Validated Computational Workflows for Biotech R&D
From fragmented scripts to computational evidence. We build reproducible discovery operations and structured evidence packs for teams making high-stakes early-stage R&D decisions.
Scientific Rigor,
Decision-Grade Outputs
The bottleneck in computational biology is no longer access to models. It is reproducibility, traceability, and trustworthy delivery. We narrow your experimental search space using structured, repeatable logic.
Reproducible Operations.
We turn fragmented notebooks into containerized, version-controlled workflows. No more "it works on my machine" bottlenecks.
Traceability & Provenance.
Structured metadata capture and technical controls designed to support regulation-aware environments and client-specific validation workflows.
Decision-Ready Deliverables.
You receive ranked CSV/SDF lists, reproducibility parameter summaries, and structured decision memos for clear wet-lab handoff.
Robust Validation
We prioritize quantifying uncertainty. Where target data permits, we include standard benchmarking and validation metrics.
Limiting False Positives
We implement multi-step triage queues and input validation to explicitly frame uncertainty. We focus on rigorous structural screening to carefully inform downstream experimental validation.
Decoy Benchmarking
Where appropriate, screening runs include context-specific actives and decoy scaffolding to frame validated intervals and contextualize Enrichment Factors.
Local-to-Cloud Validation
We design and validate scientific workflows locally (Apple Silicon) before scaling selectively to cloud environments when workloads require it, ensuring logical correctness and cost-efficiency.
Our Solutions
Focused Solutions for Computational R&D
Three focused solution paths for reproducible computational R&D.
Discovery Ops Foundation
For bioinformatics teams, platform groups, and growing biotech programs. We migrate fragmented scripts and notebooks into containerized, reproducible, and scalable workflow operations.
Hit Triage & Confidence Pack
For discovery teams. Multi-criteria early-stage screening to deliver structured decision-grade evidence packs before wet-lab spend.
Enzyme Variant Scouting
For industrial biology teams. Structured computational sequence mining to establish a focused starting set for experimental follow-up and directed evolution planning.
Computational R&D Deployment Options
Agile computational deployment on AWS HealthOmics, Google Cloud Batch, or European cloud providers for data-residency-conscious workloads.
- EU Sovereign Clouds: Essential for GDPR and French HDS residency requirements (OVHcloud, Exoscale).
- Managed AWS HealthOmics: For scalable execution of complex pipelines without expanding capital expenditure.
- Architecture scoped to support regulation-aware R&D frameworks.
We verify structured workflow containers for localized execution or deployment into secure computational VPCs.
- Maintain control over proprietary targets and workflow execution
- Structured handoff to internal scientific data lakes
- Version-controlled logic embedded behind your firewall
Engagement Models
Pilot Sprint
A fixed-scope engagement for initial workflow scoping, feasibility review, and first-pass delivery.
Fixed-Fee Pilot
- Defined deliverable set
- Initial feasibility and fit assessment
- Standard methodology summary
- Review call with the project team
Delivery Project
A deeper engagement for reproducible workflow delivery, structured analysis, and decision-grade documentation.
Scoped Contract
- Complete reproducible workflow delivery
- Multi-step scientific triage or workflow hardening
- Explicit uncertainty and limitations disclosure
- Decision memo and experimental handoff support
Embedded / Managed
Ongoing support for workflow operationalization, platform hardening, and managed computational delivery.
Custom Monthly
- Dedicated computational support
- Private VPC or EU-resident deployment options
- Continuous workflow versioning and maintenance
- Scoped governance and documentation support