Clair is your AI-enhanced senior scientist: any sample from intake to interpretation at the principal bar, at a fraction of the cost, built to augment principal scientists rather than replace them.
A clean read on the biology you're changing.
Clair is your AI-enhanced senior scientist: any sample, from intake to interpretation, at the principal bar and a fraction of the cost of another senior hire. It doesn't replace your experts; it takes the repetitive, high-stakes work off their hands so their time goes to the science only they can do.
The judgment that makes an assay work rarely reaches the protocol.
It is tacit, held in a few senior scientists' hands, and it leaves when they do. The market is fragmented too: one vendor dissociates, another sequences, another analyzes, and you stitch it together, losing signal at every seam. Getting to viable single cells alone is where many experiments quietly die.
One chain. One owner. The senior bar, start to finish.
Hand Clair any input, embryo, tissue, fresh, frozen, or cells, and get back integrated, interpreted signal. Every project starts by fixing the statistical framework and replicate design, then runs end to end on commercial kits or Clair's own low-cost chemistry. The specialty is low-input and no-kit methods, the finicky work a commodity shop can't take.
Fragmented vendors lose signal at every seam. Clair owns the whole chain, so the biology survives.
Hold the kit price flat, and the entire cut is senior time.
Senior labor is ~65% of the true cost of these skilled assays. Automation collapses it while the judgment stays encoded. Clair's DIY kits shrink the reagent block too, widening the cut to ~55%+. Turnaround (1 week vs 4-6) is a separate throughput multiplier.
Augment the expert. Never replace them.
Clair does not replace your principal scientists. It takes the repetitive, high-stakes work off their plate, the boring parts that still must be done exactly right, for less than another senior hire. Their time goes back to the science only they can do.
Wet-lab R&D is still bound to one skilled human per role, because the judgment that makes an assay work never reached the protocol. Encode it and the ratio inverts: a 50-person lab becomes ~20 machines and one supervising scientist. Autonomous science, made real.