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Services

Implementation led by practitioners who understand enterprise constraints

Vault Systems engagements pair platform engineering with security-aware delivery. You receive a working system, documented controls, and a path to sustain it internally.

Private AI deployment

We lead the end-to-end installation of Vault Systems in your chosen region or data center: cluster sizing, secrets management, observability hooks, and handover documentation tailored to your change process.

Infrastructure setup

Network segmentation, ingress controls, and backup strategy are configured to match enterprise reference models. We coordinate with your cloud or infrastructure team so the footprint is supportable on day two.

Internal data integration

Connectors and ingestion jobs are implemented for the systems that matter—document stores, ticketing, wikis, and line-of-business APIs—with schema mapping and quality checks before anything is indexed.

Secure model hosting

Model artifacts are staged privately, checksum-verified, and served with autoscaling policies suited to your hardware profile. Optional fine-tuning and evaluation tracks are scoped under strict data handling rules.

Access control & governance setup

RBAC models, group mappings, and data-zone rules are implemented alongside your IAM team. We validate least-privilege paths and produce evidence templates your auditors can follow.

Enterprise AI consulting

Workshops for executives and practitioners cover use-case selection, risk classification, and operating cadence. The goal is adoption that survives legal review—not a pilot that stalls in compliance.

Ongoing support & optimization

After go-live, we provide named engineering coverage, capacity reviews, and model refresh planning. Incidents route through your existing channels with clear ownership on both sides.

Scope a services engagement

Share timelines, stakeholders, and technical constraints—we will propose a phased plan with explicit deliverables.