Thunai vs. Sierra: An In-Depth Comparison for Businesses


Thunai learns, listens, communicates, and automates workflows for your revenue generation team - Sales, Marketing and Customer Success.
TL;DR
Summary
- Sierra is a Conversational AI platform that typically requires a high-cost, rip-and-replace implementation, forcing teams to overhaul their entire support stack.
- Thunai is an enterprise AI orchestration platform offering ready-to-use applications such as a Meeting Assistant, Revenue AI, and Thunai Omni.
- Sierra is a long-term vision bet on a future agentic economy, often involving a lengthy 6–12 month setup before teams can fully use it.
- Thunai is a finished, day-one-ready system that first resolves data contradictions and then deploys AI agents across support, sales, and product teams.
Sierra is in some ways a rip-and-replace solution, meaning you must tear out your current systems.
A project like that can lead you to spend millions. You spend this on a tool that users find tough to learn.
But what if you could add to your existing system without replacing it? Read on. If you want to get value right away, here is how...
What is Thunai AI?
Thunai AI works as an enterprise AI orchestration platform. The system helps CX teams. It helps revenue teams. It makes their results better. Thunai is set up to work for your business immediately. It uses no-code AI agents.
At the center of this platform sits the Thunai Brain. This module is not just a simple database. The Brain acts as a living intelligence system.
Thunai’s knowledge base brings together all your company files. This takes in documents. It takes in spreadsheets. It takes in videos. It takes in live application data. But the most important part is Contradiction and Relationship Resolution.
The Brain actively looks for conflicts across documents. It finds them. The system brings them up so you can fix them. This creates a single source of truth. This source is checked. This happens before an agent ever uses the data.
From there, Thunai has systems that are ready to use. These modules run on this trusted knowledge base:
- Thunai Omni: This is a full system for dealing with customer interactions. It works across voice. It works across chat. It works across email. The system looks at sentiment in real time. It helps hand off to a human.
- Thunai Meeting Assistant: This is an active participant. It joins your calls. The assistant gives real-time transcription. It acts as a Co-Pilot. It pulls up checked answers from the Brain.
- Thunai Revenue AI: Thunai Revenue AI works as a proactive growth engine. This module scans your calls to uncover new sales opportunities. The system pulls intelligence from Slack and past deal history. The tool also checks your CRM and prospect email threads. You
- Thunai Reflect AI: Thunai Reflect AI acts as a health monitor for your product. This tool tracks stability by pulling data from every relevant channel. The system connects directly to Jira. The module also gathers signals from your Helpdesk and CCaaS platforms to spot issues early, all from one dashboard.

What is Sierra AI?
When you think about building custom agents, you might look at Sierra. Sierra (sierra.ai) is a conversational AI platform. It is for enterprise customer experience. The company was started by Bret Taylor and Clay Bavor.
The company's main idea is to move away from software applications. They want to move to autonomous agents. Sierra sells a vision of an Agentic Economy. In this economy, systems do the work for you.
The platform is made up of three main parts:
- Agent OS: This is the main operating system. It runs the agents. It connects to different models.
- Agent SDK: This is a tool for developers. It is heavy on code. It is used to set goals. It is used to set guardrails.
- Agent Studio: This is a tool for teams. It is marketed as a no-code interface. It is used to manage agents.
That said, the platform operates on a rip-and-replace model. This requires you to switch out your whole customer experience setup. Expert analysis shows this creates a gap. This gap is between the high valuation and the reality on the ground.
Users report a steep learning curve. They also report high costs.
Does spending millions on a vision bet sound like a safe move for your budget?
Thunai vs Sierra AI: Feature Comparison
So what sets Thunai and Sierra apart? Sierra gives you a platform. You use it to build agents from scratch. The company positions itself as a complex project. This project is for huge enterprises. Thunai AI is built as a full system. It is ready to carry out work now.
The two systems have different goals. Sierra gives you the tools to build a new support stack. Thunai hands over the finished applications. Sierra’s features are builder tools. These include an SDK. They include a complex Studio.
Thunai’s features are business-ready modules. These include a meeting assistant. They include a revenue finder. They include an all-channel inbox.
| Feature | Thunai AI | Sierra AI |
|---|---|---|
| Active Contradiction Resolution | ✓ | ✗ |
| Full, Ready-to-Use Meeting Assistant | ✓ | ✗ |
| Proactive Revenue & Lead Detection | ✓ | ✗ |
| Unified All-Channel Inbox (Omni) | ✓ | ✗ |
| Proactive Product Health Monitoring | ✓ | ✗ |
| Two-Way CRM Sync (Read/Write) | ✓ | ✓ |
| True No-Code Visual Builder | ✓ | ✗ |
User Experience and Reviews
Sierra's reception in the market is mixed. While investors value the company at $10 billion, actual users tell a different story. The platform gets complaints. Users say it is tough to learn.
Analysis shows that Sierra is not a simple software tool. The platform works as a high-complexity project.
- Users on G2 point out a steep learning curve. The Agent Studio feels confusing to some. This is especially true for new users, making it not the most viable no-code tool.
Some Users say the platform can be tough to figure out, going so far as to say that you may even need a lot of help.
- Reviews also mention that the platform is not very customizable. One user stated this rigidity can be a deal-breaker. This forces you to change how you work. You have to change to fit the tool.
Thunai is built on a different plan. The entire experience is set up to be usable. It is made for business teams.
- You use a visual builder. It uses drag-and-drop to make agents. You can also create workflows just by typing in AI prompts. You do not need to learn a complex SDK that to it’s complex MCP layer that allows you to integrate with tools a lot easier.
- The Thunai user experience centers on immediate action. The Sierra user experience centers on a complex building. This brings about the risk of a long setup process. It can be hard.
Performance and Reliability
You need to be able to count on an AI system. Dependability is not just about uptime. Dependability is about whether the AI works without bugs. It is about if the data is correct.
Sierra's method for performance relies on a white-glove partnership. The company relies on human support teams. They need these teams to make the software work.
However, users report real issues with the product itself.
- Bugs and Slowdowns: Multiple users report bugs. They report slowdowns. One review noted the platform can be slow at times. This is a major issue. This is bad for a tool meant to talk to customers in real time.
- Context Issues: Users state the bot struggles with context. It can lose track in long chats. It can give generic answers.
Thunai's method for performance starts with the data. The system fixes the knowledge base first.
- Fixing Data Conflicts: The Thunai Brain actively finds contextual conflicts. It looks across documents. It helps you sort out contradictions. This happens before an agent speaks. This cuts down on the risk of the AI getting confused.
- Real-Time Sync: Thunai uses the MCP. This sets up a true flow of information. The flow is two-way. This means the system reads data. It writes data to your CRM. It does this instantly.
- Tracking: Thunai gives full logs of all user-agent chats. You can see exactly what the AI did. You can see why it did it.
Why settle for a bot that loses track of the chat? You can have one that knows the facts.
Pricing and Value for Money
A platform's true cost goes beyond the monthly fee. The real cost includes the time. It includes the effort. It includes the extra services you need to buy. This is where the difference between Thunai and Sierra stands out.
Sierra's pricing model is not clear. The company does not show pricing publicly. The model is described as outcome-based. It is also described as custom.
The costs can pile up. They pile up in hidden ways.
- High Cost, Fuzzy Value: Users complain about high costs. They question the value. The model is tied to expensive contracts. These are negotiated per deal.
- Setup Costs: Because Sierra is a rip-and-replace platform, you have to pay. You pay for a complex setup. You are paying for a white-glove service. You pay this just to get the software running.
- Training Costs: The steep learning curve means your team needs training. They need hundreds of hours of it. This adds to the total cost of ownership.
Thunai is set up to give clear value. The design centers on business outcomes. It does this without the need for a massive consulting project.
- Out-of-the-Box Value: Applications like Omni work from day one. Revenue AI works from day one. You do not spend months building them.
- No Hidden Service Fees: You do not need to pay for a white-glove team. You do not need them to make the tool work. The visual builder lets your own team manage the system.
Security and Compliance
For any enterprise, guarding data is a top need. Both platforms have strong security measures. But they approach the problem in different ways.
Sierra puts a big emphasis on trust. The company states that your data is never used to train models.
- PII Protection: Sierra automatically masks personal information.
- Supervision: The platform uses supervisor agents. They watch over the primary agents.
These are good features. However, they mostly protect the conversation layer.
Thunai guards the data layer itself. The system secures your information. It does this across the whole ecosystem.
- Data Separation: The Thunai Brain organizes content. It puts it into domains. This isolates data that is sensitive. It isolates data for specific tenants. This is done by default. This makes sure data boundaries stay in place.
- Full Traceability: Thunai provides logs of every API call executed. You have a complete audit trail. You can see what the agent accessed. You can see what it changed.
- Secure Connections: The MCP makes sure of the data. It checks data moving between your CRM and Thunai. It makes sure it is secure. This applies to reading data. It applies to writing data.
Why Enterprises Prefer Thunai Over Sierra
The choice between Thunai and Sierra is a big one. For many enterprises, the choice comes down to one question: Do you want to start a long project, or do you want to solve problems now?
Enterprises choose Thunai because it is a finished system. It is not a builder's toolkit.
Sierra is a vision bet. It requires you to tear out your old systems. You must spend months setting up a new one. Thunai is an action-oriented platform. It hands over value on day one.
- The Platform Fixes Data First: The Thunai Brain does not just store files. The system finds contradictions. It sorts them out. This creates a trusted base. This base is for all your AI agents.
- The Platform Includes Ready Apps: You do not build a lead finder from scratch. Revenue AI detects deals. It does this automatically. You do not build a support tool. Omni handles voice. It handles chat. It handles email. It does this right away.
- The Platform Lets Business Users Build: Thunai's Common Agent uses a visual builder. Your sales leaders can make workflows. Your support leaders can make them too. They do this without needing engineers. They do not need complex SDKs.
Thunai is an AI system for your enterprise. It is ready to work. Want to see Thunai in action?
FAQs on Sierra vs. Thunai
What is the main difference between Sierra and Thunai?
Sierra is a platform for building agents. It requires a rip-and-replace of your current systems. It has a steep learning curve. It is best for companies with huge budgets. It is for those with long timelines. Thunai is an orchestration system with ready apps. It comes with finished modules. These include Omni and Revenue AI. It connects to your current tools. It does not replace them.
Why is Sierra's pricing called opaque?
Sierra does not list prices. The company uses an outcome-based model. This requires custom negotiation. Users report high costs. They report fuzzy value. You often have to pay for expensive setup services. You pay this to get it working. Thunai centers on delivering clear value. It does this through ready-to-use products.
Does Sierra have a feature like Thunai's Contradiction Resolution?
No. Sierra centers on finding information. It does not explicitly list a feature for fixing data conflicts. Thunai’s Brain actively detects contradictions. It helps you sort them out. It looks in your files. This makes sure the AI does not give answers based on old data. It prevents answers based on wrong data.
Can I use Thunai without a developer?
Yes. Thunai has a true no-code Visual Workflow Builder. You can even build agents by typing prompts. Sierra markets itself as no-code. However, users find the Agent Studio tough to learn. They find it confusing.



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