Context Intelligence Layer

Context Intelligence Layer

Knows what your data means, and how work gets done

Knows what your data means, and how work gets done

Knows what your data means, and how work gets done

Knows what your data means, and how work gets done

A record says what happened. Context says what to do next. Genloop builds both into one Living Context Graph that every agent works from.

A record says what happened. Context says what to do next. Genloop builds both into one Living Context Graph that every agent works from.

A record says what happened. Context says what to do next. Genloop builds both into one Living Context Graph that every agent works from.

Beyond the record

Same dispute. Now the agent knows what to do.

Same dispute. Now the agent knows what to do.

Data tells the agent whatโ€™s on the card statement. Context tells it the playbook rule, the deadline and who approves the credit.

Data tells the agent whatโ€™s on the card statement. Context tells it the playbook rule, the deadline and who approves the credit.

Data tells the agent whatโ€™s on the card statement. Context tells it the playbook rule, the deadline and who approves the credit.

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.

4 Layers of context

Data

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

Processes

Policies, playbooks and timelines like Reg E 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 process and who approves a credit, so work reaches the right person.

Why it works

One context layer. Four things it changes.

One context layer. Four things it changes.

Built once for your institution, shared by each agent, with sources on every answer.

Built once for your institution, shared by each agent, with sources on every answer.

Built once for your institution, shared by each agent, with sources on every answer.

Each customer live in no timeCustomer ASnowflake · SAPIsolatedLiveCustomer BDatabricks · SalesforceIsolatedLiveCustomer CPostgres · Air-gappedIsolatedLiveProduct contextBuilt once · ~2 weeksData modelKPI definitionsRulesPlaybooks

Built for your institution

One context. Every agent works from it.

Connect your systems once, inside your environment, and each agent shares the same context. A new agent for a new job starts with everything the others already know.

Each customer live in no timeCustomer ASnowflake · SAPIsolatedLiveCustomer BDatabricks · SalesforceIsolatedLiveCustomer CPostgres · Air-gappedIsolatedLiveProduct contextBuilt once · ~2 weeksData modelKPI definitionsRulesPlaybooks

Built for your institution

One context. Every agent works from it.

Connect your systems once, inside your environment, and each agent shares the same context. A new agent for a new job starts with everything the others already know.

Each customer live in no timeCustomer ASnowflake · SAPIsolatedLiveCustomer BDatabricks · SalesforceIsolatedLiveCustomer CPostgres · Air-gappedIsolatedLiveProduct contextBuilt once · ~2 weeksData modelKPI definitionsRulesPlaybooks

Built for your institution

One context. Every agent works from it.

Connect your systems once, inside your environment, and each agent shares the same context. A new agent for a new job starts with everything the others already know.

Connected in place

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

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

Genloop connects to your core banking system, processor files, ledger, policies and email. One answer can draw on a transaction, a contract and a policy at once. Your systems stay the source of truth.

Genloop connects to your core banking system, processor files, ledger, policies and email. One answer can draw on a transaction, a contract and a policy at once. Your systems stay the source of truth.

Genloop connects to your core banking system, processor files, ledger, policies and email. One answer can draw on a transaction, a contract and a policy at once. Your systems 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 records, 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 records, 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 records, 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.

Built for accuracy

Structured context. More accurate and cheaper to run.

Agents pull established context from the graph instead of exploring the database on each question. Answers get more accurate, and each one costs less to serve.

+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.

Built for accuracy

Structured context. More accurate and cheaper to run.

Agents pull established context from the graph instead of exploring the database on each question. Answers get more accurate, and each one costs less to serve.

+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.

Built for accuracy

Structured context. More accurate and cheaper to run.

Agents pull established context from the graph instead of exploring the database on each question. Answers get more accurate, and each one costs less to serve.

+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

Connect once. Add an agent for each job.

Connect once. Add an agent for each job.

  1. 01

    Connect your systems

    Core banking, processor files, the ledger, policies and email connect in place, inside your environment.

  2. 02

    Build the context

    Your rules, playbooks and owners become reviewed context in Context Hub.

  3. 03

    Power each agent

    Disputes, billing, ACH, compliance and reporting agents read from the same context, by email, Teams or API.

  4. 04

    Keep it right

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

See it on a real workflow.