The AiSE Private AI product suite.

01

AiSE InfraFoundation

Sizing & Hardware RFP Accelerator

Decide what to buy, prove it works, and sign it off before platform work starts.

• AI-assisted workload discovery and intake engine for enterprise teams.
• Deterministic GPU capacity calculator covering VRAM, concurrency, context length, KV cache, and power/BTU footprint.
• Automated BOM generation, vendor-neutral RFP spec kits, and datacenter readiness scorecards.
• Automated Hardware Validation Suite: burn-in testing via DCGM, NCCL interconnect bandwidth, NVMe IOPS, thermal soak, and signed customer acceptance reports.

02

AiSE PlatformFabric

Hardware–Software & GPU Layer

A hardened, air-gapped GPU platform that runs entirely inside your boundary.

• Air-gapped orchestration stack with hardened OS, drivers, CUDA, and NVIDIA GPU Operator automation.
• Multi-tenant Kubernetes GPU scheduling, dynamic MIG partitioning, and time-slicing quotas.
• Air-gap package mirror and offline enterprise container registry (Harbor) for models and dependencies.
• Observability pack with DCGM metrics, Prometheus tracking, latency monitoring, and department-level GPU cost allocation.

03

AiSE ContextFoundation

Hybrid GraphRAG & Dependency Engine

Turn documents, code and systems into grounded, permission-aware knowledge.

ContextParse

Layout-aware document extraction, OCR, and table parsing across PDFs, Office files, and repositories.

ContextMesh

High-throughput dense vector embedding and semantic search powered locally by Qdrant.

ContextGraph

Dual-engine Knowledge Graph and Dependency Graph on Neo4j for cross-system impact analysis, policy mapping, and entity linking.

ContextRoute & HITL

Hybrid vector/Cypher retrieval engine paired with Human-in-the-Loop review queues for verified document relationships.

• Automated PII/sensitivity detection and data masking.

04

AiSE TuneFactory

Model Selection & Private Adaptation

Choose the right model, adapt it privately, and never ship a regression.

• Domain-specific evaluation harness with regression gates and benchmark scorecards.
• Decision framework comparing pure RAG against private fine-tuning.
• Air-gapped QLoRA/PEFT pipeline, dataset preparation factory, versioned adapter registry, and rollback mechanisms.
• Commercial license compliance validation for open-weight models.

05

AiSE PrivateGateway

Enterprise Endpoint & Policy Router

One private, OpenAI-compatible endpoint for the whole organization, with policy-based routing.

• Unified OpenAI-compatible private API proxy supporting local runtimes (vLLM).
• Zero-data-leakage Model Policy Router: routes sensitive requests to internal private weights and directs generic, sanitized queries to frontier models under strict audit logging.
• Enterprise identity layer with SAML/OIDC (Keycloak/AD) sync, token rate limiting, and RBAC.
• Ready-to-deploy branded web chat interface, team chargeback dashboards, and developer SDKs.