SEMANTIX

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The context layer for enterprise data

Grounded answers
from your data.

Text-to-SQL is a solved problem. Trustworthy numbers are not. SEMANTIX anchors every answer in governed, centralized context — certified metrics, living business knowledge, and readable execution.

Start free See how it works

Revenue scope · SEMANTIX modelevery answer validated & audited

How did sales growth trend last quarter, and what drove it?

ResolvingRoutingExecuted · validated

validated ✓ · read-only · auditedsources: master_sales_table dim_customers

Break down by regionShow monthly trendCompare vs plan

Sales growth

18.2%

+4.1 pts vs last quarter

monthly · certified metric

Customer acquisition

1,284

+9.4% new logos QoQ

new customers · last quarter

Revenue

$8.4M

+18.2% QoQ

Gross margin

42.7%

stable QoQ

Net revenue retention

114%healthy

expansion outpacing churn

tracked as a certified metric

The problem

Getting the number right
is the hard part.

SQL generators write queries. They don't know your business, your metric definitions, or which table is the source of truth — and they can't tell a pipeline bug from a market shift.

Context is scattered

Metric definitions live in wikis, heads, and spreadsheets. Every answer re-litigates which table, which filter, which grain.

AI guesses without governance

Text-to-SQL without context hallucinates columns, joins the wrong tables, and returns confident nonsense.

Drift eats trust

When a metric moves, teams burn days deciding whether it's a real signal or something broke upstream.

Context scopes

Governed spaces, shaped like your org.

Context scopes are strictly governed environments that mirror how your company actually works — team level, domain level, topic level. Each scope carries its own certified metrics, business rules, and knowledge.

Yours by design

Build scopes for Revenue, Build, Retention — whatever reflects the org. Include other scopes to compose larger contexts with inherited rules.

Bring your knowledge & tools

Attach business rules, investigation findings, and any MCP server. Context stays living — curated and certified by the people who own it.

Accuracy-first chats

Scoped chats see only governed context: registered schemas, sampled column values, validated read-only execution, and every saved answer keeps its question, SQL, and result.

Self-watching metrics

Metrics that watch themselves.

Certified metrics run on a schedule with automated anomaly detection — so drift gets triaged before it becomes a meeting.

Scheduled runs

Metrics execute on your cadence with history, deltas, and sparklines — 'vs last run' is always one glance away.

Anomaly detection, with breakdowns

Automated checks flag outliers and break them down by dimension — you see which slice moved, not just that something moved.

Drift triage built in

Scoped chat investigates automatically: upstream technical issue or real anomaly? The answer arrives with lineage and evidence.

anomaly detectedSales growth−6.2% WoW

auto-triaged in 42s

weekly · last 8 weeks

EMEA −14.0%

stale pipeline sync · upstream issue ✓ fixed

technical

NA +2.1%

real demand shift · monitor

genuine

Open mode

Governed when you need it. Open when you don't.

Beyond governed scopes, build custom agents that call any custom MCP server in non-governed chats — general assistant behavior with the same polish, for everything that doesn't need the guardrails.