About
NexQion Analytics

Governed quant workflows for investment teams — institutional analytics methods, human approval checkpoints, and audit-ready reporting, built by practitioners for regulated environments.

The platform

What we build

Alpha Quant Agent is a governed analytics platform for investment teams. It combines a curated library of institutional quant methods with human approval checkpoints and audit-ready PDF reporting — delivered on your Azure environment, with your data staying in your control.

Who we work with

Built for investment teams

Hedge funds & asset managers

Risk committee packs, model validation, LP reporting — governed workflows that close the gap between analytical rigour and audit-ready output.

Quantitative research teams

Walk-forward validation, factor attribution, and institutional-grade backtesting — with reproducible runs and explainable outputs.

Family offices & private investment offices

Institutional-quality risk reporting and LP communications, without the cost of building a quant team or internal infrastructure.

Risk & portfolio management teams

Factor attribution, stress scenario analysis, and risk committee packs — with full audit trail and explicit approval checkpoints.

Philosophy

Our approach

Finance-native

Built by someone from the industry, not just for it. Deep familiarity with the workflows, regulatory constraints, and data environments of investment management and quantitative research.

Engineering-driven

Production-grade systems with enterprise security, auditability, and maintainability built in from day one. No shortcuts, no throwaway prototypes.

Outcome-focused

Success is measured in faster research cycles, better decision support, and audit-ready outputs — not hours billed. Every engagement has a defined deliverable.

Founder

Who builds this

Soheil Shams
Founder

Soheil Shams

Background in quantitative research and investment management. Builds and maintains Alpha Quant Agent end-to-end.

Engagement Model

Working with us

delivery timeline

Phase 1

Discovery call

Initial conversation to understand your challenges and objectives.

Phase 2

Workshop

Deep-dive session with your team to map requirements and constraints.

Phase 3

Proposal

Detailed scope, timeline, and pricing for your review.

Phase 4

Delivery

Iterative development with regular check-ins and knowledge transfer.