GALSI Lite is the first AI co-pilot for life sciences startups and venture builders, transforming how biotech, pharma, and medtech companies approach fundraising, validation, and regulatory compliance.
With Pendoah as its technology partner, GALSI Lite delivered a production-ready, multi-tenant AI platform in just 8 weeks, achieving:
The global market for life sciences software is projected to exceed $25 billion by 2030, driven by increasing regulatory complexity and the need for efficient compliance management.
For early-stage biotech and medtech companies, annual compliance and fundraising costs typically range from $200,000 to $500,000. Meanwhile, 45% of startups struggle to secure Series A funding due to inadequate documentation and pitch materials.
This gap between regulatory demands, fundraising pressure, and operational capacity presented a clear opportunity: build an intelligent, multi-purpose platform that delivers automation without sacrificing compliance or quality. GALSI Lite entered the market to meet that need, with Pendoah providing the technical architecture and strategic execution.
Life sciences startups face compounding challenges: weeks to prepare investor materials, high consultant costs, compliance documentation errors, and security concerns around sensitive IP and clinical data.
Purpose-built for compliance, IP protection, and measurable ROI.
Built for SOC 2, HIPAA, and GDPR compliance from day one.
Technical depth for founders, investor-ready clarity for VCs.
From strategy to production in 8 weeks with continuous improvement.
Need fast, investor-ready materials without six-figure consultant spend.
Required scalable tools to support multiple portfolio companies efficiently.
Wanted to scale client throughput without sacrificing quality or billable hours.
Required compliance-ready documentation with secure, role-based access.
01
User research with founders and VCs to define automation priorities and compliance needs.
02
Azure-native stack with multi-tenant isolation, dual-RAG, Stripe billing, and Auth0 security.
03
Azure OpenAI with RAG, Perplexity for research, Grok-4 for IP analysis, 10+ specialized tools.
04
Responsive portal with English, Japanese, Arabic support, analytics, and white-label capabilities.
05
UAT, production deployment to galsi.net, and post-launch support with monitoring.
AI advisor, weighted comparator, and deck generator.
Concept assessment, executive summaries, and GTM planner.
Funding navigator, deep research, and life sciences chatbot.
SAFE note advisor and AI-powered IP/FTO analysis.
Global and private knowledge ingestion with vector indexing.
One-click export to DOCX, PDF, PowerPoint, and Excel.
$200K-$500K annual costs, weeks per deliverable
60% cost reduction, 75% faster turnaround
No life sciences expertise, compliance gaps
Domain-specific AI with expert-vetted templates
Time-intensive, error-prone, inconsistent quality
Automated workflows with quality assurance built-in
Expert-vetted templates with AI assistance drove immediate adoption. Multi-tenant architecture enabled rapid scaling for venture builders.
Balancing domain accuracy with AI flexibility required careful prompt engineering and refinement.
Dual-RAG architecture with Azure AI Search strengthened accuracy and enabled precise citations.
With Pendoah as its technology partner, GALSI Lite became the first comprehensive AI co-pilot for life sciences startups, delivering measurable time and cost reductions while enhancing quality, compliance readiness, and fundraising success.
Unlock Ideas. Drive Momentum.