AI Product Development & Biotech Platform Engineering
Build AI-first biotech products and scientific platforms – from vision to validated production systems.
Where we support biotech teams
across the entire R&D lifecycle
Seed / Pre-Seed
-
Scientific AI proof-of-concept (PoC)
-
Rapid prototype/MVP for investor validation
-
Target discovery mini-engine
-
Lightweight scalable pipelines (ready for post-funding growth)
-
Biomarker/feature-space exploration
Series A
-
End-to-end R&D workflow automation
-
Multi-omics pipelines (scRNA-seq, bulk RNA, proteomics, metabolomics)
-
Custom ML models trained on internal datasets
-
Standardized, reproducible data processing environments
-
Scientific data infrastructure setup
-
Integration of AI tools into wet-lab & dry-lab workflows
Series B & Scaling
-
Migration to scalable scientific AI platforms
-
Unified architecture for multiple therapeutic programs
-
Enterprise-grade compliance (HIPAA/GDPR/PHI)
-
Full workflow orchestration + CI/CD for AI
-
Integration with LIMS/ELN and internal R&D systems
-
Cross-team knowledge-graph–based retrieval
Therapeutics & Drug Discovery
-
Molecular space exploration with embeddings & generative AI
-
Candidate scoring & ranking
-
Toxicity/off-target prediction
-
Lead optimization engines (ADMET, docking prioritization)
-
Custom protein/structure ML models
-
Protein–protein interaction (PPI) modeling
AI product strategy, platform engineering, and full-stack development – purpose-built for biotech R&D, multi-omics pipelines, and scientific operations.
Learn moreScientific AI Engines & ML System Design
Architecture and development of the core ML modules behind your product: structure prediction engines, multi-omics models, graph-based retrieval, LLM agents, generative models.
Secure Deployment (HIPAA/GDPR/PHI Compliant)
Enterprise-grade private deployments.
R&D Workflow Automation & Platform Logic
We engineer the backbone of biotech platforms: experiment workflows, QC/QA steps, LIMS/ELN integration, data validation layers, auditability, lineage tracking.
Full-Stack Product Development & UI/UX for Scientists
Front-end, back-end, APIs, dashboards, experiment builders, visualizations.
Product Vision, Architecture & Roadmapping
We translate scientific ideas into actionable product strategies: feature discovery → technical architecture → risk analysis → delivery sequencing.
Data Infrastructure for Biotech Products
All AI products depend on high-quality R&D data. We build: pipelines, harmonization layers, datastores optimized for scientific data types, permissioning, regulatory-ready logging.
Enterprise Deployment & Scaling
Cloud orchestration, CI/CD for scientific ML, MLOps, reliability engineering, monitoring, validation workflows, security, compliance.
Didn’t find exactly what you were looking for?
Tell us what you’re building – we’ll map out the options, evaluate feasibility, and recommend the optimal technical pathway.
Get a consultationAI-Driven Drug Discovery for Enamine’s 36B Molecule Library
The system combined machine learning–based affinity prediction, large-scale virtual screening, and docking simulations (DiffDock) with active learning loop
Check TestimonialsBiotech
Industry
USA
Location
Drug Discovery, AI compound screening, Chemical space optimization
Services
$200,000 to $999,999
Budget
The team showed initiative and proactiveness in developing alternative solutions to reach our goals. As a result, we obtained very complex and high-quality support.
Under NDA
CEO, Chemistry Solutions CompanyBusiness Impact You Can Expect
Book Strategy Call2–4×
faster product delivery from concept → productionClear architecture, structured workflows, and aligned teams reduce engineering delays.
Up to 60%
lower R&D platform development costsWe eliminate duplicated engineering, legacy rebuilds, and data rework.
>95%
Protocol & SOP AdherenceCritical for clinical, regulated, or high-throughput environments.
Enterprise-grade
reliability from day oneCI/CD for scientific ML, versioning, traceability, and compliance built-in.
Let’s build your AI advantage
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.
Book a Meeting
