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Feb 19, 2026
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Artificial Intelligence
Americas
Tacnode Launches Context Lake for Shared AI Agent Intelligence
NewDecoded
3 min read
Image by Xiaowei Jiang
Tacnode, Inc. officially stepped out of stealth today to launch Tacnode Context Lake, a pioneering infrastructure designed specifically for multi-agent AI systems. Headquartered in Bellevue, Washington, the company aims to eliminate the "brain lag" where AI agents operate on stale or disconnected data. The platform provides a shared, live semantic context layer that enables coordinated reasoning and action at an enterprise scale.
The core function of Context Lake is to maintain a continuously updated, coherent reality that all agents can access simultaneously. Traditional data systems often propagate state asynchronously, forcing agents to reason over incompatible versions of business data. Tacnode architecture unifies live ingestion and low-latency retrieval, allowing agents to update and retrieve shared information in milliseconds.
Alongside the platform, Tacnode introduced Semantic Operators to bridge the gap between different data types. This capability enables agents to reason over shared context using conditions that span both structured metrics and unstructured signals like support logs. By removing these boundaries, agents can make more holistic decisions based on live customer behavior and operational states.
To prove enterprise readiness, Tacnode revealed that its platform is already running in production with DoorDash. The company achieved sub-second end-to-end reactivity, reducing the time from customer action to backend context from minutes to hundreds of milliseconds. This responsiveness powers immediate in-session personalization rather than relying on retrospective data analysis.
Founded by data infrastructure veteran Xiaowei Jiang, Tacnode is now targeting sectors including financial services, e-commerce, and cybersecurity. Tacnode Context Lake is generally available via the AWS Marketplace within the AI Agents and Tools category. The system utilizes the PostgreSQL wire protocol, allowing for seamless integration with existing enterprise infrastructure.
Tacnode represents a fundamental shift from "Big Data" meant for human analysis toward "Fast Context" optimized for machine agency. While the previous decade of AI development focused heavily on how models learn, the industry is now confronting the bottleneck of how they act in coordination. By creating a shared memory layer, Tacnode solves the problem of state inconsistency where autonomous agents work at cross-purposes due to outdated information. This move signals that the next phase of enterprise AI maturity will be defined by the ability of autonomous systems to synchronize their understanding of a live environment in real-time.
