- To make a successful startup, it’s absolutely unnecessary to invent new technologies. Because 99% of users need not technologies but simple and effective tools to solve their everyday tasks.
- So, for example, how should small and medium-sized businesses use AI? Chat with ChatGPT? No, it’s inconvenient and ineffective ☹️
- It’s much better to create a platform like this for them! Considering that there are already several examples of such platforms, and they quickly find customers and raise investments — it’s a good theme to apply one’s own efforts to:
Project Essence
Inner AI is a workspace for company employees where they can quickly and easily create the content they need for their work using AI.
When users log into the platform, they immediately see options for what they can create here.
This is all thanks to the fact that the platform comes with a set of ready-made templates that facilitate the completion of the most typical tasks. If a company needs employees to be able to create something specific on the platform, administrators can create and add new templates to the catalog for this purpose.
With the existing templates, employees can create reports, business proposals, training course programs for new employees, instructions for performing business processes, articles for the company’s website or blog, job descriptions, launch advertising campaigns, respond to user questions received in chat or via email, and much more.
When creating any content, users can request data from internal corporate sources integrated with Inner AI from the AI assistant. For example, when creating instructions for employees, you can ask the AI assistant to provide a list of frequently asked questions from the corporate chat — and insert it into the instructions along with prepared AI assistant answers.
The text generated by the platform or manually created can be edited. To do this, simply ask the AI engine to make a paragraph shorter or longer, simpler or more convincing — selecting the desired action from the menu.
Similarly, you can work with images generated by the platform or manually inserted into documents — change the background, repaint a T-shirt, change the facial expression, or anything else.
The platform can generate not only texts with images but also videos, which can also be quickly and easily edited — for example, simply by editing the text spoken by the character.
Documents can be worked on in team mode — by inviting other necessary people to edit and/or comment on the documents being created.
At the heart of the platform are third-party AI models from OpenAI, Mistral, Stable Diffusion, and other developers. Platform administrators can specify which ones to use to solve which tasks.
The individual version of the platform will cost $12 per month. For corporate version pricing, you need to contact the startup directly.
Inner AI was created in Brazil just last year, receiving $2.4 million in investments right from the start. Since then, it has managed to release the platform, attract the first customers, including well-known Latin American companies — and has now raised another $2.4 million in investments.
What’s Interesting
More and more people are increasingly using AI in their work. The most common way to use AI is to open a chat, for example, ChatGPT, and ask it something or request it to do something.
When this is needed only from time to time, or when tasks are constantly changing, it’s normal. But if we want to use AI in business, we need to integrate it into the engine of routine business processes — rather than teaching employees how to work with various chats, the art of composing various prompts, and other intricacies.
That’s why Inner AI decided to completely rethink and redesign the process of content creation using AI — resulting in the emergence of their platform.
The startup hopes that after trying their platform, people will be amazed at how they used to work without it 😉
In a similar vein, the startup Zylon is also heading in the same direction, which I wrote about in February. At that time, they raised $3.2 million in investments for the beta version of their platform, which helps automate routine tasks for company employees using AI.
Their platform is also an entry point for performing various tasks, which does not require interaction with chats and mastering the art of composing prompts — it’s enough for an employee to click on the name of the required task and follow the prompts of the platform.
These prompts are an important part of Zylon’s concept. The startup founders argue that using AI “should not be magic” — when a user expects that by pressing just one button, the AI platform should immediately provide them with the necessary and perfect result. It’s much easier, faster, and more reliable to proceed step by step — sequentially providing the platform with information that will ultimately lead to the desired result.
Today’s Inner AI plays a similar role with its templates — which need to be filled in immediately or sequentially to predictably achieve the desired result.
In a similar direction, there is also the startup Twin, which I also wrote about in February. They are also creating a platform for automating routine tasks for small and medium-sized businesses using AI. However, their basic interface is still a chat. Nevertheless, the startup is deliberately “training” the AI assistant of the platform to perform typical business tasks, for which it is now gathering its first business partners. The startup hasn’t even released its platform yet but has already raised $3 million for it.
Where to Run
There’s a well-known saying: “Every revolution is conceived by romantics, executed by fanatics, and enjoyed by hardened scoundrels.” In technological revolutions, it’s not quite so rigid. But it can be said that inventors conceive technological revolutions, technologists execute them, and skilled traders reap the benefits 😉
Most startup founders inevitably want to be inventors or technologists. And that’s why they disdain the creators of products that are essentially “wrappers” around AI models, because they absolutely need to create such AI models.
Today’s Inner AI and other startups mentioned in the overview essentially create “wrappers” around other people’s AI models. But this doesn’t make their products any less in demand — quite the opposite, in fact. Because 99% of users need not technology but simple and effective tools to solve their everyday tasks.
Accordingly, the general direction of movement is towards the creation of such tools that take existing AI technologies but adapt them to perform typical tasks in certain areas.
Inner AI, Zylon, and Twin are aimed at a fairly broad area of business process automation in small and medium-sized businesses.
Although the applications of such an approach can be more unexpected and narrower. Take, for example, the startup Fora, which I also wrote about in February. They’ve created an AI platform that streamlines the work of managers and top executives of companies — and raised $3.8 million in investments at the pre-seed stage.
What business processes can you simplify and make more efficient with existing AI technologies? How should the process of using AI be formalized and broken down into steps? How should it integrate with other business processes and corporate platforms of the company? What might the interface of such a platform look like?
Don’t invent new technologies, in general. It’s better to enjoy the fruits of what others have already invented. Often, this turns out to be a much more profitable position 😉
About the Company
Inner AI
Website: innerai.com
Latest round: $2.4M, 02.04.2024
Total investments: $4.8M, rounds: 2