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Start with a customer, your sales data, or work you have already saved.
Create a customer workspace, tell Sagacium what you are trying to accomplish, and build an evidence-backed customer brief.
Research what is happening at a customer, connect it to what you sell, and turn public evidence into commercial hypotheses, questions, and next actions.
Sagacium rolls up the customer workspaces you already have into a focused coaching and execution view. No extra reporting layer and no additional AI request.
Accounts are ranked from existing workspace state. Blocked execution, overdue commitments, new evidence, and missing follow-through rise first.
Drop a CSV or Excel file. Sagacium's AI will read the file, decide what is worth showing, and generate six charts automatically.
CSV or XLSX, up to 8 MB. The AI chooses the analytical ideas; Sagacium calculates the chart values from the source data.
Choose fileWorkspaces are the persistent layer that future research, analytics, planning, and saved outputs will build on.
Only pay when you need AI. Add credit when it suits you, then use it across your workspaces. No subscription required.
Sagacium keeps your balance in USD. Stripe can show and charge the current local-currency equivalent at checkout.
Costs are calculated after each request from input, cached, and output tokens plus any paid tools. There is no fixed price per action.
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Automatically add funds when your balance runs low.
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Manage how Sagacium works for you, your company, and your usage.
Your sales role, customer focus, and workspace preferences.
Enablement on demand, organized around your customers and work.
Give Sagacium context about what you sell, so customer research makes sense for your business.
Your organization, products, and customer problems.
Pay for the AI you use. Every request has its own metered cost based on tokens and tools.
Balance, usage by request, spending limit, and wallet activity.
Return to the latest enablement ideas and articles.
End your session on this device.
See where things stand and what deserves your attention.
See what is current, what needs attention, and what to do next.
Reviewing current public sources, identifying relevant developments, and connecting the evidence to your objective.
Tell Sagacium what kind of meeting you are having and what you want to accomplish. It will automatically use the strongest current evidence in this customer workspace.
These are conversation hypotheses derived from the current account evidence. Use the meeting to validate or reject them.
These are hypotheses based on public evidence and the context you provided. They are not claims about confirmed customer need or buying intent.
The AI will read the spreadsheet and choose six useful sales charts. Sagacium will calculate the actual plotted values from the source data.
Choose CSV or XLSXThe AI is reading the file and choosing the most useful analytical views. Sagacium will calculate each chart from the source data.
No prompting is required. Lock a chart to preserve it. Try Again asks the model for a different analytical idea while locked charts stay untouched.
Sagacium does not store the raw CSV or Excel file. Your saved dashboard remains available, but Try Again needs the same source file during the current session.
The AI selects what to analyze and how to visualize it. The plotted values are independently calculated from the uploaded CSV or Excel file rather than copied from the model's response.
Sagacium can connect the public customer research with your internal sales dashboard and surface the observations that become more useful when both are considered together.
Looking for evidence-backed relationships across the customer research and your saved sales dashboard.
These are evidence-backed observations and hypotheses, not claims of confirmed customer need or buying intent.
Sagacium can use the current customer research, sales dashboard, and What this means synthesis to identify a focused set of commercial opportunities worth validating.
Testing the evidence for whitespace, cross-sell, expansion, decline, concentration, retention, and timing signals.
These are evidence-backed hypotheses to validate. They are not confirmed customer needs, buying intent, budgets, or deal forecasts.
Sagacium will prepare an editable starting point from the work already in this customer workspace. You define the objective, review the evidence-backed sections, and decide what belongs in the plan.
Leadership-ready view of the seller-owned strategy.
The starting point comes from saved account evidence, but every section is yours to edit. Evidence links stay visible only while the supported wording still matches. Sagacium will not silently rewrite a saved plan when the account evidence changes.
Sagacium found account evidence that is newer than the last evidence you reviewed for this plan. Review the changes, then decide whether the plan itself should change.
Keep this lightweight: what needs to happen, who owns it, and where it stands. Completing an action does not automatically confirm a growth hypothesis or rewrite the account strategy.
These come from the Account Plan. Add only the ones you want to actively track.
Future Sagacium outputs will save here so you can continue the work instead of starting over each time.
This changes what Sagacium prioritizes for you. It does not lock any features.
Give the work a name. You can add intelligence and analysis as those capabilities roll out.
Sagacium will use the saved customer research and the context below. It will not run another web search.
This becomes the commercial lens for Customer Intelligence. You can update it whenever your role, portfolio, or focus changes.
Payment details stay with Stripe. Sagacium adds USD credit after payment is confirmed.
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