AMLo Biosciences

AMLo Biosciences

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

Private Company

Total funding raised: $4.6M

Overview

AMLo Biosciences is a private, pre-revenue diagnostics company developing innovative prognostic tests to better stratify cancer patients by their individual risk of disease progression. Its lead program targets early-stage melanoma, where over 90% of patients are currently over-treated, aiming to redirect resources to high-risk individuals and generate significant healthcare savings. Founded by a team with strong oncology and biotech experience, the company has secured £6.4 million in combined research and equity funding to advance its pipeline, which also includes tests for cutaneous squamous cell carcinoma (cSCC) and oropharyngeal squamous cell carcinoma (OPSCC).

OncologyDermatologyOtolaryngology

Technology Platform

Platform for discovering and validating protein-based or molecular biomarkers that predict cancer progression risk, designed for integration into standard pathology workflows.

Funding History

4
Total raised:$4.6M
Grant$800K
Seed$1.5M
Seed$1.5M
Grant$800K

Opportunities

The massive and growing economic burden of skin cancer creates a powerful incentive for payers to adopt cost-saving prognostic tools.
Successful validation of AMBLor® in melanoma would provide a blueprint for expanding the platform into other high-incidence cancers like cSCC, offering significant pipeline expansion potential.

Risk Factors

The company faces significant risk if its lead biomarker fails to validate in prospective clinical trials, which is common in diagnostics development.
Furthermore, as a small, pre-revenue firm, it may struggle with the complexities and costs of securing reimbursement and achieving commercial adoption without a strategic partner.

Competitive Landscape

AMLo competes in the cancer prognostic space, facing potential competition from other biomarker-driven tests (e.g., gene expression profiles) and existing clinical-pathological risk models. Its success will depend on demonstrating superior accuracy, cost-effectiveness, and ease of integration compared to existing standards of care and emerging alternatives.