Bio-Digital Solutions

Biotech Domain Expertise Meets Software Engineering

We translate biotech problems into software specifications, recruit engineering teams matched to your domain, manage the build with AI-accelerated development, and validate the delivered product with real scientists using real data. From discovery through deployment, the complete lifecycle, grounded in lab expertise.

We understand your science because we do your science. That's why we build software that works in the real lab, not just in the demo.

Your workflows deserve better than spreadsheets and workarounds.

Life sciences companies operate in a gap between consumer-grade tools and enterprise platforms that cost a quarter-million dollars. Your workflows are too sophisticated for Google Sheets, too specialized for Salesforce, and too small for Benchling or Veeva to care about.

So you improvise. A spreadsheet here, a shared drive there, a Python script that one person understands. It works, until an auditor asks for your batch records, or a new hire can't find last quarter's stability data, or you realize your plate reader exports non-standard CSVs that break your pipeline.

The typical solution, hiring a generic dev shop, creates a different problem. They build what you describe, not what you need. They don't know what an audit trail is for, they can't interpret your assay data model, and they deliver products that look right in the demo but fail when they meet real lab workflows.

94%

of business spreadsheets contain critical errors

$250K+

typical enterprise platform commitment

30%

of scientist time spent on data wrangling

The Pathway

Every engagement follows a disciplined process. We own the requirements, oversee the architecture, and validate that the delivered product solves the actual scientific problem.

1
Phase 12–4 weeks

Discover

We sit with your scientists, lab managers, and operations leads. We observe workflows, identify the real problem, often different from the stated one, and map data flows, pain points, and regulatory constraints.

2
Phase 22–4 weeks

Architect

Requirements become a technical specification: system architecture, database schema, UI/UX wireframes, security model, deployment strategy, and validation approach. If compliance is needed, we define it here, not after the build.

3
Phase 34–16 weeks

Build

We assemble the right engineering team: recruited specialists matched to your project’s technology and domain requirements. AI-accelerated development with iterative demos so you see progress, not just a final reveal.

4
Phase 42–4 weeks

Validate

User acceptance testing with real scientists using real data. For regulated workflows, we bring in regulatory consultants for formal validation per FDA CSA or EU Annex 11 requirements.

5
Phase 5Ongoing

Handoff

You own the application. Complete source code and documentation transfer. Admin training for your team. Ongoing maintenance transitions to our collaborative support partners under a separate agreement.

Typical project: 10–24 weeks from discovery to deployment

What We Build

We don't define a fixed scope. You bring the problem, and we bring the domain expertise, engineering, and delivery framework.

Data Management & Analytics

Unified platforms for collating data from multiple instruments, assays, and sources. Multi-omics pipelines, formulation tracking, stability study management, and R&D credit isolation, all in one system designed around how your lab actually works.

We built a formulation tracking system for a CDMO that replaced 14 spreadsheets with a single dashboard. Scientists stopped losing data between experiments.
Experiment aggregationMulti-omics pipelinesR&D credit trackingStability studies

Inventory & Operations

Sample tracking with barcode and RFID integration, reagent management, equipment calibration records, environmental monitoring, and production scheduling.

Sample trackingFreezer managementBatch records

Client Portals & Dashboards

Real-time project status dashboards for CRO/CDMO clients. Investor reporting. Multi-site collaboration platforms with IP-protected data sharing.

CRO dashboardsInvestor reportsCollaboration

Quality & Regulatory

Document control, SOP management, training records, CAPA workflows, regulatory submission assembly, and biomarker tracking systems for clinical trials. Designed to compliance requirements from Day 1, not bolted on after the fact.

Compliance isn't a feature you add later. We architect for 21 CFR Part 11 from the first database schema.
21 CFR Part 11Clinical trial trackingCAPA managementSOP control

Specialized Workflows

Animal genetics tracking for breeders. Sensor integration for animal husbandry. Multi-species field trial data capture. Antimicrobial resistance surveillance. Custom LIMS modules.

Animal geneticsSensor integrationField trials

AI-Enhanced Applications

Intelligent features beyond traditional CRUD: automated report generation, anomaly detection, predictive alerts, and data-driven decision support.

Anomaly detectionPredictive alertsAuto-reporting

Animal Health & Veterinary

An underserved market with unique data challenges. Multi-species tracking, breeding records, health monitoring, USDA-APHIS compliance, and production analytics.

Multi-speciesUSDA-APHISProduction analytics

Why NexysBio

“We don't ask ‘what features do you want?’ We ask ‘show me what happens when a batch fails QC.’”

Domain-First Specification

The quality of the requirements determines whether the final product works. We get the requirements right because we understand the science: the assay data models, the regulatory constraints, the way a lab manager actually uses a system at 7am before the first experiment starts.

50–70%

development time reduction

AI-Accelerated Development

We operate agentic AI systems that reduce development timelines for standard application patterns. This isn't a gimmick. It's a structural cost advantage we pass to you as faster delivery and lower cost. The savings go into more thorough validation and better UX, not into our margins.

The team scales to the challenge. no permanent overhead.

Right-Sized Teams

We recruit engineers matched to each project's technology and domain requirements. You get exactly the talent your project needs, assembled for your engagement, not reassigned from someone else's.

Recruited for your projectNo permanent overheadScales to the challenge
FDA CSA21 CFR Part 11EU Annex 11USDA-APHIS

Regulatory When You Need It

For regulated workflows, we bring in specialized regulatory consultants who work alongside the engineering team, not in a separate silo. When you don't need compliance, we don't over-engineer. You pay for exactly the level of rigor your application requires.

Engagement Models

Start where you are. From a focused requirements sprint to a full-service build, we meet you at your point of need.

Full-Service Build

For teams that need a production application

$25K–$200K+

We recruit the team, manage the build, and deliver a production-ready application. From discovery through deployment and handoff: the complete lifecycle.

IP: You own 100% of IP: source code, trained models, documentation. No retained rights, no reuse.

Co-Development Partnership

For shared risk and shared upside

Custom

Shared development costs with IP distribution. Ideal for novel platforms where both parties benefit from the investment. Exclusive field-of-use licensing ensures you own your competitive advantage.

IP: Shared IP with exclusive licensing in your domain. Either party can negotiate buyout of the other’s share.

Discovery & Spec Only

For teams with their own engineering

$10K–$30K

We do the deep-dive requirements and architecture. You take the deliverables (technical spec, wireframes, schema design, validation plan) to your own engineering team or a vendor of your choice.

IP: All deliverables are yours. We retain no rights to the specification or architecture produced.

Digital Advisory

For ongoing strategic guidance

$3K–$8K/mo

Retainer-based relationship for build-vs-buy decisions, vendor evaluation, integration strategy, and domain review of technical implementations. Having a scientist review your software decisions before you commit.

IP: Advisory output and recommendations are yours. No IP transfer involved.

IP for ML & Data-Driven Platforms

Machine learning platforms involve multiple layers of intellectual property. Our default framework separates these clearly, and every term is negotiable based on your engagement model and budget.

Your training dataAlways yours

We never retain, reuse, or learn from your proprietary data.

Trained model weightsAlways yours

The model trained on your data belongs to you in every engagement model.

Model architectureDepends on engagement

Full-service: yours outright. Co-dev: co-owned with exclusive field-of-use.

General ML toolingLicensed to you

Pre-existing pipelines and frameworks. You get a perpetual license for your product.

These are default structures. We tailor IP terms to your priorities. If you need full ownership of every layer, that's a pricing conversation, not a dealbreaker.

Not sure which model fits? Start with a free discovery conversation. We'll recommend the right approach, including telling you to buy off-the-shelf if that's the right answer.

Integrated Services

Bio-Digital Solutions connects to the full NexysBio platform. We build software for the workflows we actually do. That's why we get the requirements right.

Formulation tracking, batch records, and polymer inventory systems, built by the team that does formulations.

Variant tracking, screening data pipelines, and campaign management tools for antibody programs.

Multi-omics data integration dashboards and biomarker panel management systems.

Assay data management, ML model tracking, and variant library dashboards.

Have a workflow that needs better software?

Start with a free discovery conversation. We'll assess your needs, recommend the right approach, and give you an honest assessment, even if the answer is 'buy off-the-shelf.'

Or email us directly at info@nexysbio.com