Assemble compute for materials science.
Software infrastructure for orchestrating materials research pipelines.
The pipeline
A graph of computational work.
A Tensir pipeline is a graph whose nodes represent computations or transformations: structure ingest, density-functional theory (DFT), machine-learned interatomic potentials (MLIP), molecular dynamics, relaxation, scoring, ranking, or refinement.
Tensir provides one interface for managing these heterogeneous computations across a research pipeline. Execution can span public cloud, HPC, and on-premises infrastructure.
Product
Five responsibilities. One system.
- Pipeline
The graph of computational tasks and transformations. Nodes describe the work; connections describe how that work fits together.
- Compute
Allocation and execution of workloads across public cloud, HPC, and on-premises infrastructure.
- Budget
Cost estimation, spend control, and recorded authorization for computational work.
- Provenance
Execution context stays attached to results: source, method, parameters, licence class, operator, cost, and other context from the run.
- Tree
A hierarchical planning and reasoning layer over the pipeline. It can support bounded LLM or agent tasks: suggesting nodes, restructuring parts of a pipeline, optimizing cost, or proposing next computations.
Methods and materials
Computations and objects of work.
Scientific methods
- Density-functional theory (DFT)
- Machine-learned interatomic potentials (MLIP)
- Molecular dynamics
Workflow operations
- Structure ingest
- Relaxation
- Scoring
- Ranking
- Refinement
Material systems
- Crystals
- Surfaces
- Interfaces
- Defects
- Grain boundaries
- Coatings
- 2D materials
- Porous materials
- Amorphous materials
- Nanostructures
Material classes
- Metals and alloys
- Semiconductors
- Ceramics and glasses
- Polymers
- Carbon materials
- Composites and hybrids
Industries we serve
Energy
battery electrodes · solid electrolytes · fusion first-wall · fission cladding · photovoltaic materials · electrolyzer catalysts
Semiconductors
SiC/GaN · defects · interfaces · dielectrics · interconnects · thermal transport
Automotive
lightweight alloys · advanced steels · hydrogen-compatible metals · magnets · coatings · deformation and fracture
Aero / Space / Defense
thermal barrier coatings · high-temperature alloys · radiation damage · oxidation
Chemicals
catalyst surfaces · membranes · coatings · adsorption and diffusion
Electronics
solder/intermetallics · thermal interface materials · contact materials
Robotics
actuator magnets · structural alloys · joint wear · friction
MedTech / Biomaterials
implant alloys · saline corrosion · coating adhesion · biointerfaces
Metals & Mining
alloy design · phase stability · hydrogen in steel · refractories · corrosion
Deployment
Deployment inside customer-managed infrastructure.
Tensir can run fully inside customer-managed infrastructure using standard containerized deployment, including Kubernetes and Helm. One software interface supports computational work across cloud, HPC, on-premises, and isolated or air-gapped environments.
- Public / private cloud
- HPC
- On-premises
- Isolated / air-gapped environments
Research data path
Research data can remain within the customer environment. When bursting to cloud compute, execution and data can flow directly between the customer-side Tensir deployment and selected compute infrastructure. No transit through, proxying by, or aggregation on Tensir-controlled servers is required.
Contact
Request a Demo
Tell us about your research pipeline, computational methods, and infrastructure.