Novopharos builds the software layer that lets biotech teams use modern biological AI like a product, not a research project.
We are a life sciences consulting agency and platform company embedding AI into startup and wet-lab workflows. We turn foundation models into production-grade tools that measurably accelerate R&D.
Novopharos operator layer
Model-guided biological workflowsThink of Novopharos as your on-demand computational team: product-minded enough to ship interfaces, scientific enough to structure the work around real biological decisions.
We close the gap between powerful models and usable R&D systems.
Embedded AI engineering
We scope, build, and ship production-grade internal tools for teams that need ML capability without hiring a full computational biology group upfront.
Scientific workflow software
We translate messy bench-to-analysis processes into reliable interfaces, orchestration layers, and decision-support systems your team can actually operate.
Biological model operations
We make foundation models usable in practice: parameter surfaces, run controls, scoring views, output interpretation, and handoff into downstream pipelines.
The platform is built around the work scientists already need to run.
We are developing a surface where running a biological foundation model is as simple as filling out a form, selecting a workflow, and reading an output that matches how teams make decisions.
That means less notebook glue, fewer custom scripts per project, and a cleaner handoff between bench scientists, operators, and technical leads.
The screenshots are part of the story: this is a real operating layer, not a concept deck.
Sequence configuration
Form-based setup for biological model runs.
DNA generation monitor
Execution state, logs, and output preview in one view.
Mutation analysis
Scientist-readable scoring and interpretation surfaces.
Structure prediction
Prediction outputs framed as an operational dashboard.
Workflow composer
Composable pipelines for real biological workflows.
Model library interface
Reusable workflows and components across teams.
Use cases that matter when time, headcount, and scientific clarity are tight.
Foundation models for biology, minus the friction
Give scientists a form-driven path to inference, not notebooks, GPU setup, or brittle command chains.
Wet-lab aware product design
Interfaces are structured around how experiments are planned, validated, and discussed in real biotech teams.
Consulting that turns into leverage
Engagements start hands-on and can evolve into internal platforms, reusable tooling, and durable operating systems for R&D.
We start with a real bottleneck and end with infrastructure your team can keep using.
Audit the scientific workflow
We map the current bottleneck, data shape, approval path, and failure modes before touching the interface.
Ship the first usable surface
We turn the highest-leverage analysis into a tightly scoped tool that scientists can run without manual model wrangling.
Expand into a platform layer
Successful workflows become reusable infrastructure across teams, models, and programs instead of one-off scripts.