Sierra is one of the most credible names in enterprise customer experience AI as of 2026. It was founded in 2023 by Bret Taylor, a former co-CEO of Salesforce and chair of the OpenAI board, and Clay Bavor, a former Google vice president (Sierra, retrieved 2026). That pedigree shows up in the product: Sierra builds branded, customer-facing agents that resolve support issues across chat and voice while following a company's policies. It is a strong product aimed at a specific, demanding buyer.
This piece walks through what Sierra is in 2026, what Gravity does differently, and the moments where one wins decisively over the other. The honest summary up front: Sierra and Gravity are not really competing for the same purchase. Sierra serves your customers; Gravity serves the operator doing the work. Some categories go clearly to Sierra. Accuracy matters more than selling the wrong tool.
What Sierra is, and where it actually shines
Sierra builds conversational AI agents for customer experience at large enterprises. The model is straightforward and powerful: a brand deploys a single branded agent that talks to its customers, resolves support issues across chat and voice, and follows the company's own policies and tone (Sierra, retrieved 2026). The agent is not a generic chatbot bolted onto a website. It is a tailored representative of one company, built and managed to behave like that company would want.
A fully managed, branded agent
The clearest strength of Sierra is that it is bespoke and managed. You are not handed a builder and told to configure it. Sierra works with the enterprise to shape the agent to its policies, knowledge, and brand voice, then runs and improves it over time. For a large company with a serious support volume, that hands-off, vendor-owned model is exactly what a procurement team often wants. The founders' background at Salesforce, Google, and the OpenAI board signals that this is built for the enterprise tier, not the hobbyist.
Resolution across chat and voice
Sierra agents are designed to actually resolve issues, not just deflect them, and they operate across both chat and voice channels. For a brand whose customers reach support through multiple surfaces, a single agent that handles both with consistent policy adherence is a real advantage. This is the heart of the enterprise CX category, and it is a category Sierra plays in seriously. If you are evaluating this whole space, our guide to notable AI agents in 2026 and the enterprise AI agent platforms buyer guide set the wider context.
Where Sierra is excellent
Three places where Sierra is the clear pick. A large enterprise with high support volume that wants a branded agent representing it to customers. A team that prefers a managed vendor relationship over owning the build and the reliability themselves. And any organization whose finance team likes outcome-based pricing tied to successful resolutions. For that buyer, Sierra is a strong, serious option, and a comparison post should say so plainly.
What Gravity does differently
Gravity is not a customer-service product, and that is the point. You describe the outcome you want in plain language, and Gravity matches you with an expert-built agent that runs it in about 60 seconds. There is no scoping call, no managed deployment, no branded agent to commission. An expert already built the agent, tested it, and brought it to the platform. You pay per use, $1 buys 1,000 credits, with no subscription required. For the shape of the whole platform, see how Gravity works.
The trade-off is honest. Gravity is built for the operator doing their own work, not for resolving your customers' support tickets at brand scale. Sierra commits to representing your company to your customers and owning that experience end to end. Gravity does not try to be your branded front door. If what you need is a customer-facing support agent, Sierra is built for that and Gravity is not. If what you need is to get your own tasks done across research, drafting, and operations, that is where Gravity fits.
How the platform is structured
Gravity is the platform that runs the agents. Users describe an outcome and pay per use, and Gravity carries the execution cost and the platform overhead. Expert builders build and maintain agents for Gravity, and Gravity pays them for that work and stays responsible for the service. That structure is the difference from a bespoke vendor engagement: Sierra builds one agent for one enterprise, while on Gravity an expert builds an agent once and the platform runs it for many operators. For how to weigh platforms like this, see how to evaluate AI agent platforms.
Side-by-side comparison
The honest comparison runs along ten dimensions. Below is how the two products stack up as of 2026. Where a current Sierra detail is uncertain, that is flagged rather than invented.
| Dimension | Sierra | Gravity |
|---|---|---|
| Primary job | Branded customer-service agent for one enterprise | Run expert-built agents for your own work |
| Buyer | Large enterprise CX and support leaders | Operators, SMBs, and individual teams |
| Go-to-market | Sales-led, scoped enterprise engagement | Self-serve; pre-launch waitlist now |
| Pricing model | Outcome-based, charged per resolution | Pay per use, $1 = 1,000 credits, no subscription |
| Setup time | Scoped build and deployment with the vendor | Describe the outcome, run in about 60 seconds |
| Who builds the agent | Sierra, tailored to your brand and policy | Vetted expert builders, for the platform |
| Channels | Chat and voice, customer-facing | Runs in the platform; serves the operator |
| Who owns reliability | Sierra, as the managed vendor | Gravity, which runs and stands behind the agents |
| Branding | Fully branded as your company | Not a branded front door; a work platform |
| Best fit | Bespoke, managed, enterprise support at scale | Fast, flexible, many tasks, no procurement |
A few rows favor Sierra outright. The branded, customer-facing deployment, the managed vendor relationship, and outcome-based pricing tied to resolutions are exactly what a large support organization tends to want, and Gravity does not try to compete there. A few favor Gravity: speed to first result, self-serve access without a sales cycle, and pay-per-use across many tasks. Several rows are simply describing two different buyers. Weight them by what your work actually is.
Commission a deployment vs run an agent
The deepest difference is not a feature; it is the unit of work and who carries the project. With Sierra, the unit of work is a branded support agent, and you commission it. There is a scoping conversation, a build tailored to your policies, a rollout, and an ongoing managed relationship. That is appropriate, because a customer-facing agent that represents your brand to thousands of customers should be built carefully and owned by someone accountable. The cost is time and a procurement process; the benefit is a serious, bespoke result.
With Gravity, the unit of work is a single outcome you run yourself, and you commission nothing. Someone with expertise built the agent, tested it across many scenarios, and brought it to the platform so you can run it in about 60 seconds. The mental model is closer to hiring a finished specialist than to running a deployment project. This is the same build-versus-buy distinction we draw in build vs buy AI agent: a managed deployment gives you control and a tailored fit and costs you a procurement cycle, while running a tested agent gives you speed and costs you the bespoke branding.
There is also a category point worth being precise about. A Sierra agent is a customer-facing support representative; it is judged on resolution rates and policy adherence. A Gravity agent is judged on whether it gets your task done. The words agent, assistant, and chatbot get used loosely in this market, so if the distinction matters to your purchase, see AI agent vs chatbot vs assistant for the clean version. And because a customer-facing agent lives or dies on dependability, our guide to reliability testing is worth reading whichever vendor you pick.
Ownership, hosting, and pricing reality
Sierra is an enterprise vendor, and the fair framing is that it is built for buyers who run a security review. A branded agent that handles customer data across chat and voice will pass through your procurement, data-protection, and compliance checks, and that is correct. Sierra's managed model means it owns the hosting, the model behavior, and the policy adherence, which is part of what an enterprise is paying for. Confirm data-residency, retention, and compliance specifics with Sierra directly during scoping, the same diligence you would apply to any vendor handling customer conversations.
On pricing, Sierra is known for outcome-based pricing, charging for successful resolutions rather than per seat. That model aligns cost with results, which many support leaders prefer, because you pay when the agent actually solves something. The exact terms are quoted per engagement, so this piece does not pin numbers that may be stale.
Gravity is operated by XAI Technologies Pvt Ltd, based in Bangalore, and is in pre-launch waitlist as of 2026. Its model is pay per use rather than per seat: $1 buys 1,000 credits and you spend them only on runs you actually use. As a pre-launch product, its data-residency posture at general availability is still being finalized, so this piece does not overclaim it. For how the two leading autonomous-agent products compare on this axis, our Gravity vs Lindy and Gravity vs Manus breakdowns go deeper.
When Sierra is the right choice
Three signals say Sierra is the better purchase. First, you are a large enterprise and the job is customer service; you need a branded agent resolving support issues across chat and voice. Second, you want a managed vendor to own the build, the policy adherence, and the reliability rather than running it yourself. Third, you have a procurement budget and a security review process, and outcome-based pricing tied to resolutions fits how your finance team thinks.
If those three are true, Sierra is a serious, credible option and Gravity is not really competing for that purchase. For broader context on this tier, the enterprise AI agent platforms buyer guide is worth a read before you commit. And because guardrails matter most when an agent faces real customers, see AI agent safety and guardrails.
When Gravity is the right choice
Three opposite signals say Gravity is the better purchase. First, the job is your own work, not your customers' support tickets; you want research, drafting, analysis, and operations done, not a branded front door. Second, you want to start now without a sales call; describe an outcome and run a tested agent in about 60 seconds. Third, pay-per-use economics fit better than an enterprise contract; you want to spend only on runs you use, with no seat to carry in slow months.
The deeper bet is the platform one. As experts build and test agents for Gravity across many task types, the catalogue of finished, trustworthy agents grows, and the value of commissioning each one yourself decays. For more on that approach, see about Gravity.
Using both together
These two products are not either-or, because they cover different jobs. A company can run Sierra as its branded, customer-facing support agent while its internal team uses Gravity to run agents for back-office work: research, drafting, reporting, and operations. One faces your customers and is managed for you; the other helps your own people get tasks done. If your support stack already leans on tools like Zendesk or Intercom, our guides to an AI agent for Zendesk ticket triage and an AI agent for Intercom auto-responder show where lighter, self-serve automation fits alongside a managed deployment.
Frequently asked questions
What is the main difference between Sierra and Gravity?
Sierra builds a single branded customer-service agent for one enterprise, fully managed, deployed across chat and voice to resolve support issues under company policy. Gravity is a platform where you describe an outcome and run an expert-built agent for your own work in about 60 seconds. Sierra serves your customers; Gravity serves the operator doing the work.
Is Sierra self-serve or sales-led?
Sierra is a sales-led enterprise engagement. You talk to their team, scope a deployment, and Sierra builds and manages the branded agent for your brand. There is no instant self-serve signup. Gravity is the opposite: pre-launch waitlist now, then describe an outcome and run an agent yourself, pay per use, with no procurement cycle required.
How does Sierra's pricing work?
Sierra is known for outcome-based pricing, charging for successful resolutions rather than per seat, which aligns cost with results. Treat the exact terms as something to confirm with Sierra directly, since enterprise deals are quoted per engagement. Gravity uses transparent pay per use, where one dollar buys 1,000 credits and you spend them only on runs you use.
When is Sierra the right choice?
Sierra is the right choice when you are a large enterprise that wants a bespoke, branded customer-service agent across chat and voice, when you have a procurement budget and a security review process, and when you want a vendor to own the build, the policy adherence, and the ongoing management of a customer-facing agent at scale.
When is Gravity the right choice?
Gravity is the right choice when you are an operator or smaller team that wants to get your own work done, when you would rather run an expert's tested agent than commission a managed deployment, when you want to start in 60 seconds without a sales call, and when pay-per-use economics fit better than an enterprise contract.
Can Sierra and Gravity be used together?
Yes, because they cover different jobs. A company can run Sierra as its branded, customer-facing support agent while its internal team uses Gravity to run agents for back-office tasks like research, drafting, and operations. One faces your customers and is managed for you; the other helps your own people get work done.
Three takeaways before you close this tab
- Sierra and Gravity serve different buyers. One automates customer service; the other helps you get your own work done.
- The fit test is the unit of work. Is the job your customers' support, or your own tasks?
- They can coexist. Run Sierra at your front door, run Gravity in your back office.
Sources
- Sierra, "Product home", retrieved 2026, sierra.ai
- Sierra, "Company and founders", retrieved 2026, sierra.ai/about
- Sierra, "Pricing approach", retrieved 2026, sierra.ai
- Gravity, "How it works", gravity.fast
- Gravity team, "Gravity vs Lindy", 2026, Gravity vs Lindy
- Gravity team, "Enterprise AI agent platforms", 2026, Enterprise AI agent platforms