On-premise AI Solutions | IIJ Global Solutions Indonesia

Exa Insight helps enterprise teams adopt generative AI with secure conversational workflows, grounded knowledge retrieval, and governed API connectivity for intelligent agents.
Start with a full on-premise AI stack — conversational chat, retrieval that stays on your infrastructure, and admin controls that respect how you classify data. When you are ready to go further, Exa Insight MCP opens the same stack to tools, private web search patterns, enterprise APIs, SSO, and least-privilege administration — so sensitive workloads are not routed through generic public AI services by default

Exa Insight Overview

Exa Insight is a practical enterprise AI stack: local LLM and RAG processing, a responsive web chat experience, modular expansion through MCP, and a clear path from installation and data preparation to controlled connections with the rest of your environment.

Organizations can start with chat and curated RAG for accountable answers from official sources, then widen scope with MCP servers for APIs, proxies, and future capabilities — always with source governance, access control, and staged rollout in mind.

Primary Audience	Enterprise users, IT and security teams, operations, and platform owners accountable for data residency.
Core Products	Chat (web UX + admin), RAG (ingestion, indexing, retrieval), and MCP (tools, integrations, standardized LLM access).
Main Value	On-premise control, reduced hallucination risk via curated RAG, audit-friendly tool boundaries, optional OpenAI-compatible local inference.
Adoption Model	Start with a focused pilot, then expand domains, integrations, and admin reach while keeping least privilege in place.

Platform at a glance

Exa Insight is modular by design: each layer has a clear job, and together they deliver an on-premise AI experience that respects your security and data residency choices. Below is a quick tour of how Chat, RAG, and MCP fit together — your exact topology always follows your standards and controls.

Grounded answers, on your metal	Exa Insight RAG — embeddings, indexing, and retrieval for applications inside your perimeter; supports trustworthy answers from approved sources and scoped knowledge domains so teams only see what they should.
The experience users actually open	Exa Insight Chat — a browser-based conversational experience wired to RAG through MCP- and API-friendly patterns, with admin workflows for configuration and access models that support MFA and clear role boundaries when you deploy them that way.
Tools and integrations, without sprawl	Exa Insight MCP — a consistent surface for tools and context: optional web search through controlled proxy patterns, connectors to internal systems, logs or line-of-business data where appropriate, all behind explicit permissions.
Administration built for zero trust	Separate paths for chat and knowledge administration, least privilege by default, and room to align with how your organization verifies operators — including how remote admin reaches the stack inside your network design..
From first install to steady operation	An assess → build → operate rhythm: curate sources, run local data pipelines, configure chat and security components, and stand up high-performance local inference where you want OpenAI-compatible APIs and streaming responses.
Grow into your ecosystem	Private web search, system APIs, SSO, rate limiting, and audit-friendly integration patterns extend the same core — so you deepen capability without defaulting to third-party AI clouds for sensitive payloads.

Exa Insight Product Suites

Starter Pack

Exa Insight Starter Pack

Chat RAG

A ready-to-deploy on-premise AI stack — conversational chat and grounded knowledge retrieval on your infrastructure, with admin controls that respect how you classify data.

Responsive chat UI without a thick client install

Admin-oriented configuration for users, policies, and knowledge hooks

Supports multi-factor sign-in for chat and admin access

Local RAG pipeline: ingestion, chunking, embedding, and indexing stay in-network

Per-domain knowledge boundaries to limit cross-unit leakage

Source-aware context for explainable, accountable answers

Add-on

Exa Insight MCP

MCP servers as the controlled bridge between LLMs and the outside world: internal APIs, optional web search via a private proxy pattern, SSO-facing integrations, and future log or line-of-business data sources — without treating the public internet as a trusted data plane.

Standardized tool surface for APIs, search proxy, and audit-friendly hooks

Explicit tool permissions and least-privilege exposure per connector

Token-aware, rate-limit-friendly patterns for external system calls

Room to grow from pilot automation to broader agent programs under governance

From pilot to production

Exa Insight can land as a focused pilot or as a broader program. Scope follows your data readiness, sensitivity classification, how far you want integrations on day one, and how tightly admin access should mirror zero trust and least-privilege practice.

MINIMUM HARDWARE FOR LOCAL AI MODELS

Pilot

NVIDIA DGX Spark (minimum)

Production

NVIDIA RTX 6000 Blackwell (minimum)

Assess

Curate official sources, classify sensitivity, define domains and roles, set measurable outcomes, and size inference hardware to pilot or production baselines.

Build

Install and configure RAG pipelines, Chat, local inference on approved GPUs, security components, and MCP tools for approved workflows.

Operate

Monitor quality and usage, tune retrieval, extend MCP integrations, and keep audit and access policies current.

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On-premises AI Solutions Exa Insight

Exa Insight Overview

Platform at a glance

Exa Insight Product Suites

From pilot to production

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