Lauren Sciences

Lauren Sciences

Is this your company? Claim your profile to update info and connect with investors.
Claim profile

Private Company

Total funding raised: $450K

Overview

Lauren Sciences LLC, founded in 2008 and based in New York, is a private biotech company tackling the fundamental challenge of delivering therapeutics across the blood-brain barrier. Its proprietary V-Smart® Platform enables the targeted CNS delivery of biologics, nucleic acids, and small molecules that otherwise cannot reach the brain. The company is in a pre-clinical/pre-revenue stage, developing an internal pipeline for major neurological diseases while also pursuing collaborations with pharmaceutical partners to deploy its platform with their proprietary agents.

NeurologyNeuro-oncologyInfectious Disease (Neuro-HIV)Chronic Pain

Technology Platform

V-Smart® Platform: a non-invasive, triple-targeted nanomedicine platform designed to transport a wide range of therapeutic agents (nucleic acids, antibodies, biologics, small molecules) across the blood-brain barrier.

Funding History

2
Total raised:$450K
Grant$300K
Grant$150K

Opportunities

The platform addresses a massive unmet need in CNS drug delivery, potentially unlocking entire classes of therapeutics for brain diseases.
Its versatile, partnership-friendly model allows for multiple revenue streams through internal pipeline development and external collaborations with pharmaceutical companies.

Risk Factors

High technical risk associated with proving safe and effective BBB penetration in humans.
Intense competition in the BBB delivery space and dependency on raising sufficient capital as a pre-revenue, private company to advance programs to clinical validation.

Competitive Landscape

The BBB drug delivery field is crowded with diverse approaches, including focused ultrasound, receptor-mediated transcytosis, and other nanoparticle technologies from both biotech startups and large pharma. Lauren Sciences must differentiate its V-Smart® Platform through robust pre-clinical data and successful translation into clinical efficacy.