The operator's tool, built by operators.
Turning billable hours into software leverage.
Life sciences research runs on billable hours. Keenr turns it into software that RA leads, consultants, and founders can run themselves.
We started with 510(k) predicate research — narrow, laborious, expensive: exactly the shape of work AI software handles well. The platform has since added reimbursement analysis (now in private beta), De Novo precedent retrieval, and AI/ML change-control intelligence, one specialized capability at a time.
From keen: sharp, attentive, discerning.
The work we automate doesn't reward speed alone. It rewards getting the right answer with the right evidence. Sharper analysis, faster cycle times, work that holds up under scrutiny.
Every agent we ship is built to that standard. Narrow scope. Deep corpus. Evidence-first reasoning. Outputs you can audit.
A scientist, a strategist, and a builder.
Keenr is founded by Vinod (Vinny) Kaimal. Most founders building AI for regulated industries come in deep on one axis: technical, commercial, or domain. Vinny works at all three at once.
The credentials: an MS in machine learning, a PhD in medical imaging, and 18 years of operating experience across preclinical research, medical device business development, healthcare strategy consulting, and SaaS commercial leadership.
The career arc: scientist running multi-modality preclinical imaging studies. Business development at a medical device company. Seven years in management consulting advising Fortune 500 healthcare companies on innovation strategy. Customer success, partnerships, and commercial GTM at mid-to-late-stage SaaS and med-tech startups.
Building software that replaces regulatory and commercial research takes someone who has done the science, sat through the strategy review, written the BD pitch, watched a 510(k) get filed, and shipped product against a quota. That combination is rare on its own. It is rarer still in a founder.
Vinny also runs K-Space Growth Strategies, an AI-native GTM advisory practice for health-tech founders. Example engagements include a fractional Chief Business Officer role at a clinical trials consultancy navigating its transformation into an AI-native product company, business development for a European radiology AI startup entering the US market, and commercialization strategy for medical devices emerging from university tech transfer offices.
The same operating discipline runs through both businesses: narrow scope, deep corpus, evidence-first reasoning, outputs you can audit.
Professional services, rebuilt as software.
AI/ML is the fastest-growing category of FDA-cleared devices, and regulatory complexity is compounding faster than billable-hours research can absorb.
Professional services is being rebuilt as software — the shift Harvey brought to legal research, Pilot to accounting, Sierra to customer support. Keenr is bringing it to life sciences, with AI/ML depth as the signature across the whole platform.