Databricks: People and Processes Win Enterprise Sales — SkimNews
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- Databricks is valued at $190 billion and counts more than 70% of the Fortune 500 as customers; co-founder Arsalan Tavakoli-Shiraji said people and processes matter most, and early deals fizzled when the startup was unprepared for legal, contractual and security questions.
- Databricks failed to land a UBS meeting before partnering with Microsoft as an Azure cloud partner; Microsoft’s sales team then booked meetings and advocated for the startup until Databricks was "pulled everywhere," prompting feature requests for countries it had not expanded into.
- Databricks now sells startups’ products under its own commercial terms and cybersecurity setup, including Hightouch and Addepar, while it has also invested in Hightouch and acquired machine-learning startup Tecton.
- The four Cs frame enterprise AI objections as context for company-specific terminology and workflows, freedom to switch models, control of operating cost, and safeguards over AI behavior and sensitive information.
- Tavakoli-Shiraji says 99% of the CIOs he meets sit at level one or two on a five-stage enterprise AI scale, and that properly deploying AI agents to create business value will take many years.
- AI agents can now understand and decompose legacy code in the IBM AS/400 and mainframe systems still found in banks, opening startup opportunities to add modern interfaces or replace those platforms.
Why it matters: Startups gain a clearer sales bar: Microsoft’s channel solved Databricks’ early access problem, while legal, contractual and security readiness determined whether deals closed. With 99% of CIOs still at AI levels one or two, legacy-code modernization remains a concrete enterprise opportunity.
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