Intelligence that scales from signals to systems.
EverSphere AI operates as safety-governed artificial intelligence infrastructure for decision-making in systems where scale, constraint, and accountability are non-negotiable.
View full black box window> incident drills executed • 0 faults> policy constraints loaded: policy:v3> compliance check: DPIA completed> training run: RoboticAI-v1 • epoch 4348/8546> red-team stress test in progress • no anomalies> load balancer reroute • Lexicon-v11 capacity normal
(last 90 days)
The EverSphere Platform
A modular intelligence stack for governed deployment in high-consequence environments.
Foundation Models
Multimodal models calibrated for domain accuracy, bounded reasoning, and controlled deployment.
Decision Engine
Constraint-aware planners translate policy into action with verifiable logs and rollback.
Safety Layer
Red-teaming, interpretability probes, sandboxed staging, and enforced shutdown paths.
Compliance Cloud
Audit-ready governance: lineage, bias reports, DPIAs, and sector-specific certifications.
Model Snapshot
Conversational intelligence, trained for structured dialogue, calibrated affect, and operator trust. v7.6 Kai: Optimisation & Planning
Constraint-aware planner for critical infrastructure and policy simulations. v8.0 ShadowIntel: Strategic 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.
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Technical Briefs
Concise write‑ups of methods and results for Milo, Kai and ShadowIntel without promotional framing. -
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
NewPolicy‑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.
Marcus Knox
Managing Director
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.
Knox’s career spans global social platforms, large-scale digital systems, applied machine intelligence, and governance-constrained deployments. His focus at EverSphere is the development of intelligence infrastructure that can operate continuously under public, regulatory, and ethical scrutiny to redefine the boundaries of progress.
“We are not building tools. We are building the next layer of civilisation.”
Safety, Governance & Assurance
EverSphere systems operate under explicit human-defined objectives and continuous oversight. Every deployment includes end-to-end logging, intervention mechanisms, and post-incident review.
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
Case Studies
All Case StudiesGrid Optimisation
Reduced peak load by 18% across a national grid with policy‑constrained scheduling.
Triage Copilots
Deployed hospital copilots that prioritise safely, reduced administrative burden, and preserve clinician oversight.
ShadowIntel
Military intelligence platform, battle-tested for rapid threat detection and decision support.
Latest News
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.
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.
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.