Your Data. Your AI. Your Infrastructure.
RINC AI Local V2 is a Pakistan-developed private, local-first AI workstation and enterprise intelligence platform designed to bring AI models, documents, voice, images, developer APIs and controlled industrial integrations closer to the organization that uses them.
A complete local AI workspace for real organizational workflows.
RINC AI Local V2 is designed to bring multiple AI capabilities together inside one controlled environment rather than treating local AI as only a chat window or model launcher.
Supported workflows include local model management, conversational AI, private document intelligence, coding, research, image generation, voice interaction, presentations, Local API integration, Robotics API, security visibility and Responsible AI guidance.
Keep intelligence close. Keep control closer.
RINC is built around a simple idea: organizations should have practical options for running AI closer to their own data, infrastructure and internal applications.
Your Data
Supported local workflows can remain on the user's computer or an approved on-premises system rather than automatically sending every workload to an external AI service.
Your AI
Organizations can select compatible models according to their hardware, workload, licensing requirements and expected quality.
Your Infrastructure
Deploy locally on one machine, across an approved private LAN, through managed multi-floor routing, or across separate departmental hosts.
AI that can operate where the work and data already live.
Supported workloads can remain on the user's machine or an approved on-premises host. External network access is used only where a workflow intentionally requires it, such as hybrid web research.
This makes RINC suitable for organizations that want greater control over AI deployment, internal data flows, model selection and infrastructure.
Private AI requires more than simply running a model locally.
RINC is designed around controlled access, private network boundaries, protected API credentials, least privilege and application-level security visibility.
These principles are compatible with a zero-trust security approach: access should be explicitly authorized rather than automatically trusted simply because a device is inside a network.
RINC does not replace operating-system security, firewalls, endpoint protection, identity controls, SIEM or organizational security policy. It works as part of the organization's broader security architecture.
One platform. Multiple deployment patterns.
RINC can start on an individual workstation and expand into controlled organizational environments as infrastructure, policy and compute capacity require.
Single Device
One user runs supported AI workloads directly on the same workstation using localhost.
Private LAN
One RINC workstation can serve approved internal applications or devices over a trusted private network.
Multi-Floor
Managed enterprise routing can allow approved departments, floors or private subnets to access a central RINC host.
Multi-Host Enterprise
Separate AI hosts can support different departments, models, workloads or capacity requirements.
From user applications to industrial AI integration.
RINC is not limited to interaction through its desktop interface. Its Local API allows approved internal applications to access supported AI capabilities through localhost or controlled private LAN environments.
The Robotics API extends this architecture for customer-controlled robotics, machine-vision, inspection and sensor-assisted systems.
Built for people who need more control over AI.
Professionals & Users
Local chat, documents, research, image generation, voice interaction, presentations and work history.
Developers
Build internal applications using authenticated Local API and governed Robotics API capabilities.
Businesses
Bring private AI closer to organizational data, workflows and internal systems.
IT Teams
Manage approved hosts, private networks, hardware capacity, credentials and deployment boundaries.
Enterprise
Plan departmental, multi-floor and multi-host local AI deployment patterns.
Industry & Robotics
Connect governed AI interpretation with customer-controlled inspection, machine-vision, telemetry and automation software.
Local intelligence. Built in Pakistan. Designed for broader enterprise use.
RINC AI Local V2 represents a locally developed approach to private AI infrastructure — combining practical AI productivity, developer integration, private networking and industrial intelligence within one platform.
AI assists. People remain responsible.
AI output can be incorrect or incomplete. Important business, technical and high-impact decisions require appropriate human review.
Organizations remain responsible for approved models, authorized data, user permissions, governance procedures and how AI output is ultimately used.
Your Data. Your AI. Your Infrastructure.
Explore private local AI for individual users, organizations, developers and industry.