Your science and systems aligned through strategic services.
We combine scientific expertise with engineered data systems to support modern life science programs — from discovery through clinical trials.
A Tailored Approach
Dovetail Biopartners combines scientific expertise with engineered data systems to support modern life science programs.
We do more than analyze datasets. We design how data is structured, processed, interpreted, and governed across your organization so that insight is durable, not episodic.
Our services span discovery through clinical trials and can operate independently or in tandem with our tools.
Scientific Analysis & Interpretation
Insight begins with sound scientific thinking.
Our data scientists and subject matter experts operate as an extension of your research and clinical teams.
This goes beyond running pipelines. We help define analytical strategy, align workflows with study design, and interpret results in biological and clinical context.
In research programs, we interrogate multiomic and experimental data to identify meaningful biological signals, refine targets, contextualize biomarkers, and surface findings that withstand scrutiny.
In clinical programs, we evaluate trial, laboratory, and translational data through a biological and regulatory lens, helping you distinguish signal from noise, assess robustness, and understand what the results mean for program advancement.
Our role is to turn complex data into structured, defensible conclusions that guide program-level decisions.
Data Systems & Infrastructure
Scientific rigor does not scale without structure.
We design and automate cloud environments that reflect how your science operates. Infrastructure is built around real workflows, not imposed templates.
We determine where data should reside, how it should be organized, how it moves through processing layers, and how teams access it.
In research settings, we architect systems that integrate multiomic and experimental datasets into coherent analytical frameworks that support target identification, biomarker discovery, and translational insight.
In clinical programs, we unify EDC data, laboratory measurements, biomarker readouts, and translational datasets into structured analytical layers that strengthen oversight and cross dataset consistency.
Infrastructure as code ensures environments are reproducible and version-controlled. Automated ingestion and validation ensure new datasets enter governed systems rather than fragmented storage locations.
The result is a durable operational backbone that supports consistent analysis and collaboration.
Cloud Optimization, Security, & Compliance
Efficiency, security, and compliance — from the start.
Scientific progress is often slowed by inefficient infrastructure and uncontrolled cloud spend.
We are cloud agnostic by design. While we frequently incorporate AWS, Azure, and GCP, we are not bound to them. Storage and compute are selected intentionally based on workload, regulatory requirements, and long-term sustainability.
By separating storage, processing, and governance from default cloud configurations, we frequently reduce data storage and processing costs by 50% or more while maintaining performance and reliability.
Security and compliance are embedded from the start. We evaluate posture, identify gaps, and implement remediation so infrastructure remains aligned with regulatory expectations as programs scale.
Infrastructure that stays efficient, secure, and compliant as your programs grow.
Data Access, Integration, & Expansion
Scientific programs rarely operate in isolation.
We integrate external datasets, harmonize multi-source data, and incorporate new information into structured repositories without introducing downstream fragmentation.
This includes evaluating data quality, aligning metadata structures, and ensuring incoming data strengthens rather than complicates the overall system.
Whether sourcing public datasets, onboarding CRO deliverables, or unifying multi-site trial data, every integration is designed to preserve analytical continuity.
Data becomes centralized, contextualized, and analytically accessible — in both discovery and clinical settings.
See how this fits your program
Whether you need analytical support, infrastructure design, or both — we can scope an engagement around where you are today.
Book a CallHow Services Connect to Our Tools
Our services build and operate the ecosystem. Our tools centralize and expose it.
Each tool is shaped by the infrastructure, workflows, and governance our services establish — so what your teams interact with reflects your science, not a generic template.
VelSight Discovery
Brings together experimental datasets, analytical workflows, and AI-powered insights into a single governed environment, configured around your modalities and translational objectives.
Learn moreVelSight Clinical
Unifies EDC, laboratory, biomarker, and translational datasets into one structured oversight layer, supporting enrollment tracking, adverse event monitoring, and cross-dataset analysis.
Learn morePerchOps
Surfaces cost, security, and compliance insights generated by our infrastructure work, giving your team ongoing visibility without re-engaging a services cycle.
Learn moreServices can stand alone. When paired with our tools, they create a cohesive environment where analysis, infrastructure, and governance reinforce one another over time.
Let's Build Something Durable
From analytical strategy to governed infrastructure — tell us where you are, and we'll show you what's possible.