Sokros

Artificial Sovereigntybound by facts

Advancing data with Sovereign AI you can defend, audit and evolve.

Trusted by

The organisation's records as a field of about twenty-four thousand points, walked through four stages by the tabs: the field emerges white as records extract, five category colours take it over as they classify, the field draws inward and swirls for context, and the same movement carries it into the spinning Sokros pinwheel, resolving brand green, for autonomous decisions.

Start with data clarity

The doctrine

Probability is never policy

Deep Machine Learning separates AI predictive judgment from recorded fact.

Data is either present or not

Deterministic algorithms form decision context on verified data, isolating the risk of data hallucination.

Traceability, start to end

AI powered decisions are recorded at every step, for full control of amending workflow outcomes.

Transparent and ethical

Decisions follow causal outcomes, reproducing consistent output with the same input, promoting fair and defensible AI.

Enterprise

Wherever wrong is expensive

Fusing the power of Artificial Intelligence and confidence of deterministic results. Advancing sectors previously halted by AI volatility.

Use case 01 · identification

The right person, provably.

Enrolment records, ID pages and observed footage read into one rule trail.

  • Every rule's outcome stored
  • Signals for a person, never auto-penalties
  • Reopenable any time
Workforce Matrix →

Use case 02 · business & legal documents

The clause, found and held.

A 41-page agreement becomes typed fields, each pinned to the clause that says so.

  • Every field quoted
  • Output in your schema
  • Playbook bands, reasoning recorded
Documents and bespoke work →

Use case 03 · AI safety & regulation

Judging the judges.

Policy criteria as binary checks per output, severity banded with written reasoning.

  • Criteria as checks, per output
  • Severity banded, reasoning attached
  • The evaluation itself replays
Regulated workflows, built to spec →

Use case 04 · qualification marking

The grade that survives moderation.

Eligibility checked at intake, evidence quoted, the band written with its reasoning.

  • Levels 3 · 5 · 7
  • Marked in under two minutes
  • Replays for moderation
Grading Engine →

Use case 05 · regulated casework

Every decision cites its regulation.

Casework judged against the rules as published, the clause behind each outcome attached.

  • The rule trail on every outcome
  • Rules versioned, decisions dated
  • Reopenable at appeal
Regulatory Compliance →

Use case 06 · suppliers & procurement

Every supplier on one yardstick.

Onboarding packs checked at the door, quotes compared clause by clause.

  • Packs checked at intake
  • Quotes compared clause by clause
  • One graph across the estate
Supplier Performance →

Use case 07 · records & duplicates

One record, and the merge that made it.

Two systems, two spellings of the same supplier, one resolved record.

  • Merges evidenced, never silent
  • Conflicts held for a person
  • Every version survives
Data Resolution →

Partner Program

Research and Impact

Promoting ethical Artificial Intelligence through transparent and traceable workflows.

3D ribbon diagram of a complex protein structure

Google DeepMind + AlphaFold

Cryo-Electron Microscopy class interactions

Person reviewing written work at a desk

Ofqual

Set the conditions for AI on regulated exam scripts.

Teacher guiding a student using a tablet in a modern classroom

UAE Ministry of Education

Build a curriculum-grounded companion for every learner.

Aerial view of NEOM Oxagon city on the Red Sea coast

NEOM

Design accountable AI for cognitive city operations.

Student concentrating on written work during an exam

Pearson

Measure how vetted AI changes active learning.

Our Mission

Expanding human reasoning through AI stewardship.

Elevating shared intelligence that is scalable and accountable.

Sokros

Sovereign by design

Zero third-party AI in the judgement path

No source record touches a consumer AI service, and judgement never trains a model.

In-region or in-building

UK, EU and Gulf hosting, or fully on-premise on your own GPU floor. The boundary is the institution's to draw, and the pipeline runs the same inside it.

Replay-proven

Any decision re-runs byte for byte on demand: for an operator, an appeal, or an auditor holding a year-old question.

Retention on instruction

The pipeline stores decisions and quoted evidence, not profiles. Deletion follows the institution's instruction.

Bring the work that must be right.