academic Groups
• 🏭 Commercial & Industrial
• 🛰 Lab OS & Orchestration
• 📥 Data Downloads & Export
• 📐 Data Schema
• 🛠 Local Development
• 🤝 Contributing
• 📜 License

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🌍 National Programmes & Consortia

Large public-sector or trans-institutional SDL programmes with national or pan-regional scope.

• Acceleration Consortium - 200-member global consortium anchoring 30+ self-driving labs for sustainable materials and molecules across health, energy, and electronics (Toronto, Canada · CAD 500M+ CFREF + matched).
• Big Chemistry - Dutch National Growth Fund consortium of five institutes (Radboud lead, TU/e, Groningen, AMOLF, Fontys) building AI-guided self-driving labs for sustainable industrial formulations (Nijmegen, Netherlands · €207.5M NGF).
• BIG-MAP / FULL-MAP - Battery2030+ flagship Materials Acceleration Platform for battery interfaces. BIG-MAP closed Feb 2024; successor FULL-MAP runs 2025-2029 (Brussels, EU · €19.95M Horizon Europe).
• BioPACIFIC MIP - NSF Materials Innovation Platform at UCSB and UCLA offering free peer-reviewed access to automated, AI-driven synthesis and characterisation of bio-derived materials (Los Angeles, USA · $43.5M NSF DMR).
• CAPeX Pioneer Center - Danish 13-year Pioneer Center accelerating Power-to-X catalyst and material discovery across DTU, Aalborg, Stanford, SLAC, Utrecht, and Toronto (Lyngby, Denmark · €40M / 13 yrs).
• DiscoveryLabNL - Dutch national infrastructure for AI-driven materials discovery, coordinated by TU/e, with energy materials as the first priority domain (Eindhoven, Netherlands · €30M planned).
• Shenzhen Synthetic Biology Infrastructure - CAS SIAT-led national major science infrastructure at Guangming Science City: modular fully-automated workcells running the synthetic-biology design-build-test-learn loop at high throughput, open to academic and industrial users (Shenzhen, China · national major RI).
• HELMA (Helmholtz Acceleration Alliance) - KIT-led Helmholtz consortium positioning Germany's autonomous SDLs for health, energy storage, catalysis, and electronics in smart data centres (Karlsruhe, Germany · internal Helmholtz funding).
• Korea 500 SDL Initiative - MOTIE's October 2024 AI+R&D Strategy commits Korea to 500 autonomous laboratories by 2030 across nanomaterials, catalysis, organic chemistry, and bioengineering (Seoul, Korea · $320M by 2035).
• NUS AI for Science (AI4S) - Singapore's National Research Foundation AI4S programme (launched June 2026); NUS leads four of eight inaugural projects, anchored by the Materials Data Foundry (Novoselov + Aspuru-Guzik, I-FIM) building an open AI-and-robotics autonomous lab to link synthesis protocols to real-world material performance (Singapore · S$120M NRF).
• PEPR DIADEM - France 2030 programme run by CNRS, CEA, and seven academic partners, funding 51 projects that fuse AI with synthesis and characterisation across France (Paris, France · €85M / 8 yrs).
• UK ARIA AI Scientists - ARIA programme funding 12 AI Scientist projects testing autonomous hypothesis-to-experiment systems across drugs, batteries, quantum dots, and biology (London, UK · £6M / 9 months).
• US DOE National Labs - US federal SDL funding through ARPA-E's $40M catalyst programme and CHIPS R&D's $100M semiconductor-materials programme for autonomous chemistry and electronics discovery (Washington DC, USA · $140M total).
• NSF AI Institute for Materials Innovation - First NSF AI institute dedicated to materials, coordinating closed-loop autonomous experimentation across Cornell, Princeton, CCNY, and Boston University (Ithaca, USA · $20M NSF).
• NRC BattMAP / BattPAP - National Research Council Canada self-driving labs for battery-materials discovery and critical-mineral processing under the Critical Battery Materials Initiative (Mississauga, Canada · federal).
• AIChemy (UK AI for Chemistry Hub) - £12M EPSRC national hub (Liverpool + Imperial) developing AI-planned robotic and autonomous chemistry, including mobile robot scientists for exploratory synthesis (Liverpool, UK · £12M EPSRC).
• RIKEN / IST Maholo SDL - JST-funded national self-driving lab (Maholo robotic-arm platform) for closed-loop materials discovery, with a prototyping lab at RIKEN BDR Kobe and a demonstrator at Institute of Science Tokyo (Kobe, Japan · ~¥1.1B JST).
• AIST AUTOkobo - AIST's Multi-Modal AI lab-automation initiative for autonomous experimentation, now spanning all seven AIST research departments (Tsukuba, Japan).
• ASCEND - BMFTR-funded consortium led by Helmholtz-Zentrum Berlin and the Fritz Haber Institute (with BASF, Siemens Energy, Dunia Innovations, and TU Berlin/BasCat) running AI-guided self-driving labs, high-throughput characterisation, and digital twins to accelerate catalyst discovery for sustainable chemistry (Berlin, Germany · €30M / 5 yrs).
• NSF PCL Test Bed - NSF national network of AI-enabled programmable cloud laboratories: ~$380M to 20 teams over four years plus Astera Institute matching, anchored by nodes like Penn State's LATTICE thin-film SDL with Argonne (State College PA / national, USA · $400M NSF + Astera).
• Ewha IMMS Self-Driving Lab - Korea's MSIT / NRL 2.0 national research laboratory at Ewha Womans University (director Hoi Ri Moon); a 330 m² self-driving lab with ten function-based workstations across five material classes, a Bayesian-optimisation and LLM-agent decision layer, moving to open-access user operation from 2028 (Seoul, Korea · KRW 114B / 10 yrs).
• ARES (AFRL) - The Air Force Research Laboratory's Autonomous Research System (Maruyama): ARES OS was the first major infrastructure package for SDL deployment, demonstrated on autonomous carbon-nanotube growth (Dayton, USA · AFRL).
• CAMEO (NIST) - NIST's closed-loop autonomous system (Kusne) running Bayesian phase mapping jointly with property optimisation live on synchrotron beamlines, with opt-in human collaboration (Gaithersburg, USA · NIST).
• MINERVA (BAM) - BAM's modular robotic platform (Rühle group) for synthesis, purification, and in-line characterisation of nano- and advanced materials (seven materials across five classes), with ELN/LIMS integration via OpenBIS (Berlin, Germany · BAM).
• Swiss Cat+ - ETH Domain-funded national catalysis infrastructure jointly operated by EPFL and ETH Zurich, combining robotic high-throughput experimentation, AI-guided experimental design, and automated workflows to enable self-driving laboratories for catalyst discovery and optimization across homogeneous and heterogeneous catalysis
• BESSY III - HZB's 4th-generation soft-to-tender X-ray source for Berlin-Adlershof, planned from the ground up around intelligent autonomous experimentation, AI-supported sample synthesis and handling, and FAIR data, with synthesis and characterisation laboratories on the same integrated research campus; CDR due 2027, construction from 2032, operations mid-2030s (Berlin, Germany · ≈€900M construction estimate).

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🎓 Academic Groups

Single-institution or PI-led groups operating SDLs in the lab.

• A-Lab - Closed-loop robotic synthesis, characterisation, and ML-driven decision-making for inorganic solid-state materials, targeting 10-100x faster discovery (Berkeley, USA · LBNL).
• Abolhasani Lab - Self-driving fluidic lab combining microreactor flow chemistry, robotics, and AI to accelerate perovskite quantum dots and energy-relevant materials (Raleigh, USA · NC State).
• AMADAP - Brabec group platform spanning high-throughput synthesis, SPINBOT spin-coating, and the AMANDA device line to autonomously discover emerging photovoltaic materials (Erlangen, Germany · FAU + HI-ERN + FZJ).
• Aurora (Empa) - Battaglia Lab's autonomous robotic battery-materials platform automating electrolyte formulation, cell assembly, and cycling on >1200 cycler channels, with ontologized FAIR data management (Duebendorf, Switzerland · Empa).
• CMU Cloud Lab - Remote-access 24/7 facility with 200+ instruments letting researchers anywhere design and run autonomous chemistry, biology, and materials experiments (Pittsburgh, USA · Carnegie Mellon).
• Cooper Group / MIF Liverpool - Andy Cooper's mobile robot chemists roam the Materials Innovation Factory, autonomously running photocatalyst, porous-material, and CO₂-capture experiments; the £81M MIF opened in 2017, building on the robotic Centre for Materials Discovery running since 2007 (Liverpool, UK).
• Coscientist - LLM-driven agent from Gabe Gomes' group that reads literature, plans syntheses, and controls liquid-handling robots from natural-language prompts (Pittsburgh, USA · CMU).
• Cronin Group / Chemify - Glasgow group behind the Chemputer and chemputation: synthesis encoded as executable code on universal robotic platforms, commercialised through spinout Chemify (Glasgow, UK · U Glasgow).
• DeepH (Duan Group) - Tsinghua physics group developing DeepH, a universal neural-network DFT Hamiltonian model accelerating electronic-structure prediction across arbitrary material structures (Beijing, China · Tsinghua).
• DIFFER Autonomous Energy Materials Discovery (Süleyman Er) - Computational group screening energy materials (redox-flow electrolytes, electrocatalysts) via high-throughput DFT plus ML over public chemical databases (Eindhoven, Netherlands · NWO institute).
• dLab - Hitosugi-group digital lab chaining thin-film synthesis with XRD, Raman, conductivity, and optics for fully automated standardised materials data (Tokyo, Japan · U Tokyo).
• Doyle Group - UCLA catalysis group fusing nickel cross-coupling, photocatalysis, and machine-learning reaction optimisation through founding roles in BioLEC and C-CAS centres (Los Angeles, USA · UCLA).
• Genesis - Ross King's third-generation Robot Scientist programme pursuing fully automated hypothesis generation and testing across biology and chemistry (Gothenburg, Sweden · Chalmers).
• Grzybowski Group / IBS-CARS - IBS Center for Algorithmic and Robotized Synthesis pairing AI retrosynthesis (Chematica/Synthia) with closed-loop chemical robotics (Ulsan, Korea · UNIST + Polish Acad. Sci.).
• Hein Lab / Telescope Innovations - UBC spinout commercialising self-driving process-chemistry platforms (IvoryOS, DirectInject-LC) for pharma, critical minerals, and Acceleration Consortium partners (Vancouver, Canada · UBC).
• Jensen Lab - MIT ChemE group integrating flow reactors, robotics, online analytics, and machine learning into autonomous platforms for reaction discovery and process development (Cambridge MA, USA · MIT).
• Jiageng Innovation Lab 嘉庚创新实验室 - Provincial mega-institute building China's first dedicated energy-storage research infrastructure, spanning low-carbon energy, displays, and graphene (Xiamen, China · Xiamen University / Fujian).
• ZJU iBioFoundry + iChemFoundry - Zhejiang University's twin automated science installations at the Hangzhou Innovation Center — a synthetic-biology iBioFoundry and a molecular-manufacturing iChemFoundry, 300+ instruments across 14,000 m², operated as shared platforms (Hangzhou, China · ZJU + Hangzhou).
• Jun Jiang Group (USTC) - Robotic AI-Chemist 2.0 lineage couples on-board LLM multi-agent ChemAgents with cloud-linked lab robots for autonomous chemistry (Hefei, China · USTC).
• KAIST-POSCO Autonomous Lab - Dong-Hwa Seo's industry-academia autonomous lab with POSCO N.EX.T Hub cutting battery cathode discovery time by 93 percent (Daejeon, Korea · KAIST + POSCO).
• KIST MARK System - KIST's robotic synthesis + characterisation + ML workflow for accelerated discovery across battery and functional materials (Seoul, Korea · KIST).
• Ley Group - Cambridge group pioneering continuous-flow and machine-assisted synthesis for natural products and methodology, with four spinouts and 900+ publications (Cambridge, UK · U Cambridge).
• MMLI / Burke Group - NSF-funded institute around Burke's iterative MIDA-boronate small-molecule synthesizer, closing the loop with AI agents like AlphaSynthesis (Champaign, USA · UIUC · $20M+ NSF).
• NIMS Autonomous AI Network - NIMS-Tsukuba framework letting multiple autonomous AI labs spontaneously share data and coordinate searches across different material systems (Tsukuba, Japan · NIMS + Tsukuba).
• Noël Group - Flow chemistry group running RoboChem, an autonomous photocatalytic reaction platform that optimises continuous-flow photochemistry without human intervention (Amsterdam, Netherlands · U Amsterdam).
• Polybot - AI-driven autonomous platform at Argonne CNM that synthesises, prints, and tests electronic polymer films for solar cells, biosensors, and recyclable devices (Lemont, USA · Argonne).
• Shanghai AI Laboratory - National AGI lab whose AGI4S programme builds Intern-S1 scientific foundation models and the Intern-Discovery agent-plus-instrument platform (Shanghai, China · National AI Lab).
• SNU SDL Ecosystem - Yousung Jung's group uses LLMs to predict material synthesisability, anchoring a wider SNU autonomous-lab cluster across batteries and catalysis (Seoul, Korea · SNU).
• SurFF / Uni-MOF (Wang Group) - Xiaonan Wang's group building foundation models (SurFF, Uni-MOF) for catalyst surfaces and MOF gas adsorption at high-throughput screening scale (Beijing, China · Tsinghua).
• AURORA (KTH) - Modular robotic platform integrating automated synthesis, characterisation, and evaluation, demonstrated on metal-halide perovskites (Stockholm, Sweden · KTH).
• BEAR (Brown Lab, BU) - Keith Brown's Bayesian experimental autonomous researcher: closed-loop additive manufacturing and mechanical-design experiments, one of the field's flagship SDL architectures (Boston, USA · Boston University).
• CELEST Autonomous Battery Lab - Fully automated, AI-planned battery-materials lab that autonomously synthesises, assembles, and cycles cells (Ulm, Germany · KIT + Ulm + HIU).
• EPFL Self-Driving Lab (LIAC) - Self-driving platform for nano- and advanced-materials synthesis with active-learning optimisation (Lausanne, Switzerland · EPFL).
• KIMS Autonomous Alloy Lab - Closed-loop alloy discovery (arc-melting to annealing to XRD) with reinforcement-learning optimisation (Changwon, Korea · KIMS).
• KIER Smart Laboratory - 24-hour autonomous synthesis, analysis, and XRD for safety-critical energy and catalyst materials (Daejeon, Korea · KIER).
• MAOSIC (CUHK-Shenzhen) - The first cloud-SDL demonstration: Xi Zhu's materials acceleration operating system in cloud, which autonomously discovered chiral inorganic perovskite nanocrystals via remote collaboration (Shenzhen, China · CUHK-Shenzhen / AIRS).
• Matter Lab - Alán Aspuru-Guzik's group; originated the modern SDL field with ChemOS (2017) and spun out Kebotix, Atinary, and the Acceleration Consortium (Toronto, Canada · U Toronto / Vector Institute).
• IMDEA Materials SDL - Haranczyk group self-driving lab for automated polymer processing (melt and solution workflows), serving six Madrid research groups and the Materials-Commons EU network (Getafe/Madrid, Spain · IMDEA).
• IPRD - Institute of Process Research and Development, University of Leeds (Leeds, UK · IPRD Lab 650 m²).
• ODACell - Self-driving battery laboratory developed at Uppsala University's Ångström Advanced Battery Centre, integrating automated electrolyte formulation, robotic coin-cell assembly, in-line cycling, computer vision, and Bayesian optimization for closed-loop electrolyte discovery (Uppsala, Sweden · Uppsala University).
• Ophelia (Empa) - Battaglia Lab platform running 8 parallel CO₂-electrolysis reactors for gas-diffusion electrodes with automated online gas and liquid product analysis, published as an open blueprint (Duebendorf, Switzerland · Empa).
• AI4Mat Initiative | Hip Lab - Kedar Hippalgaonkar's initiative integrating AI, robotics, and agentically driven high-throughput experiments for functional energy and electronic materials, backed by a S$25M MTI Programmatic Award and the S$10M Mat-GDT platform (Singapore · NTU).
• ChemTech Lab - Connor Taylor's self-driving laboratory for drug discovery and chemical process development, funded through a £2M RAEng research fellowship (Nottingham, UK · University of Nottingham).
• MAITENA (CIC energiGUNE) - Automation and AI platform for inorganic energy materials combining automated co-precipitation, solvothermal, and sol-gel synthesis with XRD and electrochemical characterisation and active-learning experiment design (Vitoria-Gasteiz, Spain · CIC energiGUNE).
• AITHYRA - Austrian Academy of Sciences institute for biomedical AI under founding director Michael Bronstein, building a closed-loop AI-driven robotics lab: vision-enabled liquid handlers, self-teaching robotic arms, and sensor-rich work cells under an AI orchestration layer, with 100 m² in phase I at the Marxbox and 400 m² in the purpose-built Vienna BioCenter building (Vienna, Austria · €150M over 12 years, Boehringer Ingelheim Stiftung).
• AI BioDesign (Allen Institute) - Open-science accelerator with the University of Washington and Fred Hutch designing proteins and genes that do not exist in nature; bench teams run massively parallel library experiments while a machine-learning team chooses each next round, scored on how much the models improved. Scale comes from parallelising inside the test tube rather than from robotics (Seattle, USA · $95M Fund for Science and Technology).
• CircuLab - WISE Research Technology Platform at Stockholm University for circular and sustainable materials: automated synthesis and processing, real-time monitoring of emissions, hazardous chemicals and physicochemical change, and ML plus Bayesian-optimisation decision making across four clusters and about 20 instruments; open to academia, start-ups, and industry (Stockholm, Sweden · WISE + Stockholm University).

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🏭 Commercial & Industrial

For-profit SDL companies, pharma in-house programmes, and hardware/instrument vendors with SDL relevance.

• Arctoris - Oxford-based automated drug-discovery CRO running the Ulysses robotic platform for reproducible biochemical, cell, and molecular assay data (Oxford, UK · ~$15M raised).
• ByteDance Seed AI4S - ByteDance's foundation-model team applying AI to biological structure prediction (Protenix), quantum chemistry, and topological materials physics (Beijing, China · Corporate).
• Chemspeed Technologies (Bruker) - Swiss lab-automation vendor selling modular robotic synthesis, formulation, and characterisation workflows for materials, pharma, and battery R&D (Füllinsdorf, Switzerland · Bruker NASDAQ).
• CMU AI Science Foundry - Carnegie Mellon initiative running the ASAP autonomous platform for AI-guided experiments in hard materials, chemistry, and biology (Pittsburgh, USA · Federal + Univ).
• Culture Biosciences - Cloud-connected 250 mL bioreactor service for outsourced upstream bioprocess development with remote monitoring and bioprocess software (South San Francisco, USA · $107M raised).
• Cusp AI (Cambridge HQ) - AI-driven materials discovery startup (Max Welling co-founder) designing functional crystals on demand for carbon capture, batteries, PFAS removal, and semiconductors (Cambridge, UK · $100M+ Series A · $520M val).
• Cusp AI (Amsterdam node) - Amsterdam Science Park (Lab42) node of CuspAI running the Welling-led ML stack for generative inverse design of functional materials (Amsterdam, Netherlands · part of $520M val).
• Deep Principle 深度原理 - Agentic AI for materials and chemistry. ECML framework orchestrates DFT, MD, ML, and wet-lab experiments; recently hired MIT's Heather Kulik as Chief Scientist (Hangzhou, China · A2 round).
• DP Technology / Bohrium 深势科技 - AI-for-Science company behind Bohrium, Hermite, Piloteye, and Uni-Lab, building foundation-model infrastructure for chemistry, biology, and batteries (Beijing, China · VC).
• Emerald Cloud Lab - Remote-controlled cloud laboratory letting scientists design and run wet-lab experiments on 200+ instrument models via a unified software interface (Austin, USA · SaaS).
• Fraunhofer MAPs - Fraunhofer ISC programme coupling robotic synthesis and characterisation with AI-driven design for glass, battery, and functional materials (Würzburg, Germany · €20M).
• Ginkgo Bioworks - Synthetic-biology platform offering autonomous strain-engineering foundries and cloud-lab access for antibody, enzyme, and cell-line programmes (Boston, USA · $786M raised).
• Hamilton Company - Reno-based manufacturer of Microlab liquid-handling robots, process sensors, and automated sample-storage systems used across pharma and clinical labs (Reno, USA · ~$815M rev).
• Kebotix - Self-driving lab platform pairing generative chemistry, automated synthesis, and robotic characterisation for specialty-chemicals and advanced-materials discovery (Cambridge MA, USA · $23.7M Series B).
• LabGenius Therapeutics - Bermondsey biotech whose EVA platform closed-loops ML design with automated wet-lab cycles to engineer selectivity-enhanced antibodies for solid tumours (London, UK · undisclosed VC).
• Lila Sciences - Flagship Pioneering venture building Scientific Superintelligence: AI agents coupled to autonomous wet labs across therapeutics, materials, energy, and chemicals (Cambridge MA, USA · $550M).
• Medra AI - Physical AI scientists for life-science labs: vision-guided robot arms operating standard instruments end-to-end across gene editing, cell biology, and microbial discovery (San Francisco, USA · $63M total · Series A Dec 2025).
• Novartis MicroCycle - Novartis Basel in-house self-driving lab integrating micro-scale synthesis, automated purification, real-time bioassays, and ML-driven compound design (Basel, Switzerland · internal).
• Opentrons - Open-source liquid-handling robots and the Flex workstation plus OpentronsAI natural-language protocol design for genomics and proteomics labs (Brooklyn, USA · $261M raised · $1.8B val).
• Peak Analysis & Automation - UK lab-automation integrator building modular robotic workcells with Overlord scheduling software for life-science and pharma throughput (Farnborough, UK · Private · Grenova group).
• Periodic Labs - Stealth-emerged lab building AI scientists with paired autonomous laboratories, starting with materials physics: superconductors and semiconductor thermal materials (San Francisco, USA · undisclosed VC).
• Qingkui 青葵智造 - Beijing-registered robotics-plus-AI scale-up building chemistry workstations for pharma, energy, and advanced materials; planning a 100-robot AI cloud lab in Yichang (Beijing/Yichang, China · municipal + VC).
• Strateos - Cloud-lab-as-a-service operating robotic San Diego and Menlo Park facilities for remote small-molecule, biologics, and synthetic-biology workflows (San Diego, USA · acquired by Multiply Labs 2023).
• Tecan Group - Swiss-listed maker of Fluent and Freedom EVO liquid-handling platforms plus OEM components for diagnostics and life-science automation (Männedorf, Switzerland · SIX: TECN · CHF 934M rev).
• XtalPi 晶泰科技 - HKEX-listed AI + quantum-physics + robotics platform running autonomous drug-discovery and materials labs across Shenzhen, Shanghai, and Boston (Shenzhen, China · HKEX 2228 · HK$47B pipeline).
• Yongjiang Lab 甬江实验室 - Zhejiang provincial materials research institute running advanced functional, structural, and transformative materials platforms including a 6-inch micro-nano device line (Ningbo, China · provincial).
• Radical AI - AI agents coupled to a closed-loop robotic lab discovering inorganic materials, alloys, and electrolytes; CSO Gerbrand Ceder built LBNL's A-Lab (New York, USA · $55M seed).
• Mattiq - Northwestern spinout running high-throughput combinatorial megalibrary synthesis of millions of nanomaterials per day to train AI for clean-energy catalysts (Chicago, USA · ~$35M).
• Dunia Innovations - Self-driving labs running the full design-make-test-analyse loop for electrocatalyst, battery, and CO2-conversion materials, scaling to a €280M Berlin GigaLab (Berlin, Germany · €10.6M seed + €280M).
• ChemLex - 24/7 fully automated robotic synthesis line (~800 reactions/day) coupling AI to wet-lab chemistry for drug discovery (Singapore · $45M).
• MegaRobo 镁伽科技 - China's largest smart-lab robotics company, building autonomous agents that run real experiments across life sciences, chemistry, and energy materials (Beijing, China · ~$300M).
• FutureHouse / Edison Scientific - AI-scientist agent stack (the Robin multi-agent discovery system) coupled to its own robotic wet lab; for-profit spinout Edison (San Francisco, USA · $70M).
• SOLVE Chemistry - London SDL flow lab pairing online-UHPLC high-throughput experimentation with Bayesian optimisation for predictive process chemistry and right-first-time scale-up (London, UK · £4M).

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🛰 Lab OS & Orchestration

Software platforms, scheduling layers, and instrument-connectivity standards that make SDLs run.

• ABB Robotics - Industrial robotics arm supplying GoFa and YuMi collaborative arms plus AVR autonomous mobile robots for multi-vendor lab workcells (Zürich, Switzerland · Public).
• Artificial - aLab Suite orchestrates instruments, robots, people, and data into closed-loop digital workflows for life-science labs (Palo Alto, USA · Microsoft M12-backed).
• Atinary - SDLabs no-code platform pairing Bayesian and ML optimizers with robotic hardware for closed-loop chemistry and materials discovery (Lausanne, Switzerland · undisclosed).
• Automata (LINQ) - LINQ platform orchestrates modular benchtop robotics with a node-based workflow canvas and Python SDK for genomics and assay screening (London, UK · $45M Series C).
• Benchling - Cloud R&D platform combining ELN, registry, inventory, and workflow tools for biotech, used by most large biopharma (San Francisco, USA · $412M · $6B val).
• Cenevo (Titian + Labguru) - Post-merger entity behind Mosaic sample tracking and Labguru ELN/LIMS, integrating 150+ instruments across biopharma R&D (London, UK · undisclosed).
• HighRes + Opentrons - Modular robotic workcells and Cellario scheduling software paired with Opentrons via a 2026 agent-to-agent AI workflow partnership (Beverly, USA · strategic partnership).
• QPillars - Zurich startup making lab instruments agent-ready through MCP servers and SiLA 2 drivers, so AI copilots can turn natural-language requests into validated, reproducible instrument workflows (Zurich, Switzerland · Innosuisse-backed).
• Synthace - Digital experiment platform for designing, simulating, and executing high-dimensional multivariate experiments on lab automation hardware (London, UK · undisclosed).
• Unchained Labs (Stuntman) - Stuntman is a natural-language AI automation platform with flexible hardware for biologics, gene therapy, and reaction screening (Pleasanton, USA · undisclosed).
• UniteLabs - Python-based lab automation OS connecting 175+ instruments through one API for code-defined, version-controlled workflows (Munich, Germany · €2.77M pre-seed).

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📥 Data Downloads & Export

Everything on the map can be taken with you:

• Dataset — sdl-data.txt (grouped plain text) · sdl-data.csv · sdl-data.xlsx. Regenerated from src/data/sdl_data.json at every build, so they always match the live pins. Download buttons also sit on the list page.
• Map export — the map's Export map… dialog renders the current filter selection (type, maturity, domain, characterisation, country) to SVG, PNG, JPEG, or a one-page PDF, in light or dark, with legend and attribution. Built for reports and slides.
• Analysis charts — sdl-analytics.zip: seven matplotlib charts (country, tier, domain, maturity, AI-readiness distributions; growth by year; reported investment) as SVG + PNG, regenerated with npm run analytics on every dataset update.
• View toggle — the map now offers a flat Natural Earth projection alongside the globe for a one-glance world overview.

📐 Data Schema

Pin data is inline in index.html (look for window.SDL_DATA = [...]). Each entry:

{
  id: "aria",                    // short ID
  name: "UK ARIA AI Scientists", // display name
  org: "ARIA",                   // organisation
  city: "London",
  country: "UK",
  flag: "🇬🇧",
  lat: 51.51, lon: -0.13,
  tier: "national",              // national | academic | commercial | labos
  domain: "cross-domain",        // chemistry | materials | energy | biology | batteries | drug-discovery | orchestration | cross-domain
  maturity: "prototype",         // concept | prototype | operational | industrial
  charact: "single-technique",   // synthesis-only | single-technique | multi-technique | advanced-multimodal
  ai: "strong",                  // strong | partial | planned | none
  scale: "national",
  invest: 8,                     // estimated investment in millions (drives salience)
  investLabel: "£6M",
  url: "https://aria.org.uk/",
  sources: ["https://aria.org.uk/funding-opportunities/", ...]
}

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🛠 Local Development

git clone https://github.com/yetiswang/sdl-map.git
cd sdl-map
python3 -m http.server 8000

Open http://localhost:8000/ (loads index.html). Edit in place, commit, and push to deploy via GitHub Pages.

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🤝 Contributing

Corrections, additions, and rename/closure flags are welcome. Open an issue or PR — or, if you'd rather not touch Git, use the submission form: a structured template, fill in the fields and submit. For each new entry, include:

Already on the map? Use Update this entry or This is my lab on the entry's card (or the update form) to correct facts, say what your lab offers and seeks, and keep it current. Entries maintained with their lab are marked as such; introductions between entries are routed through the curator with consent on both sides, and no personal data is published.

• Name + org + location (with coordinates).
• Primary URL (must resolve, not redirect to parking).
• Tier (national / academic / commercial / labos), domain, maturity, charact, ai.
• Sources (2-3 authoritative links: institutional press release, peer-reviewed paper, official funding announcement).

Things that get flagged for revision: dead URLs, rebrands the entry hasn't caught up with, mergers/acquisitions, scope drift, programmes that ended without a successor.

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📜 License

Source available under MIT. Content (pin entries, descriptions) reflects public information about the listed initiatives as of compile time.