SenseUp Biotech provides a cloud‑native platform that integrates multi‑omics data ingestion, AI‑driven target prioritization, and modular assay kits for high‑throughput screening. The system automates data preprocessing, stores results in a GxP‑compliant repository, and offers APIs for LIMS/ELN integration, enabling biotech and pharma teams to accelerate target validation and reduce hand‑off delays.
Funding
$2.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CFounders
Product
Problem
Biotech and pharmaceutical research teams often encounter prolonged discovery timelines, fragmented data workflows, and high attrition rates when moving from target identification to preclinical validation. Limited access to integrated analytics and scalable assay infrastructure hampers the ability to translate biological insights into viable product candidates efficiently.
Solution
SenseUp Biotech delivers an end‑to‑end research platform that consolidates multi‑omics data ingestion, AI‑driven target prioritization, and modular assay development within a cloud‑native environment. The service automates data preprocessing, applies machine‑learning models to rank therapeutic targets, and provides ready‑to‑use assay kits for functional validation. Researchers can launch high‑throughput screens on a shared instrumentation fleet, while all experimental metadata and results are stored in a GxP‑compliant repository. Integrated APIs enable seamless connection to existing LIMS, ELN, and electronic lab notebooks, facilitating collaborative project management across sites. The platform’s reporting dashboard generates reproducible analytics and regulatory‑ready documentation, reducing hand‑off delays and accelerating go‑to‑market timelines.
Target Audience
Primary customers are early‑stage biotech firms, pharmaceutical R&D divisions, and academic research groups that require accelerated target validation and scalable assay capabilities without building in‑house infrastructure.
Features
- Unified ingestion pipeline for genomics, proteomics, and metabolomics datasets with automated QC and normalization
- Proprietary machine‑learning models for target discovery, pathway mapping, and risk scoring
- Modular assay development kit covering biochemical, cellular, and phenotypic readouts, compatible with standard plate formats
- Scalable high‑throughput screening (HTS) infrastructure accessible via a reservation‑based web portal
- Cloud‑based collaboration workspace with version‑controlled data, audit trails, and role‑based access controls (GxP‑compliant)
- RESTful APIs for integration with LIMS, ELN, and third‑party analytics tools
- Customizable reporting dashboards delivering KPI visualizations, statistical summaries, and exportable regulatory dossiers
- On‑demand contract research services for assay optimization, hit validation, and lead optimization