Enterprise AI Platform

Intelligence that scales from signals to systems.

EverSphere builds foundation models and decision engines for energy, health, finance and public infrastructure. Deployed safely. Audited continuously. Built for impact.

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Live Black Box Window
Latency < 23ms
Operational 
> robustness check: VectorGrid-v1 adversarial pass
> hash check: kai-v7 configs verified
> route evaluation: /decisions/analyze
> core: milo-v8 • status: evaluation
> escalation path: validated • no activation
> independent audit: TerraCast-v1 • findings logged
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99.98%
Mission uptime (rolling 12 months)
2.8×
Avg efficiency uplift
0
Critical incidents
(last 90 days)
48
Select‑partner deployments

The EverSphere Platform

A modular stack for building, governing, and deploying intelligent systems at global scale.

Foundation Models

Multimodal language–vision models fine-tuned for domain accuracy and reasoning integrity.

Decision Engine

Constraint-aware planners translate policy into action with verifiable logs and rollback.

Safety Layer

Red-teaming, interpretability probes, sandboxed staging, and automatic kill-switches.

Compliance Cloud

Audit-ready governance: lineage, bias reports, DPIAs, and sector-specific certifications.

Model Snapshot
v8.0 Milo: Human-aligned Dialogue
Conversational intelligence, trained for empathy, trust, and nuance. v7.6 Kai: Optimisation & Planning
Constraint-aware planner for critical infrastructure and policy simulations. v8.0 ShadowIntel: Military Intelligence
Field-tested system for threat detection, signal analysis, and command decision support. View full research archive

Research & Technical Notes

We prioritise transparent engineering over hype. EverSphere releases technical briefs, evaluation reports, model cards and assurance summaries that show how our systems behave in the real world. Where licences allow, we publish datasets, prompts and test harnesses for independent verification.

  • Technical Briefs
    Concise write‑ups of methods and results for Milo, Kai and ShadowIntel - no marketing gloss, just what works.
  • Evaluation Reports
    Decision integrity, safety and latency benchmarks with reproducible settings and seeds.
  • Model Cards & Safety Sheets
    Intended use, limitations, known risks, guardrails and mitigation strategies—updated per release.
Featured
New
Policy‑Constrained Planners

How Kai executes under explicit rules and rollover states—metrics, failure modes, and examples.

Evaluation Suite
Decision Integrity Benchmarks

Public summary of our mixed‑domain tests: safety, bias, robustness and operator‑in‑the‑loop latency.

Reference Pipelines

Containerised training and eval recipes, config samples, and deployment checklists.

API examples
Where open release isn’t possible, we provide redacted artefacts and config snapshots to aid verification.
Marcus Knox

Managing Director

Founder & Visionary

Marcus Knox

Marcus Knox is not just the founder of EverSphere, he is its architect and its unrelenting force. For over two decades, Knox has pushed beyond the limits of conventional technology, insisting that intelligence should not only serve humanity, but reshape it.

From the earliest days of global social platforms to the advent of large-scale AI systems, Knox has been at the centre of every stage of transformation. His vision: an infrastructure of intelligence that is as indispensable as energy or water. Systems that anticipate need, eliminate inefficiency, and redefine the boundaries of progress.

“We are not building tools. We are building the next layer of civilisation.”

Marcus Knox
Explore the Platform Contact EverSphere

Safety, Governance & Assurance

Our AI systems operate under explicit human‑set objectives and transparent oversight. Every deployment includes end‑to‑end logging, circuit breakers, and post‑incident reviews.

Guardrails

Content policies, domain boundaries, PII controls, and rate‑limited actions.

Auditability

Immutable logs, model lineage, and independent assurance partners.

Human Oversight

Escalation paths, approval gates, and dual‑control for critical decisions.

Red Teaming

Continuous stress‑testing with internal and external adversaries.

Deployment Policy Snapshot
  • Objective and scope documented
  • Human‑in‑the‑loop on high‑impact actions
  • Safe rollback with state restoration
  • Privacy by design & DPIA completed
  • Ethics board sign‑off
Read the Safety Charter

From social‑scale signals to society‑scale systems

Our heritage in large‑scale social platforms taught us to read noisy, real‑time signals and serve billions with low latency. Today we apply those lessons to build dependable AI for critical infrastructure.

Latency Engineering Abuse & Integrity Trust & Safety
Scale

Event pipelines designed for trillions of messages/day inform our blackbox fabric.

Integrity

Hard‑won expertise in content integrity now powers robust safety filters and abuse defences.

Observability

Unified telemetry, drift detection, and continuous evaluation across every deployment.

Case Studies

All Case Studies
Energy
Grid Optimisation

Reduced peak load by 18% across a national grid with policy‑constrained scheduling.

Health
Triage Copilots

Deployed hospital copilots that prioritise safely, cut admin time, and preserve clinician oversight.

Military
ShadowIntel

Military intelligence platform, battle-tested for rapid threat detection and decision support.

Latest News

Milo v8 Released into Clinical Settings (2025) Deployed Hospital Triage Copilots (2025) Military intelligence platform battle-tested (2025) Optimised multimodal supply chains (2025)

Milestones

2025

Platform moves to select‑partner roll‑out across energy and health, supported by independent assurance and red‑team coverage.

2024

Decision engine hardened with policy‑constrained planning and full audit trails; restricted trials commence with critical‑infrastructure partners.

2023

Milo and Kai complete an extended closed‑box communication study; ShadowIntel undergoes evaluation in live training and operational scenarios.

Let’s build responsibly at planetary scale.

Tell us about your use‑case. Our team will share reference architectures, safety guidelines, and a pilot plan within 3 working days.

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