We believe the best technology should be available to everyone

When large language AI models arrived, it was obvious that the customer support industry will be transformed. We obsessively dedicated ourselves to this problem from the launch of GPT-3 in July of 2020 through GPT-3.5, Claude 2.0, and beyond, iterating on AI-first interfaces and product experiments to discover the best of what language models are capable of in production. As models got better, hundreds of new companies appeared, from thin wrappers around GPT to enterprise solutions priced beyond the reach of most businesses.

We saw the same pattern that has repeated in enterprise software for decades: transformative technology gets locked behind gated contracts and sales processes designed for Fortune 500 companies. The businesses that arguably need it most; growing companies with lean teams and real pain running their customer support operations are left behind.

We started Aide because we believe the independent merchant, the growing startup, and the mid-market company serving thousands of customers, deserve the same quality of AI tools that a corporation with a hundred-person support operation gets.

There is a tendency in corporate to treat support as a cost to be optimized away. This is reflective of a transactional extractive mindset, we see the role of customer support differently:

Customer support is the most honest signal a business has. It is where people tell you what is actually happening with your product, your service,and whether you've upheld promises to your customers. Every ticket is a person who cared enough to reach out. That deserves respect, not deflection.

So when we build AI that automates responses, we obsess over accuracy. When we build tools for human agents, we design them to make people feel capable. When we surface insights to leaders, we focus on what helps them make better decisions for their customers. We make every design and engineering decision with humans at the center.

The role of humans in support is shifting. Far fewer people will be needed to answer repetitive tickets. Instead, they will monitor AI performance, configure system behavior, and step in where human judgment matters. This requires entirely new interfaces for AI-first tools designed for oversight.

Imagine a system that understands your customers, your products, and the relationship between them, surfacing insights like which products generate the most support load, which issues are trending, and how each resolution performs. Today, this level of intelligence requires stitching together expensive tools and is inaccessible to most businesses. At Aide, it is the default.