Connect your information
Bring together structured records, documents,
images and industry datasets.
Ask your data.Shape the answer.
Connect your AI model. Explore your information in conversation. Build dashboards, tables, reports and slides around the decisions you need to make.
Interactive illustration. No upload needed.
Your data. Your models. Your view.
“Compare the quarters. Build a report.”
Try the workflowBuilt around your decisions.
Connected AISaved conversationsCustom dashboardsEditable outputs
One conversation.
A workspace of possibilities.
Ask a question. Describe a deliverable. Keep working with the same evidence.
Ask & analyze
Use natural language to explore, compare
and find evidence in your data.
Make the output yours
Turn analysis into tables, reports, dashboards
and slides you can share and build on.
Performance review
Interactive product illustrationrevenue_2024.csv/Rows 2–13
Records behind the comparison
12 illustrative monthly records · USD · original source references
| Month | Revenue | Source reference |
|---|---|---|
| Full year | $534,000 | Rows 2–13 |
Q3: $46,000 + $51,000 + $48,000 = $145,000. Q4: $60,000 + $66,000 + $72,000 = $198,000.
Q4 revenue is $53,000 higher than Q3 in the supplied sample.
Quarter comparison
Q3$145,000Q4$198,000Difference+$53,000
Calculation and source
Q3 combines July, August and September. Q4 combines October, November and December. The difference is $198,000 − $145,000 = $53,000.
revenue_2024.csv · Q3 rows 8–10 · Q4 rows 11–13
Review before sharing
These are illustrative monthly records. They show an observed comparison and do not establish its cause or a forecast.
Edit the report title to try a local change. This illustration does not save a product workspace.
Q4 is $53,000 higher.
Q3: $145,000. Q4: $198,000. The comparison uses the same twelve monthly records as the dashboard and report.
Sample presentation preview. In the product, export editable PowerPoint from the saved analysis.
Explore the sample. The product connects to your configured model and saved workspace.
Define your measures
Choose the metrics, time periods and filters
that matter to your work.
Customize your dashboard
Switch views, adjust settings and spotlight
the insights you need.
Keep work reusable
Save and refine your analysis, then turn it into
reports and slides.
Your models.
Your choice.
Use local AI, approved hosted providers or eligible personal connections. Choose how assistance fits your organization.
Source-based calculations remain available with AI off.
Run assistance close to your data.
Connect a supported local runtime. Choose an available model and keep inference in your configured local environment.
LM Studio · Ollama · vLLM · Docker Model Runner
Choose the connection
Company defaults or eligible personal connections.
Approve data sharing
Hosted assistance requires permission and classification checks.
Review the answer
Source references, coverage and calculations stay available.
Connections depend on runtime, provider and installation configuration.
Insight is useful.
Evidence makes it actionable.
Explore a transparent example: the records, the calculation and the next question to ask.
01 / Connect the records
Work. Rates. Invoices.
02 / Find the signal
A billing gap worth reviewing.
03 / Follow the evidence
An answer you can inspect.
Trace the finding to its sample sources and review the calculation for yourself.
The records behind the finding
Illustrative sample inputs
| Sample source | Source detail |
|---|
Your questions go beyond these examples.
Different industries.
The same need for clarity.
The context changes. The need to understand your information does not.
Shape analysis around your measures, terminology, time periods and evidence. These examples are starting points, not product boundaries.
Bring the information your industry works with: structured records, documents, images, scans and mixed-format datasets. Source suitability is reviewed for each workflow.
Bring us your use case01Finance & operations
Reconcile revenue and costs, compare periods and investigate performance with the underlying records in view.
Revenue, cost and performance analysis02Education & research
Compare institutional data, research records and peer groups. Keep cohort definitions, time periods and source coverage visible when interpreting results.
Benchmarking and research analysis03Healthcare & life sciences
Explore service activity, resource use and research datasets. Bring operational records and supporting documents into a connected view for review.
Operational and research insights04Manufacturing & supply chain
Examine production, quality, inventory and supplier records. Compare measures across sites and periods, then document the evidence behind operational patterns.
Production, quality and supply analysis05Retail & services
Connect sales, customer activity, inventory and service records. Explore patterns by category, location and period, and turn the findings into reports your team can use.
Sales and service performance06Energy & public services
Analyze consumption, asset records, project activity and public datasets. Compare performance in context and communicate findings with traceable sources.
Resource and program analysis07Your industry. Your use case.
Bring the data and questions that define your work. Shape analysis around your measures, terminology, time periods and evidence, across supported sources and industry-specific information.
Explore your industry-specific workflowIntelligence with accountability.
Control the environment. Understand the evidence. Choose how AI helps.
Private company workspaces
Self-hosted company spaces, scoped roles and sign-in controls help your team manage who can view, edit and export.
Traceable by design
Preserved sources, calculation references, version history and recorded output provenance support review and reproducible deterministic exports.
Repeatable work, reviewed updates
Save conversations and layouts, pin useful analyses, and approve changed sources before applying a folder refresh.
A working foundation. A focused next chapter.
Explore implemented workflows, agree a pilot with your team, and help shape what comes next.
In the product
- AI chat and saved conversations
- Custom metrics, dashboards and pinned analyses
- Editable documents and exportable slides
- OCR review, playbooks and reviewed folder refresh
Customer pilot priorities
- Your industry, measures and source context
- Calculation agreement and source coverage
- Dashboard and export usability
- Repeatable review with your team
Next milestones
- Validated forecasting
- Broader data integrations
- Additional industry playbooks
- Deployment acceptance at scale
Back the workspace.Build the next advantage.
A shared analysis foundation. Industry-specific opportunities. Tangible pilot outcomes.
A recurring problem
Teams move between scattered files, chat tools and reporting systems before they can act.
A connected product
Conversation, calculated analysis and editable deliverables in one source-linked workflow.
A focused expansion path
Validate the core workflow, then deepen industry playbooks and integrations.
For customers
Bring one business question and a representative dataset. Explore a dashboard, evidence and a deliverable your team can review.
For investors
Explore the working product, the reusable analysis foundation and the milestones needed to validate customer value.
For sponsors
Support a scoped industry workflow with agreed review criteria and concrete dashboard, report or slide deliverables.
Possible pilot criteria: source coverage, calculation agreement, review effort and export usability.
In active development. Pilot scope and delivery criteria are agreed together.
Read the product brief