Enterprise Intelligence Infrastructure

An AI that remembers.

Intelligence OS is the second brain for the enterprise. It remembers every conversation, connects to every tool, and runs autonomous agents on infrastructure you control.
Book a demo See how it thinks
IK · INTELLIGENCE OS · 2026 Scroll to explore
01 / The System

Not another chat window.
Infrastructure for intelligence.

A reasoning engine wrapped around persistent memory, wired to your stack, running autonomous agents on your own machines. One codebase, two deployments, zero data egress.
01 / MEMORY
Remembers everything.

Persistent vector and semantic memory with cross-session continuity. Four layers, from raw turns to distilled patterns.

02 / CONNECT
Wired to the stack.

Gmail, Calendar, Analytics, GitHub, Meta Ads, Microsoft 365. All live, all OAuth-isolated, all queryable.

03 / LEARN
Extracts knowledge.

Every conversation is distilled into facts, decisions, and a knowledge graph. Continuously, not on demand.

04 / ACT
Autonomous agents.

Ten role-scoped agents. Dollar-capped. Trust-gated. Nothing client-facing ships without human approval.

05 / HOSTED
On your infrastructure.

VPS, private cloud, or air-gapped. Zero data leaves your network. One codebase, no degradation.

06 / AUDITED
Fully ledgered.

Every tool call, every model response, every dollar spent. Immutable action log. Compliance-grade.

02 / The Core

Most AI forgets.
This one remembers.

A four-layer memory architecture turns every conversation into durable organizational knowledge. Per-user. Per-brand. Fully isolated. Queryable months later.
L1 / EpisodicTTL: Days
Layer 01 of 04

Every turn, raw.

The conversation as it happened. Full fidelity, short-lived. Rolls up into durable layers after extraction, then evaporates from the hot store.

Retention
Days
L2 / SemanticPermanent
Layer 02 of 04

Extracted facts.

Durable statements the system has learned. Names, relationships, preferences, decisions. Vectorized. Cross-referenced. Queryable months later.

Retention
Permanent
L3 / Knowledge GraphPermanent
Layer 03 of 04

Entities and edges.

People, projects, clients, outcomes, linked by relationships. The organization's decision history as a queryable structure. Not a transcript, a map.

Retention
Permanent
L4 / DistilledPermanent
Layer 04 of 04

Learned patterns.

Style, voice, heuristics picked up from corrections and feedback. Day 100 behaves differently from day 1. By design. The system gets sharper as the team uses it.

Retention
Permanent
03 / Capabilities

Five things.
One platform.

Memory, connectors, documents, agents, and brand intelligence. Pick the one that matches the pain. The rest reinforces the story.
01 / MEMORY//01

Chat that remembers.

Every conversation, decision and preference is retained. Pick up next week where you left off. Gets smarter the more the team uses it.

ContinuityBrand voiceKnowledge graph
02 / CONNECT//02

Wired to your stack.

Reads across the tools your team already uses. Ask a question, it pulls the answer from live systems. No copy-paste. No dashboards.

GmailCalendarAnalyticsMeta AdsGitHubM365
03 / CREATE//03

Real files, not just text.

Generates downloadable, editable documents. Decks, reports, sheets, charts. Share with the client in one click. No post-processing.

PPTXPDFDOCXXLSXCharts
04 / AGENTS//04

Ten teammates that work at night.

Role-scoped agents for marketing, sales, tech, finance, and more. Dollar-capped per task. Nothing client-facing ships without human approval.

MarketingSalesTechFinance+6 more
05 / BRAND//05

A brand report, from a URL.

Paste a site. It crawls, analyses voice and positioning, finds competitors and socials, returns a full brand report. Powers onboarding.

VoicePositioningCompetitorsSocials
01 / MEMORY
01 / 05
04 / The Moat

Zero data egress.
Full audit trail. No lock-in.

The default answer for NBFCs and banks asking about AI is "the data cannot leave." Intelligence OS is designed for that constraint. Runs on your VPS. Logs every tool execution. Enforces per-agent budgets.

Built for the constraint that usually kills AI pilots: data that cannot move.

0
External egress
100%
Auditable actions
14
Days to pilot
3
LLM backends
05 / The Product

Meet Ruhi.
Your enterprise brain.

Ruhi is Intelligence OS, deployed for your team. Scoped to your brand, your tools, and your people. Runs on your infrastructure. Learns from every interaction. Compounds in value from day one.
The Product
Ruhi.
An enterprise brain that remembers, connects, and acts. One deployment per client. Fully isolated. Always improving. The same engine running behind every Intelligence OS customer.
What you get
  • 01A dedicated deployment on your VPS or private cloud.
  • 02Connectors wired to the tools your team already uses.
  • 03Brand voice training from day one, calibrated weekly.
  • 04Full audit trail and compliance-grade action log.
06 / Questions

The five we hear
every time.

Is this just a ChatGPT wrapper?
No. ChatGPT has no memory between sessions, no tool integrations, no autonomous agents, no audit trail, no self-hosting. Intelligence OS is infrastructure, not a wrapper.
What about data security?
Self-hosted. Data never leaves the client network. GDPR-compliant export and delete endpoints. Per-user, per-brand isolation at the storage layer. Immutable action log for compliance review.
Can it connect to our CRM or ERP?
The connector framework is built for extensibility. Today: Google, Microsoft, Meta, GitHub. On the roadmap: Salesforce, SAP, Shopify. New connectors ship in weeks, not quarters.
What if the AI makes a mistake?
Trust-gated execution. Critical actions require human approval. The system learns from corrections. Client-facing outputs always pass human review. Full rollback capability.
How long does setup take?
SaaS: minutes. Dedicated VPS: hours. Enterprise private cloud: days, with security review and network setup. Nobody else operates in the "hours" column.
Which model is under the hood?
Whichever one you want. Claude for reasoning, Gemini for cheap bulk, local open-source models for air-gapped. The model is a layer, not a lock-in. Routed automatically per task.
Pilot in fourteen days

Put a brain
in the building.

Two weeks. Your infrastructure. Connect email, calendar, and one data source. Then watch institutional knowledge accumulate in real time.

Book a demo Read the deck