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BioMara

Designing digital foundations for a greenfield biorefinery

Industry
Biotechnology — seaweed biorefinery and nutraceutical ingredients
Headquarters
Edinburgh, Scotland, United Kingdom
Public information as of
March 2026

A4BEE prepared this analysis from publicly available sources. It reflects our own reading of BioMara's published strategy and is not endorsed by, or produced in cooperation with, BioMara. Company website

Strategic priorities

BioMara, a UK biotechnology start-up founded in 2022 and headquartered in Edinburgh, is moving from grant-funded pilot trials to its first wholly-owned commercial-scale biorefinery. Founder James Dignan has stated publicly that the goal is to open that plant within two to three years, with a network of global facilities in the decade after. Cumulative Innovate UK grant funding disclosed on UKRI's Gateway reaches around £547,000 across four awards between November 2022 and March 2025, alongside a $820,000 seed/early round led by Blue Bio Value and Maze X.

The technical centre of gravity is a patent-pending cascading biorefinery that produces two outputs from one harvest: Thalivra, a high-purity fucoidan extract for nutraceutical applications, and Seafibrex, a functional fibre ingredient (>50% fibre) targeting mass-market bakery, condiment and plant-based formulations. Seaweed is 90% water by weight, which makes water removal the dominant energy and capex variable in the process. The current pilot work runs at Macphie's Aberdeenshire pilot factory, with human sensory and clinical data generated at Abertay University in Dundee and clinical chemistry routed to independent third-party laboratories.

The target market is sized at $395 million in 2025 and forecast to reach $1.16 billion by 2036 for the broader seaweed-derived carrageenan-alternative segment, with multinational food-conglomerate buyers setting the bar on powder format, batch-to-batch consistency and end-to-end clean-label traceability. Meeting those requirements at commercial volumes is the central question for the digital foundations of the new plant.

BioMara currently operates with three direct employees and a distributed partner network, and has no manufacturing execution, supervisory control or enterprise IT estate of its own. That is the window in which IT/OT architecture, lab data consolidation, process simulation and clean-label traceability infrastructure can be specified into the plant design rather than retrofitted later.

Challenges we see

  • Operations Manufacturing

    Reading moisture and energy profiles along the extraction line

    Seaweed is 90% water by weight. Founder James Dignan has stated publicly that 'fucoidan is the highest value part of the seaweed — so without valorising these compounds, the business model doesn't really work, because seaweed is 90% water.' Scaling the extraction cascade from the Macphie pilot kitchen to a continuous commercial plant introduces proportional increases in energy consumption and in the cost of any thermal or yield inefficiency.

    At pilot scale, throughput is low enough that energy and yield drift can be observed by hand; at commercial scale, the same drift sits in the middle of a much larger flow of biomass and water, so reading moisture, temperature and specific energy continuously along the line becomes a first-order control problem rather than a reporting one.

  • Digital Integration

    Linking research data across academic and industrial partner sites

    Vital clinical, sensory and process data are generated at Abertay University's sensory laboratory in Dundee, at Macphie's pilot factory in Aberdeenshire, and at independent third-party laboratories conducting health-claim substantiation. Founder James Dignan has said: 'The challenge is having verified research-backed science behind the product to differentiate.'

    Where data move between partner sites by file transfer, paper printout or isolated spreadsheet, the same assay or sensory result is re-keyed at each boundary, which lengthens the path from a research finding to a regulatory dossier and exposes every transfer to transcription loss.

  • Operations Operations

    Keeping the dual product streams in balance

    Thalivra (fucoidan) and Seafibrex (residual biomass) are produced from the same harvest in a defined sequence: residual biomass from the Thalivra extraction becomes the feedstock for Seafibrex. Demand, processing time and shelf-life differ between the two streams, so a mismatch between them converts sellable biomass into perishable waste and undermines the zero-waste mandate.

    Co-product production lines turn into a coordination problem once each stream has its own demand signal and shelf-life clock, which moves inter-stream synchronisation onto the plant scheduling layer rather than into the recipe.

  • Digital Integration

    Specifying IT/OT architecture before the first commercial plant is built

    BioMara currently operates without manufacturing execution systems, supervisory control or enterprise IT of its own. The first wholly-owned commercial plant is targeted for first operation within two to three years. Equipment procurement and network design choices made during this window will define what plant data can reach enterprise systems for the next decade or more.

    Greenfield plant builds are the moment when interoperability is cheapest to specify and most expensive to add later, because the cabling, segmentation and equipment data contracts decided at procurement become the plant's permanent data backbone.

  • Compliance Regulatory

    Documenting batch provenance for clean-label buyers

    Global clean-label certification bodies and multinational food-conglomerate buyers require end-to-end traceability from marine farm to finished powder, supported by EFSA- and FDA-aligned clinical substantiation. Sustainability and chemical-free extraction claims need to be backed by verifiable evidence before they can be written into a B2B supply contract.

    Where chain-of-custody data live in operator notebooks, spreadsheets and PDF certificates, assembling a clean-label dossier for one shipment becomes a manual reconstruction, which scales linearly with shipment volume and is not auditable in real time.

Opportunities, by urgency and business impact

Each bubble is one opportunity, numbered to match the list below. Further right means it bites sooner; higher means a bigger effect on the business. A bigger bubble means a bigger implementation effort.

Source: A4BEE analysis of public sources

  1. Instrumenting the extraction line for continuous energy and yield visibility

    Seaweed is 90% water by weight, and the dewatering and extraction cascade is the dominant energy consumer in the process. At pilot scale, the team observes moisture and energy by hand; at commercial scale, the same observations have to be made continuously across many more tonnes of biomass per hour.

    IoT moisture and temperature probes along the extraction line stream into an edge and cloud data path, so specific energy per kilogram of finished compound and per-batch yield are visible in real time and the operating envelope for the next batch can be set from the data of the previous one.

    • Founder James Dignan quoted on the role of fucoidan in the business model, Vitafoods Insights, 2025
    • BioMara profile on PitchBook, 2026

  2. Consolidating research data into one audit-ready record across partner sites

    Clinical, sensory and process data are generated at Abertay University, at Macphie's pilot factory, and at independent third-party laboratories. The handoffs between sites run on file transfer and paper, which lengthens the path from a research finding to a regulatory dossier and exposes every handoff to transcription loss.

    An electronic lab notebook and partner-facing data platform aggregates the assay, sensory and clinical records from each site against a shared schema, so a single query returns comparable results and a regulatory dossier assembles from the same source records the research team is using.

    • BioMara partnership coverage, Fishfarming Expert, 2024
    • Innovate UK grant awards for BioMara, UKRI Gateway, 2022-2025

  3. Simulating the commercial cascade in a digital twin before construction

    The first wholly-owned commercial plant is targeted for first operation within two to three years and is expected to cost several million pounds to build. Thermal efficiency, fluid-dynamics behaviour and biomass throughput at commercial scale cannot be observed on the pilot line, and yield or energy surprises discovered during commissioning fall directly onto capex recovery.

    A digital twin of the bespoke cascade, calibrated against Macphie pilot data, simulates dewatering energy, compound yield and biomass throughput across candidate plant configurations so leadership can compare capex, energy and yield outcomes before equipment orders are placed.

    • Founder James Dignan on the commercial plant timeline, Vitafoods Insights, 2025
    • Seaweed-derived carrageenan alternative market outlook, Future Market Insights, 2025

  4. Scheduling the two product streams against demand and shelf life

    Thalivra and Seafibrex are produced from the same harvest in sequence, with different downstream demand signals and different shelf lives. Mismatch between the two streams turns the residual biomass from a sellable co-product into a perishable waste stream and breaks the zero-waste promise that underpins the unit economics.

    A scheduling layer that holds demand forecasts, current batch status and shelf-life clocks for both streams produces a daily plan that keeps the two in step, so the Seafibrex outlet for each Thalivra batch is committed before the Thalivra run is started.

    • R&D Manager Paul McKnight on Seafibrex integration at Macphie, Fishfarming Expert, 2024
    • Future Food-Tech London 2025 start-up profile, BioMara

  5. Generating clean-label provenance from plant sensors rather than paperwork

    Multinational food-conglomerate buyers and clean-label certification bodies require end-to-end provenance from marine farm to finished powder, and sustainability and chemical-free extraction claims must be backed by verifiable evidence. Provenance assembled by hand for each shipment does not scale with shipment volume.

    An IT/OT topology that records harvest batch, extraction parameters and finished-powder attributes against the same batch identifier auto-generates a clean-label certificate per shipment from the underlying records, so the dossier presented to the buyer is produced by the plant rather than compiled for it.

    • Future Market Insights, seaweed-derived carrageenan alternative market report, 2025
    • BioMara profile, Ingredients Network

What we'd propose

  • Digital CDMO

    Line-side telemetry and energy model for the extraction cascade

    An instrumented data path along the extraction cascade: moisture, temperature, flow and specific-energy sensors stream into an edge and cloud model that exposes per-batch yield and per-kilogram energy in real time, with the operating envelope for the next batch set from the data of the previous one.

    • Sensor layer along the cascade

      Moisture, temperature, flow

      Fit moisture probes, temperature sensors and flow meters along dewatering, extraction and separation stages so that each step in the cascade emits a time-stamped reading through a documented protocol rather than via operator observation.

    • Edge-to-cloud data path

      Plant data into one model

      Stream sensor readings through an edge gateway into a time-series store, so the same data set feeds operator dashboards, the yield and energy model, and the digital twin without a separate manual extract for each consumer.

    • Per-batch yield and energy model

      Specific energy per kilogram

      Compute specific energy per kilogram of finished compound and per-batch yield against the incoming biomass grade, with a documented operating envelope that the next batch is run inside and against which deviation is flagged in minutes rather than in a later report.

    • Specific energy and yield become visible at batch close instead of at month close.
    • The next batch's operating envelope is set from the data of the previous one.
    • Energy and yield evidence is generated by the line and is available for investor and grant reporting without a separate exercise.

    We've done this before

    See how we do Digital CDMO
  • Digital Lab

    Partner-facing research data platform across Abertay, Macphie and contracted labs

    A cloud data platform with an electronic lab notebook and partner-facing data exchange that consolidates the assay, sensory and clinical records generated at Abertay University, Macphie's pilot factory and independent third-party laboratories against one schema.

    • Electronic lab notebook for internal and partner work

      One workspace, partner access

      Stand up an electronic lab notebook with role-based access so Abertay researchers, Macphie process engineers and BioMara scientists capture protocols, results and observations in one workspace, with partner access controlled by project and dataset rather than by ad hoc file exchange.

    • Schema for assay, sensory and clinical records

      One record shape

      Define the schema for assay, sensory and clinical records so the same record shape is produced at each partner site, which makes cross-site queries return comparable answers and removes the re-keying that happens when each site uses its own template.

    • Regulatory dossier assembly from source records

      Submissions built from data

      Assemble EFSA and FDA-aligned submission dossiers from the same source records the research team is using, so the dossier reflects the current dataset at the time of submission rather than a snapshot compiled manually for that submission.

    • The path from a research finding to a regulatory dossier shortens to one record movement instead of several handoffs.
    • Each partner site contributes against a shared schema, which makes cross-site comparison a query rather than a manual exercise.
    • Intellectual property and clinical data sit in one governed environment with role-based access, which is easier to protect than data scattered across partner file systems.

    We've done this before

    See how we do Digital Lab
  • Enterprise AI

    Digital twin for the bespoke cascade, calibrated against pilot data

    A virtual model of the BioMara cascade — dewatering, extraction and co-product separation — calibrated against Macphie pilot runs, used to compare candidate plant configurations on energy, yield and throughput before equipment orders are placed.

    • Process model of the bespoke cascade

      Dewatering through to separation

      Build a process model that covers dewatering, compound extraction and co-product separation with the energy and yield relationships specific to the patent-pending cascade, rather than a generic bioprocess template.

    • Calibration against Macphie pilot runs

      Pilot data feeds the model

      Stream pilot operating data from the Macphie runs into the model so its parameters are calibrated against observed behaviour, which is the difference between a model that approximates the cascade and one leadership can use to defend a capex case.

    • Configuration comparison for capex decisions

      Compare plants before ordering

      Run candidate plant configurations through the calibrated model to compare specific energy, throughput and yield outcomes, so leadership and investors see projected operating numbers for each configuration before a procurement commitment is made.

    • Plant configuration choices are tested against a calibrated model before equipment is ordered.
    • Investor and grant reporting on capex viability uses model outputs that match pilot observation.
    • The same model becomes the reference for operating-envelope decisions once the plant is running.

    We've done this before

    See how we do Enterprise AI
  • Digital CDMO

    IT/OT reference architecture for the first commercial plant

    An IT/OT reference architecture written for the first commercial plant: network segmentation, protocol choices and equipment data requirements agreed before procurement, so the plant's data path is designed rather than retrofitted and the digital twin, scheduling layer and provenance records all read from the same plant data backbone.

    • Reference architecture and segmentation model

      One documented data path

      Specify how equipment, line supervision, manufacturing execution and enterprise systems connect, with the IEC 62443 segmentation model written down so every vendor on the project builds towards the same target.

    • Equipment data contracts in procurement

      What each machine must publish

      Write OPC UA (Open Platform Communications Unified Architecture) information models and MQTT topic structures into procurement requirements, making interoperability a purchase condition rather than an integration project after handover.

    • Plant-to-enterprise data backbone

      Plant data reaches enterprise

      Define the path from line-side controllers through the supervisory layer into the cloud data lake that hosts the digital twin, scheduling and provenance models, so each of those consumers reads from the same plant data rather than from a separate manual extract.

    • Interoperability is bought with the equipment instead of built after commissioning.
    • The digital twin, scheduling layer and provenance records all read from one plant data backbone.
    • The same reference architecture and procurement language is reusable as additional global sites are designed.

    We've done this before

    See how we do Digital CDMO

Where QB Systems fits

Alongside our services we build QB Systems, hardware and software for bioprocess control. QB Systems is a product brand of A4BEE Sp. z o.o.

Applications
Bioreactors

Software-defined control for a bioreactor — a new QB vessel, an upgrade to one you have, or a retrofit of the existing PLC.

Filtration (TFF)

Benchtop tangential flow filtration for concentration, diafiltration and buffer exchange.

Precise dosing

Dosing, feeding and titration with gravimetric and gas control. Runs standalone or as an add-on to a bioreactor, skid or PLC already in place.

Deployment
Hybrid connectivity

QB talks to equipment already in place over OPC-UA or Modbus, leaving the vendor's own control in charge.

Scale
Pilot (50–300 L)

Stainless steel, where QB supplies the control software and integration and a certified partner builds the installation.

Digital maturity: today and target

Scored out of 100 across six dimensions. The target is what BioMara's own published ambition implies — not a perfect score.

Source: A4BEE analysis of public sources
Manufacturing line data 10 → 75
BioMara currently operates without manufacturing execution systems of its own and runs pilot work at Macphie's Aberdeenshire facility. The first commercial plant is targeted for first operation within two to three years, so the maturity target reflects the build-out from pilot to line-instrumented commercial operation.
Research data integration 15 → 80
Clinical, sensory and process data are generated at Abertay University, at Macphie's pilot factory and at independent third-party laboratories. Each site currently captures records in its own format and the handoffs run on file transfer and paper, which is why the target places most of the movement in the integration and schema layers.
IT/OT architecture 5 → 85
BioMara has no IT/OT infrastructure of its own today. The first wholly-owned plant is a greenfield build, so the maturity target reflects a clean-sheet specification rather than a retrofit of existing equipment.
Quality and regulatory data 20 → 80
Clinical trials and health-claim substantiation are running with external partners but the underlying records are not yet consolidated into an audit-ready dossier. EFSA- and FDA-aligned dossier assembly from source records is the main movement captured by the target.
Supply chain traceability 10 → 75
Seaweed is sourced from UK ocean farms and the chain from marine farm to finished powder is currently documented by hand. The maturity target reflects batch-level provenance produced from plant sensors rather than reconstructed at shipment time.
Digital twin & simulation 5 → 70
No virtual model of the bespoke cascade exists today. Pilot runs at Macphie produce the calibration data that would feed a first version, and the maturity target reflects the build-out of a model calibrated against pilot observation.

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This is an independent analysis prepared by A4BEE from publicly available information as of March 2026. It reflects A4BEE's own interpretation and opinion, is not affiliated with, endorsed by, or verified with BioMara, and may be incomplete or inaccurate. All company names and trademarks are the property of their respective owners. To request a correction or removal, contact [email protected].