STANDARDTECHNOLOGY
AI and Computing
Industry

AI and Computing

Enterprise computing systems, AI platforms, and quantum technologies.

Overview

Secure compute fabrics, governed data platforms, and advanced AI including quantum pipelines—deployed across sovereign cloud, public cloud, and on‑prem HPC.

Core Capabilities

Enterprise compute and storage

Governed data lakes and catalogs

Model lifecycle and MLOps

Privacy‑preserving ML (federated/TEEs)

Observability and cost governance

Quantum research and hybrid orchestration

Active Programs

Model serving
Data governance
Responsible AI and policy controls
MLOps and observability
Quantum research
Vector DB & RAG pipelines
Fine‑tuning and evaluation harnesses

Key Technologies

Transformers & LLMs
Vector databases
Privacy‑preserving ML
TEEs
Quantum simulators

Platforms & Solutions

MLOps pipelines

Feature stores

Evaluation harnesses

Integrations

Databricks
Snowflake
Kafka
S3/GCS/Azure

Frequently Asked Questions

Do you offer on‑prem and cloud deployments?

Yes. Deployments span public cloud, sovereign cloud, and on‑prem HPC clusters with unified controls.

How is AI safety addressed?

Guardrails, human‑in‑the‑loop approvals, lineage, and policy‑based access with audit trails.

Can you integrate with existing data lakes?

Yes. We connect to major lakehouse platforms with fine‑grained governance and catalogs.

Do you support data residency?

We provide region pinning, sovereignty controls, and isolated processing paths.

How do you manage model drift?

Continuous evaluation, shadow deployments, and alerting tied to observability SLIs.

Do you support privacy‑preserving ML?

Yes. Federated pipelines and TEEs with differential privacy options.

Resources & Downloads

Ready to Learn More?

Explore our research, ongoing projects, and detailed technical documentation.