Live, decision-ready context on every record for teams and agents.

A warehouse holds data. It doesn't tell you the current reality of a deal. You can pull a report - by the time it lands, the deal has moved, the champion has gone quiet, the competitor has shown up. Context Graph reads from your warehouse, models the live State, surfaces what's changed and why, and writes the State back where reps and agents already work. Keep Snowflake, Databricks or BigQuery as the system of record. Context Graph is what makes it decision-ready.

Salesforce is the system of record. GTM Intelligence Infrastructures surfaces the live state of every record. We don't replace Salesforce - we read from it, model the live State of every account, and write the answer back to Salesforce so reps see it where they already work. The single-source-of-truth that turned into seven different versions of the truth gets resolved on the graph, then synced back. CSMs stop spending half their week piecing together what's happening on an account. RevOps stops being the bottleneck every time someone needs a number.

Signal tools sell signals. Revenue Labs observes signals in the context of the account + your GTM. A hiring spike, a website visit, an intent topic - on their own they're rows in a dashboard. In the system they're inputs to the live State of an account: which persona it points to, which pain it activates, which message your top performer would send, which deal it changes the trajectory of. Most customers keep their signal vendors and feed them into Context Graph - that's where the feedback loop closes.

No. Context is surfaced where you work - in CRM, Slack, Teams, in your browser - the State surfaces where they already are. Account context shows up in Salesforce. Deal-risk alerts land in Slack before the call. Meeting briefs land in their inbox the morning of. No new login. No new dashboard. The reps who use it most don't realise they're using it - they just notice they got their week back. If preferred, you can find live state in our platform.

Five-second cycles. Every signal, conversation, product event and outcome lands on the graph the moment it happens. No overnight batch. No Monday refresh. No "as of last Friday" footnote. When your champion goes silent on Tuesday, State changes on Tuesday. When a competitor lands in a deal, every other deal that competitor's ever touched is one query away.

No. The reason most of those bots underperform is they're starved of context - they answer from a slice of data, then drift. Plug them into the GTM Intelligence Infrastructure and they start answering from the live State of your GTM. Your prospecting bot stops sending the wrong message to the wrong contact. Your support bot stops missing the renewal risk that's been climbing for three weeks. The bots you've built don't get thrown out - they get fed.

State. Most AI failure modes - hallucination, drift, the confidently-wrong answer - are downstream of a missing reasoning layer. Agents on the GTM Intelligence Infrastructure can't make a recommendation without the State that produced it; the decision trace is mandatory. If the graph doesn't have the evidence, the agent flags - it doesn't act. That's the difference between scaling a system that compounds and scaling in the wrong direction.

Role-based access at every level. Sources are opt-in - turn off product data, turn off call recordings, turn off any signal you don't want on the graph. Queries are scoped by role - what an SDR can ask is not what the CRO can. Every query and every write is logged, auditable, reversible. ISO 270001, GDPR and Data Protection Act compliant from day one. The graph is yours. The controls are yours.

That's the use case it was built for. Six CRMs, three call recorders, four sequencers, the rest in spreadsheets. The graph normalises across sources, stitches identities, resolves duplicates, and writes the clean version back to your systems of record. CRM hygiene becomes a side effect, not a prerequisite. The data-quality argument ends in the first quarter - because nobody's debating which system is right any more. The graph is right. It writes back to the rest.

Yes. The system is headless and accessible by MCP, so you can talk to it from Claude, ChatGPT, your own internal tools, or anywhere an agent runs. You don't have to live in our workspace. Reps stay in Slack and the CRM. RevOps queries the graph directly. Leadership asks Claude. One source, many surfaces - like water to a fish, ever-present, not in your way.