Agentic AI workflows for private markets — configurable, auditable, compliant.

Smpler lets regulated financial institutions build and deploy AI workflows across their existing systems and data — with the governance infrastructure required to do it accurately, legally, and at scale.

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Three foundations. One platform.

Every workflow on Smpler is built on three integrated layers — making it the only platform that handles the full complexity of how private markets firms actually operate.

Data

Connect your unstructured documents and existing structured systems into a unified, workflow-ready data layer.

  • Extract and normalize data from any document format — OMs, Rent Rolls, Financials, Leases, Contracts
  • Industry-standard field definitions, aliases, and calculations built in
  • Automated data quality checks, accuracy scoring, and reconciliation alerts
  • Interoperability with your existing databases, CRMs, and portfolio systems — no data migration required

Workflows

Build configurable, auditable AI workflows that handle both unstructured and structured data — and run across your organization.

  • Structured + unstructured inputs processed in a single workflow
  • Trigger from web upload, email, or system event
  • Choose any foundation model — Anthropic, OpenAI, or others. Swap the engine, keep the workflow
  • Full audit trail on every run — every step, every data source, every output
  • Share and standardize workflows across teams and departments

Governance

Compliance is not a feature you add later. On Smpler, it is native to every workflow from day one.

  • Human-in-the-loop approval checkpoints at thresholds you define
  • Full audit trail for every agent action — required for SEC and regulatory accountability
  • Your existing policies become machine-readable rules — no retraining required
  • Hard permission boundaries — agents cannot access unpermissioned systems or data
  • Quality-control agent layer validates outputs before any end user sees them

Think of it this way: Smpler is the race car chassis. Workflows are high-performance parts engineered for your use case. Foundation models are the engine — they provide the horsepower. Select your performance, choose a provider, swap at any time. Data is your race fuel. Governance is your roll cage and protective gear. Your institutional knowledge is the driver. Smpler builds the race car. You drive it.

Governance is not optional in private markets. It is the prerequisite.

The SEC requires human accountability, auditability, and disclosure for AI-assisted investment decisions. FINRA mandates explainability. State-level AI transparency laws are expanding. For private markets firms managing pension funds and institutional capital, ungoverned AI is not a competitive risk — it is a legal one.

Smpler is the only platform purpose-built to make agentic AI deployment in regulated financial institutions legally defensible, auditable, and scalable.

Policy-to-rule translation

Upload your existing compliance documents and operating procedures. Smpler translates them into machine-readable rules — no rewriting required.

Human-in-the-loop by design

Define exactly where human approval is required. Agents cannot proceed past those checkpoints without it — by architecture, not just by policy.

Full audit trail on every run

Every step taken, every data source accessed, every human approval obtained — logged and exportable for regulatory review.

Scoped permissions per workflow

Each workflow only accesses the systems and data explicitly permitted by your governance configuration. No agent can reach beyond its defined scope.

Purpose-built for private markets.

Smpler is designed for the operational complexity of alternative asset management — where workflows are manual, data is fragmented, and every process has a compliance dimension.

Featured Use Case

Real Estate

Real estate investment firms operate across equity and debt strategies, each with distinct data inputs, regulatory requirements, and workflow complexity. Smpler's configurable architecture serves the full spectrum.

Equity — Acquisitions

Automatically read and extract key data from Offering Memorandums — removing the need to manually review 30+ page PDFs and enter data into financial models by hand.

Equity — Dispositions

Standardize Rent Rolls across properties and formats for asset valuations and commercial sales — delivered via email or web upload, ready for financial model import.

Debt — Origination

Standardize and analyze loan documentation, T12 financials, and borrower submissions — enabling faster underwriting with consistent data quality.

Debt — Portfolio Monitoring

Automate recurring data extraction and variance analysis across loan portfolios — flagging anomalies and generating standardized reports without manual intervention.

Additional Asset Classes

Private Equity, Private Credit & Secondaries

Smpler's workflow engine is asset-class agnostic. The same platform that standardizes rent rolls for real estate can process portfolio company financials for private equity, credit agreement data for private credit, or fund documentation for secondaries. Each workflow is configured to the specific data formats, calculations, and approval logic of the use case.

Specific use cases for these asset classes are being developed in collaboration with active pilot clients. Contact us to discuss your firm's workflows.

Today: human-triggered workflows. Tomorrow: fully agentic operations.

Every firm's path to AI transformation looks different — shaped by their systems, their people, and their regulatory environment. Smpler is designed to grow with you from first workflow to firm-wide automation.

01

Today — Workflow Automation

Human-triggered workflows process documents, extract data, and deliver standardized outputs. Teams save hours on tasks that previously required manual effort. Every run is auditable.

02

Near Term — Connected Intelligence

Workflows connect across departments. Data from one process feeds the next. Approval chains are automated where permitted. Exception handling routes to the right person automatically.

03

Long Term — Outcome-Based Operations

Rather than automating individual tasks, the platform orchestrates entire outcomes — a deal analyzed, a portfolio monitored, a report generated — with humans focused on judgment, not process.

What the end state looks like depends on your firm — your asset classes, your processes, your regulatory environment, and your people. We believe the firms that define this together with their technology partners, rather than buying off-the-shelf solutions, will build the most durable competitive advantage. That conversation starts with a demo.

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See Smpler in action with your workflows.

We will walk you through a live demonstration of the platform using real examples from your asset class. No generic slides — a hands-on look at what Smpler can do for your specific workflows.

If your firm manages $25B+ in alternative assets and is actively looking to deploy AI workflows, we want to talk.

Questions before a demo? Reach us directly at info@smpler.com

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