Adaptive Knowledge Engine
The model is never on the path to a fact.
AKE reads regulated documents into a bi-temporal knowledge graph. Every answer is deterministic, cited to its source page, and reproducible from the same input.
Greener by design
No model inference per ingested record. Compute scales with data volume, not GPU inference, at any corpus size.
EU AI Act
Source traceability by construction. Every answer grounded to its exact document and page. Audit-ready from day one.
Deterministic
Same question, same answer, always. No probabilistic variance between runs.
Cited by construction
Every answer carries a source page citation, or the engine refuses to answer.
$0 marginal graph cost
No model call per ingested record. Ingest cost is compute, not per-document inference.
Bi-temporal
History is never deleted. The graph records what was true and when. Fully auditable.
Cited by Construction
Source page or it does not ship.
AKE answers carry a citation to the exact document, table, and page that grounds the fact. If the engine cannot locate a ground truth, it refuses rather than guessing.
“The maximum continuous discharge current for this cell type is approximately 10 amps under standard operating conditions. This may vary depending on temperature and application requirements.”
No source. Cannot be verified. Cannot be used in audit.
Max. continuous discharge current: 10.0 A (at 25 °C)
Exact source page. Reproducible. Audit-ready.
Query Types
Three classes of question AKE answers.
Specification lookup, Retrieval Augmented Generation (RAG), and Configuration Validation, each handled by the same deterministic engine with full citation.
Exact deterministic lookup of a property value
What is the maximum continuous discharge current for cell model INR21700 M50T at 25 °C?
10.0 A
Deterministic lookup. The same query returns the same answer from the same graph, always.
Architecture
From raw document to cited answer.
AKE ingests documents with deterministic code, builds a bi-temporal graph at zero marginal model cost, and serves cited answers through three query types. Click any stage to see what happens inside it.
Click any stage to learn what happens inside it.
Comparison
Five dimensions that matter to an auditor.
| Dimension | RAG over Text | GraphRAG | AKE |
|---|---|---|---|
| Model on the answer | yes | yes | no, solver decides |
| Model on graph construction | n/a | yes | no, deterministic |
| Per-record model cost | embedding only | per-record extraction | $0 |
| Reproducible from same input | no | no | yes |
| Citation on every answer | often partial | often partial | by construction |
Deployment
Three modes, zero external model calls.
SaaS
Managed graph infrastructure. Your documents, your queries, your data isolated from other tenants.
Private Cloud
Deployed inside your VPC. No document or query leaves your perimeter.
Air-Gap
Full on-premises deployment with no external network calls. Supported for defence and classified environments.
AKE Whitepaper
Grounded by construction.
The AKE technical whitepaper covers the full architecture: why regulated documents defeat ordinary tools, how bi-temporal graph construction works without per-record model inference, and the formal proof that grounding is a structural guarantee, not a quality target.
Includes a worked comparison of RAG, GraphRAG, and AKE across the four dimensions that matter to an auditor: accuracy, traceability, reproducibility, and cost.