Standardizing on Memgraph's in-memory graph engine cut reView's data ingestion time by more that 10x - without sacrificing the traceability that defines the platform.

Bellevue, WA - August 13, 2026

Speed and defensibility have long been treated as a trade-off in high stakes decision-making: you could have answers fast, or you could have answers you could prove - rarely both. Today, data², the decision intelligence company behind the reView platform, is closing that gap with a strategic partnership with Memgraph, the high-performance, in-memory graph database built for real-time analytics and AI.

By standardizing on Memgraph as the graph engine at the core of reView, data² has cut its data ingestion time by more than 10x while simplifying deployment, giving customers decisions made on current data, not stale snapshots.

Graph technology sits at the heart of reView, which harmonizes fragmented, multi-modal data (structured records, documents, and real-time signals) into a single, auditable intelligence layer so that enterprise and government teams can trace every decision back to its source. As customer data volumes and real-time demands grew, data² set out to find a graph platform that could scale at the speed and efficiency its customers require, without compromising. the traceability and explainability that define its product.

In head-to-head evaluation against competitors, Memgraph delivered on every dimension that mattered. Its in-memory architecture sharply cut ingestion time, improved overall efficiency and streamlined deployment. For data²'s customers, that speed translates directly into decision made on current data rather than stale snapshots, with new information reflected in near real time. A leaner, more efficient footprint also lets reView deploy flexibly across cloud, on-premises, and the air-gapped or sovereign environments that regulated and government operations demand.

Just as important as the technology was the partnership behind it. Rather than acting as a traditional vendor, Memgraph has worked together with data²'s team to optimize and fine-tune how the platform performs, a level of collaboration and responsiveness data² had not previously experienced.

"Our customers make high-stakes decisions, and they need answers in real time without ever sacrificing the ability to defend how those answers were reached. Moving to Memgraph transformed our ingestion speed and delivered real gains in efficiency. But what truly set them apart was the partnership. Memgraph has invested in our success, working alongside our team to deliver uncompromised and exceptional value for our customers. That's exactly the kind of partner we need to keep scaling at the speed and efficiency our customers demand." - Kerynn Holtzman, Chief Operating Officer, data²

The move expands data²'s footprint and capabilities, enabling the company to take on larger, more complex, and more real-time workloads across the regulated industries and government agencies in serves. the performance and efficiency gains give data² differentiators the company believes will help set the standard in its markets, where speed and defensibility have traditionally been at odds.

"Explainability isn't a feature you bolt onto an AI system, it's a property of the data structure underneath it. A graph gives you the connected context and the path back to the source in the same traversal. That's why data² could cut ingestion time by more than 10x without giving up a single step of traceability. Very few teams are attempting what data² is attempting: verifiable AI in environments where you can't phone home and can't hand-wave the audit trail. We're proud to power the core of the reView platform and to partner closely with the data² team." - Dominik Tomicevic, Founder and CEO, Memgraph

The two companies will continue to collaborate on performance optimization and new capabilities, giving data²'s customers room to run larger, more real-time workloads as their needs grow.

What this means for reView customers

• Current data, not stale snapshots. More than 10x faster ingestion means new information is reflected in near real time, so decisions rest on what's true now.

• Deploy anywhere it matters. A leaner footprint runs across cloud, on-premises, and air-gapped or sovereign environments - built for regulated and government operations.

• Traceable by design. Every answer keeps its path back to the source, so decisions stay defensible and auditable - no trade-offs between speed and provenance.

See reView in action

About data²

data² is a decision intelligence company on a mission to build a world where people and machines make smarter decisions together. Its patented reView platform unifies fragmented, multi-modal data into a single, auditable intelligence layer that delivers AI you can verify and decisions you can defend. Purpose-built for regulated, high-stakes environments across enterprise and government, data² operates globally with entities in the United States, Canada, Mexico, and now Australia. Learn more from the data² resource library.

About Memgraph

Memgraph is a high-performance, in-memory graph database that powers real-time AI context. It serves as the graph engine for GraphRAG pipelines, AI memory systems, and agentic workflow - sub-millisecond multi-hop traversals with full provenance for any system that needs structured, connected context alongside semantic search. The same architecture drives real-time graph analytics for fraud detection, network analysis, and infrastructure monitoring.

This announcement was distributed via EIN Presswire. Read the syndicated release