Sarthak Nimbalkar

Sarthak Nimbalkar is an independent software engineer and the creator of openOM, the open standard for machine-readable, verifiable data embedded in commercial real estate offering memoranda. He has shipped production systems with real users since 2019 and writes field notes on building software that runs without you.

Credentials

• Best Commercial Real Estate Database Software Guide

  Compare top commercial real estate databases, property platforms, PostGIS spatial layers, and pipeline architectures across operational portfolio tiers.

• What Is OM in Finance? Role, Terms & Underwriting

  What is OM in finance? Discover how offering memorandums structure private placements, regulatory terms, and real estate underwriting.

• openOM vs Cherre: CRE Data Standardization Comparison

  Compare openOM and Cherre for CRE data standardization. Evaluate document payloads, entity resolution, costs, and knowledge graphs to choose the right fit.

• openOM vs Crexi: Offering Memoranda & Deal Platforms

  Compare openOM vs Crexi for offering memorandum workflows. Evaluate NDA delivery speed, document gating, data layers, and structured CRE datasets.

• CRE Data Quality Standards: Enterprise & MSCI Rules

  Commercial real estate data quality standards require pro rata financial reporting, 100% physical telemetry, and strict metadata controls.

• Automate Offering Memoranda Processing | Compliance

  Automate offering memoranda processing for compliance. Learn how AI document ingestion and audit workflows protect underwriting models.

• Embedded Data Verification in CRE: Transparency Guide

  Embedded Data Verification in Commercial Real Estate explained: how it works, which data sources benefit most, compliance requirements, and transaction

• Data Quality Standards in Commercial Real Estate OMs

  Data quality standards in commercial real estate OMs: 5 pillars, anomaly detection, reconciliation benchmarks, and disclosure frameworks.

• True Cost of Manual Data Entry in CRE

  Manual data entry in commercial real estate costs $15K, $30K annually per property in lost revenue, plus 8 to 15% error rates in lease abstraction.

• Structuring Property Data: CRE Tech Stack

  Learn how standardized property data structures reduce silos, cut manual entry, and enable consistent underwriting across your CRE technology tools.