Local & On-Device AI Models

Intelligence that
never leaves the ground.

MINDPLEX AI builds specialized speech-to-text, text-to-speech, and small language models that run entirely on-device or on local servers — so confidential data is never transferred to the cloud.

DeploymentOn-device / local server, zero cloud dependence

Model classSTT · TTS · SLM

OriginKTH Royal Institute of Technology

// Diagnosis

Commercial, cloud-first AI was never built to run where it's actually needed.

THREE STRUCTURAL BOTTLENECKS OBSERVED ACROSS DEFENSE & SPECIALIZED DEPLOYMENTS

BOTTLENECK 01

Lack of specialization

General-purpose AI is not trained for military tasks or the dual-use, domain-specific challenges and benchmarks that define specialized operations — dialect handling is one symptom of a broader gap.

BOTTLENECK 02

Cloud dependence

Core operations can't rely on external cloud architecture or off-site infrastructure — every request sent off-site is confidential data leaving the perimeter it was meant to stay inside.

BOTTLENECK 03

High infrastructure costs

Running massive general models at scale creates unsustainable bills. A leaner, specialized model hosted locally keeps the economics sound.

// Architecture

One local AI layer, built to run anywhere the cloud can't reach.

THE MINDPLEX AI LAYER RUNS LOCALLY, PRIVATELY, AND PRECISELY

MPX-01

The MINDPLEX AI Layer

Localized speech-to-text (STT), text-to-speech (TTS), and small language models (SLM), purpose-built rather than adapted from general-purpose systems.

MPX-02

Privacy & deployment

Runs specialized on-device, or hosted on local servers — so confidential data is processed and stays where it originates, and is never transferred to the cloud.

MPX-03

Civilian delivery

For civilian use, the software is either hosted on our servers and reached through an API, or licensed to run directly on a client's own devices.

MPX-04

Capability

Purpose-built to run precisely on constrained, offline, or connectivity-denied hardware — and to hold up under real-world conditions, from background noise to specific dialects, where commercial models break down.

// Development Partnership

Developing alongside the Swedish Armed Forces.

Collaborating Partner

Swedish Armed Forces

MINDPLEX AI is developing its models in partnership with the Swedish Armed Forces.

// Deployment Contexts

Dual-use by design.

THE SAME LOCAL, ON-DEVICE MODEL LAYER, RECONFIGURED FOR THREE MISSIONS

Defense

Tactical communication and special forces training running fully on-device, with no dependence on outside infrastructure — including specific language dialects general models miss.

Tactical / Field

Aviation

On-site AI for airport customer support, running locally to assist travelers — including those who speak specific dialects and need help navigating the terminal.

Terminal / Transit

Healthcare

Medical dictation that runs on local clinical devices for patient privacy, and accurately handles specific dialects commercial AI models misread.

Clinical / Dictation

// Origin

Founded and engineered from the ground up.

Ahmed Al Hasoon

Founder & Engineer

Information Technology Engineering student at KTH Royal Institute of Technology. Founded MINDPLEX AI at KTH Innovation and re-launched it in 2025 at Demo Day.

Founded at KTHSupported by KTH Innovation
2025

Intelligence thatnever leaves the ground.