- ENTERPRISE
Deploy financial AI that holds up under scrutiny
The most dangerous financial AI errors look right
In finance, a plausible answer isn't enough
Context matters
The same financial data can lead to different conclusions depending on assumptions, deal structure, and market conditions
Consequences are real
Errors in valuation, risk assessment, or capital structure can materially affect investment and financing decisions
Structurally complex
Financial workflows require consistent reasoning across source documents, assumptions, calculations, and recommendations
What Proxion delivers
Training data
Reasoning traces, worked solutions, and structured datasets grounded in institutional finance workflows
LBO and DCF models, credit memos, covenant analysis, merger models, trading comps
RLHF & preference data
Expert rankings and corrected responses that distinguish sound financial reasoning from plausible but flawed analysis
Pairwise comparisons, critiques, and rewrites for post-training and alignment
RL environments
Multi-step financial workflows with interactive tools, explicit evaluation criteria, and verifiable outcomes
Financial models, filings, deal documents, and structured reward signals
Evals & benchmarks
Custom evals and ProxionBench, our financial reasoning benchmark, designed to measure performance on complex financial tasks
Calculation accuracy, assumption selection, cross-statement consistency, and decisions under uncertainty
Expert output grading
Finance professionals evaluate model outputs against structured rubrics for accuracy, rigor, and reasoning quality
Structured scoring, qualitative feedback, and model performance comparisons
Red teaming & stress testing
Adversarial financial scenarios that find where a model breaks before deployment
Edge cases, conflicting evidence, incomplete data, and numbers that don't tie out
How it works
Scoped in days, delivered on your timeline
Define the brief
We align on your objectives, target tasks, output formats, and evaluation criteria
Scope and structure
We translate requirements into detailed task specifications, evaluation rubrics, and workflows matched to the right finance specialists
Expert execution
Finance professionals develop financial models, investment analyses, reasoning traces, and domain-specific training and evaluation tasks
Validate and deliver
Outputs undergo structured quality checks, logic validation, and independent expert review before delivery in your required format
Quality & standards
Every contributor clears a seniority and domain expertise threshold before working on client projects
Who is in the network
Professionals from bulge bracket banks, elite boutiques, private equity and credit funds, hedge funds, and institutional asset managers
Baseline seniority
Associate and above
with hands-on institutional finance experience
Operating standards
Mutual NDAs, controlled access, documented QA, and full IP ownership of commissioned deliverables transferred to the client upon delivery
Bring us your hardest financial AI problem
Tell us what you're building
We'll help scope the training data, evals, and expert workflows it needs
Responses within one business day
All conversations are confidential