As its reputation for delivering results grows, Palantir's sales process has flipped. With demand outstripping supply, the company no longer engages in traditional sales cycles. Instead, it requires potential clients to demonstrate their readiness and commitment upfront, making them qualify for Palantir's limited bandwidth.

Business owners are overwhelmed by AI terminology. A consultant can create a personalized GPT ecosystem using their unique preferences, goals, and workflows. This service turns an executive's operational knowledge into valuable intellectual property, packaged as custom system prompts and GPTs they can use daily.

The rise of AI services companies like Invisible and Palantir, which build custom on-prem solutions, marks a reversal of the standardized cloud SaaS trend. Enterprises now prioritize proprietary, custom AI applications to gain a competitive edge.

Unlike typical software companies that build addictive products or simply fulfill requests, Palantir's approach is to anticipate and build what its partners *ought* to want in the future. This radical, value-driven strategy builds deep trust and creates an indispensable long-term position with the client.

An AI data cleanup agency's value isn't merely organizing messy information. By structuring data for AI analysis, you enable owners to make better, high-stakes decisions. This shifts the offering from a technical service to strategic business consulting, justifying significantly higher fees.

Instead of pure academic exploration, Goodfire tests state-of-the-art interpretability techniques on customer problems. The shortcomings and failures they encounter directly inform their fundamental research priorities, ensuring their work remains commercially relevant.

Instead of building a consumer-facing ChatGPT app, launch a service business that builds them for Fortune 500s. Large enterprises have the budget but lack the specialized skills to build on the new platform, creating "infinite demand" for capable development and design firms.

VCs accustomed to scalable SaaS models often view professional services as a non-recurring drag on margins. For data businesses, however, these services are crucial for embedding data into customer workflows and preventing churn, especially when the internal champion leaves.

Many companies believe they are building a scalable product but are actually succeeding as a bespoke software consultancy. Recognizing this reality is critical for aligning pricing, sales, and ROI expectations correctly, rather than chasing product multiples with a service model.