Engineering intelligence with rigour and responsibility.
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.
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
Dr Abby Shaw
Chief of Safety & Assurance
Ethical Oversight & Governance
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.
- Bias and fairness evaluations across every release
- Red-team protocols and independent external audits
- Transparent model cards & safety sheets
- Ethics board sign-off before deployment
AI Development & Systems Research
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.
- Policy-constrained planners with rollback assurance
- Energy-efficient training using sparse mixtures and distillation
- Interpretability probes and causal tracing tools
- Continuous decision integrity benchmarking
Technical Snapshot
> 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
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.