AI-Native Enterprise Integration Platform

Connect Beyond Boundaries.
Anything to Anything.

Connect applications, APIs, data, and AI agents. Build integrations with AI and orchestrate intelligent workflows across your enterprise.

Use case 1 · CRM → ERP

Visual

Integration designer

AI-in-flow

Models & agents as steps

Multi-protocol

HTTP, SQL, files, EDI

Observable

Runs, traces, audit

Connectivity

Connect the systems your business depends on.

Bring applications, APIs, and data together through integrations designed around your existing technology landscape. Named applications below are common targets reachable via APIs and protocol connectors.

SaaS applications

CRM, ERP, HR, and collaboration tools via HTTP and GraphQL.

APIs

REST and GraphQL endpoints with auth, retries, and mapping.

Databases

SQL systems for reads, writes, and synchronization patterns.

Files & events

Object storage, SFTP, webhooks, schedules, and inbound forms.

AI models

LLM providers as first-class steps inside the same pipelines.

AI agents

Agents that call approved systems within flow boundaries.

Enterprise systems

Legacy and modern stacks reachable through APIs or EDI.

Cloud services

S3, Azure Blob, GCS, and other cloud-native endpoints.

View connectivity options

Platform

Design, connect, orchestrate, and observe.

Core capabilities available in the platform today, organized for architects and operators.

Integration designer

Compose flows on a visual canvas. Wire triggers, connectors, transforms, conditions, AI steps, and approvals without maintaining a separate scripting stack for every system.

  • Visual flow building with versioning and validation
  • Field mapping between steps
  • Reusable system registrations and environments
Platform overview

Use case 2 · Files → AI → Data & Chat

Systems registry

Store credentials and connection settings for HTTP, SQL, cloud storage, SFTP, AI providers, and Collect forms.

Run history

Inspect each step's input and output, stream live runs, and investigate failures with trace context.

Environments

Keep development, staging, and production variables separate without duplicating flows.

Human-in-the-loop

Embed Collect forms, add approval steps, and route edge cases to the right team.

EDI and B2B

Manage trading partners, parse X12, and run EDI steps alongside other integrations.

White-label

Custom domains, brand tokens, and per-tenant theming for partner deployments.

How it works

Connect → Design → Orchestrate → Monitor → Act

A clear path from system registration to production runs.

1

Connect

Register systems and secrets once for reuse across flows.

2

Design

Build flows on the canvas with AI-assisted mapping.

3

Orchestrate

Branch, transform, call APIs, and involve AI agents.

4

Monitor

Review runs and failures from a central history view.

5

Act

Push outcomes to downstream systems and notify teams.

AI-native

AI that helps you build and run integrations.

Practical AI inside the same governance model as your other workflows. Not a separate chat product bolted on the side.

Describe a flow in plain language

Tell the copilot what you want to connect. It proposes nodes and field mappings you can edit before publishing.

Agents that call your systems

Give an agent access to specific APIs and databases. It chooses actions within the limits you set.

Documents to structured data

Run OCR, extraction, and classification on invoices, contracts, and forms before sending data downstream.

Reviewable model steps

Each AI step keeps inputs, outputs, and logs so architects and operators can audit what the model did.

See AI capabilities

Designer

One place for integrations and orchestration

Stop maintaining one-off scripts and scattered connectors. Build pipelines you can see, test, and monitor.

  • Visual builder with a broad node catalog
  • HTTP, SQL, files, and EDI in the same flow
  • Multi-tenant RBAC, environments, and audit logs
  • Human review when confidence is low
Explore Platform

Enterprise readiness

Controls for production workloads

Encryption in transit and at rest, tenant-scoped secrets, structured audit logs, and role-based access from day one. Certification status is shared during evaluation rather than claimed on this page.

  • Multi-tenant RBAC and workspace permissions
  • Trace IDs on requests and flow runs
  • Argon2id hashing and JWT refresh rotation
  • OAuth2 for connectors; SAML and SCIM on the roadmap
Security overview

Why IntBee

Unified integration with AI in the loop

Differentiation based on what the platform actually ships.

AI-assisted design

Reduce repetitive wiring and mapping with a copilot that drafts flows you can review.

Integration and orchestration together

Connect systems and coordinate multi-step business processes in one product.

Agent connectivity with governance

Give agents scoped tools and keep every action in the run history.

Operational visibility

See what integrations are doing, investigate failures, and replay when needed.

Compare IntBee with alternatives

Works with the tools teams already run

Salesforce HubSpot NetSuite Shopify Slack AWS S3 PostgreSQL OpenAI Snowflake SAP

Planning

Estimate time and cost saved

A rough annual savings model based on active integrations and weekly manual work. Not a guarantee. Use it to frame an evaluation conversation.

Savings estimator

Planning

Est. annual savings

$0

Hours saved per year

0 hrs

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Frequently asked questions

What is IntBee?

IntBee is an AI-native enterprise integration platform. It connects applications, APIs, data, and AI agents so teams can design, orchestrate, and observe intelligent workflows. Tagline: From Connections to Actions.

How is IntBee different from traditional iPaaS?

Traditional iPaaS products focus on connectors and recipes. IntBee keeps that foundation and adds AI-assisted design, model steps inside flows, and agent connectivity under the same security and observability controls.

What systems can IntBee connect?

HTTP and GraphQL APIs, SQL databases, S3, Azure Blob, GCS, FTP, SFTP, EDI, Collect forms, AI providers, and other systems reachable by API. Prefer protocol connectors and registered systems over assuming a fixed named-app list.

Does IntBee support API integrations?

Yes. API calls are a core building block for connecting SaaS and enterprise systems, with mapping, branching, and retry behavior available in the designer.

Can IntBee orchestrate AI agents?

Yes. Agents can call approved APIs and systems as tools within a flow. Inputs, outputs, and decisions remain visible in run history.

Is IntBee suitable for enterprise workflows?

IntBee is built with multi-tenant RBAC, environments, audit logs, encrypted secrets, and white-label options. Request a demo for deployment, identity, and security review details.

How can organizations evaluate IntBee?

Request a demo, explore the platform overview, review security documentation, and optionally compare IntBee with alternatives on our comparison pages. Contact info@thestrixhq.com.

Bring your systems together. Put your workflows in motion.

Request a walkthrough with your stack as the example, or explore the platform capabilities first.