Decisional AI

Based in San Francisco, California, Decisional AI develops self-healing automation agents that allow users to build, test, and execute business workflows using natural language commands. The platform targets financial analysts and investment professionals by automating routine tasks such as data collection, competitive analysis, and comprehensive report preparation. To facilitate these operations, the system features specialized tools for organizing key metrics and extracting insights from multiple disparate sources. The software integrates with multiple artificial intelligence models and processes documents across standard formats including Microsoft Excel, PowerPoint, and Word. Operating with a team of three employees, the startup utilizes agentic retrieval-augmented generation to achieve up to 4.1 times greater accuracy in its automated responses. Backed by seed funding from Y Combinator, Decisional AI was founded in 2024 by Dhruv Tandon, Sai Neeraj Kanuri, and Adit Sanghvi.

Decisional AI - Autonomous AI Agents for Spreadsheet-Based Operations

High-Level Overview

Decisional AI is a cutting-edge startup founded in 2024 that builds autonomous AI agents designed specifically for financial analysts working with spreadsheet-based operations and complex financial data. Their product, known as a "Knowledge Engine," automates and streamlines tedious tasks such as data entry, document processing, and due diligence by integrating multiple data sources (Excel, PDF, PPT, DOCX) with advanced OCR and AI grounding techniques. This allows financial professionals—especially in private markets, private equity, real estate lending, and family offices—to save hours on grunt work and focus on higher-value strategic analysis[1][3][4].

For an investment firm, Decisional AI represents a mission-driven company focused on revolutionizing financial analysis through AI, with an investment philosophy centered on leveraging AI to enhance productivity and accuracy in finance. Their key sectors include private markets, private credit, and real estate lending. Their impact on the startup ecosystem is significant as they pioneer AI-native workspaces that improve transparency, reduce manual errors, and accelerate decision-making in financial services[1][2].

For a portfolio company, Decisional AI builds a product that serves financial analysts and investment professionals by solving the problem of inefficient, manual data handling and analysis. The company’s growth momentum is fueled by its unique AI agent technology that delivers up to 4.1x greater accuracy with fewer hallucinations, enterprise-grade APIs, and a secure, transparent environment for financial workflows[4].

---

Origin Story

Decisional AI was founded in 2024 in San Francisco by three co-founders: Dhruv Tandon (CEO), Adit Sanghvi (CTO), and Sai Neeraj Kanuri. Dhruv’s background as a financial analyst and product manager at fintech and investment firms inspired the creation of an AI agent to automate the repetitive and time-consuming tasks he experienced firsthand. Adit, a Carnegie Mellon graduate with deep expertise in machine learning and AI, and Neeraj, an engineer with experience building financial infrastructure at Razorpay, joined forces to build the AI "brain" and distributed systems behind the product[1][3][4].

The idea emerged from recognizing the widespread inefficiencies in financial services, where professionals spend excessive time on manual data entry, copying tables from PDFs to Excel, and managing siloed data. Early traction came from interest by private equity, family offices, and credit funds who saw immediate value in automating due diligence and portfolio management workflows[1][3].

---

Core Differentiators

• Product Differentiators: Decisional AI offers a unique AI-native workspace called a Knowledge Engine that integrates multiple document formats with OCR and agentic retrieval-augmented generation (RAG) to ensure AI outputs are grounded in verifiable sources, reducing hallucinations and increasing trust[4].

• Developer Experience: The platform provides enterprise-grade APIs allowing seamless embedding of AI agents into existing workflows, supporting data security policies and customization[4].

• Speed, Pricing, Ease of Use: By automating grunt work like data extraction and entry, Decisional AI accelerates financial analysis processes, saving analysts hours daily. The transparent citation system and sandbox environment enhance usability and compliance[4].

• Community Ecosystem: The founders’ backgrounds and network in fintech, investment funds, and AI research foster a strong ecosystem of early adopters and collaborators in private markets[1][2].

---

Role in the Broader Tech Landscape

Decisional AI rides the wave of AI democratization and automation in finance, where traditional tools like Bloomberg terminals and Excel are increasingly insufficient for the scale and complexity of modern data. The timing is critical as AI models evolve rapidly toward higher intelligence and reliability, enabling "superhuman" capabilities for financial professionals. Market forces such as the explosion of data, demand for faster due diligence, and regulatory pressures for transparency favor solutions like Decisional AI that combine AI precision with auditability[2][4].

By introducing AI agents that operate with full citations and audit trails, Decisional AI influences the broader ecosystem by setting new standards for AI transparency and trustworthiness in financial workflows, potentially reshaping how private market analysis is conducted globally[4].

---

Quick Take & Future Outlook

Decisional AI is poised to expand its footprint by deepening integrations with private market firms and broadening its AI capabilities as models improve. Future trends shaping its journey include advances in large language models, increased regulatory focus on AI transparency, and growing demand for automation in financial services. The company’s influence will likely grow as it helps transform financial analysis from manual, error-prone processes into AI-augmented, highly efficient workflows.

As AI becomes an indispensable tool for financial professionals, Decisional AI’s Knowledge Engine concept could become a foundational technology, enabling a new era of "bionic" financial professionals who collaborate seamlessly with autonomous AI agents to unlock deeper insights and faster decisions[2][4].