How Parallel Puts Web Intelligence Into Action with Gumloop

AIs will soon use the web far more than humans. This new customer will have very different needs. Human web use is built for clicks, scrolls, short searches, and browsing a few pages at a time. AIs will process thousands of pages and require dense information rich passages. Parallel is building a new web for AIs, starting with a suite of web research APIs that allow AIs to effectively search and reason over the public web. 

Today, Parallel serves millions of web search requests per day, with a customer base that spans fast growing AI-native startups to public companies. With growing demand for Parallel's web search APIs, Parallel's growth team needed a solution that could automate their most time-intensive sales processes without sacrificing the personal touch that drives conversions.

Why Parallel Chose Gumloop

The team at Parallel — a company built on AI innovation — was looking for an automation platform that could match their technical sophistication, while remaining intuitive enough for non-developers to use effectively.

“I've used almost every workflow tool out there,” says Khushi Shelat, Growth Engineer at Parallel. “Gumloop is unique because it has the most configurable inputs and outputs. It’s very AI-native in the way that it infers what I want to do and helps me connect the right things.”

The Parallel team was also drawn to the features that make Gumloop more secure and enterprise-ready than the competition. “Other tools have trouble with sharing credentials in a user-friendly way,” Shelat says. “Gumloop, from the very beginning, ensured I could send emails in a safe way and make sure everyone on the team is happy with what's going out.”

In the meantime, here at Gumloop, we were looking for a provider that would give our customers the ability to research the web agentically, with open-ended natural language prompts. For us, partnering with Parallel was a no-brainer: that’s why we worked with them to create the AI Web Research node. And of course, Parallel does use their own Parallel-powered AI Web Research node to run business-critical workflows.

How Parallel Uses Gumloop

Parallel’s growth team has implemented several core Gumloop workflows that have transformed their sales operations.

Automated CRM Enrichment

Every time a new lead signs up for the Parallel platform, a Gumloop workflow enriches that lead’s CRM entry with comprehensive company data, including employee count, ARR, and investors. (Naturally, this flow uses the Parallel-powered AI Web Research node to get this information.)

Each lead is then automatically evaluated based on different criteria. Qualified, high-priority enterprise leads trigger a Slack message containing the relevant data. “This workflow filters down thousands of leads into less than 10% of that,” explains Shelat. “That helps us pay attention to the right people.”

Automated Email Outreach

The same workflow that surfaces high-priority leads also sets customers up for optimized email sequencing. Using the AI Web Research node, Parallel has created an automated email outreach flow that composes the best email openers for personalized warm enterprise outreach. These openers are derived from contextually relevant data and reference recent company announcements, industry-specific use cases, and personalized pain points.

Automated Feedback Collection

Though they started using Gumloop for sales, Parallel has also started expanding Gumloop usage to other functions. Now, when Parallel receives feedback, it triggers a Gumloop flow that ingests the feedback, contextualizes it, and transforms it into a more easily readable format — not only giving the engineering team greater insight into the user experience, but also making it easier for them to debug issues.

“Gumloop is unique because it has the most configurable inputs and outputs. It’s very AI-native in the way that it infers what I want to do and helps me connect the right things." — Khushi Shelat, Growth Engineer, Parallel

Gumloop and Parallel: Partners in AI Enrichment

For AI-native companies like Parallel, the expectation for intelligent automation runs high. Gumloop has delivered on that promise, providing sophisticated workflows that not only save time but actively improve the quality of customer interactions.

By automating the research and personalization that forms the foundation of effective sales outreach, Parallel's team can focus on what humans do best—building relationships and closing deals. The result is a more efficient, more effective sales process that scales with their rapid growth.

“Gumloop has the right balance between easy-to-learn and very complex,” Shelat says. “As soon as you learn it, there’s a very high ceiling of what you can possibly do.”

‍