Overview

GOAL: Triple Aim (Lead, Time, Cost) ​

Problem
Statement

Research Throughput & Time to Market

80% data is not readily accessible

Overhead cost of drug discovery

Complex calculations, manual processing

Proprietary and unstructured data

Lack of visualizations/analyzations

Intellectual Property

Product, data security and integrity

Right Talent

Inter disciplinary (biology, chemistry, biotechnology, bioinformatics)

Digital overlay (GEN Z talent)

EZEN
Solution

Business Architecture

ELN, LIMS, Registers & Studies

Access source & results data (chromatogram, peak tables, flow cytometric)

Data acquisition, parsing & ingestion

Technology & Data Architecture

Structured & segmented (sample sets, projects, operators, studies, protocols)

Visualization & Analytics (structure search, comparisons, control charting, method viability)

Validated, secured and AI/ML modeling

Benefits Realization

50% Increase in throughput

50% Reduction in lead selection

Instruments, CROs

(unstructured data)

Acquire, Parse

(structured data)

Data, metadata

(standard, API)

ELN, Studies

(Search, Research)