MAVENS

MAVENS / PRE-RELEASE

MAVENS

See the world. Understand the connections.

MAVENS is a civilian intelligence and coordination platform being built to bring maps, research, cameras, sensors and autonomous systems into a shared understanding of the world.

Explore the System

AURORA / ORCHESTRATION

MEET
AURORA.

At the center of MAVENS is Aurora: an AI orchestration layer designed to connect specialized agents, turn observations into useful context, and help people coordinate their next steps.

  • ConnectsSpecialist agents for maps, imagery, research, sensors and missions work through one interface.
  • ExplainsAnswers come with the places, dates and sources behind them.
  • CoordinatesAurora proposes the next step. People decide.

From a local workstation to connected field systems, the mission is the same: clearer awareness, better-informed decisions, and people in control.

SYSTEM / ARCHITECTURE

ONE SYSTEM.
CONNECTED
PERSPECTIVES.

Each part of MAVENS sees the world from a different angle. Together they share one record of places, observations and evidence. These are the roles each part is designed to play; current availability is listed under Progress.

AU / CORE

Aurora

The coordinating intelligence at the center of MAVENS, designed to connect specialist agents, research, spatial context and mission workflows.

FV / 3D

Falcon View

A three-dimensional workspace for exploring terrain, infrastructure, observations and reconstructed environments across research and operations.

GT / 2D

Gotham

A two-dimensional workspace for investigations, infrastructure, missions and field awareness, with the layers and tools to examine a place closely.

FD / RESEARCH

Foundry

The research environment for connecting sources, entities, places and events into investigations whose evidence stays traceable.

VS / PERCEPTION

Vision

The perception layer for interpreting camera imagery through object detection, tracking, pose estimation and scene relationships.

WM / RECORD

World Model

The shared record connecting places, objects, observations and changes across time, with sources and uncertainty attached.

RC / MODELS

Reconstruction

The pipeline for turning imagery and spatial measurements into models of rooms, buildings and environments.

AS / MISSIONS

Autonomous systems

Supervised mission workflows for compatible aircraft, surface vehicles and underwater platforms, connecting planning, telemetry and observations.

OG / FIELD

Off-grid systems

Local computing, stored knowledge, maps and field communications for places where connectivity is limited. Field radios carry short messages and positions; imagery and large maps sync when a faster link returns.

VY / SECURITY

VILYA

The security foundation for identity, permissions, monitoring, integrity and recovery throughout MAVENS.

HOW IT WORKS / WORLD MODEL

FROM SIGNAL
TO CONTEXT.

The world gives us signals. Understanding comes from connecting them, and from keeping track of where each one came from.

  1. IngestPublic data, imagery, sensors and field reports
  2. FuseClean, link and align in time and place
  3. RecordThe World Model keeps each source and date
  4. UnderstandAgents and people analyse, compare and explain
  5. ActProposed next steps, approved by a person
CIVILIAN FIRSTResearch, inspection, the environment and disaster response.
PEOPLE IN CONTROLConsequential actions wait for a person’s approval.
TRACEABLESources, times and uncertainty stay attached. Simulations are labelled.
LOCAL FIRSTRuns on your own workstation, with cloud services optional.

USE CASES / IN PRACTICE

WHERE A CLEARER
PICTURE MATTERS.

Three situations MAVENS is being designed for. Each describes the intended workflow, not a completed deployment.

01 · INFRASTRUCTURE INSPECTION

A bridge after a storm

Inspectors bring earlier drawings, past inspection notes and new imagery into one place. Falcon View shows the structure in three dimensions while Gotham maps access routes and nearby utilities.

Vision marks areas of the imagery for an inspector to review, and the World Model files each finding with its date and source, so the next inspection starts where this one ended.

02 · ENVIRONMENTAL OBSERVATION

A watershed over a season

Weather records, river gauges, satellite imagery and field-sensor readings come together on one timeline. Foundry links the reports and studies to the places they describe.

Aurora summarises what changed, shows which sources support each point, and says plainly where data is missing.

03 · DISASTER MAPPING

The first hours after a flood

Teams combine public alerts, road conditions, aerial imagery and field reports into one shared map. Off-grid kits keep maps and local computing running when networks fail.

Field radios exchange short position and status messages; larger imagery syncs once a faster connection returns. Every proposed task waits for a person to approve it.

FILMS / SIGNAL

A CLEARER
PICTURE.

Films about what MAVENS is being built to do. Concept sequences are labelled as concept visualizations.

PROGRESS / PRE-RELEASE

WHERE
WE ARE.

MAVENS is in pre-release. This is where each part stands today.

IN LOCAL BUILDS

  • Falcon View 3D globe
  • Gotham 2D map workspace
  • Foundry catalog views
  • Aurora chat prototype

IN DEVELOPMENT

  • World Model with source history
  • Identity and permissions (VILYA)
  • Public data connections
  • Saved investigations

PLANNED

  • Aurora specialist agents
  • Mission workflows with approval
  • Vision and reconstruction
  • Autonomous platform and off-grid kits
LATER: ACCOUNTS AND CLOUD SERVICES
MAVENS IDSign-up, login, passkeys, device authorization and recovery
Customer portalSubscriptions, seats, devices, API keys and security history
Organization adminMembers, roles, permissions, fleet access and audit logs
MAVENS CloudHosted Aurora, World Model, Gotham, Falcon View, Foundry, licensing and MAVENS Link

Film