Aelia

What we do

Asset management, alongside the consulting practice that founded the firm.

Two practices, shared foundations — institutional-grade data, rigorous research, and a written standard for the work we deliver.

Practice one

Strategic asset management.

Market data & intelligence

Access to the same primary and alternative data used by institutional managers — from fundamentals and filings to expert research platforms.

  • Primary market and reference data
  • Alternative and expert-network data
  • Real-time and historical coverage

Quantitative analytics

Modeling, backtesting, and risk analytics on a modern data stack — so every decision is informed by evidence, not instinct.

  • Factor and portfolio analytics
  • Backtesting and signal research
  • Risk and scenario modeling

Fundamental research

Sector, company, and thematic research — written up as theses that can be revisited, challenged, and updated as evidence changes.

  • Company and sector deep dives
  • Thematic and macro research
  • Written, revisable investment theses

Systematic strategies

Data-driven strategies that run on rules rather than moods — designed, tested, and monitored with the same rigor we apply to fundamental work.

  • Signal design and validation
  • Systematic portfolio construction
  • Live monitoring and attribution

Execution & operations

Clean execution and operational infrastructure so research translates into positions the way it was designed to.

  • Execution and venue access
  • Post-trade operations and reconciliation
  • Books, records, and reporting

Partnerships

We partner with data vendors, analytics providers, and research platforms to keep our information edge current with the broader market.

  • Vendor and platform selection
  • Integration with our data stack
  • Joint research and evaluation

Practice two

Software & business consulting.

Technical due diligence

A written assessment of a software company or product — for investors, acquirers, or boards making a bet on it.

  • Architecture, code, and team assessment
  • Risk register with likelihood and impact
  • Post-deal integration considerations

Architecture & systems review

An independent read on a system your team is building or inheriting, with a clear view of the load-bearing decisions.

  • Current-state review and trade-off map
  • Target architecture with migration path
  • Hiring and capability implications

Data platform advisory

For teams standing up or re-platforming their data stack — from warehousing and transformation to analytics and ML.

  • Data architecture and tooling selection
  • Modeling and pipeline design
  • Analytics and ML readiness

Strategy & market entry

For operators entering Mongolia or Mongolian companies expanding regionally — the research, modeling, and plan to do it seriously.

  • Market sizing and competitor landscape
  • Regulatory and operational constraints
  • Phased entry plan with milestones

Operating model design

The org chart, processes, and decision rights a growing team needs so leadership stops being the bottleneck.

  • Role and responsibility mapping
  • Decision rights and cadence design
  • Metrics and reporting baseline

Fractional advisory

Monthly retainer for founders who want an outside technical or business voice in the room — without a full-time hire.

  • Standing weekly or biweekly touchpoint
  • Async review of decisions and docs
  • Access for urgent calls as they come up

Engagement

How engagements are usually shaped.

Mandate / Sprint

On the asset side, a defined mandate with written objectives. On the consulting side, a 2–4 week sprint with a fixed deliverable.

Research / Project

Ongoing research for capital work, or 4–12 week consulting projects with defined milestones. Either way, regular written updates — not quarterly theatre.

Reporting / Retainer

Transparent performance and risk reporting for investors, or a monthly retainer for ongoing advisory where the questions change week to week.