Heritage

From social signals to society‑scale systems.

EverSphere’s leadership built and operated some of the world’s most heavily used digital platforms. That experience – hard‑won lessons in latency, integrity and governance – now underpins an AI platform built for critical infrastructure.

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Latency < 27ms
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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Social > AI
Founder’s Perspective

What social taught us about building safe AI

In the 2010s and early 2020s, a new class of founders proved that software could connect billions, modulate attention, and orchestrate real‑time systems, from global social graphs to private orbital launch and planetary‑scale logistics. That era revealed both the power of software and the limits of engagement‑only optimisation. Unlike Facebook, we cared about our users and learned about their wellbeing.

  • Latency discipline: sub‑100ms matters. If a timeline can stall under load, a grid can too. We build for worst‑case, not demo‑case.
  • Abuse & integrity: adversaries adapt. Our safety layer assumes red‑teams exist and automates their lessons into guardrails.
  • Governance beats growth: scale without oversight breeds externalities. Our platform ships with auditability and human‑in‑the‑loop by default.
  • Mission clarity: optimisation targets must be explicit and bounded. Vague objectives invite unintended consequences.

“We graduated from chasing clicks to stewarding critical decisions. That requires different instincts and different engineering.”

From Social Scale to AI Infrastructure

Marcus Knox built some of the largest social platforms in history, connecting billions and proving that digital systems could shape global behaviour in real time. But connection was only the beginning. Knox saw first-hand that the same engineering disciplines that scaled social - latency mastery, trust and safety, abuse defences - were the foundation for something far greater: dependable intelligence for critical domains. EverSphere is the result.

A Founder’s Vision

“In social I proved that software could connect the world. But attention is fragile. The future demands systems that deliver stability. EverSphere is that system: intelligence engineered with the same relentless focus on scale, integrity and resilience - not for feeds, but for civilisation itself.”

Marcus Knox, Managing Director
Latency Engineering Abuse & Integrity Trust & Safety
Objectives, not proxies

Where social platforms optimised for engagement, EverSphere optimises for explicit missions: energy stability, patient safety, financial integrity. Every decision is measurable, auditable, and reversible.

Integrity by design

Knox insists on safety as a first principle. Guardrails, rate‑limits, PII controls and dual‑control approvals are embedded at the core of every release, not bolted on afterwards.

Observability everywhere

In social, downtime meant a broken feed. In AI, blind spots can mean systemic failure. EverSphere provides unified telemetry across every model and action, ensuring resilience at national scale.

Human accountability

Critical actions remain under human oversight. Knox has built EverSphere to make the right path the default path - combining automation with accountability.

Milestones

Social Era
Operating at global user scale

Leadership team builds platforms delivering real‑time feeds, safety tooling, and content integrity for audiences measured in the billions. Focus: latency, abuse response, trust frameworks.

Transitional Insight
From engagement to mission outcomes

We formalise a doctrine: declare objectives, verify policy conformance, simulate rollouts, log everything. Engagement metrics give way to outcome metrics.

EverSphere Founded
Platform for critical decisioning

Foundation models paired with a policy‑constrained planner and a Compliance Cloud for audit‑ready deployments.

Today
Energy • Health • Finance • Military

Live pilots and production deployments with human oversight by default, rollback plans tested, and independent assurance partners engaged.

Ethos
No hero metrics

We don’t celebrate vanity numbers. We celebrate robustness, safety and verified outcomes.

Reference
  • • Model Cards & Safety Sheets (per release)
  • • Evaluation reports (decision integrity, latency, bias)
  • • Assurance summaries & change logs

Build with operators who’ve shipped at global scale.

If you’re evaluating AI for critical domains, our team will assemble an assurance pack and a tailored pilot plan.

Talk to EverSphere

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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