Your AI-Driven CRO for Modern Biotech Teams
AI-driven contract research organization supporting modern biotech teams with data-driven studies, automation, and faster R&D outcomes
Where we support biotech teams
across the entire R&D lifecycle
Seed / Pre-Seed
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Scientific AI proof-of-concept (PoC)
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Rapid prototype/MVP for investor validation
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Target discovery mini-engine
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Lightweight scalable pipelines (ready for post-funding growth)
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Biomarker/feature-space exploration
Series A
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End-to-end R&D workflow automation
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Multi-omics pipelines (scRNA-seq, bulk RNA, proteomics, metabolomics)
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Custom ML models trained on internal datasets
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Standardized, reproducible data processing environments
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Scientific data infrastructure setup
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Integration of AI tools into wet-lab & dry-lab workflows
Series B & Scaling
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Migration to scalable scientific AI platforms
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Unified architecture for multiple therapeutic programs
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Enterprise-grade compliance (HIPAA/GDPR/PHI)
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Full workflow orchestration + CI/CD for AI
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Integration with LIMS/ELN and internal R&D systems
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Cross-team knowledge-graph–based retrieval
Therapeutics & Drug Discovery
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Molecular space exploration with embeddings & generative AI
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Candidate scoring & ranking
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Toxicity/off-target prediction
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Lead optimization engines (ADMET, docking prioritization)
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Custom protein/structure ML models
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Protein–protein interaction (PPI) modeling
As your trusted CRO, we build AI-first biotech and CRO products end-to-end – with scientific correctness, scalable engineering, and enterprise compliance
Data Infrastructure for Biotech Products
We build: pipelines, harmonization layers, datastores optimized for scientific data types, permissioning, regulatory-ready logging.
Product Vision, Architecture & Roadmapping
We translate life science ideas into actionable product strategies: feature discovery → technical architecture → risk analysis → delivery sequencing.
R&D Workflow Automation & Platform Logic
As Contract Research Organization, we engineer the backbone of biotech platforms: experiment workflows, QC/QA steps, LIMS/ELN integration, data validation layers, auditability, lineage tracking.
Scientific AI Engines & ML System Design
Architecture and development of the core ML modules behind your product build by AI-Driven CRO: structure prediction engines, multi-omics models, graph-based retrieval, LLM agents, generative models.
Full-Stack Product Development & UI/UX for Scientists
Front-end, back-end, APIs, dashboards, experiment builders, visualizations.
Enterprise Deployment & Scaling
Cloud orchestration, CI/CD for scientific ML, MLOps, reliability engineering, monitoring, validation workflows, security, compliance.
The team surpassed expectations on timelines, provided much needed guidance and overall input on design, all while operating with a high degree of autonomy.
Carl Kaub
Vice President of Chemistry at HTG Molecular DiagnosticBiotech
Industry
AI Ops & MLOps, Cloud Architecture, UI/UX Design
Services
USA
Location
$200,000 to $999,999
Budget
FAQ
Questions biotech teams ask
01What is an AI-driven CRO?
A contract research and engineering partner that builds the AI and data side of biotech R&D: scientific ML models, multi-omics pipelines, data infrastructure, workflow automation and full-stack products, with the scientific correctness and compliance that R&D needs.
02How does your support change by funding stage?
At seed: scientific proofs of concept, investor MVPs and lightweight pipelines. At Series A: end-to-end workflow automation, multi-omics pipelines and custom models on internal data. At Series B and beyond: scalable platforms, one architecture across programs, compliance, CI/CD for AI and LIMS or ELN integration.
03What drug discovery work do you support?
Molecular space exploration with embeddings and generative AI, candidate scoring and ranking, toxicity and off-target prediction, lead optimization (ADMET, docking prioritization), custom protein structure models and protein–protein interaction modeling.
04Can you take a product from idea to deployment?
Yes. We cover product vision and architecture, ML system design, full-stack development and interfaces for scientists, then cloud deployment with MLOps, monitoring, validation workflows and security.
AI-Driven CRO for Biotech
Whether you’re prototyping a molecule scoring system or looking to automate your clinical ops – we’ll help you turn your biotech data into competitive edge.
