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DNALytics

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Hercule

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Hercule is an on-premise biomanufacturing data platform for biotech and CDMOs. Electronic batch records, CPV automation, DoE, and ML modelling in one GMP-validated system — deployable in weeks, on your own server. In more details : Hercule is a biomanufacturing data management and analytics platform built for biotechs (from development- to commercial-stage) and CDMOs. It runs on-premise on your own Linux server (Docker), keeping your process data inside your perimeter — no cloud dependency, no data sovereignty compromise. Electronic batch records (eBR): Hercule's form editor lets you build ISA S88-structured batch records with embedded operator instructions, mandatory sign-off, and a dedicated validator role. Every parameter captured is semantically typed against the process hierarchy from the moment of entry — not mapped after the fact. A custom batch release report with sign-off panel is generated per batch from the CPV module. Continued Process Verification (CPV): Automated CPV against limits of specification, trends, and golden batch benchmarks. Critically, an out-of-spec value confirmed during a running batch triggers a CPV alarm in real time — before the batch is complete. This is possible because the batch record and the analytics engine are one system, not two integrated modules. Process analytics and ML: DoE (Design of Experiments), multivariate modelling, process optimisation, and federated learning across sites via vantage6 — all working on the same ISA S88-structured dataset. Compliance: GAMP5 V2, 21 CFR Part 11, Keycloak authentication, full audit trail, Trivy-scanned Docker images. Data model: Hercule-CDM — 200+ biomanufacturing concepts structured to ISA S88, covering the full process lifecycle. CPP, CQA, and actionable metadata are baked in at capture, making every dataset immediately ML-ready without a data engineering project. Every batch you run without structured data capture is knowledge you will never recover. Hercule gives you the data infrastructure that turns your manufacturing history into a competitive asset — starting in weeks, not years.

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François C.
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François C.
Supporting Innovation & Safety @CERGroupe🇧🇪
07/29/2026
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Review source: G2 invite
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Hercule: a tool of choice for accelerating process development with the Ambr250

In process development, the bottleneck is rarely ideas — it is the number of bioreactor runs you can afford, and how quickly you can learn from each one. Every campaign costs time and money, and without a structured way to learn across experiments, you end up repeating work or missing parameter interactions that only become visible when the data is properly organised. What Hercule brought us is a methodology as much as a platform. Our development work runs on an Ambr250 — up to 24 parallel bioreactor conditions per campaign. Without a common data model, the output of an Ambr250 campaign is a large, unwieldy timeseries dump across 24 reactors. With Hercule, every condition is mapped to the same ISA S88 process hierarchy from the start: same parameter names, same phase structure, directly comparable across all conditions from the moment data is captured. Each campaign produces a dataset that is immediately analysis-ready — no harmonisation step before you can ask a question. That structured foundation is what allows you to identify parameter interactions and operating ranges faster, carry knowledge forward from one campaign to the next, and move into CPV without re-mapping when the process reaches the clinic or manufacturing. On our first project using the Hercule methodology, we went from 45 weeks of development to 28 weeks — a 17-week reduction. For client programmes where timelines are contractual and Ambr250 campaigns are expensive to repeat, that difference is substantial.

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What is DNALytics?

DNAlytics builds data-driven software and analytics for healthcare and life sciences — turning complex biological and clinical data into decisions that compound over time. We work across three domains: BIOMANUFACTURING INTELLIGENCE Hercule is our on-premise biomanufacturing data platform for biotech and CDMOs. It combines electronic batch records (ISA S88-structured), automated Continued Process Verification (CPV), DoE, and ML modelling in one GMP-validated system — deployable in weeks, on your own server. Proof points from live deployments: · +15% productivity identified in 10 years of structured batch data — surfaced by Hercule in weeks · ~40% reduction in bioprocess development duration BIOTECH & MEDTECH R&D Data science and software development for pharma, biotech, medtech, and IVD companies — from clinical development and biomarker discovery to algorithm development for medical devices and IVD software (SaMD, MDR/IVDR-compliant). We build the analytical and software layer that turns experimental and clinical data into validated, deployable solutions. HEALTH INFORMATICS Healthcare data interoperability, real-world data, and public health initiatives — from hospital scale to regional and national programmes. We work on OMOP and FHIR implementations, European Health Data Space (EHDS) compliance, and data infrastructure for public health decision-making. OUR APPROACH Rigorous data science — machine learning, biostatistics, process analytics — applied to problems with measurable stakes in regulated environments. We publish our methods: 70+ scientific communications. Our open-source ML library LiblineaR is downloaded 2,000+ times per month worldwide.

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Year Founded
2012