About

Regenerative biorefining—engineered for scale

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About Renova BioRefinery

Renova BioRefinery is building a world-class, modular circular biorefinery platform designed for rapid replication and deployment across geographies. We convert underutilized biogenic residues into high-purity, traceable biomaterials and co-products that meet demanding performance and quality requirements across global value chains.

Our approach combines green chemistry with rigorous analytical methods and data-driven engineering. We use AI/ML-enabled in silico process design—integrating process simulation, techno-economic analysis (TEA), and life-cycle assessment (LCA)—to accelerate development, de-risk scale-up, and optimize yields, purity, and resource efficiency. These models are then validated through lab experimentation, enabling faster learning cycles and high confidence in real-world performance.

Renova’s platform is built on advanced manufacturing principles: modular process blocks, quality-by-design thinking, and digital workflows that support repeatable operations and consistent product quality. Designed to divert residual biomass from landfill and support closed-loop process integration—including capture and reuse of select process gases where feasible—our platform advances Sustainable Consumption and Production while delivering a clear pathway toward near-zero-waste operations.

Mission

Our mission is to scale regenerative biorefining into a repeatable manufacturing platform—turning overlooked biogenic residues into reliable, high-performance biomaterials while reducing environmental burden through circular design.

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What We Build

A modular, multi-feedstock platform designed to produce multiple biomaterial and co-product outputs using shared unit operations and standardized digital workflows.

  • Multi-feedstock intake and preprocessing modules
  • Extraction and fractionation routes
  • Purification and polishing (grade-dependent)
  • Solvent recovery and reuse concepts
  • Co-product stabilization and routing
  • Quality and traceability systems (digital batch record + CoA-ready outputs)

Platform Design Principles

Our platform is engineered to be replicable—process blocks, data models, and quality systems travel with the plant.

  • Route-centric process definition (recipes, parameter windows, and control points)
  • Data integrity and governance (metadata standards, SOP version control)
  • Scale-up readiness (mass/energy balances, equipment selection logic)
  • Safety and EHS by design (early hazard identification, closed-loop handling)
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AI/ML + In-Silico Engineering Stack

We use a connected modeling and data pipeline to accelerate route selection and scale-up.

  • Design of Experiments (DoE) to learn fastest from fewer runs
  • Digital twins (BioSTEAM-style) for mass/energy balance closure and equipment sizing guidance
  • Techno-economic analysis (TEA) for early go/no-go and target pricing
  • Life-cycle assessment (LCA / LCA-lite) to prioritize low-impact routes
  • Uncertainty & sensitivity analysis to identify high-leverage parameters

Quality, Traceability, and Compliance Pathway

We build for consistency and auditability from day one—so scale doesn’t compromise quality.

  • Lot-level traceability and standardized batch records
  • Defined quality attributes and CoA templates
  • Analytical workflows (fit-for-purpose methods as grade requirements tighten)
  • Roadmap toward GMP-aligned operations where relevant
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Circularity and Near-Zero-Waste Design

We prioritize closed-loop concepts and co-product utilization to reduce discharge and treatment burden.

  • Solvent recovery and reuse concepts
  • Water reuse loops and heat-integration options evaluated during process design
  • Early characterization of effluents (e.g., salts/wastewater loads)
  • Co-product stabilization for productive use
  • Landfill diversion by design

Where We Are Today

We are in startup mode today.

  • Current stage: Lab testing, route identification, and data model build-out
  • Next: Pilot validation → site replication playbook → commercial hubs
  • Future: Global implementation.
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Collaboration and Partnerships

We partner with labs, institutions, and industrial teams to validate routes, qualify materials, and scale production.

  • Process engineering and scale-up: unit operation selection, solvent recovery, filtration, drying, and safety reviews
  • Analytical and quality: method development, impurity profiling, and batch consistency systems
  • Feedstock logistics: collection, preprocessing, traceability, and stable supply agreements
  • Product validation: application testing, early LOIs, and offtake conversations
  • Regulatory pathfinding: documentation and market-entry planning by region