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Hellomatik VS Selenium in AWS Lambda

Compare Hellomatik VS Selenium in AWS Lambda and see what are their differences

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Hellomatik logo Hellomatik

The AI agent platform for the whole company: agents that answer customers, sell and execute real operations across departments, with a human in the loop. One license, unlimited users.

Selenium in AWS Lambda logo Selenium in AWS Lambda

Scale Selenium to infinity on demand using our serverless tools. Integrates with your AWS account.
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Hellomatik is an AI agent platform that puts a whole company's knowledge to work. You build department-specific agents grounded in your real systems and documents that answer customers 24/7, assist and close sales, and run operational workflows across your channels, always with a human in the loop for control. It ships as one company license with unlimited users and pay-for-real-use pricing, so cost doesn't scale with headcount. Teams use it for customer support, assisted selling, management reporting, staff training, quote generation and invoice collection, connecting the tools they already use: WhatsApp, Gmail, Google Drive, Shopify, WooCommerce, Meta Ads, Stripe and SQL databases. A startup from Spain, available in English and Spanish.

  • Selenium in AWS Lambda Landing page
    Landing page //
    2021-07-13

Hellomatik

$ Details
paid
Release Date
2025 July
Startup details
Country
Spain
State
Madrid
Founder(s)
Isaac Correa, Daniel Correa
Employees
1 - 9

Hellomatik features and specs

  • Multichannel customer answers
    Agents answer customer questions across voice, chat and WhatsApp.
  • Appointment booking
    Book and manage appointments for clinics, after-hours included.
  • Lead qualification with human handoff
    Qualify leads and hand off to a human when it matters.
  • Operations execution
    Execute real operations in your existing systems.
  • AI site search
    AI-powered site search for e-commerce catalogs.

Selenium in AWS Lambda features and specs

  • Scalability
    AWS Lambda automatically scales your Selenium tests by running multiple instances simultaneously, allowing for efficient parallel testing without managing servers.
  • Cost-effectiveness
    With AWS Lambda, you only pay for the compute time that you consume, which can significantly reduce costs compared to traditional server-based deployments, especially for occasional testing.
  • Maintenance-free
    AWS Lambda abstracts away server maintenance, updates, and patch management, allowing you to focus exclusively on writing and executing Selenium tests.
  • Integration with AWS Services
    AWS Lambda integrates seamlessly with other AWS services such as S3, DynamoDB, and API Gateway, enabling you to build comprehensive, cloud-native testing workflows.

Possible disadvantages of Selenium in AWS Lambda

  • Execution Time Limitations
    AWS Lambda imposes a maximum execution time limit (15 minutes as of 2023), which may not be sufficient for running extensive Selenium test suites.
  • Cold Start Latency
    When Lambda functions are not frequently invoked, they can experience latency during cold starts, potentially affecting the performance of Selenium tests.
  • Browser Environment Setup
    Running Selenium in AWS Lambda requires setting up browser binaries in a serverless environment, which can be complex and may require custom Lambda layers or container images.
  • Resource Limitations
    Lambda functions have restricted memory and computing capabilities, which might limit the execution of resource-intensive Selenium tests.

Analysis of Hellomatik

Overall verdict

  • I don't have verified, up-to-date information about Hellomatik (hellomatik.com) to make a reliable assessment of its quality, so I can't confidently say whether it is good or not.

Why this product is good

  • I don't have specific data on this platform's features, pricing, or user reviews
  • No verifiable information is available to me about its reliability, customer support, or track record
  • Without firsthand or documented evidence, any claims about its quality would be speculative

Recommended for

  • Anyone considering this service should check recent user reviews on independent platforms
  • Look for information on trust/scam-check sites (e.g., Trustpilot, BBB, Reddit discussions)
  • Verify company registration, contact details, and terms of service directly on the site before committing
  • Consider reaching out to existing customers or communities familiar with the product for firsthand feedback

Analysis of Selenium in AWS Lambda

Overall verdict

  • Selenium.cloud offers a convenient way to run Selenium-based browser automation on AWS Lambda, providing a serverless, cost-effective, and scalable solution for teams that need occasional or bursty web scraping and testing capabilities without managing dedicated infrastructure.

Why this product is good

  • Serverless architecture eliminates the need to provision or maintain servers for running browser automation
  • Pay-per-use pricing model can significantly reduce costs for intermittent or low-volume automation tasks
  • Automatic scaling handles concurrent execution spikes without manual intervention
  • Simplifies deployment of Selenium scripts by packaging Chrome/Chromium binaries compatible with Lambda's environment
  • Reduces DevOps overhead compared to maintaining Selenium Grid or dedicated VM-based testing infrastructure
  • Integrates well with other AWS services like S3, CloudWatch, and API Gateway for building complete automation pipelines

Recommended for

  • Teams running periodic or scheduled web scraping jobs
  • QA teams needing occasional automated browser testing without maintaining persistent infrastructure
  • Startups and small teams looking to minimize infrastructure costs for browser automation
  • Developers building serverless web scraping or monitoring tools
  • Projects with unpredictable or bursty automation workloads that benefit from auto-scaling
  • Users already invested in the AWS ecosystem seeking tighter integration with existing services

Category Popularity

0-100% (relative to Hellomatik and Selenium in AWS Lambda)
AI Chatbots
100 100%
0% 0
AWS Lambda
0 0%
100% 100
AI Assistant
100 100%
0% 0
Selenium
0 0%
100% 100

Questions & Answers

As answered by people managing Hellomatik and Selenium in AWS Lambda.

What makes your product unique?

Hellomatik's answer

Hellomatik transforms businesses into self-operating systems. Unlike traditional automation tools that connect apps, Hellomatik builds agentic workflows โ€” AI agents that understand context, make decisions, and execute actions across channels (voice, chat, email, WhatsApp). It doesnโ€™t just respond; it acts. Each module (Voice, Chat, Support, Procedures) runs on a shared โ€œCerebroโ€ that learns from real data and procedures, turning company knowledge into operational intelligence.

Why should a person choose your product over its competitors?

Hellomatik's answer

Because Hellomatik replaces fragmentation with coherence. Where others offer bots or isolated automations, Hellomatik acts as a single operating layer for the entire company โ€” centralizing knowledge, workflows, and actions under one interface. It executes real work: answering calls, booking appointments, running campaigns, resolving issues, and documenting every step. The result is measurable autonomy, not just convenience.

How would you describe the primary audience of your product?

Hellomatik's answer

Mid-to-large organizations that want to scale operations without adding human overhead โ€” especially in industries like healthcare, retail, logistics, and manufacturing. Teams that already use CRMs, ERPs, or scheduling systems but want them to think and act together through AI-driven workflows.

What's the story behind your product?

Hellomatik's answer

Hellomatik was born from frustration โ€” the founder realized his company only functioned when he was there. Every email, call, and report depended on him. The question became: what if a business could run itself? That idea evolved into Hellomatik: a system that gives companies memory, reasoning, and action โ€” so they mature, learn, and operate without constant supervision. Itโ€™s not just automation; itโ€™s operational intelligence.

Which are the primary technologies used for building your product?

Hellomatik's answer

Python, Node.js, React, PostgreSQL, Docker, Vapi.ai (for voice), ElevenLabs (speech synthesis), OpenAI APIs (LLM reasoning and retrieval), and custom RAG infrastructure for enterprise knowledge. All orchestrated under a modular architecture with Spaces, Memory, and Workflows.

User comments

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