Tacnode is building a new class of data infrastructure called a Context Lake to provide shared, live, semantic context for real-time AI decision systems.
As AI shifts from offline training to continuous decision-making, most systems fail because they operate on incomplete, outdated, and inconsistent context. Relevant information may exist but is unavailable at decision time. System delays cause decisions to reflect the past. Different systems act on different versions of reality.
The result is not just latency, but lower-quality and conflicting decisions. Correctness becomes an accident of timing rather than a property of the system.
Tacnode solves this by unifying live ingestion, incremental transformation, and relational, vector, and semantic queries into one shared context layer. All models and applications operate on the same coherent snapshot of reality.
Tacnode’s mission is simple:
Turn live data into shared, coherent decisions—in milliseconds.