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MoBagel

Also known as: Decanter AI, C-Suites AI Builder, AI Audience, DataEase

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Agent builderindependentVerified 2026-07-07

Agentic business intelligence builder whose C-Suites AI Builder and Decanter AutoML engine let enterprise data teams create and scale pre-trained agents for reporting, forecasting, and workflow automation across marketing, finance, supply chain, and manufacturing.

MoBagel is a Silicon Valley company based in Santa Clara, founded by innovators from Stanford and UC Berkeley with a team drawing on Stanford, UC Berkeley, and Oxford, that builds enterprise grade agentic AI for business intelligence. Its flagship C-Suites AI Builder enables data teams to create and scale agents that deliver end to end intelligence through three coordinated layers, Report AI for real time reporting, Decision AI for guiding strategy, and Action AI for triggering automated workflows. Underneath sits Decanter AI, a no code AutoML platform containing more than one hundred machine learning algorithms plus automatic time series forecasting, which lets data scientists, domain experts, and business stakeholders build, test, and deploy accurate models through an intuitive interface. MoBagel has been recognized by Gartner as a representative AI vendor for five consecutive years, was named a key AI/ML platform vendor in Gartner's Top Ten Strategic Tech Trends for 2020 report, and reports more than eleven thousand brands empowered, with customers including SoftBank, Advantech, AU Optronics, New Balance, and Coca Cola.

The platform ships pre-trained vertical agents. The Marketing AI Agent, built around the AI Audience product, unifies the funnel with creative intelligence, machine learning audience targeting, and churn to upsell prediction, monitoring traffic, conversions, and key metrics on a unified dashboard; a cosmetics brand case study reports cost per acquisition cut by forty two percent with tripled ad spend. The Finance AI Agent unifies financial data, predicts overdue payments and uncollectible accounts, and runs an early warning system that automatically reminds stakeholders. The Supply Chain AI Agent strengthens demand forecasting, with a logistics case study reporting forecast accuracy lifted from sixty to ninety percent, and the Manufacturing AI Agent predicts equipment failures for proactive maintenance. MoBagel is a Qualcomm strategic partner for AI inference and has collaborated with Fujitsu, whose Kozuchi research technology is used in Decanter AI.

MoBagel sits at the agent builder and data analyst layer, turning enterprise data into decisions and automated actions, and it works through a co-creation and co-deployment model with partner companies that bring domain expertise. It offers a documented API and a public Python SDK for Decanter. It is a strong fit for enterprises that want outcome focused, pre-trained vertical agents grounded in their own operational data, and a weaker fit for teams seeking open LLM choice, a self hosted deployment, or deep agent-level governance tooling, none of which are documented.

Vendor details

Canonical URL

https://www.mobagel.com

Category

Agent builder

Subcategory

Agentic business intelligence

Funding status

Independent, headquartered in Santa Clara, California, founded by Stanford and UC Berkeley innovators. MoBagel announced twenty one million dollars in total funding through a Series A plus round, with Accelera AI Capital among its investors per Crunchbase, and is a Qualcomm strategic partner for AI inference. Gartner has recognized it as a representative AI vendor for five consecutive years, and it reports more than eleven thousand brands using its platform, including SoftBank, Advantech, AU Optronics, New Balance, and Coca Cola.

Company status

independent

Use cases & customers

Primary use cases

Agentic business intelligence and reportingDemand and financial forecastingMarketing audience targeting and ad spend optimizationPredictive maintenance

Target customers

Enterprise data teamsMarketing, finance, and supply chain teamsManufacturersBusiness stakeholders and domain experts

Deployment options

Cloud

Integrations

MoBagel unifies data from various channels and systems into its agents and dashboards, with the Marketing AI Agent integrating multi-channel campaign data and the Finance AI Agent unifying financial data across systems. Decanter AI offers a documented API and a public Python SDK for uploading data, running customized experiments, and retrieving predictions. The platform is powered by Qualcomm AI inference through a strategic partnership, and Fujitsu's Kozuchi AI research technology is incorporated in Decanter AI.

In practice

A consumer brand needs to lift return on ad spend. MoBagel's Marketing AI Agent identifies the best audiences with machine learning and optimizes creative, with one cosmetics customer cutting cost per acquisition by forty two percent while tripling spend.

A finance team wants to catch overdue accounts before they become losses. MoBagel's Finance AI Agent unifies financial data, predicts risky receivables, and automatically reminds stakeholders through its early warning system.

A global logistics operator struggles with volatile demand. MoBagel lifts demand forecasting accuracy from sixty to ninety percent, cutting inventory cost across the network.

Capability coverage

7.5 / 14 capabilities · 54%

Integrations & Tool CallingAgents unify data from various channels and financial data across systems onto unified dashboards, but specific named connectors are not documented, mobagel.com and us.mobagel.com retrieved 2026-07-07 Partial
Workflow OrchestrationC-Suites AI Builder creates and scales agentic AI through coordinated Report AI, Decision AI, and Action AI layers that provide reports, guide strategy, and trigger automated workflows, mobagel.com retrieved 2026-07-07 Full
Knowledge Grounding & RAGAgents and models are grounded in the customer's own business data, uploaded and unified for training and forecasting, though document retrieval is not the focus, mobagel.com and Decanter SDK docs retrieved 2026-07-07 Partial
Human Oversight & GuardrailsDecision AI guides risk strategies and production choices for human decision makers and the Finance agent reminds stakeholders through an early warning system, but explicit approval controls are not documented, mobagel.com retrieved 2026-07-07 Partial
Security, Identity & GovernanceEnterprise deployments with customers like SoftBank and Coca Cola imply enterprise SaaS maturity, and MoBagel maintains an open source SSO project, but concrete certifications and governance features are not documented, mobagel.com and GitHub retrieved 2026-07-07 Partial
Observability & AuditabilityUnified dashboards monitor traffic, conversions, key marketing metrics, and manufacturing operations, but agent level tracing and auditability are not documented as first class, us.mobagel.com retrieved 2026-07-07 Partial
Memory & State PersistenceNo dedicated agent memory or state persistence capability is documented, mobagel.com retrieved 2026-07-07 Unable to verify
Deployment & Data ResidencyDelivered as cloud SaaS with a co-deployment partner model, and the Qualcomm partnership supports efficient AI inference including on device options, though self hosted or residency options are not documented, mobagel.com and blog retrieved 2026-07-07 Partial
Prebuilt Agents, Templates & PacksShips pre-trained AI agents for marketing, finance, supply chain, and manufacturing that customers apply directly to automate tasks, us.mobagel.com ai-agent page retrieved 2026-07-07 Full
Triggers & Channel CoverageThe Finance agent runs an early warning system with automatic stakeholder reminders and Action AI triggers automated workflows, though broad channel coverage is not documented, mobagel.com retrieved 2026-07-07 Partial
Model Flexibility & RoutingDecanter AutoML selects among more than one hundred machine learning algorithms with automatic time series forecasting, and Fujitsu Kozuchi technology is incorporated, a form of model flexibility though not customer LLM routing, LinkedIn profile and blog retrieved 2026-07-07 Partial
APIs, SDKs & MCP ExtensibilityDecanter AI offers a documented API and a public Python SDK on GitHub for uploading data, running customized experiments, and retrieving predictions, github.com/MoBagel and SourceForge listing retrieved 2026-07-07 Full
Testing, Debugging & OptimizationDecanter enables rapidly building, testing, and deploying models, and the SDK supports customized experiments on uploaded data, a model evaluation surface rather than an agent evaluation harness, LinkedIn profile and SDK docs retrieved 2026-07-07 Partial
Browser & Computer UseNo browser or computer use capability is described, mobagel.com retrieved 2026-07-07 Unable to verify

Recent platform changes

No recent material changes tracked yet.

Pricing

Not public; sold through enterprise sales and a co-deployment partner model, quoted by scope

enterprise subscription, believed scaled to agents, data volume, and deployment scope

Contact onlyMedium variable cost

What is public

No list prices or entry point are published. The product suite, pre-trained vertical agents, and the co-creation and co-deployment partner model are public, but pricing is not.

Billing mechanics

Presumed enterprise subscription negotiated with sales, often delivered through co-creation and co-deployment with partner companies bringing domain expertise, so contracts may bundle platform and deployment services.

Cost watchouts

Expanding from one vertical agent to several, or adding partner led deployment services, may raise total cost beyond an initial platform quote.

Variable cost rationale

Scope likely scales with the number of vertical agents deployed, data volume, and co-deployment services, so cost can grow with adoption across marketing, finance, supply chain, and manufacturing, though pricing is negotiated rather than metered on usage.

Additional watchouts

Confirm how pricing scales across the vertical agents and whether co-deployment partner services carry separate cost from the platform subscription.

Sales call required

Yes — required for paid access

Free / trial

No public free tier; contact and demo led

Key ambiguities

Whether platform subscription and co-deployment services are priced together or separately.

Missing data

No public anchor for entry price, billing unit, or contract structure.

Verified 2026-07-07

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