Local LLM Platform
A fully managed on-site large language model appliance that bundles hardened hardware, packaged software, and private chat experiences without ever leaving your network perimeter.
Deploy a ChatGPT-style assistant where sensitive prompts, embeddings, and analytics stay inside your data center. We combine enterprise GPUs, a secured orchestration stack, and packaged chat applications that speak to your identity, knowledge, and ticketing systems over private links.
Safeguards
- ●Privileged prompts never leave the LAN; no cloud callbacks by default.
- ●AES-256 encrypted vector store with offline snapshot and restore workflows.
- ●Granular audit logging streamed to your SIEM via syslog or HTTPS.
- ●Policy-driven data retention windows per business unit.
- ●GPU health, thermals, and inference latency surfaced on a live dashboard.
Hardware Blueprint
Dedicated appliance delivered, racked, and monitored.
Software Stack
Modular services that keep models fresh and compliant.
Edge Orchestrator
Manages model weights, patch management, telemetry redaction, and blue/green rollouts for future upgrades without downtime.
Local Gateway
Provides authenticated HTTPS ingress with SSO, SCIM user sync, and per-tenant rate controls to keep conversations isolated.
EdgeChat UI
Responsive chat interface that mirrors modern LLM UX patterns, supports citations, and honors data retention policies.
Connectors
Secure data-plane adapters keep everything inside private routes.
- ▸SharePoint, Confluence, Google Workspace document sync (read-only).
- ▸PostgreSQL, Snowflake, and data lake adapters through the secure gateway.
- ▸ServiceNow, Jira, and Slack extensions for in-context chat actions.
- ▸Custom REST hooks for proprietary data sources with schema validation.
Rollout Program
Four-week engagement to deliver a production-ready appliance.
Discovery & Capacity Modeling
Sizing workshop, throughput modeling, and data boundary confirmation.
Hardware Delivery & Hardening
Appliance racked, baseline hardened, and monitoring hooks validated.
Software Packaging
Local connectors, prompt policy, and automatic updates configured.
Acceptance & Runbooks
Load testing, access reviews, and 24x7 support handoff.
Local Chat Experience
EdgeChat mirrors modern assistant workflows while honoring your governance policies.
Security Analyst
Summarize today's access review findings for the IAM steering deck.
Local LLM
Generated summary with quantified risk deltas, policy references, and reviewer attributions. Draft uploaded to /reports/IAM/2024-Access-Review.md.
Security Analyst
Stage a remediation checklist and assign to the governance queue.
Local LLM
Checklist created in ServiceNow with five prioritized tasks and linked evidence.
The packaged UI runs natively on the appliance, supports dark and light layouts, and exposes admin toggles for context windows, token ceilings, and redaction policies. Because everything is local, latency stays under 400 ms even during peak traffic windows.
Observability hooks publish usage, saturation, and anomaly alerts to your existing monitoring stack, enabling proactive capacity planning. Bring your own models or use ours; the orchestrator handles sharding, A/B testing, and emergency rollbacks without external dependencies.
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