ANIMA

The intelligence that moves the ecosystem.

Perceive, understand, anticipate, coordinate and act — under human control.

  • Perceive
  • Understand
  • Anticipate
  • Coordinate
  • Act
Target architecture Long-term research programme

How it thinks

From perception to action.

Inputs Systems Memory Validation Forecast CARE VIGIL FLOW VR ANIMA

Receives text, voice, images, video and sensor data.

Capabilities

Seven capabilities, one core.

Perception

Receiving information from text, conversations, images, video and sensors.

Understanding

Interpreting information in light of its context and defined objectives.

Memory

Drawing on authorised, structured and controlled knowledge and history.

Reasoning

Analysing situations, establishing relationships, comparing hypotheses and building plans.

Anticipation

Identifying trends, estimating risks and forecasting changes from available data.

Coordination

Orchestrating interactions between specialised systems.

Action

Executing authorised operations, in line with permissions, validations and security rules.

Architecture

One pipeline, framed by governance.

Target architecture — no module is presented as implemented.

Governance — Security, permissions, traceability
  1. PerceptionReceiving and interpreting information
  2. Memory
    Reasoning
  3. ANIMA CoreCoordination kernel
  4. OrchestratorCoordinating systems and agents
  5. Action EngineControlled execution of operations

Scenarios

What it could look like.

Illustrative scenarios — not operations in production.

ANIMA + CAREA health professional dictates an observation in Swahili.

  1. Language recognition
  2. Information extraction
  3. Data structuring
  4. Highlighting signs that need attention
  5. Presentation to the professional for validation

ANIMA is not a doctor: every element remains subject to the judgement and responsibility of the professional.

ANIMA + VIGIL + FLOWA camera detects movement in a warehouse at an unusual hour.

  1. Event received
  2. Search for authorised context
  3. A delivery is scheduled at that time
  4. Revised interpretation and confidence level
  5. Team informed

A detection is never presented as proof of a person’s identity or intent.

ANIMA + FLOWConsumption is rising at some sites.

  1. Risk identified
  2. Causes explained
  3. Available stock compared
  4. Redistribution proposed
  5. Operation prepared, awaiting validation

Actually executing a transfer depends on the applicable permissions and rules.

Sovereignty

Local, sovereign, controlled.

  • Data ownership

    Data remains under the control of its legitimate holders.

  • Local deployment

    An architecture designed to run close to the field when needed.

  • Offline, where possible

    Aiming for offline operation for compatible functions.

  • Local languages

    Working on understanding Swahili, Lingala and field languages.

  • Access control

    Explicit permissions; human validation for significant actions.

  • Traceability

    Logging of operations and governance of models and knowledge.

A useful intelligence is also measured by what it knows not to do.
Experience ANIMA Interactive demonstrations in preparation — synthetic data only.

Research & partnerships

Building ANIMA with the right people.