Meet Mosaia 

Protocol Labs
Protocol Labs
Meet Mosaia

# Meet Mosaia

Snapshot: Mosaia (opens new window) is developing a trusted multi AI agent OS that enables clients to collaborate seamlessly with service provider teams to create, build, and innovate. The platform is currently focused on helping crypto teams hire the right smart contract audit firm. By providing multiple quotes from companies within 24 hours, Mosaia ensures teams find the right partner quickly.

The Impact: Mosaia has already assisted thousands of web3 startups in finding the right service providers, saving them weeks of effort in the process. Leveraging a large language model (LLM), Mosaia swiftly comprehends complex requirements and automatically matches clients with suitable service providers.

On Joining Protocol Labs: In 2022, Cyril Delattre (opens new window), Mosaia’s co-founder, joined Protocol Labs (opens new window) to build a vendor marketplace to provide a white-glove matching service to founders within the network. The marketplace became Mosaia. Mosaia iterated quickly and started integrating AI capabilities to remove friction, and speed up the process to get matched with the right vendor.

What’s on the Radar: Earlier this year, Mosaia integrated new AI capabilities into its product. The team is also working on a new UI, with AI-generated ad-hoc components designed to simplify decision-making for users. Based on user feedback, the team plans to quickly expand in a variety of areas, such as handling payments, building a reputation system, and more.

# The Genesis of Mosaia

Mosaia was founded by Cyril Delattre and Aaron Wong (opens new window) to address significant pain points in the smart contract audit industry. Protocol Labs founders frequently express frustrations about selecting the right security firm from hundreds of service providers. They often face questions about trust, quality of work, pricing, and the number of audits necessary to minimize risk. Also, the process for finding reputable auditors who meet specific needs is time-consuming and complex. “The starting point from us was to help people save time when they need to find a service provider,” Delattre said.

Delattre and Wong saw these frustrations as an opportunity to streamline the process and were motivated by the importance of smart contract audits in the web3 ecosystem. Ensuring the security of smart contracts is crucial, as the public nature of smart contract code poses a high risk for hacks, which can severely impact user funds and project reputations. According to Delattre, the industry suffered more than 200 hacks over the past three years, impacting more than $7B in user funds.

Mosaia’s platform leverages AI to understand complex requirements, expediting the process of finding the right audit firm. This not only saves time but also ensures that clients find the most appropriate service provider for their specific needs.

“More than 100 companies have a smart contract audit offering, with each having its own specialty and reputation, and it's very difficult to understand which one out of the 100 is the right fit for you,” Delattre said. “It can take weeks to find the right one. We realized there was an opportunity for us to add value here by being able to match the client and the provider.”

# Tackling Challenges Head-On

Mosaia has faced several challenges while getting underway.

“In the beginning, we started by helping companies find any kind of vendor, and it was difficult for us to really target a specific industry and add value to the client,” Wong said, describing a period when Mosaia aimed to help blockchain and AI companies source a wide range of vendor segments, including security, devshops, cyptoeconomics advisory, design, PR and marketing agencies, and so on. “So one change we did make in the past few months was to go deep in one industry — one that is probably the most important for blockchain companies, which are smart contracts audits.”

Developing an AI system capable of understanding complex audit requirements and effectively matching clients with suitable providers was also a big challenge. “Building an AI-first product is hard,” Wong said. “It's really hard, especially when you're trying to do things in a format that will also be decentralized in the future. But that's what innovation is, right?”

Mosaia also encountered unexpected demand from service providers wanting to use the platform to manage their inbound leads and connect with potential clients. This opened up new opportunities to enhance the platform’s functionality. “When we leverage our AI system to help service providers find a new customer, they realize it's powerful because the AI enables them to get granular details about the customer request,” Wong said. “And the system gets a very good understanding of what your business is and what your offering is. And from there, it can be almost like an assistant or another co-worker that can help advise you on something like business strategy.”

Mosaia is continuously iterating and improving its platform to meet the needs of clients and service providers. Its value proposition is centered around enabling startups to build fast and scale efficiently. Startups often face long procurement cycles and validation processes that hinder their growth. Mosaia’s AI addresses this by understanding critical business needs and facilitating the procurement of necessary services. The more Mosaia is used, the better it understands the business. It acts as a subject matter expert in finding the right provider, ensuring that users get the best value at the best price.

“These types of sales cycles often last from nine months to a year and are really brutal,” Wong said. “You have to go through security questionnaires, jump through a lot of hoops, and sometimes do proof of concepts. I wanted to build a tool to automate this process because nobody likes doing it. As I was going around and trying to pitch the idea everybody loved it.”

# Roadmap for the Future

Mosaia recently launched the next iteration of its product, enhancing the AI system to help founders specify the type of audit they need and receive tailored recommendations. The AI can also submit requests for quotes to multiple providers on the founder's behalf, streamlining the procurement process.

Looking ahead, Mosaia's roadmap is driven by user feedback and community input. The team is prioritizing several key areas: enhancing basic functionalities, like scheduling meetings, implementing payment systems leveraging smart contracts, and developing a reputation system to accurately reflect and protect the reputation of audit firms. They are also working on creating an AI agent capable of generating accurate quotes, further adding value to the platform.

Building an AI product comes with its own set of challenges and learnings. LLMs often behave unpredictably, necessitating extensive iteration and trial and error to achieve the desired functionality. While Mosaia adopts an AI-first approach, it also focuses on creating a user-friendly interface and effectively communicating its value proposition. Mosaia acknowledges that AI cannot solve everything and emphasizes the importance of maintaining human oversight to correct errors and provide personalized support.

By continuously refining their product and addressing the unique challenges of the smart contract audit industry, Mosaia aims to be a reliable partner in helping startups build and scale efficiently, helping secure the future of decentralized technology and ensuring the growth and success of web3 projects.