How we’re thinking about pricing for enterprise AI
With a new category like enterprise AI, how do you get to the right pricing? Here are our learnings so far.
Glenn Jaume
Product Manager at Coda
AI · 6 min read
Consumer AI ≠ enterprise AI.
When thinking about pricing for our AI products, we first looked to consumer AIs, as they were the primary AI tools on the market at the time. Typically, consumer AIs are either free, like Meta AI, or work on a freemium model with paid plans for higher limits or additional features, like Claude from Anthropic or ChatGPT from OpenAI. But the reality is that, although they are both built on LLM (large language model) technology, consumer AIs and enterprise AIs are very different. The biggest difference is that consumer AIs don’t have access to your company data, meaning they lack context for the tasks you’re asking them to do. Conversely, enterprise AIs are connected directly to the tools you use, so they can provide much more specific, personalized responses—and, therefore, deliver more value. Enterprise AIs like Coda Brain are also built into the tools you’re already using for your work. That means they go beyond answering questions and enable you to actually take action, like providing a table of your highest-value deals that you can insert straight into a sales weekly meeting dashboard. Despite this, we chose to include Coda AI—our AI assistant built directly into your Coda docs—for free for doc makers. That’s because we knew Coda AI would be incredibly useful and wanted anyone making docs to benefit from that power as part of their core experience with Coda. We plan to do similar for our enterprise customers with Coda Brain, our turnkey AI platform specifically designed to meet the data volume challenges typically felt by larger businesses.