Configurable tools for
your science

Every tool is shaped around your data structures, regulatory context, and scientific priorities so the insights you need are organized and actionable from the start.

Data Platform
VelSight

One Platform. Two Domain Suites.

Zero migration. One platform. VelSight is a research data platform built on a shared, cloud-agnostic data layer with configurable analytical workflows, AI-powered insights, and integrated cloud compute.

The Problem VelSight Solves

R&D and clinical teams typically stitch together software from multiple vendors. Each has its own login, its own data silo, its own cost. Data moves between them via exports, downloads, and copy-paste.

Cloud Console

Complex, requires cloud expertise

Notebook / IDE

Separate login, no persistence

Visualization Tool

Manual export/import

Manual Interpretation

Time-consuming, not reproducible

Clinical System

Separate platform and vendor

Project Management

Context lost at every handoff

VelSight replaces that stack with one platform.

Zero Migration

Deploy in place, no rip-and-replace

One Login

Single authentication across R&D and clinical

One Data Layer

Cloud-agnostic, no forced migration

Two Domain Suites

Discovery for R&D, Clinical for trials

R&D Analytics

VelSight Discovery

From raw data to biological insight in one place.

Designed for research and translational teams working across multiomic and experimental datasets. Discovery centralizes data access, configurable workflows, AI-grounded interpretation, and interactive visualization into one structured environment.

Discovery connects directly to R&D data buckets through the shared Data Hub and operates within the same authentication and governance layer as Clinical.

Configurable Analytical Workflows

From bulk RNA sequencing to proteomics and metabolomics. VelSight uses an adapter pattern — new analysis types are added without rewriting the platform. No code required to go from uploaded data to interpreted results.

Interactive Visualizations

Volcano plots, PCA, heatmaps, gene correlation views, and more. Explore your data interactively — filter, zoom, and export publication-ready figures.

AI-Powered Interpretation

AI insights grounded in real scientific databases — Gene Ontology, KEGG, Reactome, STRING, UniProt, GWAS Catalog, and Human Protein Atlas. Evidence first, then interpretation in context.

Cloud Workspaces

RStudio, Marimo notebooks, virtual machines, and compute containers — all connected to your data through the Data Hub. No manual downloads, no fragmented workflows.

Structured Data Management

BioProjects, Datasets, AnalysisResults, and AI Insights are tracked in a structured hierarchy. Every result traces back to its source data and workflow configuration.

Enrollment & Site Performance

Track enrollment velocity across all sites in real time. Compare site performance, identify lagging enrollment, and surface trends without waiting for a report.

Adverse Event Monitoring

Monitor adverse events by category and severity with configurable dashboards. Surface safety signals early and track them across arms and timepoints.

Demographics & Participant Status

Visualize participant demographics, track status across the trial lifecycle, and monitor lab results — all from a centralized view.

Biomarker Trend Analysis

Analyze biomarker trends across arms and timepoints. Bridge the gap between clinical outcomes and translational data without switching platforms.

Clinical AI Interpretation

AI insights grounded in regulatory and trial databases — ClinicalTrials.gov, FAERS, MedDRA, and ICH guidance. Domain-specific interpretation, not a generic language model.

Trial-Grade Access Controls

One dedicated bucket per trial with per-user access grants. Clinical roles include stricter controls aligned with trial governance and compliance requirements.

Trial Operations

VelSight Clinical

Your clinical team doesn't need a separate platform.

Same data layer. Same access controls. Purpose-built analytics. VelSight Clinical centralizes trial data access and analytical workflows without replacing your EDC or CTMS systems.

Clinical filters Data Hub connections to clinical-designated data buckets, ensuring domain separation while operating on the same platform engine as Discovery.

Powered by a Shared Platform

The VelSight Platform Engine

Both Discovery and Clinical are powered by the same engine. The difference is the domain — different data types, different analytical workflows, different knowledge sources, different compliance requirements.

Data Hub

Cloud-Agnostic Data Access

Connect once. Access from everywhere. Your data stays where it is — AWS S3, Azure Blob Storage, Google Cloud Storage, Wasabi, and more. File browsing, metadata management, and role-based access controls are built in.

  • Multi-cloud with no stored credentials
  • IAM role-based authentication
  • Clinical bucket designation for trial data isolation
  • Metadata, format detection, and search

Configurable Analytics Engine

Adapter-Based Workflows

VelSight uses an adapter pattern to support organization-specific analytical workflows. New analysis types are added by implementing adapters, not rewriting the platform. R&D and clinical analytics evolve without fragmenting infrastructure.

  • Custom workflows per organization
  • Pre-built adapters for common analysis types
  • Same engine powers both Discovery and Clinical
  • Guided step-by-step execution with reproducible results

AI Insights

Grounded in Science, Not Guesswork

Retrieval Augmented Generation across scientific and clinical databases. Auto Insights generate categorized findings, warnings, and suggestions with confidence levels and cited evidence. AI Chat answers questions in real time using your analysis context.

  • Pathway, interaction, and functional annotation from real scientific databases
  • Genomic association and protein expression evidence across human tissues
  • Clinical trial, adverse event, and regulatory guidance for clinical interpretation
  • Domain-specific AI personas per workflow

Workspaces

On-Demand Cloud Compute

Full development environments connected to your data. Mount cloud storage directly from the Data Hub — your data appears without manual downloads. Start in seconds, persistent storage, optional GPU.

  • RStudio Server with 30+ bioinformatics packages
  • Marimo notebooks with GPU support
  • Ubuntu 24.04 VMs with root access and SSH
  • Compute containers — minimal overhead, GPU-capable
Cloud Operations

PerchOps

Cloud Oversight and Optimization

PerchOps operates across AWS, Azure, and GCP environments to provide visibility into cost, security posture, and compliance alignment.

Complementary to VelSight but operates independently. When paired together, PerchOps ensures that the infrastructure supporting both R&D and clinical analytics remains efficient, secure, and sustainable as programs scale.

Cloud Cost Transparency

Visibility into spend across AWS, Azure, and GCP environments

Security Posture Monitoring

Continuous assessment of configuration risks and vulnerabilities

Compliance Gap Identification

Detect misalignment with regulatory and organizational standards

Guided Remediation Pathways

Actionable steps to resolve cost, security, and compliance issues

Services + Tools

Designed to Work Together

Our services examine your study design, data types, analytical objectives, and decision points — then build an ecosystem that reflects how your research and clinical work actually function.

Our tools give your teams structured access to what we build.

Services can be delivered independently. When paired with VelSight and PerchOps, they create a cohesive data environment where analysis, governance, and usability reinforce one another over time.

See how our services work

Let's talk about your program

Every engagement starts with understanding your science, your data, and your objectives. We'll help you figure out which tools and services fit.