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Antibody data packages for your AI models

Choose Specifica for a proven antibody discovery platform to provide diverse, next-generation sequencing (NGS) data to power your AI engines. Using our proprietary naïve and semi-synthetic formats, we can generate data packages to train your AI and ML models.

Specifica delivers:

  • Ready-to-use, off-the-shelf NGS datasets;
  • Data packages produced against your specific target(s), to your requirements;
  • Customized libraries built from your design into our phage or yeast display formats, including selection campaigns against target(s) of your choosing.

Flexible formats and timelines:

  • Data packages derived from scFv, Fab or VHH formats
  • Naïve or semi-synthetic formats
  • Fully diverse or fixed light chain formats
  • Timelines ranging from weeks to a few months

 

 

Train your AI model

Test your AI model

  In-stock data package Target-specific data package Model testing data package
Deliverable Select data provided from one of our in-house discovery campaigns
  • Select data provided from a discovery campaign against your target of interest
  • Semi-synthetic format

A library custom-built to your specifications

  • Up to 6 selections included
  • Additional selections as needed

Specifica’s team can collaborate or provide guidance as needed.

Suitable for Early data submissions to AI and ML models Training of AI and ML models Building a custom library designed from your AI or ML outputs.
Availability

Coming soon

 

Note: Sample datasets (IFN and IL-2) available to illustrate data structure and diversity 

Available now Available now
Timeline for delivery Immediate delivery (once available) 1-4 months (phage to yeast) based on complexity 1-4 months, depending on complexity
All data packages include

Raw FASTQ files and annotated files with labels:

  • Sort concentration
  • Positive / negative binding
  • NGS abundance & enrichment
  • Others (competitor / non-competitor / ligand)

 

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What are the advantages of Specifica's NGS datasets?

  • Customized to your needs: Apply Specifica’s discovery pipeline to your AI data needs with all aspects of antibody selection, and data, tailored to your specifications;
    Significantly increase the size of your training datasets: Expand beyond public datasets with their minimal specific VH/VL paired reads;
  • AI-ready scale: The large data provided in each package is ideal for your foundation model training, in silico antibody engineering, and sequence-function mapping;
  • Custom labeling & sorting: Binary labels (bind/no bind, competitive/non-competitive) and multi-category labels (affinity tiers, stringency levels, concentration gradients) for your precise AI fine-tuning and transfer learning;
  • Massive diversity: Train your protein language models (PLMs) or other AI models on tens of thousands to millions of non-redundant antibody sequences from our drug-like Gen3 libraries, already optimized for therapeutic developability, affinity and stability;
  • Optimized for multi-objective tasks: Specifica’s NGS antibody datasets are rich, discovery-driven, and positioned along the Pareto frontier, giving your AI teams a head start with optimal, developable drug-like antibodies — not suboptimal starting points;
  • Active learning integration: Large well-labeled datasets and our model testing data package enable improvement of your AI models — design, test, retrain — accelerating hit-to-lead cycles;
  • Developability profiling: Build models with data already enriched for highly developable, drug-like properties, ensuring better structure-guided design decisions.

How does Specifica's expertise in antibody discovery impact the quality of their delivered datasets?

  • Extensive antibody discovery campaign success: We understand therapeutic antibodies, having carried out 100+ antibody discovery campaigns, each producing dozens to hundreds of unique antibody clusters binding distinct epitopes, some now in clinical trials;
  • Proven antibody library technology: >200 individual naïve sub-libraries built using different scaffolds, formats, gene sources and diversity;
  • NGS leadership: Recognized expertise with high-profile publications and deep experience in deep sequencing antibody discovery analytics;
  • We understand AI: We know what’s important, including NGS enrichment statistics, diversity clustering, population frequencies, and annotations for label-rich datasets that support machine learning pipelines;
  • Our libraries are highly diverse, and very functional, allowing us to provide scale and relevance: Tens to hundreds of thousands of condition-labeled antibody sequences from our high-throughput in vitro display platform purpose-built for AI/ML integration.
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Whether you need to train, validate or test your model,
Specifica delivers high-quality, curated datasets at each phase.

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