Context Intelligence Layer

Knows what your data means, and how work gets done.

A record says what happened. Context says what to do next. Genloop builds it into a Living Context Graph for every agent and app.

receipts.qty ap.invoices Data 2% short-ship rule AP playbook Processes past exceptions credit in 10 days Decisions AP owner tom approves > $25K People RECORD INV 88213 $41,200 · 920/1,000
receipts.qty ap.invoices Data 2% short-ship rule AP playbook Processes past exceptions credit in 10 days Decisions AP owner tom approves > $25K People RECORD INV 88213 $41,200 · 920/1,000

Beyond the record

Same invoice. Now the agent knows what to do.

Same invoice. Now the agent knows what to do.

Data tells the agent what's on the invoice. Context tells it the rules, who approves and what to do next.

DATA ONLYRows onlyap.invoicesInvoiceINV 88213Amount$41,200Received920 / 1,000Can we pay this today??I can see the rows. The policy, who approves andlast time's outcome live somewhere else.MISSING CONTEXT?Policy?Approver?HistoryNo decision
DATA ONLYRows onlyap.invoicesInvoiceINV 88213Amount$41,200Received920 / 1,000Can we pay this today??I can see the rows. The policy, who approves andlast time's outcome live somewhere else.MISSING CONTEXT?Policy?Approver?HistoryNo decision
DATA ONLYRows onlyap.invoicesInvoiceINV 88213Amount$41,200Received920 / 1,000Can we pay this today??I can see the rows. The policy, who approves andlast time's outcome live somewhere else.MISSING CONTEXT?Policy?Approver?HistoryNo decision
DATA + CONTEXT3 linksap.invoicesInvoiceINV 88213Amount$41,200Received920 / 1,000From the Living Context GraphRule2% short-ship toleranceApproverTom approves over $25KHistoryCredit usually lands in ~10 daysPay 92%, hold 8%, route to Tom.Policy, approver and history applied.Pay $37,904
DATA + CONTEXT3 linksap.invoicesInvoiceINV 88213Amount$41,200Received920 / 1,000From the Living Context GraphRule2% short-ship toleranceApproverTom approves over $25KHistoryCredit usually lands in ~10 daysPay 92%, hold 8%, route to Tom.Policy, approver and history applied.Pay $37,904
DATA + CONTEXT3 linksap.invoicesInvoiceINV 88213Amount$41,200Received920 / 1,000From the Living Context GraphRule2% short-ship toleranceApproverTom approves over $25KHistoryCredit usually lands in ~10 daysPay 92%, hold 8%, route to Tom.Policy, approver and history applied.Pay $37,904

Four kinds of context. Linked in one graph.

Data

Genloop maps your tables, columns and relationships the moment you connect.

Processes

KPI definitions, playbooks and policies live in Context Hub, and agents follow them on each answer.

Decisions

Each correction your experts approve is kept in Business Memory and applied to future answers.

People

Genloop knows who owns a metric and who approves a payment, so work reaches the right person.

Why it works

One context layer. Four things it changes.

Built once for your product, mapped onto each customer, with sources on every answer.

Each customer live in ~3 daysCustomer ASnowflake · SAPIsolatedMappingCustomer BDatabricks · SalesforceIsolatedQueuedCustomer CPostgres · Air-gappedIsolatedQueuedProduct contextBuilt once · ~2 weeksData modelKPI definitionsRulesPlaybooks
Each customer live in ~3 daysCustomer ASnowflake · SAPIsolatedMappingCustomer BDatabricks · SalesforceIsolatedQueuedCustomer CPostgres · Air-gappedIsolatedQueuedProduct contextBuilt once · ~2 weeksData modelKPI definitionsRulesPlaybooks

Built for software companies

Your product's knowledge. Each customer's reality.

Capture your product's context once, then map each customer on top, inside their environment. Teams start in minutes, and customers go live in about 3 days.

Each customer live in ~3 daysCustomer ASnowflake · SAPIsolatedMappingCustomer BDatabricks · SalesforceIsolatedQueuedCustomer CPostgres · Air-gappedIsolatedQueuedProduct contextBuilt once · ~2 weeksData modelKPI definitionsRulesPlaybooks

Built for software companies

Your product's knowledge. Each customer's reality.

Capture your product's context once, then map each customer on top, inside their environment. Teams start in minutes, and customers go live in about 3 days.

Each customer live in ~3 daysCustomer ASnowflake · SAPIsolatedMappingCustomer BDatabricks · SalesforceIsolatedQueuedCustomer CPostgres · Air-gappedIsolatedQueuedProduct contextBuilt once · ~2 weeksData modelKPI definitionsRulesPlaybooks

Built for software companies

Your product's knowledge. Each customer's reality.

Capture your product's context once, then map each customer on top, inside their environment. Teams start in minutes, and customers go live in about 3 days.

Connected in place

Your data stays put. Genloop reads it where it lives.

Genloop connects to the warehouses, databases, business apps and documents you already run. One answer can draw on a table, a contract and a policy at once. Your sources stay the source of truth.

SnowflakeWarehouseDatabricksLakehouseBigQueryWarehousePostgreSQLDatabaseSalesforceBusiness appDocumentsContracts, policies
SnowflakeWarehouseDatabricksLakehouseBigQueryWarehousePostgreSQLDatabaseSalesforceBusiness appDocumentsContracts, policies
SnowflakeWarehouseDatabricksLakehouseBigQueryWarehousePostgreSQLDatabaseSalesforceBusiness appDocumentsContracts, policies
Agent answer4 sourcesPay $37,904 now and hold $3,296 until the short-ship12 credit posts. Routed to Tom for approval.34 1Tableap.invoices, ap.receipts2RuleAP policy §4.2, short-ship3DocOakline supplier agreement4PersonTom, approves over $25KSELECT i.amount, r.qty FROM ap.invoices iQuery shown
Agent answer4 sourcesPay $37,904 now and hold $3,296 until the short-ship12 credit posts. Routed to Tom for approval.34 1Tableap.invoices, ap.receipts2RuleAP policy §4.2, short-ship3DocOakline supplier agreement4PersonTom, approves over $25KSELECT i.amount, r.qty FROM ap.invoices iQuery shown

Traceable by design

Every answer shows where it came from.

Each answer lists the tables, documents, rules and people it drew on, along with the query behind it. Reviewers can check the reasoning before anyone acts on it. Trust you can trace.

Agent answer4 sourcesPay $37,904 now and hold $3,296 until the short-ship12 credit posts. Routed to Tom for approval.34 1Tableap.invoices, ap.receipts2RuleAP policy §4.2, short-ship3DocOakline supplier agreement4PersonTom, approves over $25KSELECT i.amount, r.qty FROM ap.invoices iQuery shown

Traceable by design

Every answer shows where it came from.

Each answer lists the tables, documents, rules and people it drew on, along with the query behind it. Reviewers can check the reasoning before anyone acts on it. Trust you can trace.

Agent answer4 sourcesPay $37,904 now and hold $3,296 until the short-ship12 credit posts. Routed to Tom for approval.34 1Tableap.invoices, ap.receipts2RuleAP policy §4.2, short-ship3DocOakline supplier agreement4PersonTom, approves over $25KSELECT i.amount, r.qty FROM ap.invoices iQuery shown

Traceable by design

Every answer shows where it came from.

Each answer lists the tables, documents, rules and people it drew on, along with the query behind it. Reviewers can check the reasoning before anyone acts on it. Trust you can trace.

Published at CIKM 2026

Structured context. More accurate and cheaper to run.

Agents pull established context from the graph instead of exploring the database on each question. In our CIKM 2026 paper, that raised accuracy 22.6 points and cut serving cost 2.3 to 3.3x.

+22.6pts accuracy2.3–3.3×lower serving cost1.8–3.4×lower latencyAccuracy, correct on all 7 runsInternal experimentAgent on raw database16%+ semantic layer40%Full Genloop stack93.3%Internal study: 3 databases, 146 held-out questions, vs graph-disabled retrieval.
+22.6pts accuracy2.3–3.3×lower serving cost1.8–3.4×lower latencyAccuracy, correct on all 7 runsInternal experimentAgent on raw database16%+ semantic layer40%Full Genloop stack93.3%Internal study: 3 databases, 146 held-out questions, vs graph-disabled retrieval.

Published at CIKM 2026

Structured context. More accurate and cheaper to run.

Agents pull established context from the graph instead of exploring the database on each question. In our CIKM 2026 paper, that raised accuracy 22.6 points and cut serving cost 2.3 to 3.3x.

+22.6pts accuracy2.3–3.3×lower serving cost1.8–3.4×lower latencyAccuracy, correct on all 7 runsInternal experimentAgent on raw database16%+ semantic layer40%Full Genloop stack93.3%Internal study: 3 databases, 146 held-out questions, vs graph-disabled retrieval.

Published at CIKM 2026

Structured context. More accurate and cheaper to run.

Agents pull established context from the graph instead of exploring the database on each question. In our CIKM 2026 paper, that raised accuracy 22.6 points and cut serving cost 2.3 to 3.3x.

+22.6pts accuracy2.3–3.3×lower serving cost1.8–3.4×lower latencyAccuracy, correct on all 7 runsInternal experimentAgent on raw database16%+ semantic layer40%Full Genloop stack93.3%Internal study: 3 databases, 146 held-out questions, vs graph-disabled retrieval.

How it works

Build once. Activate every customer.

  1. 01
    ~2 weeks · once

    Capture your product

    Your data model, KPI definitions and playbooks become reviewed product context in Context Hub.

  2. 02
    ~3 days · per customer

    Activate each customer

    Their systems, policies and people are mapped on, inside their environment.

  3. 03
    any agent or app

    Power the work

    Your agents, any agent through MCP or API, and apps built in App Studio read from the same context.

  4. 04
    continuous

    Keep it right

    Experts approve corrections in Review Center, and Business Memory carries them forward.

4 Layers of context

Data

Genloop maps your tables, columns and relationships the moment you connect.

Processes

KPI definitions, playbooks and policies live in Context Hub, and agents follow them on each answer.

Decisions

Each correction your experts approve is kept in Business Memory and applied to future answers.

People

Genloop knows who owns a metric and who approves a payment, so work reaches the right person.