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AI • Fintech • Private Market Intelligence

AI Analyst for Private Markets

AskPC

AskPC Dashboard Preview

AskPC is an AI-powered private market intelligence platform that helps users research companies, investors, deals, financial data, and market insights through conversational AI.

RoleProduct Design | UX/UI Design
IndustryAI | Fintech | Private Market Intelligence
PlatformWebsite, Web and Mobile Application
UsersInvestors, Analysts, Founders, Business Teams

Overview

Private market research requires users to collect information from multiple sources including company financials, funding history, investor activity, and business intelligence.

AskPC simplifies this process by creating an AI-powered research workflow where users can ask questions naturally and quickly access structured insights.

The goal was to design a reliable AI analyst experience that reduces research effort and helps users make faster decisions.

Roles & Responsibilities

As the lead product designer for the AI Analyst workflow, I directed user research, interaction flows, high-fidelity UI layout schemas, and design system alignment for the conversational experience.

Product Strategy
UX Research
User Flows
Wireframing
UI Design
Design Systems
Prototyping
AI Product Design
Design QA

Brainstorming

Mapping conversational query parameters, search suggestions, visual tables, prompt interaction patterns, and response structure models on workflow whiteboard planning sessions.

AI Assistant Chat Flows and Wire-flow
Information Exploration and Architecture Design

Wireframes & Prototype

Exploring structured table schemas, company search result layouts, and dynamic sidebar filters to layout natural conversational results before detailed hi-fi design stages.

AI Chat Assistant Wireframe Interface
Search results and structured list designs
Financial information exploration interface design

Challenges & Solutions

Challenge 01: Users needed faster access to complex private market information.

Solution: Designed a conversational AI workflow that allows users to ask questions naturally and receive structured insights.

Challenge 02: Private market data exists across multiple fragmented sources.

Solution: Created a unified research experience combining company intelligence, financial information, investor data, and market insights.

Challenge 03: Traditional research requires multiple searches and manual analysis.

Solution: Designed AI-powered workflows for summaries, comparisons, financial analysis, and quick discovery.

Challenge 04: Users need confidence and trust while interacting with AI-generated insights.

Solution: Created clear response structures, organized information hierarchy, and transparent data presentation.

Before & After UX

BeforeBefore: Time-consuming manual search research workflow across multiple sources.

Before: Time-consuming manual search research workflow across multiple sources.

AfterAfter: AI-powered conversational private market intelligence.

After: AI-powered conversational private market intelligence.

Impact

200+Companies onboarded
300+Funds, HNIs & Family Office
50% FasterDeal closure process
80% FasterOnboarding experience
30% IncreaseActive session time
IncreasedReferral traffic

Final UI Gallery

AskPC landing experience

AskPC landing experience: AskPC landing experience

AI chat interface

AI chat interface: AI chat interface

Company intelligence

Company intelligence: Company intelligence

Financial insights

Financial insights: Financial insights

Investor research

Investor research: Investor research

Deal research

Deal research: Deal research

Market analysis

Market analysis: Market analysis

Private company intelligence tools

Private company intelligence tools: Private company intelligence tools

Dashboard screens

Dashboard screens: Dashboard screens

Final Output

AskPC transformed private market research by combining conversational AI with structured intelligence, helping investors, analysts, and business teams discover insights faster.

  • Simplified access to complex private market intelligence through AI conversations.
  • Reduced research effort by combining multiple data sources into one workflow.
  • Created a scalable AI-first experience for future financial intelligence products.
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