Routed specialized SLMs
Domain-tuned small language models, an evaluated router, and deployment inside the client’s own data and policy boundary.
The state ofthe art,within reach.
Tensorbend is an independent AI research lab developing and deploying sovereign model systems for enterprises.
Released work.
Current model artifacts make the lab’s intervention, quantization, and release engineering work inspectable.
Sovereign Intelligence.
Tensorbend researches, adapts, and operates frontier open models for organizations that need control of weights, infrastructure, data, and evaluation.
The lab works across model behavior, precision, routing, evaluation, and inference inside each organization’s hardware, policy, and data boundary.
Sovereign model systems for enterprises.
Work is delivered either as a scoped managed program or as an ongoing managed inference service. Both operate against defined infrastructure, evaluation, and governance boundaries.
Managed research and systems programs.
Scoped model research and engineering with agreed source models, target hardware, evaluation protocols, deliverables, and acceptance criteria.
PRISM open-model bias & propaganda removal
A targeted model intervention, before-and-after behavior evaluation, and capability-regression report for client-controlled deployment.
PRISM-DQ lossless quantization
A hardware-targeted mixed-precision build, protected critical tensors, and validation against the agreed source-model evaluation suite.
Sovereign open-model systems
Private model, routing, evaluation, and deployment architecture delivered on-device, on-premises, or on dedicated GPU infrastructure the enterprise controls.
Frontier PRISM-PRO inference as a service.
Managed inference across the latest sovereign PRISM-PRO weights from DeepSeek, MiniMax, StepFun, Moonshot, and Qwen, served on dedicated infrastructure with routing, evaluation, and release controls.
- DeepSeek / MiniMax / StepFun / Moonshot / Qwen
- Dedicated infrastructure / isolated data plane
- Routing / evaluation / release governance
PRISM and PRISM-DQ.
Each method documents the source model, intervention or precision policy, target hardware, evaluation protocol, and acceptance criteria.
Open-model behavior intervention
Projected Refusal Isolation via Subspace Modification isolates behavior-relevant directions across attention and MLP spaces. Evaluation scope and acceptance criteria are defined before intervention.
Read the methodSensitivity-aware lossless quantization
Tensor sensitivity determines precision allocation. Lossless is treated as a per-build acceptance criterion against an agreed evaluation suite and target runtime.
Inspect a release