Underwrite Equipment & Robots. Faster and Better.

Asariri builds intelligence infrastructure for equipment finance. From document extraction to residual curve prediction, our CoSign platform gives lessors same-day decisions on deals that used to take a week.

For industrial equipment. For robots. For every asset class where the collateral is smarter than the spreadsheet pricing it.

Geometric robot sculpture made of stone blocks

The problem

$4 trillion in equipment assets priced by quarterly PDFs and institutional memory.

Mid-market lessors set residual values using guides with a six-month lag, per-asset appraisals at $5,000 each, and senior analysts approaching retirement. A 5% residual error on a $500M book is $25M in unexpected losses. The industry has zero AI-native intelligence infrastructure.

CoSign is the first.

Robots are not forklifts

Traditional models assume smooth depreciation. Robots depreciate in cliffs.

A cobot with a discontinued controller drops 50% the week firmware support ends. Software lifecycle state, OEM solvency risk, and redeployment market breadth are underwriting variables no existing system captures. Every robotics deal today is a one-off structured credit exercise.

CoSign prices the cliff probability, not just the mean.

CoSign platform

Price the asset. Underwrite the deal. Predict the residual. All before lunch.

CoSign ingests internal portfolio data, external market signals, and multimodal documents. It orchestrates specialized agents for pre-underwriting, runs explainable underwriting models, and generates forward residual curves.

Three capabilities. Order of magnitude better portfolio risk management.

Multimodal data ingestion

Auction records, marketplace listings, telematics feeds, broker document packages, financial statements, OEM bulletins. Internal and external. Structured and unstructured. All normalized into one collateral intelligence graph.

Agentic orchestration

Specialized agents handle document extraction, serial number verification, credit data aggregation, and mandatory checklist enforcement. Each agent is auditable. The workflow adapts to deal complexity: flow deals auto-decision, structured deals route to human judgment.

Explainable underwriting models

Composite risk scores weight credit, collateral, and deal quality by product type. Conformal prediction intervals quantify confidence. Every score traces back to the data that produced it. Examiners see the reasoning, not a black box.

The haircut advantage. Better data means tighter residual assumptions. Tighter assumptions mean higher advance rates. Higher advance rates win the deal.

See the platform

How CoSign compares

The industry runs on tools built before the assets got intelligent.

CoSignEquipmentWatchManual / in-house
Valuation update frequency Daily, automatedQuarterly indicesAd-hoc, per-deal
Granularity Configuration-level (make/model/year/options)Model-level averagesVaries by analyst
Forward residual curves 12/24/36-month projections with confidence bandsHistorical depreciation tablesAnalyst judgment
Robotics coverage Cobots, AMRs, industrial arms, humanoidsNoneNone
Document pre-underwriting Agentic extraction, verification, checklistsNot offeredManual, 5-7 days
Risk scoring Composite (credit + collateral + deal), explainableNot offeredSpreadsheet models
Time to indicative terms Same dayN/A5-7 business days
Software obsolescence modeling Firmware EOL tracking, bimodal distributionsNot applicableNot considered

See what your deals look like with better collateral intelligence.

We will run CoSign on a sample from your book. No integration required.