01Federation
The question
crosses systems.
Explore an analysis across connected data sources. Follow how a business question becomes a query, and see which sources contribute to the answer.
Data sources → Query → Answer
Era Foundry / Flagship product
Decisions should
not wait in the
analyst queue.
Meet Lumina. Federated answers that show their work, built for the questions that cross systems and the people who have to defend the answer.
In development. Available for a founder-led demo.
FRAGMENTED DATAGOVERNED ACCESSDEFENSIBLE DECISIONS
01 / The product
Three jobs.
One inspectable answer.
Lumina is Era Foundry’s flagship product. The demo follows three parts of the same workflow: finding the data, understanding its meaning, and reviewing the answer.
The question
02Semantic layer
Your language.
Your data’s meaning.
Walk through the business glossary, proposed terms, and their connection to the underlying schema. Review the definitions behind the question.
Schema → Terms → Review
03Evaluation
An answer is
the starting point.
Look beyond the result. Review the generated SQL, sources, confidence, and caveats with the founders, including where an answer needs closer inspection.
Result → Evidence → Judgment
02 / The demonstration
Healthcare is the
proving ground.
Not the boundary.
Start with public CMS data. Bring the questions from your own world.
The existing Lumina demonstration uses healthcare questions to make the analysis concrete. In a founder-led session, we walk through the question, inspect the evidence, and discuss how that workflow relates to your data.
See the CMS demonstration03 / Governance
Ask how the
answer was made.
A consequential decision needs more than a plausible response. These are the questions we invite you to bring to the demo.
Access and identity
Whose data is being queried? How are the user, tenant, and connected sources identified?
Policy at query time
Which rules apply to the question? What happens when a query encounters a restricted column or row?
Evidence and review
Can you inspect the SQL and sources? What should a reviewer check before acting on the result?
04 / Use cases
Different operations.
The same hard question.
The pattern repeats: a question crosses systems, analyst capacity is scarce, and the answer must survive review.
Health plans
CMS demonstrationHow do marketplace premiums change as people age?
A concrete starting point for discussing rate analysis, source data, and the limits of an interpretation.
Financial services
Discussion scenarioWhere is portfolio performance changing across branches?
A representative question for exploring the relationship between lending, servicing, and financial data.
Retail & operations
Discussion scenarioWhere does inventory fall short of fulfillment demand?
A representative question for discussing stock, locations, and operational capacity across systems.
05 / The company
Lumina is built
by Era Foundry.
Era Foundry Inc. is a Delaware C corporation. Lumina is our flagship product, in development and ready to demonstrate.
- Legal entity
- Era Foundry Inc.
- Incorporation
- Delaware · C corporation
- Contact
- info@erafoundry.ai
- Website
- www.erafoundry.ai
A conversation with the founders
Bring a question.
See the work behind the answer.
Walk through Lumina with the people building it.
Discuss your data, your review process, and what you need to see.