Tailored Contract Research Organization
Where empirical evidence
meets predictive computation.
Somnova Research generates high-fidelity in vitro data and uses it to calibrate predictive computational models — turning theoretical abstractions into quantitative predictions for the next generation of sleep and neuro-therapeutics.
- In vitro
- characterization & imaging
- Predictive
- computational modeling
- Phoenix, AZ
- tailored & agile
Capabilities
A full loop from bench to model
We pair rigorous wet-lab characterization with quantitative modeling, so every measurement makes the next prediction sharper.
In Vitro Characterization
Physicochemical profiling of developmental compounds — solubility, stability, and solution behavior — measured under controlled, reproducible conditions.
Learn moreQuantitative Imaging
High-fidelity imaging and image analysis to capture and quantify physical properties and behaviors that conventional assays miss.
Learn morePredictive Modeling
Calibration of proprietary QSPR and machine-learning models against empirical baselines to deliver quantitative, decision-grade predictions.
Learn moreData Cataloging
Structured, versioned datasets and a lightweight LIMS that make empirical results traceable, auditable, and ready to feed model calibration.
Learn moreOur approach
The calibration loop
A disciplined cycle that compounds in value — empirical data calibrates the model, and the model focuses the next experiment.
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01
Measure
Collect baseline empirical data on a target compound's foundational physical properties and solution behaviors in vitro.
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02
Calibrate
Fit and validate predictive models against the empirical baseline, quantifying uncertainty at every step.
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03
Predict
Advance the models from theoretical abstractions to high-fidelity quantitative predictions that guide development.
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04
Refine
Feed predictions back into experimental design — each iteration tightens the model and de-risks the next decision.
Therapeutic focus
Sleep & neuro-therapeutics
Our core program centers on the biology of wakefulness and sleep — including orexin (OX2R) receptor pharmacology — an area where small, well-characterized physical differences can translate into meaningful clinical outcomes.
By grounding computational models in carefully measured empirical data, we help compress the distance between a promising molecule and a confident development decision.
- Compound physicochemical baselines
- Solution-behavior characterization
- Model calibration & validation
Working with us
From first conversation to delivered dataset
Engagements are scoped tightly, priced clearly, and documented end-to-end — built for teams that need dependable data without big-CRO overhead.
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1
Scope & confidentiality
A short conversation to understand your compound, your questions, and your timeline. We're glad to execute an NDA before any technical detail changes hands.
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2
Proposal & protocol
You receive a fixed-scope proposal: the measurements to be made, the conditions and replication plan, the deliverables, and the price. No open-ended billing.
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3
Execution with visibility
Work proceeds under documented, version-controlled protocols with interim updates at agreed checkpoints — you always know where your study stands.
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4
Delivery & debrief
You receive structured datasets, complete protocols, uncertainty estimates, and a written summary — plus a debrief call to walk through findings and sensible next steps.
FAQ
Questions, answered plainly
Who owns the data and results?
You do. Datasets, protocols, analyses, and reports produced under an engagement are delivered to you and belong to you. We retain nothing beyond what record-keeping obligations require.
How do you handle confidentiality?
NDAs are welcome before any technical discussion. Study materials and results are shared only with your named contacts, and structures or identities can be coded throughout the workflow if you prefer.
What kinds of work do you take on?
In vitro physicochemical characterization, quantitative imaging, predictive model calibration, and research data infrastructure. We do not perform chemical synthesis, animal studies, or clinical work — and we'll say so plainly if your project needs a different partner.
How are projects priced?
Fixed-scope, quoted up front after the scoping conversation. Larger programs can be broken into staged milestones so you can evaluate results before committing further.
What does a typical engagement look like in practice?
Most studies are measured in weeks, not quarters: a scoping call, a written protocol, an execution window with checkpoints, and delivery of the dataset with a debrief. Tightly scoped baseline studies are our specialty.
Where are you located, and do you work remotely?
We're based in Phoenix, Arizona, with wet-lab work performed at our Phoenix-area laboratory space. Modeling and data engagements are fully remote-friendly, and most client communication happens over email and scheduled calls.
About
Tailored research, rigorously done
Somnova Research LLC is a tailored contract research organization based in Phoenix, Arizona. We were founded on a simple conviction: that predictive models are only as good as the empirical evidence beneath them.
We operate at the intersection of the wet lab and the computer — small enough to move quickly, rigorous enough to be trusted with foundational data. Our work emphasizes reproducibility, careful uncertainty quantification, and datasets built to last.
Reproducible by design
Fixed conditions, documented protocols, deliberate replication. The same experiment yields the same answer — and every number traces back to how it was made.
Uncertainty, quantified
Every measurement ships with explicit uncertainty estimates, because a prediction without error bars is an opinion wearing a lab coat.
Confidential by default
Your compounds, structures, and results stay yours. NDAs welcomed, identities coded on request, data shared only with the people you name.
Let's talk about your data.
Whether you need foundational characterization, model calibration, or both — we'd like to hear what you're working on.