Data & AI Readiness Audit
01You suspect something's wrong with your data or AI setup, but you don't have the technical depth in-house to say what, or how bad.
- System and data foundation review
- AI feasibility and risk assessment
- Prioritized roadmap for what to fix, build, or avoid
Berexia ESG LDA
Berexia's ESG reporting cycle ran 3-4 months because validation happened at the end, not the start. We moved it earlier in the workflow and got that down to 2-3 weeks.
Prepaire
Outbreak data was scattered across 5+ public health sources with no shared format, so analysts monitored everything by hand. Once we mapped where the gaps were, consolidating into one pipeline cut monitoring effort from hours to minutes.
Polymer
Predict Data's teams were stuck manually extracting from unstructured documents with no scalable process. Diagnosing the bottleneck led to a rebuild that cut processing cost by 90% and made it 100x faster.

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