Data moves. Meaning drifts.
ETL and ELT move records, but definitions, identity, lineage, and business logic still diverge across teams.
Moby Enterprise
The data stack
rebuilt for your AI strategy.
Connect the enterprise data estate. Govern what agents can see, decide, and do.
SOC 2 Type IIGDPR compliantCCPA compliant
Warehouse-native · Policy-aware · Approval-gated
View Trust Center ↗
The enterprise bottleneck
AI is ready. Enterprise context and control are not.
Critical context is fragmented across data warehouses, ETL pipelines, reverse ETL destinations, documents, systems of record, and institutional knowledge. Without one governed layer, AI sees partial truth and operates outside enterprise controls.
Fragmented data · Brittle pipelines · Manual policy · Disconnected execution
enterprise context / fragmented● uncontrolled
Control lives in people and tickets.
Permissions, exceptions, approvals, and operating policy are scattered across documents, workflows, and individual operators.
Autonomy without context becomes risk.
Without current state and explicit controls, agents can assist, but they should not own consequential work.
The data warehouse belongs inside the control plane.
Moby connects the warehouse, semantic layer, policy context, and agent runtime so the same governed state informs both reasoning and execution.
01ConnectWarehouses, SaaS, and documents
02TransformETL, ELT, and semantics
03GovernIdentity, lineage, and policy
04ActivateReverse ETL and workflows
Enterprise architecture
One control plane from ingestion to execution.
Moby combines the data foundation, semantic transformation layer, and agent runtime. Data stays current, definitions stay aligned, and every workflow can inherit the right context, permissions, and approval path.
Sources → ETL / ELT → Semantic model → Governed action
enterprise stack / three layers● governed
Ingest batch, streaming, event, warehouse, SaaS, and document data without rebuilding the enterprise stack.
Sources / Warehouses · SaaS · operational systems · docsModes / Batch · stream · eventOutput / Observable source dataRun transformations, resolve identity, infer entities and relationships, and keep the business ontology current as schemas change.
Pipelines / ETL · ELT · semantic transformationsControls / Schema · lineage · permissionsOutput / Trusted enterprise contextQuery the business, orchestrate multi-step workflows, and activate results through governed reverse ETL and approved tool calls.
Runtime / Tools · memory · persistent stateControl / Policies · approvals · recoveryOutput / Logged business outcomesConnect the data estate
Keep the architecture you trust.
Connect cloud warehouses, operational databases, systems of record, and business applications into one context layer. Moby works across the existing data estate instead of forcing every team onto a new model.
Warehouses · Databases · SaaS · Event streams · Documents
enterprise connectivity / live● connected
100+Technology partners
60+Native integrations
From warehouse to operational system.
Bring warehouse data, application data, and unstructured business context into one governed model, then push approved results back through reverse ETL and tool execution.
Designed for enterprise estates spanning Snowflake, BigQuery, Databricks, Redshift, Azure Synapse, Postgres, and the operational systems around them.
AdRollAftersellAmazon EUAmazon FEAmazon NAAppLovin
AwinBigCommerceCriteoFairingGoogle AdsGoogle BigQuery
Search ConsoleGoogle SheetsGorgiasImpactKlaviyoKno
LinkedInMetaMicrosoft AdsMNTNOkendoOutbrain
PinterestRakutenRechargeRedditShareASaleShipBob
ShipStationShopifySkioSlackSnapchatSnowflake
StackAdaptStripeTaboolaTikTokWalmartWooCommerce
XYotpo ReviewsYotpo SMS & EmailOmnisendPartnerizeRokt
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Semantic governance
The ontology is the enterprise control layer.
Saber 2 discovers schemas, resolves identity, maps relationships, tracks business state, and compiles reusable definitions. Policy and permission context travel with the data, so every agent reasons from the same governed model.
Schema · Lineage · Identity · Definitions · Permissions · Policy
enterprise_context.graph● policy compiling
Transformations become business context.
Start with raw enterprise data. Saber 2 turns schemas, transformations, identity, relationships, and operating definitions into context Moby can use safely.
01
Discover schemas and lineagesource mapped · crm.accounts
.9902
Resolve enterprise identityentity joined · account_id
.9803
Compile semantic transformationsdefinition versioned · account_health
.9604
Attach policy and permission contextaction path · approval_required
live
Governance persists with the data.
Schema, lineage, history, identity, permissions, policy, and current state stay attached inside the same system Moby uses to plan and execute work.
SchemaLineageIdentityPermissionsPolicy
Controlled execution
Give agents objectives. Keep the enterprise in control.
Moby plans against the governed context layer, calls only the tools available to it, preserves state, routes consequential actions through approval, recovers from failure, and records the result.
Scoped tools · Persistent state · Policy checks · Approval gates · Action history
enterprise agent / revenue operations● policy enforced
01
Query warehouse state and semantic definitionsread access · governed context
running02
Join CRM, product, support, and finance signalsidentity + lineage preserved
running03
Evaluate policy and decision thresholdscontrol rules attached
complete04
Prepare reverse ETL updates and tool actionswrite scope validated
approval05
Execute approved changes and record outcomesdecision + result history
monitoring
One harness. Enterprise controls attached.
Give Moby an objective. It begins with governed warehouse context, then plans the work, checks policy, calls scoped tools, preserves state, waits for approval where required, and reports the result.
ContextSemantic graph
ControlPolicy + approvals
AuditDecision + result history
Enterprise use cases
Make data-heavy functions programmable without bypassing control.
Revenue operations
Enrich and score accounts from governed warehouse context, prepare CRM updates through reverse ETL, and route write actions through approval.
Customer intelligence
Resolve identity across product, support, finance, and CRM while preserving shared definitions, permissions, and relationship history.
Finance and business operations
Reconcile systems, investigate anomalies, apply policy thresholds, generate governed reports, and synchronize approved records.
Marketing operations
Unify performance data, govern campaign workflows, coordinate content, control budget changes, and write approved outputs back to execution systems.
Your internal control layer
Turn institutional knowledge into reusable definitions, policies, approvals, workflows, and agents without hard-coding every exception.
The model is ready. Now the enterprise control plane is too. Context, policy, and execution history stay attached, so AI can work inside the business instead of beside it.
Warehouse → transformations → governed context → approved action → audit
Enterprise data + governance + agents
Build the governed Agentic Data Stack.
Connect the data estate. Let Saber 2 transform raw data into governed enterprise context. Put Moby to work with warehouse access, semantic definitions, policies, permissions, approval gates, and execution controls already attached.