Core Differentiators

Proprietary Analysis Modules

Accurate analysis through specialized finance modules 

Finance-Trained AI Models

Built from the ground up for financial intelligence 

AI Agent-Driven Workflow Automation

Automate and streamline complex workflows 

Enterprise Security

AI-Powered Financial Intelligence

Empowering corporate finance professionals with AI tools that transform the quality and speed of investment, financing, and payout decisions. 

Quality

Eliminate data integrity issues at the source.

Proprietary analysis modules connect directly with financial systems, ensuring valuations, multiples analyses, and financial statements are built on validated, normalized data without manual intervention. 

Speed

From days of modeling to minutes of insight

Purpose-built modules for valuations, multiples, statement analysis, M&A synergy, and capital structure optimization execute in parallel, delivering rapid results when market opportunities arise. 
 

Insights

Uncover hidden value creation opportunities 

Finance-trained AI models analyze patterns across valuations, statements, and market comparables to surface strategic insights that drive superior investment and financing decisions. 

Learning

Build institutional financial intelligence

AI agents continuously monitor projections and recommendations against outcomes, creating a knowledge feedback loop that improves decision quality and accuracy over time. 

Collaboration

Seamless workflows across all stakeholders 

Intelligent workflow automation routes analyses and approvals to the right stakeholders at the right time, eliminating bottlenecks in complex financial processes. 
 

Automation

Elevate finance professionals to strategic leadership 

Specialized analysis modules automate technical aspects of corporate finance, freeing professionals to focus on strategic interpretation and transforming finance into a value creation driver. 

FAQs

SOWFIN is an AI-powered platform for corporate finance. We automate complex workflows like M&A due diligence, capital budgeting, capital structure modeling, and payout policy decisions using finance-specific AI agents. Our platform reduces analysis time by up to 80% and helps teams make faster, more accurate decisions.

SOWFIN is not a general-purpose chatbot. We use agentic workflows – predefined, finance-specific processes – that ingest structured data, apply corporate finance models, and return outputs in structured formats. Our agents operate with logic and structure, not freeform generation. SOWFIN stands apart by delivering an enterprise grade AI-powered solution that combines robust analysis modules and advanced automation capabilities.  

No. SOWFIN enhances the corporate finance workflows by reducing manual analysis – especially where Excel is disconnected or time-consuming. SOWFIN’s AI-powered platform is designed to enhance – not replace – the work of financial professionals. By automating tasks and accelerating complex analysis, SOWFIN provides teams with the space to focus on high-value, strategic decision-making. Rather than eliminating roles, it empowers finance teams to do more with greater precision, creativity, and impact. AI becomes a partner that amplifies human insight and judgment, not a substitute for it. 

Yes. Outputs include source traceability and logic structure. Since many workflows involve valuation or sensitivity modeling, users can review assumptions, input data, and frameworks applied. 

The system is designed for accuracy and auditability. We apply deterministic financial logic using structured data – not probabilistic answers. We also support context retrieval to improve factual grounding.  

Each agent is pre-built for a specific workflow. Users can adjust model parameters, update assumptions, or tailor inputs – but the core process is structured to preserve accuracy. 

Yes. Security is foundational to SOWFIN. We are OWASP top 10 and NIST compliant and follow enterprise data governance protocols. Our platform is built with enterprise-grade security architecture to ensure the privacy and protection of sensitive data.

No. SOWFIN uses a zero-retention policy: no customer inputs are stored or used to improve the model. Each session is ephemeral and governed by enterprise-grade privacy controls. 

We rely on structured workflows, not open-ended generation. Each agent executes a logic-based process using retrieved data and validated inputs. The architecture includes safeguards like prompt filtering, response validation, and model fallback when uncertainty is detected. 

SOWFIN is purpose-built for two profiles: 

  1. Strategic finance teams (CFO office & corporate development)  
  2. M&A advisory and deal teams (analysts, associates, partners, investment bankers)
  • Too much time spent on manual modeling and repetitive analysis 
  • Lack of integration across data sources 
  • Limited insight generation due to tool constraints 
  • Difficulty scaling strategic finance workflows without large headcount 

We offer SaaS-based licensing with use-case-specific tiers, tailored to enterprise finance teams and deal teams. Pricing reflects the depth of workflow automation and integration support required.

We enable internal teams to run complex analysis faster, with higher confidence and lower cost. Consulting is time-consuming and expensive. SowFin delivers repeatable workflows at a fraction of the time without compromising accuracy or governance. 

Our goal is to become a trusted AI partner for corporate finance. Over time, we’re expanding our agent library to cover more strategic workflows. We’re building toward a future where finance teams run high-confidence analysis at scale: securely, quickly, and with full transparency. 

Responsible AI is a core value. We’ve embedded safeguards at every level: from input validation and model observability to copyright safety and data governance. We focus on transparency, control, and explainability in everything we build.Â