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Graph-centred control plane for agentic AI: node resolution with ACCEPT/DEFER/REJECT and full provenance. Seeking pilots: Business Intelligence, Border Control, Pharma.
About
Xplore Intelligence builds a graph-centred control plane for agentic AI. Our layer makes the graph both the memory and the place where work is planned and verified. Each decision runs as node resolution over schema-validated subgraphs, producing ACCEPT / DEFER / REJECT with edge-level provenance, replay and auditability. UK-based, with active university validation.
Key Benefits
- Explainability by design: every alert/decision carries evidence, lineage and a full audit trail (supports compliance).
- Lower risk, fewer false positives: schema-constrained reasoning + cross-source corroboration.
- Faster triage & review: deterministic outcomes and point-in-time replay cut investigation time.
- Cost/latency control: agent policy/routing with atomic telemetry (quality, cost, SLA).
- Easy to adopt: SDK/API, adapters for common data sources; model-agnostic (works with your LLMs/tools).
Applications
In Oct-Dec 2025 We are recruiting design-partners/pilots in three tracks:
- Business Intelligence: explainable buying-mode & risk signals fused across CRM/ERP/OSINT; dossier graphs for account prioritisation and deal/risk reviews.
- Border Control (Cargo): explainable risk flags across manifests, vessel/flight telemetry, registries and OSINT; replayable audit graphs for every alert.
- Pharma & Life Sciences: evidence graphs for R&D and safety; trial-data fusion, hypothesis tracing, provenance-complete outputs.
Ideal partners: data owners/operators or integrators with authority to run a sandbox pilot (UK/EU priority; global welcome).