Technical discovery over your real sources, an entity-relationship model derived from the questions operations need answered, and a platform choice justified by load, latency and cost.
Book a diagnosisMost graph projects do not stall on technology: they stall on deciding what is a node, what is an edge and what is a property. When that choice is made during implementation, every new business question turns into schema refactoring, reindexing and reprocessing.
The question drives the model. The requirements drive the technology.
We run technical discovery over your real sources, design the entity-relationship model from the questions operations need answered, and justify the architecture by load, latency, total cost and available team, with curation across enterprise and open source technologies. You leave with a blueprint your team can implement and defend.
Talk to an architectEach item is defined before we start and delivered with documentation, so continuity does not depend on us.
Inventory of current databases, cardinalities and what each system actually knows about each entity.
Nodes, edges, properties and identity keys documented alongside the queries each decision relies on.
Enterprise and open source technologies compared against your volume, your queries, licensing terms and budget, with a written recommendation.
Phases, risks, dependencies and the objective criterion for promoting each stage.
Two hours with a graph architect to review model, sources, queries and platform.
