We're excited to announce the formal expansion of Integrate.io's White Glove Customer Success Program, formalizing the high-touch, personalized onboarding and support model that our customers have consistently called out as a key reason they chose and stayed with Integrate.io. This program brings together dedicated Solution Engineers, proactive onboarding, 24/7 support, and our newly integrated AI capabilities, all under one structured engagement model built to get data teams running faster and staying running reliably.
White Glove Onboarding
Every customer receives white-glove onboarding to get them as knowledgeable on the platform as the Integrate.io team is, along with scheduled checkpoints to ensure continued success.
Integrate.io's structured 30-day onboarding program is included in every plan. A dedicated Solution Engineer maps your existing connectors and pipelines, configures transformations, validates data parity, and handles go-live.
The team takes a customized, tailored approach to onboarding each customer, understanding that every company is different. Pipeline builds can be handled by Integrate.io entirely, or the team handles initial setup so customers can take over, scope and deliverables are aligned together from the first call.
Dedicated Solution Engineers
Every customer works with a dedicated Solution Engineer from their very first call. This means you're never handed off to a generic support queue. Your Solution Engineer understands your architecture and use case, and stays involved through the full onboarding lifecycle.
The platform provides comprehensive documentation, educational webinars, and hands-on support that goes beyond basic troubleshooting. Integrate.io's team assists with architecture design, optimization strategies, and custom connector development.
24/7 Support with Industry-Leading Response Times
Integrate.io delivers industry-leading support with a 92% customer satisfaction score, a 2-minute average first response time, and a 51-minute average time to resolution.
The fanatical support team provides 360 support through email, chat, phone, and Zoom. 24/7 expert support and white-glove onboarding are included at all tiers.
Integrate.io delivers this level of support, with dedicated Solutions Engineers, at a level typically reserved for enterprise-tier pricing at competitors.
The Integrate.io AI Assistant answers questions across all Integrate.io documentation and helps users quickly understand how Integrate.io supports their use cases, directly inside the platform. It's available alongside live chat and email support, giving customers an instant first line of help without leaving the pipeline designer.
Whether you need to understand how a connector works, troubleshoot an expression, or find the right transformation component for your use case, the AI Assistant is there in context, no tab switching, no ticket required.
The AI Transformation component applies LLM-powered transformations to fields directly in your Integrate.io ETL pipeline. It operates per record, supports prompt interpolation from upstream columns, and emits typed outputs you define.
Two API key options are available: Bring Your Own Key (BYO), where you supply your own OpenAI API key with usage billed through your provider account, or an Integrate.io Managed Key, which provisions a unique credential for your account.
Supported configuration includes model selection (such as gpt-4o or gpt-4o-mini), temperature control from 0.0 to 2.0, max token limits, and field-level prompt interpolation using #{field_name} syntax. A built-in Preview mode runs a small sample of rows so you can validate behavior and manage token usage before full execution.
This means data cleansing, classification, summarization, and enrichment can happen where your data already flows, without external round-trips or separate infrastructure.
Integrate.io AI Assistant
Integrate.io AI assistant brings AI to every step of the data process: preparing data, applying models at scale, accessing GPU power on demand, and building pipelines using natural-language prompts via the platform's MCP server.
The four core capabilities, as described on the official Integrate.io AI page:
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Make your data AI ready: Clean, normalize, and enrich data from any location (cloud, on-prem, and legacy) because most data isn't ready for AI as-is.
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Apply AI across your data at scale: Run preferred LLMs on any dataset at any scale, from thousands of rows to billions, without restructuring existing pipelines.
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GPU power on demand: Access enterprise-grade GPU clusters without capital expense. Turn it on, get results, turn it off.
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MCP prompt-to-pipeline: Type what you want to do, and the platform generates your data pipeline instantly. Works inside Integrate.io or triggered from your own tools via the MCP server.
What Our Customers Are Saying
These are verified reviews sourced directly from Integrate.io's support page:
"Super easy onboarding and no migration cost. Support is quick and a delight, even on weekends! No lock ins. It's democratised data analytics across our company." — Punit S., G2 Fastest Implementation Winter 2025
"Great experience. Integrate.io's customer success engineers are amazing. They are one reason we decided to partner with Integrate.io. Our current customer success engineer is smart, great at problem-solving, and best of all... he is dependable and goes above and beyond to help us." — Customer in Financial Services, G2 High Performer Winter 2025
"Great tool, awesome support! What stands out most is the quality and responsiveness of your support. It's like they're always there to help me solve any issue I'm running into — that's definitely remarkable." — Customer in Hospital & Health Care, G2 High Performer Enterprise Winter 2025
All of this- 24/7 expert support, white-glove onboarding, and a dedicated Solution Engineer, is included at all paid tiers, starting at $1,999/month with unlimited data volumes, unlimited pipelines, and 150+ connectors.
You can read full documentation on all platform capabilities, including the AI Assistant and AI Transformation component, on the Integrate.io Documentation Page.
