Somnium builds the layer between your warehouse and your business — governed semantic models, tested dbt pipelines, and data foundations that AI applications can actually be trusted to query.
Most analytics problems are not dashboard problems. They are definition problems, and they get solved upstream.
One versioned definition per metric, with lineage back to the models, served through a single API to BI tools, notebooks and AI agents. Built in Cube.dev, dbt Semantic Layer or LookML.
Layered bronze / silver / gold architecture on Snowflake, Redshift or BigQuery, with automated data quality testing, freshness monitoring and CI/CD so nothing reaches production untested.
Fragmented reporting stacks turned into standardized, reusable data products. Superset, Preset, Looker, Power BI and Tableau — including moving metric logic out of dashboards and into the model.
Retrieval over embedded stores, MCP servers giving models governed warehouse access, and the semantic contract underneath — so an LLM answers a business question correctly, not just plausibly.
Built and owned end to end for a US client over two years. Figures are aggregate; client details stay confidential.
Registered consultancy operating in Guatemala since 2015, with electronic invoicing and W-8BEN. No entity to set up, no payroll to run, no EOR in the middle.
Guatemala is GMT-6 year-round with no daylight saving. Full-day overlap with US hours that stays the same in January and in July.
Scoped engagements with defined milestones, or ongoing capacity for consultancies that win more implementation work than they want to staff internally.
If three teams report three different numbers for the same thing, that is a conversation worth having. No sales process — just a conversation.