Built so the result still holds up a year later.

Helix builds the computational and AI systems that turn life sciences research into reproducible results, running target discovery, protein design, and scientific software as one connected loop with full provenance.

Why research teams work with us

Discovery, design, and software run as one connected loop.

Most firms sell these as three separate purchases. We run them together, which is why a result is auditable a year later instead of trapped in someone's notebook.

01
Discovery, design & software as one loop

Run together, so the handoffs between them do not lose information.

02
Full provenance and audit-ready outputs

Every result traces back to the data and the method that produced it.

03
Domain-embedded, not a generic data vendor

Our life sciences work is led from inside the research, not beside it.

04
Fixed scope or embedded partnership

A defined project with a clean finish line, or an ongoing embedded team.

05
Complimentary discovery conversation

Thirty minutes before any paid work, to see whether we can actually help.

06
Proven in complex, regulated operations

The same data engineering engine behind our energy work.

“Real systems, built for real research, deployed inside your program.”

Core capabilities

From the data underneath the lab to the systems your scientists use daily.

Engagements are scoped around what your program actually needs. Most draw on one or two of these areas rather than all of them.

Data foundation for the lab

  • Historian & time-series infrastructure for bioprocess & lab systems
  • LIMS, instrumentation & sensor data integration
  • Anomaly detection for experimental & manufacturing data
  • GxP-aligned governance & audit evidence

Discovery & target identification

  • Single-cell & spatial transcriptomics
  • Multi-omic data integration
  • Differential expression & pathway analysis
  • Target identification & ranking frameworks
  • Biomarker discovery & prioritization

Protein design & engineering

  • Computational protein design & engineering
  • AI-guided sequence & structure generation
  • Binder & interaction-partner design
  • Structure prediction & developability assessment
  • In silico candidate screening
  • Design-build-test strategy development

Scientific AI & software

  • Scientific & biomedical AI assistants & retrieval-augmented generation
  • Scientific knowledge bases & evidence graphs
  • Research workflow automation
  • Human-in-the-loop review systems
  • Provenance, traceability & audit-ready outputs

Strategy & study design

  • R&D strategy & hypothesis prioritization
  • Experimental design & in vivo/in vitro study planning
  • Wet-lab validation of computational findings
  • Scientific literature review & evidence synthesis

Core domain expertise

  • Computational biology & cardiovascular disease research (OUHSC)
  • AI-enabled protein design & structural biology
  • Vascular & mitochondrial biology
  • Aging & chronic disease
  • Translational & preclinical research
The next step

Start with a conversation.

Thirty minutes, no cost and no obligation. Tell us the question you are trying to answer and we will tell you honestly whether we can help.