Tacnode Context Lake
for coherent AI decisions
Tacnode maintains a shared, live, and semantic context so stateful AI agents make coherent decisions under concurrency — ensuring your agents and apps never act on incomplete, conflicting, or outdated context.
The real problem
This is not caused by data fragmentation
Modern systems don't struggle because data is split across databases. They struggle because decisions are made with incomplete, inconsistent, or outdated context.
Services, agents, and applications act continuously while state is still changing. Traditional data systems were designed for settled state — write first, read later — not for decisions made mid-flight.
Transactional state lives in OLTP databases. Features and aggregates are computed elsewhere. Search and retrieval run in separate engines. Over time, data spreads across systems as a workaround.
When no system owns decision-time data, teams reconstruct meaning in application code, pipelines, and glue logic. At that point, data becomes context. Because this happens independently, concurrent decisions evaluate the same reality differently.
What changed isn't data volume or query latency. It's when and how decisions happen.
"Fragmentation is the outcome, not the cause."
When decision-time context is incomplete, inconsistent, or outdated, systems produce confident but incorrect outcomes.
How it works
System Architecture
How Tacnode Context Lake stores, evaluates, and serves authoritative decision context.
Shared Context. Supercharged Agents.
All data. Any agent or app. Powered by live context, at any scale.
Workloads
Decision-Time Workloads
All workloads run on the same underlying system and share the same consistency, freshness, and semantic guarantees.
AI Agent Memory
A Tacnode workload that provides durable, shared memory so agents reason and act against the same evolving context.
Explore workloadFeature Store
Live features served at decision time — not batch pipelines with sync lag
Explore workloadDecision-Time Analytics
Your streaming stack is fast. Your control systems still disagree.
Explore workloadSystem Design Principles
Structural decisions that define how Tacnode Context Lake is engineered — and why decision coherence is possible at all.
Single Integrated System
Tacnode is built as one cohesive system rather than a composition of loosely coupled services. No external reconciliation. No cross-system coordination. Guarantees hold end-to-end.
System Capabilities
What Tacnode Context Lake guarantees at decision time.
Data Freshness
New state and events are ingested continuously and become immediately queryable, so decisions evaluate against up-to-date context as it changes.
Consistent Derived State
Features, aggregates, and interpretations are updated incrementally and stay consistent with live state, even under concurrency.
Semantic Operations
Predicates, features, and semantic queries are evaluated atomically with state, so agents share meaning—not just data.
Workload Isolation
Multiple workloads can operate in parallel against shared context without interfering with each other.
Platform Guarantees
Tacnode Context Lake is operated as a production-grade platform so teams can rely on its guarantees without managing infrastructure.
Fully Managed
Tacnode handles provisioning, scaling, upgrades, and recovery end to end.
High Availability
The platform is deployed with built-in redundancy and automatic failover to remain available during infrastructure failures.
Security by Default
Data is encrypted in transit and at rest. Tacnode supports private network connectivity via PrivateLink and enforces role-based permission models to control access to data and operations.
Enterprise Compliance
Tacnode meets AICPA SOC, SOC 2 Type II, and HIPAA compliance requirements, with audited controls for security, availability, and data protection.
Explore More Resources
Collective intelligence for your AI systems.
Enable shared, live, and semantic context so automated decisions stay aligned at scale.