GigaML vs Cresta: A 2025 comparison for enterprise AI support

Trying to pick an AI agent for your support team feels a bit like navigating a gold rush. Everyone's making big promises, and two names you'll probably hear a lot are GigaML and Cresta. Both are heavy hitters in the enterprise world, offering serious AI power for support and operations.

But they’re built on very different ideas of what AI support should be. How do you know which one is right for you? This article cuts through the noise and gives you a straight-up comparison of GigaML vs Cresta. We’ll look at what they’re best at, how you get them up and running, and their overall philosophy. By the end, you'll have a much clearer picture. We'll also touch on a third way of doing things, for teams that want enterprise power without the enterprise-level headaches.

What is GigaML?

GigaML builds specialized AI agents for voice and chat. They’re designed to handle the gnarliest, most complicated customer support workflows you can throw at them. Their focus is on large B2C companies, and they've worked with big names like DoorDash, which shows they can handle a massive number of complex customer conversations.

Their focus on voice agents tells you they’re deep in the world of contact centers and real-time support. Think of GigaML as the specialist you call in when you need a custom-built, heavy-duty AI system for your most demanding support problems.

What is Cresta?

Cresta is an AI platform that aims to improve how contact centers work, covering both sales and customer support. Just like GigaML, they operate in the enterprise AI space, providing tools to help agents get more done and to automate conversations.

From what we can see, Cresta focuses on giving real-time intelligence and coaching to human agents, alongside their automation tools. They’re a solid choice for big companies that want to use AI to make their existing contact center teams more efficient and effective.

Key differences: GigaML vs Cresta

Before we get into the details, let's get one thing straight: both GigaML and Cresta are built for the enterprise market. That usually means long sales cycles, custom pricing you won't see on a website, and big implementation projects. While their solutions are powerful, that approach isn’t always the right one for teams that need to move fast and prove value quickly. Let’s break down where they part ways and look at a more agile alternative.

GigaML vs Cresta: Focus and ideal use case

GigaML seems to be all about deploying fully independent agents for very complex, specific tasks. The fact that they handle the "most complex support and operations workflows" for giants like DoorDash suggests they build deep, custom integrations meant to take over entire types of support tickets. Their ideal customer is a huge company that needs a tailor-made solution for a tough, high-volume problem.

Cresta, on the other hand, seems to have a wider goal: improving the entire contact center. This includes tools that assist agents (like real-time coaching and suggesting replies) as well as full automation. Their ideal customer is probably a large organization looking to improve metrics like Average Handle Time (AHT) across its entire agent team, using AI to give their human agents a boost.

But there’s another way to think about this. Instead of jumping into a massive project, many teams see more success by starting small and growing from there. A platform like eesel AI lets you begin by automating just the most common Tier 1 tickets. You get to decide exactly which tickets the AI handles and have it pass everything else to a human. This approach lowers the risk and lets you demonstrate the value of AI right away, without a complete operational overhaul.

GigaML vs Cresta: Implementation and speed to value

Given their enterprise focus, getting started with either GigaML or Cresta is probably a project that takes months. The process likely involves a lot of sales calls, custom solution design, professional help with integration, and a lot of team training. You’ll only start seeing any real value after putting in a lot of time and money upfront.

The problem with that model is that most of us can't afford to wait months for results. Needing developers and long onboarding processes can cause projects to stall and push your return on investment way down the road.

This is where a faster, do-it-yourself path really shines. Modern platforms like the AI agent from eesel AI are built so you can get them running yourself, and fast.

• You can connect your help desk, whether it's Zendesk, Freshdesk, or Intercom, in a single click.

• You can go live in minutes, not months. The AI trains on your existing knowledge from places like Confluence or Google Docs, and even learns from your past support tickets.

• Most importantly, you can use a simulation mode to test the AI on thousands of your old tickets before it ever talks to a customer. This gives you a clear forecast of how well it will perform, so you can launch knowing what to expect.

GigaML vs Cresta: Customization, control, and transparency

Customization is a big selling point for both GigaML and Cresta, but it's usually something their professional services team handles for you. The AI can feel like a "black box," where making a change or adding a new workflow means sending a request to their team and waiting. The results can be great, but it limits your team’s ability to adapt when new customer issues come up.

Your support needs change constantly. Waiting for a vendor to update your AI’s logic is slow and clunky. Real agility comes from giving your own team the power to manage and improve the AI themselves.

A platform like eesel AI gives your team full control with a customizable workflow engine that anyone can use, no coding required.

• Custom Persona: Use a simple prompt editor to set the AI's exact tone of voice, making sure it always sounds on-brand.

• Custom Actions: Set up the AI to do more than just answer questions. It can look up order information in Shopify, tag and triage tickets on its own, or even call an external API to get real-time data from your other systems.

• Scoped Knowledge: You can easily tell the AI to only use specific knowledge sources for certain questions. This ensures it only answers what it’s supposed to and never goes off-topic.

Pricing showdown: GigaML vs Cresta vs a transparent alternative

You won't find a pricing page on the GigaML or Cresta websites. This is normal for enterprise software that depends on high-value, custom contracts that can easily cost six figures or more.

For you, this means you can’t estimate the cost without talking to their sales team first. The price is likely based on your company's size, how much you use it, and how complex the setup is. This lack of transparency can make budgeting a headache and might hide extra costs for services or if you go over your usage limits.

In contrast, eesel AI has transparent pricing that grows with you. There are no hidden fees or mandatory long-term contracts just to get started.

Most importantly, the pricing is not based on how many tickets the AI resolves. You don't get punished for having a busy month or for the AI doing its job well. You pay a flat, predictable fee for a set number of AI interactions, which can be an answer or an action it takes.

eesel AI pricing plans

The GigaML vs Cresta verdict: Choosing the right AI partner for your team

So, after all that, how do you decide?

Choose GigaML if: you're a massive enterprise like DoorDash with a multi-million dollar budget. You need a deep, custom-built AI solution, primarily for complex voice support, and you're prepared for a 6 to 12-month implementation project.

Choose Cresta if: you run a large contact center and you're looking for a broad platform to help out and coach your human agents. You have the budget and patience for a traditional enterprise sales and setup process.

For most teams, though, the cost, complexity, and slow start of traditional enterprise AI are just too much. The risk of a huge project not delivering is a tough one to take. This is where a more modern approach makes sense.

eesel AI is the right solution for teams that want enterprise-level power without the friction. It's a platform that lets you:

• Launch in minutes, not months.

• Keep total control over automation and customization.

• Test with confidence using real-world data.

• Budget without surprises with clear, predictable pricing.

If you're ready to see just how quickly you can get a powerful, secure, and fully customizable AI agent working for your support team, you can get started today. See how it works by connecting your help desk and running a simulation on your own ticket history.

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