Join the CloudRaven Tech Team
From Prototype to Production.
Agentic AI Data Enrichment and Research.

CloudRaven Labs Helps Teams Quickly Discover Their "Path-to-Production" with AI-powered Research and Enrichment Systems, Workflows, Agents, and Coding Toolkits.

cloudraven.io | rapid prototyping
CloudRaven Research Solutions

Generative research solutions for real workflows

Explore CloudRaven Labs’ solutions that demonstrate purpose-built AI tools for human-in-the-loop enrichment. Examples include experiences for job seekers, community leaders, and geospatial analysts.

Job seekers

ResumeRavenPro

Generative job assistance

AI-enhanced resume optimization and tailored career insights to help candidates move faster and present stronger applications.

Community leaders

Project WellTrend

Neighborhood wellbeing insights

Assess community-level trends in poverty, internet access, and other indicators with human-in-the-loop research flows.

Geo analysts

TrendSights.io

Agentic trends research

Spot trends with agentic tools, research observability, and ambient workflows designed for grounded insight generation.

CloudRaven Latest

Latest news and notes from CloudRaven Labs program teams

Follow on X and LinkedIn for the latest opportunities, updates, and team news.

January 20, 2026

Deep Agents for Trustworthy Federal Data: CloudRaven Labs in the 2026 TOP Sprint

CloudRaven Labs is joining The Opportunity Project 2025 sprint to explore deep, ambient agent patterns that improve LLM accuracy with federal open data, stronger provenance, and better user outcomes.

January 14, 2025

Accelerating Community Wellbeing Research with WellTrend

CloudRaven’s WellTrend Index for Geospatial Intelligence rethinks wellbeing research through purpose-built models, customizable indicators, and robust geospatial insights, enabling faster, more accurate community-level decision-making.

January 7, 2025

Revolutionizing Rural Address Geolocation with GeoResonanceGPT

CloudRaven's GeoResonanceGPT initiative aims to enhance the U.S. Census Bureau's Master Address File coverage in rural and remote areas, tackling the challenges of non-city-style addresses.

The Opportunity Project • CloudRaven Workspace

Improve LLM accuracy and data usability with authoritative tools, agents, and MCP integration, built around reproducible prompts.

A sprint-style collaboration to prototype real, human-in-the-loop workflows that pull from authoritative Census sources and keep provenance front and center.

CloudRaven Labs

Agentic research services with citations and provenance

Developing agentic research services on federal open data with a focus on authoritative citations, reproducible results, and data provenance.

U.S. Census COIL

Partnership to improve how LLMs use federal data

Working with Census Open Innovation Labs to improve how LLMs serve accurate, reliable information through agentic workflows using the Model Context Protocol (or an API layer).

Current Focus

trendsights.io as a reference implementation

Demonstrating how US Census API + MCP server integration can deliver trustworthy data to agentic researchers with citations, efficient context usage, and high accuracy.

Sprint objective

Launch trendsights.io with agentic, human-in-the-loop research use cases that demonstrate:

  • Authoritative citations
  • Efficient context-window usage
  • Reproducible results and provenance

Where collaborators can help right now

  • Refine MCP + agentic integration architecture for Census datasets
  • Research and prioritize use cases for trend signals and data products
  • Create wireframes for data visualization components
  • Develop prototype prompts that demonstrate citation quality
  • Test context window optimization strategies
  • Document reproducibility and provenance processes

Target topics and questions

  • Who are the target audiences for trend signals, research derivatives, and data products?
  • What are the target problems and pain points for the core audiences and use cases?
  • Which user journeys require authoritative citations from Census datasets?
  • What context-window strategies minimize tokens while preserving fidelity?
  • Which datasets outside Census APIs are essential complements?
  • How can we ensure trendsights.io demonstrates clear provenance for all data?
  • What visualization approaches best communicate data reliability to users?

Resources

Quick links for MCP, Census APIs, and the sprint program

ResourceNote
Open standard to connect tools and data to LLMs reliably.
Official endpoints, metadata, and API user guide.
Bring official Census Bureau statistics to AI assistants via MCP.
Program details and sprint challenges from COIL.
Project site and development documentation.

Join as a collaborator

Help with architecture, UX, prompt design, evaluation, or docs. We’ll plug you into a task area quickly.

Team members will be finalized and posted by January 31, 2026.

Collaboration • Join the workspace

Join as a Collaborator

The Opportunity Project TOP Sprint begins in late January 2026.

CloudRaven is building a platform for grounded civic and economic insights on trendsights.io. Collaborators help co-design, prototype, test, and document the system over a 4-month sprint.

Jan–Apr sprint
Remote participation
Cohort calls every 2–3 weeks

Shipping

What we’re shipping

  • Ambient monitoring
    Across X, Google Trends, and web signals
  • Geospatial enrichment
    Using Census ACS 5-year features
  • Forecasts + decision packets
    With evidence and confidence
  • Eval harness
    Provenance, accuracy, uncertainty, token budget

Collaboration

How you can help

MCP + tool design
Evaluation + grounding
Census ACS + geo modeling
Agent workflows (Step Functions)
UX + story briefs + maps
Infra, deploy, cost controls

You can contribute code, experiments, evals, UX, docs, or just be a sharp reviewer.

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