PAIRS gives institutional investment managers real-time portfolio intelligence across private assets — built by a Goldman Sachs partner who managed these portfolios without it.
Investment managers and LPs have spent decades applying institutional rigour to public market portfolios — real-time risk systems, stress testing, attribution analysis. Private markets receive none of it.
The result: fragmented reporting, opaque concentration risk, and investment committees making decisions from monthly PDFs with no consistent analytical framework behind them.
After leaving Goldman Sachs, I found myself managing private asset portfolios with no purpose-built risk system. The industry was — and largely still is — running on spreadsheets.— Jason Ekaireb, Founder, Altura Analytics
PAIRS is built as a structured stack — from raw data ingestion to AI-enhanced interpretation. No layer is opaque. No calculation is invisible.
Transforms client data into Altura's analytical schema. Bring-your-own-key encryption is applied end-to-end, with full evidence of access. Your data, encrypted with your keys, never leaving your environment.
Data SovereigntyConnects to existing operations platforms through an open data specification and lightweight API adapters. No workflow changes required. No data leaves the client environment. No disruption to how you work today.
Zero DisruptionQuantifies exposure, concentration and sensitivity using consistent, fact-based frameworks across portfolios and time. Every number traceable to source data. No PD or LGD black boxes.
Transparent CalculationsCommon drivers, metrics and stress parameters make results comparable within and across strategies. Simulation-driven, not model-dependent. Designed for IC-level interrogation.
Standardised RiskNatural language queries and automated risk summaries surface key drivers and portfolio changes — directing attention to where it matters most, before the next IC meeting.
Decision SupportWorking with a select group of institutional managers to validate the analytics against live portfolios ahead of a broader release.
Request access →When a client needs a new metric, a revised methodology or a different analytical view, the next release has it — fully specified, independently tested and traceable to source.
Every calculation is formally specified before it is built, registered in a governed methodology library, and verified by an independent acceptance test suite before deployment. Zero silent failures, by design.
There are no lengthy onboarding projects. No change request processes. No professional services engagement to get what you need.
Existing private markets software is built on architectures that are years old. Feature requests enter queues. Implementations take months. None of that applies here.
New metric or analytical feature requested — specified, built, tested and deployed in the next release cycle. No enterprise change process. No long roadmap conversation.
Before any metric is built it is defined — inputs, formula, edge cases, expected output. No calculation exists without a registered specification. Every number has a complete paper trail.
An independent acceptance test suite runs against every build. Results verified to penny-level accuracy against reference outputs. No release ships without a clean test run.
Any output can be traced back through the calculation chain to source data. Clients and their auditors can interrogate any number at any level of the stack.
A consistent analytical layer enables a unified view of exposure, resilience and composition — regardless of asset class or instrument structure.
Yield, stress loss and runway to loss for forward-looking resilience. Instrument-level cashflow projection with full PIK, amortisation and fee schedule support.
Coverage, cashflow stability and concentration across diversified project portfolios. Revenue risk decomposition and drawdown sensitivity analysis.
Income resilience, collateral performance and concentration using factual distribution-based metrics. Valuation vintage tracking and LTV stress testing.
Exposure concentration, liquidity timelines and vintage distribution for portfolio-level oversight. TVPI, DPI and runway analytics for institutional LP reporting.
PAIRS is structured around the distinct functions of an institutional investment team — each role accessing the analytics relevant to their responsibilities, with a full evidence trail behind every action.
Full platform access across dashboard, portfolio reporting, pipeline management, compliance monitoring and counterparty oversight.
Deal origination and pipeline management. New deal entry, cashflow modelling and counterparty management ahead of credit approval.
Fund-level financial management including capital accounts, fee calculations, distributions and fund financials across vehicles.
Portfolio risk oversight including concentration analysis, stress testing and scenario modelling — designed for independent risk function use.
Regulatory oversight and investment guideline monitoring. Covenant tracking, breach alerts and audit-ready compliance reporting.
LP-facing reporting and export centre. Consistent, audit-ready fund communications and portfolio analytics for LP due diligence.
Every architectural decision in PAIRS reflects a deliberate choice — privacy by default, transparency over opacity, practitioner judgement over academic models.
Bring-your-own-key encryption keeps ownership, keys and evidence of access entirely with the client. Sovereignty is not a feature — it is the architecture.
Founded by a former Goldman Sachs partner with 30+ years of direct GP and LP experience. The analytics reflect how investors think about risk — not how quants prefer to model it.
Unstructured, client-specific data is transformed into a consistent analytical schema — creating comparability across instruments, vintages and portfolios where none existed before.
PAIRS is designed to connect to your existing operations without disruption. No implementation programme. No data migration. No six-month professional services engagement before you see value.
Every calculation specified, registered and tested. Every release verified. Every output traceable to source data. Built to meet the evidence standards institutional allocators and regulators demand.
New requirements from your IC, your LP base or your regulator? They land in the next release — not six months from now. PAIRS evolves at the pace your business demands.
After leaving Goldman Sachs, Jason Ekaireb found himself managing private asset portfolios across multiple strategies and geographies. The same problem appeared everywhere: no purpose-built risk system existed for private markets.
Public markets had Bloomberg. Private markets had Excel. Portfolio managers were spending weeks rebuilding cashflow models, manually aggregating exposures, and producing LP reports that couldn't answer the most basic questions — what is my runway to loss on this position? Where is my concentration risk?
PAIRS is the system Jason needed but couldn't find. Built with the analytical rigour of a Goldman Sachs risk desk and the practical judgement of someone who has sat on both sides of the GP/LP relationship, across multiple strategies and market cycles.
Altura Analytics was founded in October 2025 and is currently working with a select group of institutional managers to validate the platform against live portfolios.
PAIRS is built for institutional investment managers who expect real-time intelligence, transparent calculations and a platform that keeps pace with their business. Schedule a call to discuss your requirements.
