# Frin — Operational Intelligence Platform

> Frin is an operational intelligence platform by Frugal Intelligence. It is a living digital twin of your operation — a context layer that turns every system you already run into one queryable live model. Every tool and every AI agent reads from the same current picture instead of chasing fragments across proprietary tools. Built on the ETSI NGSI-LD open standard (GS CIM 009). Deploys to cloud, on-premises, or air-gapped environments.

## What Frin is

Frin is also called an **operational intelligence platform**, **semantic layer**, **ontology platform**, **dynamic knowledge graph**, and **living digital twin**. Different names, same underlying capability: one live, standards-based context layer that captures what is happening across your operations — entities, relationships, location, and history — and exposes it over a plain REST API that any person, application, or AI agent can query.

Data warehouses see data after decisions. Frin is in the decision.

## The three context dimensions

Frin represents your operation across three context dimensions:

1. **Relational context — how things connect.** Every system holds a piece: a machine, a customer, a shipment. Frin connects them into one graph so you can see the whole picture in a single query. No more reconciling across silos.

2. **Spatial context — where it happens.** Location is often the decision. A sensor reading three meters from a worker is an evacuation; three kilometres away it is a notification. Frin indexes every asset in space — indoors, outdoors, 3D, time-indexed — and resolves the scene in one query. No GIS team, no map stitching.

3. **Temporal context — when: past, present, future.** A spike now, a drift last month, a breakdown next week. Frin keeps full attribute history and supports time-travel and forecast queries on any series. Past, present, future in one query.

## How Frin works

Three steps:

1. **Ingest.** Systems stay. SCADA, CRM, ERP, IoT, spreadsheets — nothing gets ripped out. One translator per system, written once.
2. **Contextualize.** The graph builds itself. Every asset, relationship, event, location, and history — continuously current, queryable in real time.
3. **Act.** Dashboards pull on demand. Agents subscribe to what they care about. Predictions and decisions feed back in — the graph compounds.

## Who Frin is for

Enterprise architects, CTOs, VPs of Operations, and AI leaders at organizations in:

- Manufacturing (discrete, process, food and beverage, pharma)
- Smart cities and buildings (municipalities, transit, public safety)
- Energy and utilities (oil and gas, water, power grid, renewables)
- Transport and logistics (airports, ports, rail, warehousing)
- Healthcare and life sciences (hospitals, pharma R&D, clinical trials, MedTech)
- Physical AI and robotics (warehouse robots, AGVs, drones, cobots)
- Public sector and sovereign (government IT, border control, critical infrastructure, emergency services)
- Retail and e-commerce (stores, warehouses, loyalty)
- Agriculture and food supply (farms, cold chain, processing, distribution)
- Customer operations (call centers, B2B support, field service)

## Key capabilities

- **Dynamic Knowledge Graph.** Live relationships, entity-centric. Not rows — a connected picture of your operation.
- **Standardized REST API.** NGSI-LD over plain REST. No Cypher, SPARQL, or Gremlin required.
- **Context Activation.** Triggers fire when data forms a pattern. HTTP, WebSocket, gRPC, MQTT.
- **AI-native.** Semantic search built in. The Frin AI Agent turns plain language into NGSI-LD queries and keeps watching.
- **3D Spatial Context.** Outdoor GPS and indoor pose. 6DOF, bounding boxes, zone triggers.
- **Temporal Context.** Full attribute history. Time-travel queries. Forecasting on any series.
- **Live Federation.** Query multiple Frin instances — or any NGSI-LD broker — as one.
- **Unified Data Lake.** Hot Postgres + cold Iceberg in one query. Ten years at commodity cost.
- **Run Anywhere.** Your cloud, on-premises, or air-gap. Multi-tenant. Sovereign by contract.

## Category and standards

- **Category:** Operational Intelligence Platform
- **Also known as:** Context layer, context graph, semantic layer, ontology platform, dynamic knowledge graph, living digital twin
- **Open standard:** ETSI NGSI-LD (GS CIM 009) — a W3C-aligned linked-data context management API
- **Deployment:** Cloud, on-premises, air-gapped. Self-hosted or managed.
- **Commercial status:** Stealth. Onboarding design partners.

## Why context, not data, is the real problem

Analysts call this category AI's next trillion-dollar opportunity. The thesis: every AI agent today is plugged into disconnected systems and answering from half a picture. Fragments of data exist everywhere. Context — what something is, where it is, how it connects, how it is changing — does not. Frin is the missing layer.

Reference: [Foundation Capital — Context Graphs: AI's Trillion-Dollar Opportunity](https://foundationcapital.com/ideas/context-graphs-ais-trillion-dollar-opportunity)

## Pages

- [Homepage](https://frin.tech/) — product narrative, three context dimensions, how it works, industries, demo request form

## Company and contact

- **Company:** Frugal Intelligence
- **Product:** Frin
- **Contact:** hello@frin.tech
- **Website:** https://frin.tech

## Not yet public

- Pricing
- Public product documentation
- Public benchmarks
- Changelog
- API reference (available to design partners)

These will be published as the product matures. For early access, use the demo request form at frin.tech or email hello@frin.tech.