Every team has access to the same models and tools. The ones who win build richer, connected context around every signal and act on it with precision. Vx Context Studio is the intelligence layer that makes this possible - headless, database-native, and built to run agents that actually know what they're doing.
Vx Context Studio is built on three architectural decisions that make it fundamentally different from any dashboard, database, or data platform you have used before.
Works inside the tools your team already uses. No new interface to learn, no new tab to open. Your team queries and acts on context directly from the AI assistants and developer environments they use every day.
mcp-serverConnects directly to your existing database. No proprietary storage, no vendor lock-in, no migration required. Your data stays in your own infrastructure and compounds in value over time.
database-nativeRaw, unstructured data is transformed into a network of connected entities: companies, contacts, signals, and relationships. The graph grows richer with every new data point, building an intelligence layer no static tool can replicate.
context-graphThe context stack is built from six interlocking layers. Each one handles a distinct job. Together, they form an intelligence layer that grows richer with every interaction.
Everything you care about - people, organisations, processes, products - becomes a first-class node in a living graph. Not a row in a spreadsheet. A rich entity that accumulates intelligence over time and connects to everything around it.
How things connect is as important as the things themselves. Every edge in the graph carries direction, strength, and type. Context lives in the connections - and those connections are queryable, traversable, and alive.
Every time-series event that changes the state of an entity. A new data point arrives and the graph reacts instantly - scores shift, relationships update, agents are notified. Nothing sits in a silo waiting to be discovered.
Every query, interaction, and outcome is stored and linked to the entities involved. Agents remember what happened, what worked, and what was decided. Context is never lost - every session picks up exactly where the last one ended.
Structured intelligence that tells agents what to do when conditions are met. Thresholds, conditional logic, and prescribed actions - all queryable from the graph. The system knows not just what is true, but what to do about it.
The output side of the loop. Every action taken by an agent, every decision made, every result logged - all fed back into the graph. The system learns from every execution, making the next one sharper and more precise.
When all six architecture layers connect into one graph, four powerful capabilities become possible - none of which are achievable with flat data or disconnected tools.
Every data point becomes a connected piece of intelligence. Every relationship between nodes adds meaning. You're not storing records - you're building a continuously updated picture of any domain that reflects reality as it changes.
Multiple signals - behavioral, structural, temporal - combined into a single relevance score for any entity in your graph. Surface what matters the moment it emerges, not after a manual review cycle that is already too late.
At every touchpoint where a human or agent needs to act, the relevant history, signals, and strategic guidance surface automatically. The right context arrives exactly when it is needed, without anyone having to search for it.
AI assistants connected to your context layer can query, reason, and act on your intelligence in real time. They work inside the tools your team already uses, with human review at every decision point so you stay in full control.
Teams that operate from a living context graph don't just move faster - they build a compounding intelligence advantage that cannot be bought, copied, or rented.
Context that used to require hours of manual research surfaces in seconds. The system knows what is relevant before you have to ask.
When agents carry full context between sessions, you stop rebuilding understanding from scratch every time a new task begins.
One person with a connected context layer moves with the strategic output of a full team backed by institutional memory.
Every interaction, outcome, and observation is preserved in the graph. Nothing falls through the cracks. Nothing has to be re-explained.
Every signal ingested makes your intelligence richer. Unlike external data you rent or reports you generate once, your context layer grows in value with every interaction - becoming a proprietary asset that reflects your unique domain and cannot be replicated or purchased.
The same graph powers every function. Pick a use case to see exactly how context transforms that workflow.
See how the context layer powers a multi-agent engineering workflow, from a single prompt to a fully shipped feature with zero context drift.
See how the context layer powers a full go-to-market workflow, from raw signal to personalized engagement at scale with full strategic control.
We're onboarding a limited number of teams onto the beta. Leave your details and we'll be in touch. Beta
Works inside the tools your team already uses