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Software
& AI/ML

Accelerate Innovations with Tailored Software and AI/ML Services.
Life sciences teams face immense pressure to innovate—but off-the-shelf tools often fall short, internal capacity is limited, and infrastructure is fragmented. At DataXight, we help bridge the gap between science and technology with custom software and AI/ML solutions built for how your teams actually work.

Whether you need to automate analysis, integrate systems, or deploy models at scale, we bring deep domain knowledge and engineering excellence to accelerate your journey from idea to impact.

Your Challenges

Accelerating Time-to-Value in R&D
Scientific innovation moves fast—but building custom tools and infrastructure internally can slow you down.
Bridging the Gap Between Science and Technology
Generic software and AI tools often fail to meet the nuanced needs of scientific teams and experimental workflows.
Limited Internal AI/ML Readiness
Many life sciences teams lack the internal infrastructure, talent, or processes to fully capitalize on AI/ML opportunities.

Our Approach

Fast Starts, Real Results
Agile, outcome-focused delivery with rapid prototyping and scalable platforms that shorten the path from idea to insight.
Built for Scientists
Domain-informed, user-centric applications and ML workflows tailored to researchers, clinicians, and decision-makers.
ML that Scales
We deliver full-stack AI/ML—from model development to deployment—built for scale, compliance, and clarity.
Our Services
We don’t just build tech — we engineer purpose-driven solutions to address your unique R&D and business problems. From automating workflows to developing AI infrastructure, our services are designed to empower your team to do their best work. We propose the following 3 services to turn that vision into reality.
Custom Applications and UI/UX
Data & Workflow Orchestration
Life Sciences ML Enablement
User-Centric Scientific Software.
We design intuitive, high-performance applications tailored to scientists, analysts, and decision-makers.
Custom front-ends and back-ends
Workflow-specific user experiences
Scalable, modular architectures
Benefit: Deliver tools your team actually uses—designed with their science in mind.
Custom Applications and UI/UX
User-Centric Scientific Software.
We design intuitive, high-performance applications tailored to scientists, analysts, and decision-makers.
Custom front-ends and back-ends
Workflow-specific user experiences
Scalable, modular architectures
Benefit: Deliver tools your team actually uses—designed with their science in mind.
Data & Workflow Orchestration
Automate and Scale Workflows.
We streamline data and analysis pipelines to accelerate discovery and reduce manual errors.
Data ingestion, transformation, and QC
Cross-system integration and scheduling
End-to-end workflow automation
Benefit: Free your team from repetitive tasks so they can focus on science, not systems.
Life Sciences ML Enablement
ML Infrastructure That Works
We build AI/ML platforms ready for life sciences—scalable, explainable, and compliant from day one.
Model training, deployment, and monitoring
Cohort cataloging and feature engineering
Reproducible, secure, and cloud-agnostic architectures
Benefit: Get from idea to insight faster—with AI tools your scientists can trust and use.
Unlock AI-powered efficiency across your R&D. Talk to our engineering experts or request access to proven AI/ML infrastructure tailored for life sciences.
Real-world Impact
Accelerating Global Biopharma R&D with Scalable, Intelligent Software. A data platform-integrated with Snowflake-and intuitive application designed to streamline multi-omics and clinical data operations—enabling faster insight generation, reduced manual burden, and scalable AI-driven discovery across therapeutic areas.
Real-world Impact
Accelerating Global Biopharma R&D with Scalable, Intelligent Software. A data platform-integrated with Snowflake-and intuitive application designed to streamline multi-omics and clinical data operations—enabling faster insight generation, reduced manual burden, and scalable AI-driven discovery across therapeutic areas.
DataXight promptly delivered the software we needed to modernize our data processing approach. Their team built cloud-native infrastructure components and custom applications with thoughtfully designed interfaces–both API and UI–that revealed data in all its complexity to our scientists and analysts. This software foundation accelerated project timelines, reduced the routine, and positioned us to scale AI-driven discovery across therapeutic areas.
Dmitrii Calzago

Dmitrii Calzago

Senior Manager, Data & Analytics, Danaher


Why DataXight

Ø Drama

We operate with full transparency, lean teams, and a relentless focus on outcomes.

Future-Proof Tech Stack

We use modern, cloud-native, and scalable tools to ensure your investment stands the test of time.

Rigorous Quality

From design to deployment, we uphold the highest standards in performance, security, and scalability.

Cross-Disciplinary Expertise

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.

Software & AI/ML
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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