Landing page
Landing page
Admin dashboard with all pending applications
Applicant page
Applicant page
Agentic AI copilot for reviewing the application based on 5-phase government process

Inspiration

940,000 Americans wait 7 months for Social Security Disability decisions while unable to work and pay rent. The SSA operates at a 25-year staffing low, with officers manually reviewing 34+ document fields per case. We built Claimd to turn months of waiting into days.

Help the 900k. Use Claimd.

What it does

Claimd is an AI-powered SSDI application platform with two interfaces:

Applicant side: Streamlined application process for uploading medical records, financial documents, and personal information
Admin side: AI-generated case summaries with approval recommendations (approve/reject/further review), and supporting evidence highlights

Officers get 3 minute AI summaries instead of 30-minute manual reviews—a 10x efficiency improvement.

How we built it

Frontend: Dual React interfaces for applicants and SSA administrators
AI Engine: Claude base model prompting and agentic output with the government's 5-phase process for intelligent document analysis and structured output validation
Multi-agent system: Judge LLMs using Groq with Llama for validation and guardrails
Document Processing: PDF field extraction, MongoDB storage for retrieval
Backend: API integration exposing AI decisions, confidence scores, summaries, and benefit calculations, along with the AI's entire structured reasoning pipeline

Challenges we ran into

Extracting and validating structured data from complex medical and financial PDFs
Balancing AI automation with required human oversight for government decisions
Building explainable AI that highlights which document sections support each recommendation
Designing for users in crisis while maintaining professional standards for SSA officers
Calculating accurate SSDI payment amounts based on work history and medical severity

Accomplishments that we're proud of

Achieved 10x efficiency improvement (30 minutes to 3 minutes per case)
Built a complete end-to-end system with both applicant and admin workflows
Implemented multi-agent validation with confidence scoring
Created an intuitive interface that maintains human decision-making authority
Developed a solution that could help reduce the 940,000-person backlog

What we learned

Building AI for government services requires balancing speed with accuracy and automation with human judgment. We learned the importance of explainable AI, structured validation against source documents, and designing empathetically for vulnerable users while creating efficient tools for overwhelmed administrators.

What's next for Claimd

Call SSA agencies around the country (Monday Morning) to get validation for the product and iterate for product market fit
Production-ready security and SOC compliance frameworks
Multi-level appeals system (Level 1 legal forms)
Enhanced cybersecurity and authentication
Integration with existing SSA systems
Scaling to help process the massive backlog and prevent future delays