GovTech Startup Cuts Evidence Review from Hundreds of Analyst Hours to Minutes with Claude and Amazon Nova on AWS Bedrock
At a glance
Law enforcement agencies hold thousands of hours of unreviewed audio and video evidence. Investigators spend hundreds of analyst hours on manual review, miss critical connections, and cannot query across cases. Without a production-ready platform, state corrections department contracts were out of reach.
New Math Data rebuilt a criminal evidence intelligence platform into a production AI investigative system on AWS, deploying Claude and Amazon Nova Pro on Bedrock, Amazon Rekognition for facial and emotion detection, multilingual transcription across 32+ languages, and a full multi-tenant case management layer. The result: a GovTech startup with 135 trial organizations now has the platform to convert those trials into enterprise contracts.
South Carolina DOC beta is complete. A second state DOC is onboarding. Six state corrections departments are in active pipeline. The platform is the infrastructure that makes those contracts executable.
Industry
Use Case
Multimodal Content Extraction / NLP / Computer Vision / Conversational AI
Solution implemented
- Amazon Bedrock with Amazon Nova Pro for multimodal video analysis, selected for accuracy priority in criminal evidentiary contexts
- Claude on AWS Bedrock for conversational investigative assistant handling natural language queries across all case evidence
- Amazon OpenSearch Service for RAG knowledge base with embedding pipelines across audio, video, image, and document evidence
- Amazon Rekognition for deterministic facial detection, emotion analysis, and object recognition within video evidence
- Amazon Transcribe and Amazon Translate for multilingual audio transcription and turn-by-turn translation across 32+ languages
- Amazon ECS on Fargate with Agent Core runtime, Amazon Cognito for multi-tenant user management and EULA enforcement, and AWS Lambda for event-driven processing
The value equation
- Investigators query thousands of hours of multimedia evidence conversationally in minutes, not weeks
- Facial detection, emotion analysis, and frame extraction surface visual evidence keyword search misses
- Multilingual transcription and translation across 32+ languages removes language barriers from evidence review
- MCP-extensible architecture supports future integration with major law enforcement data sources without rebuilding the platform
- Production-hardened multi-tenant case management with EULA enforcement enables enterprise DOC deployments
Company Snapshot
A GovTech startup develops an AI-powered evidence intelligence platform that enables law enforcement investigators to search, analyze, and query thousands of hours of audio and video evidence in minutes, supporting criminal investigations from intake through prosecution.
Location
United States
Customer Situation
Criminal investigators handle thousands of hours of jail phone calls, surveillance video, and recorded interviews per case. Manual review requires hundreds of analyst hours. AI tools sold to agencies demand rigid prompting workflows. Results that cannot be defended in court are not accuracy problems. They are evidentiary failures.
The client had built solid transcription and keyword-search capability in their platform, but it operated at the single-case level, lacked multi-tenant structure and production user management, and had chat and case management entangled in ways creating instability at volume. The gap between POC and deployable enterprise platform blocked state DOC contracts.
Every US law enforcement agency faces the same evidence backlog with inadequate tooling. Investigators need a system built around how they work.
NMD Solution
NMD reviewed the architecture and found the core AI capability sound, but production infrastructure, scalability design, and application structure needed a complete rebuild for enterprise deployment. The solution required multimodal ingest pipelines, separation of case management and chat into independent deployable services, an MCP extensibility framework, and deterministic visual analysis via Rekognition for evidence queries that language models should not handle alone. NMD deployed the full AWS stack: Bedrock, Nova Pro, Claude, OpenSearch, Transcribe, Translate, Rekognition, ECS Fargate, Agent Core, and Cognito, delivering a production-hardened platform.
What We Delivered
The platform is a production AI investigative system on AWS. Investigators query all case evidence via Claude on Bedrock, with answers returning timestamp references and playable video clips. Rekognition handles facial detection, emotion analysis, and object recognition deterministically. Multilingual recordings are transcribed and translated turn-by-turn across 32+ languages. Case management and chat run as independent services. An MCP server framework provides the extensibility pattern for future integrations with major law enforcement data sources. The client now has a platform that can convert 135 trial organizations into enterprise contracts.
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