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SnapLogic

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Agent builderindependentVerified 2026-07-07

Enterprise iPaaS repositioned as the Agentic Integration Company, letting teams build and run low-code LLM agents on top of thousands of prebuilt connectors, with MCP support and hybrid deployment.

SnapLogic is a mature enterprise integration platform that has repositioned itself as the Agentic Integration Company, letting teams build and run AI agents on top of the same platform that connects their applications, data, and APIs. Founded in 2006 in San Mateo by Gaurav Dhillon, who previously co founded and led Informatica, the company raised about three hundred eighty one million dollars across a dozen rounds, reaching a one billion dollar valuation with a one hundred sixty five million dollar Series G in December 2021 led by Sixth Street Growth, backed by Andreessen Horowitz, Microsoft, and others. It surpassed one hundred million dollars in annual recurring revenue in 2025, when founder Dhillon moved to chairman and Brad Stewart became chief executive, and it processes trillions of records a month for customers including AstraZeneca, Adobe, Verizon, and Sony.

SnapLogic was an early mover in applying AI to integration, shipping the Iris assistant in 2017 and the SnapGPT generative integration copilot in 2023, and it now centers on AgentCreator, a low code tool that lets lines of business build and deploy large language model powered agents in hours rather than weeks of Python work. Because those agents sit on the full integration platform, they can act across enterprise systems using thousands of prebuilt connectors called Snaps, orchestrate multi step workflows, and ground themselves in enterprise data. In late 2025 the company added native Model Context Protocol support, expanded enterprise AI governance, and pushed to make agents production ready, reporting that more than twenty percent of new and expansion sales are now tied to AI and agentic integration.

A key strength is deployment flexibility: SnapLogic can run its execution engine behind a firewall, in public clouds, or in a mix, so enterprises can meet residency and compliance needs while keeping one consistent platform. It is model flexible through its LLM based agent building and MCP support, though a dedicated agent evaluation surface and persistent agent memory are less prominent than its integration and governance strengths. For a large enterprise that already needs serious integration and wants to build governed AI agents on the same governed platform rather than bolting on a separate agent tool, SnapLogic is a category leading option; a small team wanting a quick standalone chatbot will find it more platform than they need.

Vendor details

Canonical URL

https://www.snaplogic.com

Category

Agent builder

Subcategory

Agentic integration and agent builder

Funding status

Independent, headquartered in San Mateo, California, founded in 2006 by Gaurav Dhillon, co founder and former chief executive of Informatica, with Mike Pittaro. Raised about three hundred eighty one million dollars across roughly a dozen rounds, reaching a one billion dollar valuation with a one hundred sixty five million dollar Series G in December 2021 led by Sixth Street Growth, and backed by Andreessen Horowitz, Ignition Partners, Microsoft, and Capital One Ventures. Surpassed one hundred million dollars in annual recurring revenue in 2025, when Dhillon became chairman and Brad Stewart took over as chief executive, and it serves thousands of customers including AstraZeneca, Adobe, Verizon, and Sony.

Company status

independent

Use cases & customers

Primary use cases

low-code AI agent buildingenterprise data and application integrationagentic workflow automationAPI management and legacy modernization

Target customers

enterprisemid-market

Deployment options

SaaScloudhybridon premise

Integrations

Connects cloud applications, on premise business software, databases, data warehouses, and APIs through thousands of prebuilt connectors called Snaps, with API management and hybrid execution. AgentCreator builds LLM powered agents on top of that fabric, and native Model Context Protocol support lets agents interoperate with the wider AI ecosystem.

In practice

Your lines of business want AI agents but every idea gets stuck waiting on Python developers. SnapLogic's AgentCreator lets finance, HR, or marketing build and deploy an LLM powered agent in hours using low code.

An agent is only useful if it can act across your real systems. Because SnapLogic agents run on its integration platform, they reach thousands of prebuilt connectors to move data and take action across cloud and on premise apps.

You need AI agents but compliance requires data to stay in specific environments. SnapLogic can run its engine behind your firewall or across clouds, with enterprise AI governance, so agents operate within your controls.

Capability coverage

12.0 / 14 capabilities · 86%

Integrations & Tool CallingA core iPaaS with thousands of prebuilt connectors called Snaps spanning cloud apps, on premise software, databases, data warehouses, and APIs for agents to act on, SnapLogic docs 2026-07-07 Full
Workflow OrchestrationOrchestrates multi step data pipelines, process automation, and agent driven workflows across cloud and on premise environments through visual and agentic design, SnapLogic docs 2026-07-07 Full
Knowledge Grounding & RAGAgentCreator combines data and application integration with generative AI so agents ground themselves in enterprise data, and MCP support brings additional context to agents, SnapLogic docs 2026-07-07 Full
Human Oversight & GuardrailsAgents are designed low code by humans and governed through enhanced enterprise AI governance introduced in late 2025 with a framework for operationalizing agents securely, SnapLogic docs 2026-07-07 Full
Security, Identity & GovernanceEnterprise grade security with expanded AI governance, execution behind a firewall, and geolocation and residency compliance, trusted by regulated global enterprises, SnapLogic docs 2026-07-07 Full
Observability & AuditabilityProvides platform monitoring and management of pipelines and integrations at scale, processing trillions of records monthly with visibility into execution, SnapLogic docs 2026-07-07 Full
Memory & State PersistenceAgents can access persistent enterprise data through integration, but a distinct agent memory that persists and learns per user over time is not documented as first class, SnapLogic docs 2026-07-07 Partial
Deployment & Data ResidencyRuns its execution engine behind a firewall, in public clouds, or a hybrid mix, giving strong control over geolocation, residency, and compliance, SnapLogic docs 2026-07-07 Full
Prebuilt Agents, Templates & PacksShips thousands of prebuilt Snaps, integration patterns and templates, plus AgentCreator for rapidly assembling prebuilt agents and assistants out of the box, SnapLogic docs 2026-07-07 Full
Triggers & Channel CoverageSupports scheduled, event driven, and API triggered pipelines and real time streaming so agents and automations can be invoked across many channels and events, SnapLogic docs 2026-07-07 Full
Model Flexibility & RoutingAgentCreator builds large language model powered agents in a model flexible way and the platform added native Model Context Protocol support for interoperability across the AI ecosystem, SnapLogic docs 2026-07-07 Full
APIs, SDKs & MCP ExtensibilityOffers API management, custom Snaps, developer tooling, and native MCP support, making the platform broadly extensible for developers and partners, SnapLogic docs 2026-07-07 Full
Testing, Debugging & OptimizationProvides a framework for operationalizing and making agents production ready and tools to test integration workflows, but a dedicated agent evaluation and debugging suite is not documented as first class, SnapLogic docs 2026-07-07 Partial
Browser & Computer UseAgents act through integrations, connectors, and APIs rather than driving a browser or operating a computer interface, SnapLogic docs 2026-07-07 Unable to verify

Recent platform changes

No recent material changes tracked yet.

Pricing

Not public; enterprise pricing quoted through sales, typically consumption or tier based

platform tier plus integration and agentic consumption

Contact onlyMedium variable costTrial available

What is public

No list pricing. SnapLogic quotes through enterprise sales, with a trial and demo available but no self serve tier.

Billing mechanics

Enterprise subscription with consumption components tied to integration usage and agentic workloads, sized to the deployment.

Cost watchouts

Agentic workloads add underlying LLM and compute cost on top of integration consumption, so heavy agent usage can raise the bill.

Variable cost rationale

Enterprise iPaaS pricing typically scales with integration consumption such as pipeline executions and data volume, and agentic usage adds LLM cost on top, so total spend grows with automation and agent activity.

Additional watchouts

With no public rate, clarify how pricing meters integration consumption versus agent usage, and how hybrid or on premise execution affects terms.

Sales call required

Yes — required for paid access

Free / trial

Free trial and guided demo on request; no public free tier

Key ambiguities

No public rate is published, and the split between integration and agentic pricing is not disclosed.

Verified 2026-07-07

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