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The gap between experiments doesn't have to be slow. ","\u003Cp>\u003Cspan class=\"TextRun SCXW80038290 BCX0\" data-contrast=\"none\">\u003Cspan class=\"NormalTextRun SCXW80038290 BCX0\">Senior scientists in automated labs spend 2.5 to 4 hours a day on coordination work that doesn't advance discovery. 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","\u003Cdiv class=\"OutlineElement Ltr SCXW98090792 BCX0\">\n\u003Cp class=\"Paragraph SCXW98090792 BCX0\">\u003Cspan class=\"TextRun SCXW98090792 BCX0\" data-contrast=\"none\">\u003Cspan class=\"NormalTextRun SCXW98090792 BCX0\">Robots now pipette, dispense, process, and read faster than any technician. But someone still has to pull the results, interpret them, and design the next run. That work hasn't been automated. It just falls on your scientists, every cycle, every day.\u003C/span>\u003C/span>\u003Cspan class=\"EOP SCXW98090792 BCX0\" data-ccp-props=\"{"335551550":1,"335551620":1,"335559738":0,"335559739":160}\"> \u003C/span>\u003C/p>\n\u003C/div>\n\u003Cdiv class=\"OutlineElement Ltr SCXW98090792 BCX0\">\n\u003Cp class=\"Paragraph SCXW98090792 BCX0\"> \u003C/p>\n\u003Cp class=\"Paragraph SCXW98090792 BCX0\">\u003Cspan class=\"TextRun SCXW98090792 BCX0\" data-contrast=\"none\">\u003Cspan class=\"NormalTextRun SCXW98090792 BCX0\">In an exemplary screening team we studied, the robot was occupied for an average of 11 hours per 40-hour working week. The remaining 29 hours, it was waiting on a human decision.\u003C/span>\u003C/span>\u003C/p>\n\u003C/div>","THE PROBLEM","2","white",{"id":423,"sort":104,"collection":424,"item":425},814,"nova_blocks_quote",{"id":104,"sort":47,"user_created":50,"date_created":426,"user_updated":48,"date_updated":427,"name":47,"sub_title":47,"description":428,"internal_name":47,"image":47},"2025-09-18T06:16:26.000Z","2026-05-18T11:46:49.000Z","\u003Cp>\u003Cspan class=\"TextRun SCXW37549801 BCX0\" data-contrast=\"none\">\u003Cspan class=\"NormalTextRun SCXW37549801 BCX0\">When we ask lab leaders what percentage of senior scientist time goes to coordination, the median answer is 15-20%. When we measure it, the actual figure is 35-45%.\u003C/span>\u003C/span>\u003Cspan class=\"EOP SCXW37549801 BCX0\" data-ccp-props=\"{"335559685":360,"335559738":160,"335559739":320,"335572083":6,"335572084":10,"335572085":11184810,"469789810":"single"}\"> \u003C/span>\u003C/p>",{"id":430,"sort":111,"collection":412,"item":431},815,{"id":432,"sort":47,"user_created":48,"date_created":433,"user_updated":400,"date_updated":434,"title":435,"description":436,"tag":437,"columns":438,"cta":47,"variant":421,"internal_name":47,"image":47},93,"2026-04-24T09:02:00.000Z","2026-06-02T15:11:52.000Z","The AI handles the coordination. You review the direction. ","\u003Cdiv class=\"text-left order-2 lg:order-1\" data-v-a67f4431=\"\">\n\u003Cdiv class=\"hero-description-reveal mt-8 text-lg font-medium text-pretty text-white/90 dark:text-gray-200 sm:text-xl/8 max-w-2xl lg:max-w-none\" data-v-a67f4431=\"\">\n\u003Cp>\u003Cspan class=\"TextRun SCXW243990607 BCX0\" data-contrast=\"none\">\u003Cspan class=\"NormalTextRun SCXW243990607 BCX0\">ArkSuite's MCP server gives a connected AI assistant(s) real-time access to your lab environment: inventory levels, instrument status, workflow history, safety, and the job queue. The AI can then act on that information between experimental cycles.\u003C/span>\u003C/span>\u003Cspan class=\"EOP SCXW243990607 BCX0\" data-ccp-props=\"{"335551550":1,"335551620":1,"335559738":0,"335559739":240}\"> \u003C/span>\u003C/p>\n\u003C/div>\n\u003C/div>","WHAT CHANGES","1",{"id":440,"sort":118,"collection":441,"item":442},818,"nova_blocks_list",{"id":125,"sort":47,"user_created":48,"date_created":443,"user_updated":400,"date_updated":444,"header_presentation":47,"title":445,"items":446,"tag":462,"columns":87,"variant":421,"description":463,"internal_name":47,"image":47,"video":47},"2026-05-18T11:50:10.000Z","2026-06-03T07:36:59.000Z","An example ",[447,450,453,456,459],{"description":448,"icon":449},"1. Query. The AI checks ArkSuite for available raw materials, solvents, instrument capacity, and any prior runs on experiments.","query_stats",{"description":451,"icon":452},"2. Propose. It suggests an initial experimental set, focusing on conditions / properties relationships in the response surface. ","task",{"description":454,"icon":455},"3. Validate. ArkSuite checks hardware, inventory, safety, and parameter ranges automatically. Nothing runs without passing this step. ","approval_delegation",{"description":457,"icon":458},"4. Approve. The scientist(s) reviews and approves. The robot runs the experiments set. ","order_approve",{"description":460,"icon":461},"5. Iterate. Results feed back to the AI. It identifies the most informative region of the parameter space and proposes next round. ","dynamic_feed","HOW IT WORKS","\u003Cp>\u003Cspan class=\"TextRun SCXW247846542 BCX0\" data-contrast=\"none\">\u003Cspan class=\"NormalTextRun SCXW247846542 BCX0\">An R+D team is optimising across three variables. This is what one iteration looks like with ArkSuite and a connected AI agent.\u003C/span>\u003C/span>\u003Cspan class=\"EOP SCXW247846542 BCX0\" data-ccp-props=\"{"335551550":1,"335551620":1,"335559738":0,"335559739":200}\"> \u003C/span>\u003C/p>",{"id":465,"sort":125,"collection":412,"item":466},824,{"id":467,"sort":47,"user_created":48,"date_created":468,"user_updated":400,"date_updated":469,"title":470,"description":471,"tag":472,"columns":438,"cta":47,"variant":421,"internal_name":47,"image":47},96,"2026-05-18T12:05:02.000Z","2026-06-02T15:14:45.000Z","A few things worth being clear about ","\u003Cdiv class=\"OutlineElement Ltr SCXW125983357 BCX0\">\n\u003Cp class=\"Paragraph SCXW125983357 BCX0\">\u003Cspan class=\"TextRun SCXW125983357 BCX0\" data-contrast=\"none\">\u003Cspan class=\"NormalTextRun SCXW125983357 BCX0\">The AI does not define research questions, set success criteria, or decide when a project is done. Those stay with your scientists (=human-in-the-loop). It operates within a problem space that has already been framed by a person.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"Paragraph SCXW125983357 BCX0\">\u003Cspan class=\"TextRun SCXW125983357 BCX0\" data-contrast=\"none\">\u003Cspan class=\"NormalTextRun SCXW125983357 BCX0\">Every AI-proposed experiment passes through ArkSuite's standard validation engine before execution. The AI suggests. The platform decides whether the suggestion is executable. Human approval is required before anything runs.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"Paragraph SCXW125983357 BCX0\">\u003Cspan class=\"TextRun SCXW125983357 BCX0\" data-contrast=\"none\">\u003Cspan class=\"NormalTextRun SCXW125983357 BCX0\">This is also not a rip-and-replace project. The MCP server connects to your existing Chemspeed hardware and works with the AI tools you already use.\u003C/span>\u003C/span>\u003C/p>\n\u003C/div>","WHAT IT IS NOT",{"id":474,"sort":475,"collection":412,"item":476},819,9,{"id":477,"sort":47,"user_created":48,"date_created":478,"user_updated":400,"date_updated":479,"title":480,"description":481,"tag":482,"columns":438,"cta":47,"variant":421,"internal_name":47,"image":47},94,"2026-05-18T11:51:38.000Z","2026-06-02T15:16:06.000Z","The prerequisites are simpler than most labs expect ","\u003Cul>\n\u003Cli>An existing ArkSuite installation. Existing customers are already positioned.\u003C/li>\n\u003Cli>Access to an AI assistant that supports MCP: Claude, GPT-4, Deepseek, and / or custom models.\u003C/li>\n\u003Cli>One defined use case to pilot. One campaign, one formulation family, one optimisation problem.\u003C/li>\n\u003Cli>A scientist willing to work with the AI as a collaborator rather than a tool.\u003C/li>\n\u003C/ul>","GETTING STARTED",{"id":484,"sort":485,"collection":486,"item":487},813,11,"nova_blocks_card_grid",{"id":488,"sort":47,"user_created":50,"date_created":489,"user_updated":48,"date_updated":490,"cards_per_row":420,"cards":491,"header_presentation":47,"variant":421,"title":509,"description":510,"tag":47,"card_style":511,"columns":420,"internal_name":127,"expand_last_card":512},20,"2025-09-04T05:54:32.000Z","2025-09-24T12:41:38.000Z",[492,502],{"title":493,"subtitle":47,"description":494,"cta_name":495,"cta_link":496,"image":497,"image_size":501},"Fast, Flexible Experiment Automation","Quickly design, execute, analyze and report experiments with your automated Chemspeed workstation. 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