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Services/Tier 04

Tier 04 · 4 services

AI / ML & Foundation Models

Biology-native AI — from sequence LLMs to production bioimage models.

Emerging1 service
Core2 services
Capability1 service
01

Genomic Foundation Models & Sequence LLMs

Emerging

Summary

Application and fine-tuning of large-scale biological sequence models for regulatory element prediction, variant effect scoring, gene expression forecasting, and functional annotation.

Active R&D — early-adopter pricing

Tools Used

Nucleotide TransformerDNABERT-2EvoHyena-DNAGenSLMsHugging FacePyTorch

Ideal Client

Genomics researchers and biotech startups exploring regulatory grammar, non-coding variant interpretation, or sequence-to-function prediction.

02

Predictive Modelling

Core

Summary

Supervised and semi-supervised ML for biomarker discovery, drug-response prediction, patient stratification, and survival analysis — with robust cross-validation and explainability reporting.

Mature, production-ready service

Tools Used

scikit-learnXGBoostLightGBMPyTorchSHAPElasticNetDESeq2limma

Ideal Client

Clinical trial teams, oncology centres, and precision medicine programmes needing interpretable predictive models on omics or clinical data.

03

Bio-image Analysis

Core

Summary

Deep-learning pipelines for fluorescence microscopy, histopathology whole-slide images, and multiplexed tissue imaging — covering cell segmentation, phenotype classification, and spatial quantification.

Mature, production-ready service

Tools Used

CellPoseStarDistQuPathImageJ/FIJIDeepCellnnU-NetMONAI

Ideal Client

Pathology departments, microscopy core facilities, and cell-biology labs needing automated, reproducible image quantification at scale.

04

Model Fine-Tuning & Deployment

Capability

Summary

Adapting pre-trained biological or general-purpose AI models to client-specific datasets, then packaging and deploying as reproducible, version-controlled inference services.

Available on project basis

Tools Used

Hugging FacePyTorchMLflowBentoMLFastAPIDockerAWS SageMaker

Ideal Client

Biotech companies wanting production-grade ML, hospital AI programmes, and research-to-clinic teams moving models out of notebooks.

Interested in AI / ML & Foundation Models?

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