Trusted context
Definitions, lineage, playbooks, and business logic give every answer the meaning your company already agreed on.
Helium answers questions, investigates why metrics moved, and delivers decision-ready analysis everywhere your team works—all grounded in trusted context.
Helium / Revenue intelligence
Question
Plan
Compare cohorts, isolate drivers, test significance, model recommended action.
Evidence
Sources linkedWITH retention AS (
SELECT account_segment,
sum(renewed_arr) / sum(start_arr)
AS nrr
FROM revenue_cohorts
WHERE quarter >= '2026-Q1'
GROUP BY 1
)
SELECT * FROM retention;Finding
Mid-market activation explains 61% of the decline
High confidence
Next move: tighten the 50–250 seat onboarding handoff. Modeled upside: $1.2M ARR.
Connect the stack · Understand the business · Deliver the answer
Integrations include Snowflake, PostgreSQL, BigQuery, dbt, Looker, Slack, Microsoft Teams, GitHub, Databricks, MCP, Embedded analytics.
One intelligence layer
Helium combines the speed of an AI analyst with the context, controls, and distribution an operating business demands.
Definitions, lineage, playbooks, and business logic give every answer the meaning your company already agreed on.
Ask in natural language and get charts, SQL, Python, raw data, and source references in one inspectable thread.
Move from what happened to why it changed, what drove it, and what the business should do next.
Put governed analysis in the browser, Slack, Teams, email, embedded products, APIs, and AI assistants.
Conversational analytics
Helium finds the right data, writes the SQL or Python, builds the chart, and cites the definitions behind it. Inspect the raw rows, edit the logic, download a CSV, or keep investigating in the same multilingual thread.
“Which customer segments are growing fastest—and is the change significant?”
SELECT a.segment, sum(r.arr) AS revenue
FROM revenue r
JOIN accounts a ON a.id = r.account_id
WHERE r.month >= current_date - interval '6 months'
GROUP BY 1 ORDER BY 2 DESC;
Deep Analysis
Approve the investigation plan, let Helium examine the question from every angle, then walk away with the drivers, evidence, and next move.
Expansion revenue investigation
Deep analysis · 18 sources · 42 queries
Approved plan
Segment the decline
Test leading indicators
Quantify causal drivers
Methodology
Cohort decomposition, contribution analysis, seasonality adjustment, and confidence testing.
Primary driver
Activation fell in the mid-market
−14.8%
vs. prior quarter
61%
of decline explained
3
segments affected
High
confidence
Recommendation: prioritize the onboarding handoff for 50–250 seat accounts; modeled upside is $1.2M ARR.
Context Agent
Helium builds and maintains a governed knowledge layer from the systems where your business logic already lives. Every answer starts from the same definitions.
Documents what is missing. Generate table, metric, and glossary documentation.
Finds what disagrees. Surface conflicting logic across models, dashboards, and code.
Learns under review. Route every proposed change through sandbox and human approval.
Conflict found
Review #184
Trusted
context
Net revenue retention
Metric definition · revenue.yml
Automated reports
Schedule a complete written analysis with comparisons, anomaly callouts, and executive files—then ask follow-up questions in the same delivery thread.
Monday GTM brief
Every Monday · 8:00 AM
Pipeline strengthened, but enterprise conversion needs attention.
Qualified pipeline grew 12% week over week. The gain came from mid-market inbound, while enterprise win rate fell 4.2 points as security review time expanded.
Pipeline
$8.4M
+12%
Win rate
24.1%
−4.2pt
Cycle
47d
+6d
GTM-weekly-brief.pptx
12 slides · sources included
Meet every team where they work
Slack
Teams
PowerPoint
Follow-up in thread
“Break down the enterprise delay by security requirement and owner.”
A complete analyst system
Six focused modules work independently and become more powerful together—one shared context, one permission model, one continuous thread of evidence.
Questions become verified answers, charts, editable SQL, Python, and downloadable data.
Multilingual · Follow-ups · CSV export
Review the plan, explore every angle, isolate drivers, and receive an executive-ready recommendation.
Forecasting · A/B tests · Scenarios
Turn weekly, monthly, and executive reviews into recurring narratives with anomaly callouts.
Email · Slack · Teams · PPT · PDF
Import business logic, author missing documentation, catch conflicts, and improve through review.
dbt · Looker · GitHub · BI
Keep every answer inside role, group, row, workspace, and policy boundaries.
RBAC · RLS · SSO · Audit logs
Bring the complete analyst into customer products, internal tools, copilots, and workflows.
Embed · API · MCP · Custom skills
Designed around outcomes
Answer & verify
Natural-language questions, charts, visible SQL and Python, raw data, sources, and CSV export.
Investigate & explain
Plan preview, root-cause analysis, anomaly drill-down, statistics, methodology, and recommendations.
Summarize & deliver
Comparative narratives, anomaly callouts, recurring schedules, files, and threaded follow-up.
Train & align
Metrics, glossary, playbooks, auto-documentation, semantic imports, feedback, and version review.
Govern & segment
RBAC, group access, row filters, workspace isolation, SSO, audit, and shared billing.
Extend & distribute
Embedding, APIs, embedded login, MCP, custom skills, and channel integrations.
Connector fabric
Connect databases, semantic layers, BI, code, files, and delivery channels through one governed fabric. Context flows in; analysis flows out.
Your stack is part of the model—not an afterthought.
Standard SQL connectivity, custom connectors, skills, and APIs keep the platform open.
Platform architecture
A modular foundation connects, understands, reasons, distributes, controls, and extends analytics without breaking the chain of trust.
01
Warehouses, semantic layers, BI, code, and files
02
Metrics, glossary, lineage, playbooks, and definitions
03
Retrieval, SQL, Python, agents, and statistics
04
Browser, chat, email, files, and recurring cadence
05
Roles, groups, rows, SSO, workspaces, and audit
06
Embedding, APIs, skills, connectors, and MCP
Developer & distribution
Helium is not confined to a tab. Embed the complete experience, call it through APIs, give external assistants governed MCP access, or connect operational tools with custom skills.
helium / ask
POST /api/agentic
{
"workspace": "gtm",
"question": "Why did NRR move?",
"deliver_to": ["slack", "email"]
}
// streamed, sourced, permission-aware
{
"status": "investigating",
"run_id": "ana_8k2f"
}Workspaces
Separate users, data connections, context, and permissions for every operating boundary—while the organization keeps one policy and billing control plane.
Helium organization
Global control plane
Promote approved context from sandbox to the workspaces where decisions happen.
Global control plane
Billing, SSO, audit posture, connector policy, model review, and developer credentials.
Finance · GTM · Product
Isolated data, local business logic, team roles, and channel routing for focused decisions.
Board · MBR · Weekly
A decision room for recurring KPI narratives, deep dives, presentations, and follow-up.
Embedded analytics
Per-customer users, branding, entitlements, and data boundaries inside your own product.
Model and review
Generate context, test changes, collect feedback, and promote approved versions to production.
Governance & access
Permissions travel with every question—from the workspace and source, through the generated query, to the chart, export, embedded experience, and audit event.
Permission-aware by design
One question.
The right answer for each person.
Finance
Global revenue
All regions
GTM lead
Pipeline
Assigned region
Customer
Usage
Own tenant
Admins, modelers, members, and viewers get precise capabilities across people, models, and analysis.
Group-based table access and dynamic row filters keep every generated answer inside source permissions.
Separate users, connections, context, delivery routes, and permissions without fragmenting central policy.
Trace questions, generated code, data access, model changes, exports, and administrative events.
Centralize authentication with SSO, group synchronization, embedded user login, and policy inheritance.
Visible SQL and Python, read-only guards, approval workflows, source citations, limits, and timeouts.
Ask better questions
Give every team an analyst that knows the business, shows its work, respects access, and arrives wherever the decision is being made.
Context · Answers · Investigations · Reports · Governance · APIs