Constellation helps financial-services institutions and law firms turn their knowledge work into proprietary, local AI assets they own, keeping their judgment in-house and inference costs predictable.
01 · Security. Zero Data Retention protects your prompts and inputs, but frontier labs and third-party harnesses can still collect de-identified or derived data, synthetic data, product telemetry, evaluations, and aggregate information about how customers use a system, to create value that accrues to the models.
02 · Knowledge. The way your best people correct, rewrite, and improve AI work product is a record of how your firm thinks. Captured and governed, it becomes an asset no competitor can replicate.
03 · Cost. Routed through a locally-deployed harness, fine-tuned and post-trained models built in-house on your firm’s data will outperform frontier models on both performance and cost.
Lab is the team that deploys inside your firm, building exactly the product and infrastructure you need to turn knowledge into an asset.
We have decades of combined experience in financial services, with specific expertise in asset management. That industry knowledge sits alongside deep technical work in machine learning, AI engineering, and data engineering, to solve the trickiest problems facing financial firms.
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Atlas is the backbone for your firm’s self-improving workflows. The more your people use it, the quicker your knowledge asset accumulates.
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Credit documents carry hundreds of individual sections and thousands of cross-references. Constellation built the infrastructure and evaluations to support custom solutions.
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