At a Glance

75% faster competitive intelligence | $3M saved in analyst time | 95% conference ROI improvement

Life sciences companies transformed clinical trial and conference intelligence from manual, weeks-long processes to AI-powered insights delivered in hours.

The Challenge

Life sciences companies faced overwhelming challenges managing clinical trial and conference intelligence. With over 200 medical conferences annually, teams spent weeks compiling data manually. The sheer volume created significant risk of missed insights, with critical competitive intelligence routinely lost. Organizations had no systematic way to measure conference ROI.

The clinical trial landscape with over 400,000 trials in ClinicalTrials.gov presented additional complexity. Conference insights remained disconnected from trial data, making comprehensive analysis difficult. Team coordination suffered as notes scattered across individuals, creating silos and blind spots.

The Solution: MIRA Intelligence Platform

Devkraft developed MIRA, a comprehensive AI-powered platform that revolutionizes how life sciences companies gather and analyze clinical trial and conference data. The platform leverages GPT-4o and GPT-4o-mini for sophisticated trial processing, ensuring optimal performance and cost-efficiency.

The system employs web scraping AI to automate conference data extraction, eliminating manual work. Natural language processing automatically categorizes and tags presentations by therapeutic area and competitive relevance. Semantic search enables instant trial discovery, while predictive analytics forecast trial outcomes.

A conversational chat interface allows natural language queries of complex clinical trial data, making sophisticated analysis accessible. The platform includes integrated cost management tracking all LLM API calls on a per-user basis, providing complete visibility into platform utilization.

The technical architecture combines React and TypeScript frontend with Redux Toolkit. The backend REST API handles AI processing, while Server-Sent Events enable real-time streaming. A sophisticated upload pipeline stores all media and documents, automatically generating summaries and transforming raw content into actionable intelligence.

Platform Capabilities

The Conference Agent automates intelligence workflow, scraping and classifying conference data. Clinical Trial Search provides NCT ID lookup, surfacing information from ClinicalTrials.gov in seconds. Batch processing enables simultaneous analysis of thousands of trials.

The AI Chat Assistant allows natural language questions, receiving detailed responses with citations. Team building features assign conference coverage based on expertise. Booth intelligence tracking monitors competitor activities. Presentation scheduling optimizes team attendance.

Implementation Journey

Implementation unfolded across four phases over 16 weeks.

Phase 1: Data integration, connecting to ClinicalTrials.gov API accessing 400,000+ trials and building conference scraping.

Phase 2: AI model development, implementing GPT-4o and GPT-4o-mini and building semantic search.

Phase 3: User experience, designing conference planning interface and building AI chat with streaming responses.

Phase 4: Deployment, training over 100 medical affairs and clinical team members and integrating with business intelligence tools.

Transformative Business Impact

Conference data compilation plummeted from 40 hours to 2 hours (95% improvement). Trial analysis dropped from 15 minutes to 30 seconds (97% reduction). Competitive intelligence gaps decreased from 35% to 5% (86% reduction). Conference ROI improved from 45% to 85% (89% improvement).

Team coordination efficiency increased 60%, while analyst productivity surged 400%, effectively multiplying capacity fivefold. Annual value exceeds $3 million.

Organizations gain real-time competitive advantage through instant intelligence. Data-driven conference decisions optimize resource allocation. Conference insights are preserved and searchable, building institutional knowledge. Cross-functional teams achieve better alignment through shared intelligence.

Key Innovation: Multi-Strategy Intelligence

The platform combines semantic search with intelligent query translation, achieving 90% relevance compared to 70% for single-strategy approaches. Batch processing enables simultaneous analysis of thousands of trials, providing comprehensive assessments in minutes.

Real-time streaming responses allow users to act on partial results while analysis continues.

Cost management features track LLM usage per user and API, providing transparency into platform costs and enabling informed resource allocation decisions.

Real-World Applications

Competitive intelligence teams track competitor trial progress. Business development teams identify partnership opportunities. Medical affairs teams leverage KOL mapping to find key opinion leaders. Clinical development teams perform trial benchmarking. Evidence gap identification reveals unmet medical needs.