EverSphere’s research programme combines two complementary disciplines: Elliot Foster’s applied AI development, advancing model capability and efficiency, and Abby Shaw’s ethical assurance, embedding transparency, fairness and safety into every release.
See more> 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
Chief of Safety & Assurance
Dr Shaw leads EverSphere’s assurance programme, bringing over a decade of experience in AI risk management, defence-grade auditing, and international regulatory compliance. Her research focuses on operationalising ethics: translating abstract principles into guardrails that can be tested, audited, and enforced.
Dr Elliot Foster’s research is the backbone of EverSphere’s technical programme. His work focuses on building scalable, multi-modal foundation models and a decision engine capable of constraint-aware planning at global scale. Elliot’s approach emphasises reproducibility: containerised pipelines, benchmarked datasets, and redacted artefacts made available for verification.
> model: Kai-v7.6 planner distillation
> dataset: multi-domain policy suite
> interpretability: Horizon Layer active
> energy use: -41% vs baseline
> audit status: reproducible pipeline verified
Platform moves to select‑partner roll‑out across energy and health, supported by independent assurance and red‑team coverage.
Decision engine hardened with policy‑constrained planning and full audit trails; restricted trials commence with critical‑infrastructure partners.
Milo and Kai complete an extended closed‑box communication study; ShadowIntel undergoes evaluation in live training and operational scenarios.