Service
Data Strategy & Advisory
The modern data and AI stack changes fast. We help you navigate it with a strategy grounded in your business reality, not vendor hype.
What we help with
We work call by call with a money-back guarantee. No long SOWs required. Examples of strategy work:
- Identifying promising LLM and AI opportunities for your business
- LLM-based business models and data arbitrage strategies
- Designing a modern data platform on Databricks, MS Fabric, or Snowflake
- Vendor selection for data platforms, integration tools, and data providers
- Production LLM infrastructure design and implementation
- Designing semantic data architectures and governance frameworks
- Real-time and training data pipelines for LLM solutions
- Reducing bias in AI and LLM models
- Data product design and monetization strategies
- Data privacy and compliance strategies
- Data team organization and hiring strategies
How it works
Start with a conversation
Describe what you're facing. We'll scope the work together and determine whether advisory calls, a deeper engagement, or a different approach makes sense.
Engage at whatever depth makes sense
From a single advisory call to an ongoing strategic partnership. We tell you what we see, even if it means pointing you elsewhere.
Money-back guarantee
Every call comes with a guarantee. If the conversation doesn't provide value, you don't pay. We've never had anyone ask.
Who this is for
CIOs, CDOs, VPs of Data, and data leaders at organizations navigating platform decisions, AI adoption, or data team growth. Whether you need a sounding board for a week or a strategic partner for a quarter, we scale to fit.