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Data Services & Solutions

From Raw Data to AI- and Analysis-Ready Insight.
At DataXight, we bridge the gap between complex datasets and impactful discovery. Our Data Services & Solutions are designed to power AI/ML applications and scientific workflows–delivering clean, harmonized, and analysis-ready data for R&D, translational research, and clinical insights.

Your Challenges

Scattered, Noisy, or Incomplete Data
Valuable data is often buried in fragmented sources, riddled with inconsistencies, or missing key annotations. Whether it’s public datasets or proprietary files, the effort to clean, structure, and contextualize data slows discovery and burdens internal teams.
Science Slowed by Infrastructure Burden
Building scalable, analysis-ready infrastructure is time-consuming, resource-intensive, and often outside the core capabilities of R&D teams. The result? Delayed insights and high engineering overhead.
Trust, Compliance, and Scientific Rigor
Inconsistent data standards, missing metadata, and unclear lineage undermine scientific integrity—and expose teams to compliance risks.

Our Approach

Harmonized Data for Discovery
We deliver clean, harmonized, scientifically curated datasets—ready for AI, bioinformatics, or exploratory analysis. Our domain-aware curation eliminates noise, preserves relevance, and ensures you start with the right data.
Frictionless Data Delivery
Our cloud-native pipelines and managed services—like ProtoXight—ingest, normalize, and structure complex datasets at scale. You get quick access to analysis-ready data with lower costs, faster turnaround, and zero infrastructure headaches.
Audit-Ready Data Foundations
We embed industry-aligned governance, standardized vocabularies (e.g., MeSH, SNOMED), and version control from day one. Your data is compliant, traceable, and reproducible—ready for audit, publication, or regulatory review.
Our Services
A Connected Data Ecosystem, Built for Insight.
Explore our core services powering clean, compliant, and contextualized data—from sourcing and quality to governance and integration. We propose the following 6 services to help you build a future-ready data foundation.
Data Curation
Data Quality
Data Governance
Data Engineering
Data products
Targeted. Trusted. Tailored.
Public and proprietary data curated to your research goals.
FAIR-compliant and proprietary data sourcing
Custom curation for biomarker discovery, model development, and translational studies
Rapid fit-for-purpose cohort construction
Benefit: Launch studies with the right data in place—minimizing noise, maximizing relevance, and accelerating timelines.
Data Curation
Targeted. Trusted. Tailored.
Public and proprietary data curated to your research goals.
FAIR-compliant and proprietary data sourcing
Custom curation for biomarker discovery, model development, and translational studies
Rapid fit-for-purpose cohort construction
Benefit: Launch studies with the right data in place—minimizing noise, maximizing relevance, and accelerating timelines.
Data Quality
Reliable Data, Reliable Results.
Rigorous quality control processes are applied to ensure consistency, completeness, and reproducibility.
Multi-step data validation and cleaning
Standardization for clinical, omics, and real-world datasets
Tailored for statistical, biological, and algorithmic readiness
Benefit: Gain analysis-ready data that meets the demands of wet-lab scientists and data scientists alike.
Data Governance
Built-In Privacy. Ready for Oversight.
We apply industry-leading governance frameworks to ensure your data is compliant, de-identified, and ethically managed.
HIPAA, NIH, and GDPR compliance
De-identification and controlled access
Standardized vocabularies and ontologies (e.g., SNOMED, ICD, MeSH)
Benefit: Safeguard patient privacy, meet regulatory standards, and maintain public trust—without sacrificing scientific utility.
Data Engineering
Unified Structure for Maximum Utility.
Multimodal harmonization and schema standardization for downstream analysis and reuse.
Harmonization across multi-modal data types
Workflow integration for both exploratory analysis and production-scale AI
Format and schema customization for downstream tools
Benefit: Eliminate rework and integration delays. Empower scientists and engineers with structured data that works out of the box.
Data products
Curated Data. Built for Discovery.
We eliminate data bottlenecks with ready-to-use, harmonized datasets tailored for translational and computational research.
Comprehensive Coverage: Aggregated proteomic data across 10+ cancer types.
Custom Cohorts: Fit-for-purpose subsets aligned to your research goals.
AI/ML Ready: Structured for seamless bioinformatics and model integration.
Interactive Exploration: Web-based dashboards for visualizing and querying data.
Proven Quality: Rigorous curation and QC.
Benefit: Accelerate discovery and modeling with reliable, scalable data.
Managed Services
Managed Infrastructure. Accelerated Time-to-Insight.
Our managed service transforms raw variant data (e.g., pVCFs) into a flexible, analysis-ready data environment—no pipeline setup required.
Scalable Ingestion Engine: Robust, fault-tolerant service for ingesting massive-scale pVCF data.
Dual-Tier Storage: Cold (Parquet), Hot (BigQuery, Hail, Python-native).
Compute-Agnostic: Spark, BigQuery, Daft—use the best tool for the job.
Annotation-Ready: Integrated with dbNSFP, SnpEff, and FAVOR.
Benefit:
  • 10x Faster Time-to-Insight
  • 75% Lower Storage & Compute Costs
  • Scientific Insight, Minus the Overhead
Unlock faster biomarker insights today.
Talk to our data experts or join the waitlist to access curated proteomics data built for discovery.
Real-world Impact
Accelerating Gene Therapy Innovation Through Collaboration. We helped deliver AI-ready rAAV data to accelerate gene therapy breakthroughs.
Real-world Impact
Accelerating Gene Therapy Innovation Through Collaboration. We helped deliver AI-ready rAAV data to accelerate gene therapy breakthroughs.
DataXight helped us overcome major hurdles by delivering high-quality, harmonized datasets of rAAV constructs that were AI-ready out of the box. What once took us months now takes days—and our models are performing better than ever. This partnership has truly accelerated our ability to innovate in gene therapy.
Mark Swendsen

Mark Swendsen

Chief Revenue Officer

Form Bio

Why DataXight

DUAL-READY DATA

{Optimized for AI and R&D}
Datasets designed to support both traditional R&D and advanced AI/ML—ready for seamless reuse across workflows.

END-TO-END SUPPORT

{From sourcing to deployment}
Our team supports every stage of the data lifecycle—from data acquisition and harmonization to annotation and delivery—ensuring smooth deployment.

REGULATORY + SCIENTIFIC PRECISION

{Built-in compliance and accuracy}
We deliver data with both scientific precision and regulatory rigor—ready for internal validation, submission, or downstream use.

PROVEN RESULTS

{Accelerated discovery and development}
DataXight has helped clients shorten biomarker discovery cycles, improve model performance, and reduce time-to-therapeutic insight.

Data SERVICES &
SOLUTIONS FAQs

Have questions? Find answers.
Any more questions?
From raw data to actionable insights, we bring together software engineering, AI/ML, data science, and domain-specific knowledge to deliver solutions that span the entire lifecycle. Whether you’re capturing complex experimental data, integrating disparate systems, building predictive models, or interpreting outcomes—we have the technical depth and scientific fluency to support every step.
We have deep experience navigating global compliance frameworks. From the start, we design systems with auditability, traceability, and data security in mind. We work closely with your QA, privacy, and governance teams to ensure full alignment with regulatory standards.
Not at all. We offer four engagement models: Staff augmentation, dedicated team, outsourcing, and managed services. We can plug into your team as needed—whether that means working alongside your teams or providing a self-sustaining full-stack support across software, data engineering, ML, and science. We’re experienced working with clients with varying levels of technical and scientific resources.
Absolutely. Our solutions are built on standardized, version-controlled software with rigorous documentation to ensure full reproducibility. We also prioritize explainability through transparent design and interpretable outputs—so stakeholders can trust and understand every decision.
Yes. Our architecture and engineering approach is fully platform-agnostic. Whether you're operating on AWS, Azure, GCP, DNAnexus, an on-prem environment, or a hybrid setup, we design solutions that are portable, and scalable—without locking you into any single vendor.

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