InsightPilot

Summary

"Stop Guessing. Start Commanding." InsightPilot is an enterprise intelligence system that transforms raw data into executive-grade strategy with AI-powered natural language queries. No dashboards. No SQL. Just answers. With 50+ beta users and 500+ queries processed, it delivers instant insights from 10+ data sources. Ask questions like "What were my top 10 customers last quarter?" and get charts, narratives, and shareable reports in seconds.

Features

• Natural Language Core - Query entire data warehouse like talking to your smartest analyst
• Real-Time Synthesis - Correlates and synthesizes millions of rows into strategic narratives
• Sovereign Security - SOC2 Type II compliant, private VPCs for enterprise, data never trains public models
• Smart Visualizations - AI auto-selects optimal chart type (bar, line, pie, scatter)
• Data Anchoring - Every AI claim is cited with source rows, SQL queries, and confidence intervals
• Shareable Reports - Generate public URLs with time-based expiration for team collaboration
• Multi-Source Integration - CSV upload (50MB) + Google Sheets live sync + 10+ data sources

Architecture with Real-Life Usecase

The Executive Intelligence Pipeline

When an executive asks: "What were my top 10 customers last quarter?"

1. Natural Language Understanding (instant) → Context-aware parsing with business logic
2. Data Warehouse Query (1 sec) → Multi-source correlation and aggregation
3. Real-Time Synthesis (2 sec) → AI analyzes patterns, trends, and anomalies
4. Smart Visualization (instant) → Auto-selects chart type for maximum clarity
5. Data Anchoring (instant) → Citations with source rows and confidence intervals
6. Strategic Narrative (2 sec) → Executive summary with actionable insights
7. Shareable Report (instant) → Generate collaborative URL with access controls

Total: 5 seconds vs. 2-3 days (traditional analyst workflow)

Real-World Outcome

Traditional BI Approach:

• Submit request to data team → 2-day backlog
• Analyst builds SQL query → 1 hour
• Create dashboard → 2 hours
• Review and iterate → 1 day
• Total: 3+ days

InsightPilot Approach:

Executive asks: "Which products drove Q4 revenue growth?"

Results in 5 seconds:

1. Smart visualization showing revenue by product with trend analysis
2. Data-anchored insight: "Widget C drove 42% of growth with $3.2M in Q4, up 156% from Q3" [Source: rows 1,234-1,567]
3. Real-time synthesis of market patterns and causal factors
4. Strategic narrative with confidence intervals
5. Shareable report URL for board presentation

✅ Result: Executive-grade intelligence vs. 3-day analyst backlog

Tech Stack

• Frontend: Next.js 14 (App Router), TypeScript, Tailwind CSS, Plotly.js
• Backend: FastAPI, Python 3.11+, SQLAlchemy (async)
• LLM: Groq API (Llama 3.3-70B) - Fast inference (300-500 tokens/sec)
• Databases: PostgreSQL (Neon Cloud), DuckDB (analytics), Redis (caching)
• Integrations: Google Sheets API (OAuth2), JWT authentication

Key Technical Achievements

• Context-Aware Intelligence: Natural language understanding that grasps business context, not just keywords
• Multi-Source Correlation: Real-time synthesis across 10+ data sources with causal analysis
• Data Anchoring System: Click any AI claim to reveal source rows, SQL queries, and confidence intervals
• Sovereign Security: SOC2 Type II compliance with private VPC deployment for enterprise customers
• Smart Chart Selection: AI analyzes query intent and data structure to pick optimal visualization
• Production Scale: Serving 50+ beta users with 500+ queries processed at sub-5-second response time

Architecture Highlights

Natural Language Processing:

User Query → Sanitization → Schema Context Injection → 
Groq LLM Prompt → SQL Validation → DuckDB Execution → 
Plotly Chart Config → AI Narrative → Shareable Report

Security Layers:

• Rate limiting: 2 queries/day (free), 50/day (pro)
• SQL injection prevention via parameterized queries
• File upload validation and size limits
• JWT access/refresh token rotation
• Project-based access control

Real-World Impact Example

Executive Team at Growing Startup

Before InsightPilot:

• Weekly data requests submitted to 2-person analytics team
• 3-5 day turnaround for custom analyses
• Board meetings delayed waiting for reports
• Critical decisions made on incomplete information

After InsightPilot:

• Self-service executive intelligence in 5 seconds
• Real-time answers during strategy sessions: "Show customer retention by cohort"
• Board reports generated instantly with data-anchored claims
• Strategic pivots executed same-day based on synthesized insights

Measurable Impact:

• Time Saved: 15 hours/week per executive (no analyst dependency)
• Decision Speed: Same-minute vs. 3-5 day lag
• Cost Reduction: $29/mo vs. $50k/year analyst salary
• Beta Traction: 50+ users, 500+ queries, 10+ data sources integrated

Development Journey

Technical Challenges Overcome

1. Natural Language Ambiguity

   • Problem: "Show sales" could mean revenue, units, or growth rate
   • Solution: Context-aware NLP with business domain understanding and clarification prompts

2. Data Anchoring Reliability

   • Problem: AI hallucinations in traditional systems erode trust
   • Solution: Citation system linking every claim to source rows, SQL queries, and confidence scores

3. Multi-Source Correlation

   • Problem: Synthesizing insights across disparate data sources (CRM, analytics, financial)
   • Solution: Real-time data correlation engine with causal analysis capabilities

4. SOC2 Compliance at Scale

   • Problem: Balancing speed with enterprise-grade security requirements
   • Solution: Private VPC architecture with data sovereignty guarantees and annual security audits

5. Executive-Grade Narratives

   • Problem: Technical data dumps don't translate to strategic insights
   • Solution: LLM fine-tuning for business context with strategic framing and actionable recommendations

Performance Benchmarks

• Query Response Time

  • Target: < 5 sec
  • Achieved: 2–3 sec

• Multi-Source Correlation

  • Target: < 10 sec
  • Achieved: 5–8 sec

• Chart Rendering

  • Target: < 1 sec
  • Achieved: 0.3 sec

• Beta User Adoption

  • Target: 20 users
  • Achieved: 50+ users

• Queries Processed

  • Target: 100 queries
  • Achieved: 500+ queries

• Data Sources Supported

  • Target: 5 sources
  • Achieved: 10+ sources

Resources & Links

• Live Platform: insightpilot.thevanshgarg.com
• GitHub: github.com/vanshxdevs
• Beta Access: Free tier with 2 queries/day (no credit card required)
• Pro Waitlist: $29/month for unlimited queries (launching soon)

For Employers & Collaborators

What This Project Demonstrates:

• Enterprise AI Engineering: SOC2-compliant system serving 50+ beta users with real-time intelligence
• Context-Aware NLP: Transforms plain English into strategic insights with data anchoring
• Production Architecture: Multi-source correlation engine processing 500+ queries at scale
• Security-First Development: Private VPC deployment with sovereign data guarantees
• Product-Market Fit: Beta traction with 10+ data sources and growing user base
• Full-Stack Ownership: From architecture to deployment, security to UX optimization

Open to Discuss:

• Technical implementation of data anchoring and citation systems
• SOC2 compliance strategies for AI systems
• Multi-source correlation and real-time synthesis architecture
• Scaling from beta (50 users) to production (1,000+ users)
• Monetization strategy (free → $29/mo pro tier launching Q1 2026)

Contact: Available for technical interviews or architecture deep-dives

Project Status

Current: Beta (v1.0) - Live at insightpilot.thevanshgarg.com
Traction: 50+ beta users • 500+ queries processed • 10+ data sources
Next Milestones:

• Pro tier launch with 50+ queries per day($29/mo)
• Advanced model integration for deeper analysis.
• Team collaboration features and workspaces.
• Enterprise tier with private VPC and custom integrations.