AI for data that has to be right.
Devaris trains and integrates language models for domains that cannot afford to be wrong: finance reconciliation, life sciences and mining exploration — with provenance and controls that hold up to audit and regulation.
Generic models are not enough for high-stakes data.
An off-the-shelf assistant can draft an email. It cannot responsibly reconcile a ledger, review clinical data or interpret a genome. Each of those domains runs on specific rules, specific sources and specific accountabilities — and the answer has to be defensible years later, not just plausible in the moment.
So we do the unglamorous work: fine-tune on your data, integrate into the systems you actually run, and record why every result was produced. The model is only one part of the system. The provenance is the product.
One standard, four domains
In finance, the standard is a close a CFO can sign and an auditor can follow. In pharmaceuticals, it is a result a regulatory team can stand behind. In genomics, it is a call traced back to the evidence; in mining, a resource decision a board can defend. The domain changes; the requirement does not.
We are based in Miami and work with clients wherever they are.
How we work
Understand the data
We learn the domain, its rules and its sources before touching a model — the problem first, the technology second.
Train & integrate
We fine-tune on your data and wire the model into the systems you already run, from ERP to lab pipelines.
Deliver & assure
Results with provenance, exceptions with owners, and evidence the people accountable can follow end to end.
Start with a real problem.
Bring a sample of your data and we will show you the result — and the evidence behind it.
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