Unified access to enterprise data for finance workflows.

Analysts in financial services spend 4–5 hours per day on manual data gathering and preparation. Automated integration can reduce that by 2.5–4 hours per day.

Solution

A tenant-owned Azure application that creates a secure, centralized access layer across internal systems. Analysts use existing tools—starting with Excel—to query data without manual exports or duplication.

Tenant-owned deployment

Runs inside the customer's own Azure environment. No vendor-hosted data stores. The application belongs to the tenant.

Unified query interface

Excel add-in, direct API access, and an optional AI-assisted query layer. Analysts work in the tools they already use.

Heterogeneous system support

Connects across accounting platforms, ERPs, CRMs, and file stores. One integration layer replaces dozens of manual exports.

Value

A tenant-contained architecture that unifies fragmented systems without centralizing data. Firms get immediate value without the long deployments, security tradeoffs, or workflow changes required by traditional BI and integration tools.

Why Now

  • Firms operate more disconnected systems than ever.
  • Manual data movement increases compliance risk.
  • Analysts still rely on Excel, but existing tools require heavy setup or data warehousing.

Differentiation

Original flow With Stingray
Login to system A, B, C separately Login automatically handled
Download three separate reports Unified query language to download one consolidated report
Merge reports manually in Excel Reports merged automatically

Positioning vs. incumbents

BI tools

Dashboard-first. Require a warehouse underneath. Analyst must wait for engineering to build pipelines.

ETL platforms

Pipeline-heavy. Engineering-owned. Analysts have no direct access to the integration layer.

Enterprise platforms

Expensive licenses. Long deployment timelines. Often overkill for mid-market finance workflows.

Stingray

Analyst-first. Tenant-deployed. Fast time-to-value with minimal engineering lift.

Potential Audience

Private equity and investment firms

Managing multiple portfolio companies with fragmented reporting across holdings.

Asset managers and family offices

Operating across multiple legal entities with inconsistent data access.

Finance and operations teams

Relying on Excel for recurring reporting across disconnected internal systems.

Security Model

Designed for minimal data custody.

  • Runs inside the customer's own environment. The vendor does not host client data.
  • Secrets and access credentials remain under client control at all times.
  • No centralized data warehouse operated by the vendor. Query results stay within the tenant perimeter.

Roadmap

  1. Secure non-dilutive funding
  2. Obtain registrations and third-party audits
  3. Secure pilot companies
  4. Secure seed funding
  5. Obtain first enterprise client
Investor memo

Analysts in financial services spend 4–5 hours per day on manual data gathering and preparation. Automated integration can realistically reduce that by 2.5–4 hours per day.

Stingray is a tenant-owned Azure application that creates a secure, centralized access layer across internal systems. Analysts use existing tools—starting with Excel—to query data without manual exports or duplication.

The architecture is tenant-contained: it unifies fragmented systems without centralizing data. Firms get immediate value without the long deployments, security tradeoffs, or workflow changes required by traditional BI and integration tools.

The deployment model is a structural advantage. Because the product runs in the customer environment, it sidesteps data custody concerns that slow down sales cycles for centralized SaaS products in financial services.

The initial market is private equity and investment firms managing multiple portfolio companies, asset managers operating across legal entities, and finance teams relying on Excel for recurring reporting.