Product
Cord, in four steps.
Cord grows businesses by gathering context, orchestrating data, computing deep analysis, and building conviction across the organization.
cord.
May 13, 2026 · 9:46 AM
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Welcome to Cord.
Workspace
Ontology
What should we work on next?
Gather context
Ingest systems, files, and documents into structured data.
- Source-system connectors
- Document and data ingestion
- Schema parsing
- Source sync and materialization
- Pipeline orchestration
- Record-level provenance
cord.pipelineOrchestrate
Map entities, relationships, and cross-system joins into a graph.
- Entity resolution
- Ontology-backed business objects
- Relationship graph modeling
- Cross-system joins
- Governed semantic layer
- Agent-ready context
cord.ontologyEmployeeAccountDealProductIndustryContactActivitySource SystemDocumentCompute
Run queries, models, and simulations across the graph.
- Natural-language query execution
- Multi-hop graph traversal
- Large-scale aggregations
- Predictive and ML models
- Reusable compute functions
- Scenario simulation engines
cord.computeQuestion
128 workersDaily throughput if Line 3 downtime drops by 5%?
Rows scanned
4.20B
Edges traversed
1.24B
Partitions pruned
98.1%
Cache hit
86.0%
Projected · Dec
25.48K units/day
ResolveTraverseAggregateForecastvs Baseline
+3.9%
MarJunSepDecBaselineScenarioGain conviction
Trace outputs, review assumptions, and publish deliverables.
- Answer-level lineage
- Source-backed citations
- Calculation path review
- Assumption audit trails
- Exportable Excel models
- Shareable reports, decks, and PDFs
cord.traceQuestionWhat will FY26 ARR come in at, and what's it based on?
AnswerRenewalsBookingsExpansionChurnTotalTraceFY26 forecast$24.7MProjected ARRRenewals$14.2MBookings$7.8MExpansion$5.1MChurn-$2.4M