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description= ChemAI uses AI to discover novel synthetic routes for pharmaceutical molecules - cheaper to make, cleaner to run, and free to own as new process IP.;
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homepage chemai chemai ai synthetic route discovery for pharma homepage chemai chemai ai synthetic route discovery for pharma contact us ai driven synthetic route discovery better routes to the molecules that matter smartchemistry searches millions of ways to make a target molecule and surfaces the ones that are cheaper to manufacture cleaner to run and free to own new process ip for the medicines the world already depends on get in touch what chemai does most high value drugs are made by a handful of known routes often costly un optimized or unsustainable we use ai to discover new ones chemai applies machine intelligence to synthetic chemistry for a given target smartchemistry maps the space of possible routes then ranks them on the three things that decide whether a molecule is worth making what it costs what it wastes and who owns it cost lower cost of goods shorter routes on cheaper available feedstocks change the economics of who can make a molecule and at what margin ip fresh ownable process ip novel disconnections create new defensible patent positions assets to hold or license not expired chemistry to copy green cleaner simpler process fewer hazardous reagents and less precious metal catalysis run over fewer operations routes that are easier and safer to operate at scale one platform from target to validated route a single repeatable workflow the order matters we cost and clear a route in silico before committing bench time 01 target constraints define the molecule and the objectives that matter cost ceiling ip position green targets and the freedom to operate boundaries to design around 02 ai route discovery smartchemistry generates and ranks routes across disconnections a human team rarely has time to enumerate surfacing genuinely novel paths to the same target 03 in silico costing and greenness every candidate is scored on predicted cost of goods step count and scalability so the shortlist is economic and practical not just valid 04 ip lab validation we confirm the leading routes are novel and non infringing then hand the strongest candidate to the bench for confirmation and scale up case studies proven across high value medicines three molecules with well documented manufacturing challenges and where smartchemistry creates room to compete on price on patents or on both global health tuberculosis phase iii tb candidate the disclosed manufacturing route ran to 13 linear steps at roughly 3 end to end yield with further material lost at a chiral resolution smartchemistry found a shorter stereospecific route since confirmed in the wet lab oncology high volume api cdk4 6 inhibitor one of the highest value small molecule franchises for the past decade a first line treatment for advanced metastatic breast cancer with an annual cost of goods exposure approaching 850m smartchemistry identified material route improvements global health antimalarial phase iii antimalarial candidate a long disclosed route pushed cost of goods to roughly 10 000 kg through step count and yield loss smartchemistry proposed and then validated a route with far fewer steps lifting end to end yield from 17 to 42 who it s for if the route decides the business case we should talk generic specialty manufacturers enter markets earlier and at better margin with non infringing routes engineered for cost from the first disconnection originators licensors strengthen lifecycle and process ip cut cost of goods on existing assets and open new licensing revenue from owned chemistry global health programmes hit aggressive cost per treatment targets for access priced medicines with costed scalable greener routes publications meet the team contact us read the latest from our team on the chemai blog privacy policy chemai ltd 2026
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