Inscope Raises $14.5M to Power AI-Enabled Financial Reporting for Enterprises

Inscope has raised $14.5 million in seed funding led by a16z to build an AI-powered financial reporting platform that automates enterprise reporting, narratives and close workflows.

Inscope, a Boston-based fintech startup building an AI-powered financial reporting platform for enterprise finance teams, has secured $14.5 million in seed funding to accelerate product development, expand go-to-market operations and scale adoption across high-growth corporations and financial services firms. The round was led by Andreessen Horowitz (a16z) with participation from SV Angel, General Catalyst, and other strategic investors — underscoring strong investor confidence in generative AI’s potential to transform back-office financial workflows.

Inscope aims to address one of the most time-intensive and error-prone areas of corporate finance: reporting, consolidation, disclosures and narrative explanation of financial results. Using large language models combined with structured ERP and accounting data, the platform automatically generates accurate, compliant and audit-ready financial reports, reducing weeks of manual work to minutes. According to Inscope’s founders, the vision is to build a Finance AI Operating System that embeds generative intelligence into core processes — from close management and variance analysis to regulatory disclosures — while adding governance and traceability required by CFOs and auditors.

With this funding, Inscope plans to accelerate commercial rollout, hire across engineering and finance domain teams, and deepen integrations with major ERP systems such as Oracle, SAP and Workday.

Key Highlights

  • $14.5M seed round: Inscope closes a $14.5 million seed funding round led by Andreessen Horowitz (a16z).
  • Enterprise focus: Capital will be used to build financial AI workflows for reporting, close, analytics and narrative generation.
  • AI-enabled reporting: The platform automates financial report drafting, commentary narratives and variance explanations.
  • ERP integrations: Deep connectors planned for enterprise systems like Oracle, SAP and Workday.
  • Investors: Participation from top firms including SV Angel, General Catalyst and strategic fintech backers.
  • Product vision: A “Finance AI Operating System” for corporate finance teams to improve accuracy and speed.

What Inscope’s Platform Does

1. AI-Driven Report Generation

Inscope’s core offering uses AI to automatically generate:

  • Financial statements and footnotes
  • Quarterly earnings narratives
  • Executive summaries tied to data trends
  • Variance analyses and commentary

Rather than relying on manual copy-paste from spreadsheets and ERP extracts, finance teams can now produce consistent, audit-ready language backed by real data.

2. Enhanced Close and Consolidation Workflows

Financial close processes, especially in larger organisations, involve reconciling multiple subsidiaries, business units and accounting systems. Inscope streamlines this by ingesting structured data and producing consolidated reports with built-in controls to trace the provenance of figures — a major efficiency gain for controllers and CFOs.

3. Compliance and Governance

By building audit trails into generated outputs and documentation, Inscope’s platform aims to reduce operational risk and support compliance functions. The system can help organisations adhere to regulatory reporting requirements, internal control frameworks and external audit standards.

Why This Matters

1. Automating Time-Consuming Manual Work

Finance teams spend a large portion of their time gathering data, drafting narratives and reconciling figures across disparate systems. Inscope’s AI platform promises to automate significant portions of this workflow — saving time, reducing errors and allowing teams to focus on analysis, strategy and decision support.

2. Bridging Narrative and Data

One of the toughest aspects of corporate reporting is combining structured financial data with human-quality narratives that explain performance, trends and risks. Inscope’s use of generative AI helps bridge that gap, producing coherent explanations tied directly to underlying numbers.

3. Strategic Investor Support

The backing from Andreessen Horowitz, SV Angel and General Catalyst — investors known for early support of transformative enterprise tech — signals belief in AI’s role in reshaping finance operations, beyond typical customer support or analytics use cases.

Market and Competitive Context

The enterprise finance software market is rapidly embracing AI and automation as CFOs seek to improve efficiency, accuracy and scalability. Competitors in adjacent areas such as close automation and financial consolidation include Workiva, BlackLine, FloQast and OneStream, but few offer narrative generation tightly coupled with structured reporting. Inscope’s focus on AI-native workflows positions it at the intersection of ERP reporting, analytics and modern AI capabilities.