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Market AI

AI-Powered Pharma Intelligence for Actionable Insights & Faster Decisions

Built by 1Labs.ai for DelveInsight

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Market AI Dashboard - AI-powered pharma intelligence platform showing reports, queries, and analytics

Market AI Dashboard - Real-time pharma intelligence interface

Project Overview

Product

Market AI

Actionable pharma insights. Faster, citation-backed decisions.

Client

DelveInsight

Pharma & Life Sciences Intelligence

Project Type

AI Platform Enterprise RAG System Research Automation Engine Market Intelligence SaaS

Timeline

3 months

Phase 1 → Production

Status

Live

market.delveinsight.ai

Team

1Labs.ai

AI engineers, backend, infra, product

The Challenge

DelveInsight is a global leader in pharma market intelligence, with 7,000+ proprietary reports covering competitive landscapes, epidemiology studies, clinical trials, market access & pricing, and regulatory intelligence.

Core Problems

  • Manual research workflows across PDFs and Excel files
  • Hours to days to answer complex market questions
  • Fragmented intelligence across multiple reports
  • High analyst dependency, limiting scale
  • IP risk from downloadable proprietary reports

Impact of the Problem

  • • Slow client turnaround
  • • High operational costs
  • • Limited scalability
  • • Risk of data leakage

The Vision

"Selling reports" → "Delivering insights on demand."

Goals

  • Enable natural-language questions across all reports
  • Deliver citation-backed answers in seconds
  • Combine insights from multiple reports automatically
  • Eliminate raw file downloads
  • Maintain pharma-grade accuracy and trust
  • Build a scalable, AI-first intelligence platform

Success Defined As

  • One AI interface for all pharma intelligence
  • Answers grounded only in DelveInsight's proprietary data
  • Transparent citations and confidence
  • Enterprise-grade security & compliance

The Solution – Market AI

1Labs.ai designed and built Market AI, a secure, enterprise-grade Retrieval-Augmented Generation (RAG) platform purpose-built for pharma intelligence.

Core Capabilities

Multi-document ingestion (PDFs + Excel models)
Vectorized medical knowledge base
Domain-trained pharma prompts
Multi-report reasoning engine
Citation-backed answers
Confidence scoring
Zero-trust security architecture

System Architecture

AI Stack

  • LLMs: GPT-4 / Claude (RAG-restricted usage)
  • Embeddings: Medical-grade semantic embeddings
  • Vector Database: Pinecone / pgvector (RBAC-tagged)

Infrastructure

  • Backend: Node.js + Python AI services
  • Infra: AWS (VPC, S3, Lambda, EC2)
  • Security: Cloudflare, OAuth, RBAC, MFA, Guardrails
  • Frontend: Custom web UI (Market AI)
Market AI System Architecture diagram showing RAG pipeline, vector database, LLM integration, and secure infrastructure components

Market AI System Architecture - RAG pipeline with secure infrastructure

Key Features Delivered

Ask Anything (Natural Language)

Users ask plain-English questions like: "What are the key efficacy endpoints in recent CAR-T trials for multiple myeloma?"

Market AI instantly searches thousands of reports and returns:

  • • Structured answers
  • • Key metrics
  • • Source citations
  • • Confidence score
Market AI chat interface showing natural language question and AI response with citations

Example: Natural language query interface with citation-backed responses

Multi-Report Intelligence

  • • Answers synthesized across multiple reports
  • • No manual cross-referencing
  • • Eliminates fragmented analysis
Market AI multi-report intelligence dashboard showing cross-referenced insights from multiple pharma reports

Multi-report analysis dashboard with synthesized insights

Medical & Pharma Context Awareness

  • • Understands clinical terminology
  • • Handles epidemiology, trial phases, endpoints, CAGR, pricing
  • • Domain-trained prompts reduce hallucinations
Market AI medical context awareness showing pharma-specific query with clinical terminology understanding

Pharma-specific query handling with clinical terminology recognition

Citation-First Outputs

  • • Every answer references its source report
  • • Builds trust with analysts, consultants, and clients
  • • Enables auditability
Market AI citation-first outputs showing answer with highlighted source citations and report references

Answer with source citations and report references for transparency

Secure "Dark Vault" Model

  • • Original PDFs & Excel files never leave the private network
  • • Users interact only with AI-generated insights
  • • Eliminates IP theft risk
Market AI Dark Vault security architecture diagram showing secure data isolation and zero-trust model

Dark Vault security architecture - Original files never leave private network

Unique Innovation

What makes Market AI different from generic AI tools:

  • Pharma-grade RAG accuracy
  • Multi-report reasoning engine
  • Domain-trained prompting (not generic chatbots)
  • Dark Vault security architecture
  • Enterprise RBAC at vector level
  • Built for decision-making, not just Q&A

This is not ChatGPT over PDFs — it is a purpose-built pharma intelligence system.

Implementation Phases

1

Phase 1 – Foundation

  • • Secure ingestion of 7,000+ PDFs & Excel models
  • • Embedding pipeline & vector storage
  • • Initial RAG Q&A
2

Phase 2 – Intelligence Layer

  • • Multi-report synthesis
  • • Citation & confidence scoring
  • • Domain-specific pharma prompts
3

Phase 3 – Enterprise Hardening

  • • Dark Vault security model
  • • RBAC & tier-based access
  • • Prompt-injection guardrails
  • • Production deployment

Results & Impact

Speed

Before: Hours (sometimes days) per insight

After: Seconds to minutes

➡ ~70–80% faster research turnaround

Accuracy & Trust

  • • Answers grounded only in DelveInsight data
  • • Reduced analyst review effort
  • • Consistent, repeatable outputs

Cost Efficiency

  • • 60–70% reduction in analyst hours for routine research
  • • Scales insights without scaling headcount

Business Impact

  • • Faster client delivery
  • • Higher platform stickiness
  • • Strong IP protection
  • • Clear differentiation as an AI-first intelligence provider

Impact Metrics Dashboard

70-80%

Faster Research Turnaround

60-70%

Reduction in Analyst Hours

7,000+

Reports Processed

Market AI impact metrics visualization showing before and after comparison of research speed and efficiency

Before vs After: Research workflow efficiency improvement

Why This Case Study Matters for 1Labs.ai

This project positions 1Labs.ai as:

Experts in AI + Healthcare

Deep domain expertise in pharma and life sciences intelligence

Leaders in Enterprise RAG Systems

Production-grade RAG architecture at enterprise scale

Builders of Secure Platforms

Zero-trust security architecture and IP protection

AI Product Engineering Partner

Not just an agency—a true technical co-founder

Want to turn your proprietary data into an AI-powered intelligence platform?

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