CloudRaven Labs

Evidence-first AI systems for channel growth and trustworthy research.

CloudRaven Labs helps teams build trust-safe workflows for channel intelligence, partner activation, agentic research, and public-data systems where provenance, evaluation, and practical execution all matter.

The best fit is usually a messy but important workflow: upstream partner discovery, evidence-backed research, bounded agent orchestration, or a prototype that needs a credible path to production.

Start a conversation See how CloudRaven helps Join the tech team

Research SystemsEvidence-first workflows

CloudRaven Offers

Ways to work with CloudRaven

CloudRaven is at its best when the work needs more than a generic AI layer. These are the strongest public-entry points right now: upstream channel formation, trustworthy research workflows, and focused working sessions that turn a promising idea into a real system.

Partner growth

Channel Intelligence

Build the motion before the CRM gets noisy

Discover, enrich, qualify, and activate likely-fit partners in fragmented markets without fake automation or shallow signals.

Talk about channel growth

Evidence-first workflows

Trustworthy AI Systems

Ship agentic research you can actually trust

Design bounded agent workflows, provenance-aware interfaces, and public-data systems built for reproducibility, evaluation, and human review.

Discuss trustworthy AI

Working sessions

Workshops + Prototype Sprints

Turn a fuzzy AI idea into a scoped system

Use a workshop or prototype sprint to pressure-test architecture, workflow shape, and product direction before overbuilding.

Schedule a working session

Tell CloudRaven what you are working on Read the thinking behind the work

Work With CloudRaven

Capture the opportunity while the problem is still clear.

CloudRaven is strongest where research, qualification, orchestration, and trust all matter at once. If you have a workflow that feels important but still messy, this is the right place to start.

Channel intelligence and activation

Good for fragmented partner or services motions where the hard part starts before the CRM is useful.

Trustworthy agentic research

Good for teams that need provenance, evaluation, bounded workflows, and evidence-first output design.

Workshops and scoped prototype sprints

Good when the idea is promising but the system, workflow, or commercial shape still needs pressure testing.

Public inquiry

Tell CloudRaven what you are trying to improve

No account creation required. A short note is enough to start.

CloudRaven Latest

Thinking, field notes, and product direction from CloudRaven

Read how CloudRaven thinks about channel formation, trustworthy agent systems, public-data workflows, and the kinds of product patterns worth shipping.

April 14, 2026

TOP Sprint 2026 Sign-Ups Are Open: Join the CloudRaven Labs Tech Team

If you care about reliable AI over federal open data, this is the moment to join. CloudRaven Labs is actively recruiting builders, researchers, and reviewers for the 2026 TOP Sprint.

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April 4, 2026

From Prompt to Prototype: What the AI Sales Badge Reveals About the Future of Hardware Design

When a tool can take a simple concept like an AI Sales Badge and generate parts, wiring, mechanical layout, and build steps, it signals something bigger than novelty. It shows where real-world system design is heading.

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April 2, 2026

Channel Intelligence and Partner Activation: Where CloudRaven Creates GTM Value

Many channel growth teams do not have a CRM problem first. They have a channel formation, qualification, and activation problem. That is why I believe the bigger opportunity is in channel intelligence and partner activation programming.

Read article

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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. The current plan is to begin team work in mid-April 2026, starting the week of April 13, 2026. Anyone can start by creating an account, then submit a join request inside the private workspace to begin the collaboration journey.

Public overview

See what we are building, then apply to join the sprint

This overview introduces the TOP Sprint, the mission behind the work, and where new collaborators can make an immediate impact. If the program feels like the right fit, create your CloudRaven account and submit your join request to be considered for the tech team.

Join flow

1. Create your CloudRaven account.

2. Sign in to the private workspace.

3. Submit the TOP Sprint join request so the team can route you into the right collaboration area.

Create account to join Sign in to continue Read the full sprint story

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

Resource	Note
Model Context Protocol (MCP)	Open standard to connect tools and data to LLMs reliably.
Census Data APIs	Official endpoints, metadata, and API user guide.
US Census API - MCP Server	Bring official Census Bureau statistics to AI assistants via MCP.
The Opportunity Project	Program details and sprint challenges from COIL.
CloudRaven Labs: trendsights.io	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.

Create account to join Sign in to continue Read the full sprint story View project docs

New collaborators begin with account creation, then move into the join request inside the workspace so CloudRaven can coordinate lanes, onboarding, and first tasks.

Active Team

The people actively shaping the CloudRaven sprint work right now

A small, active team spanning program leadership, partner systems, market development, research, and geospatial open-data work that turns hard-to-structure workflows into something teams can actually run.

Connect directly on LinkedIn and get a quick sense of where each person helps the sprint move.

Rob Schaper

CloudRaven Labs • Program Lead, CloudRaven Labs Tech Team

Active

Rob leads the CloudRaven sprint lane across trustworthy agent workflows, evidence-first research systems, and the public story around the work. He helps hold together the strategy, operating rhythm, and translation from early problem framing into something teams can build, review, and trust.

program leadershiptrustworthy AIsolutions strategy

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Brian Schaper

CloudRaven Labs • Principal Solutions Architect, Partner Systems & Activation

Active

Brian supports CloudRaven's partner systems and activation work across outreach, onboarding, activation, reporting, and direct partner-facing execution. His role helps turn field requirements into practical architecture and cleaner operating support.

partner systemsactivation supportworkflow architecture

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Sean Marshall

CloudRaven Labs • Principal Growth Strategist, Partner Engagement & Market Development

Active

Sean leads partner engagement and market development strategy across targeting, outreach design, messaging, and qualification. He helps translate market signals into sharper engagement, stronger trust-based conversations, and better top-of-funnel execution.

market developmentoutreach strategypartner engagement

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Chandrika Kaul

CloudRaven Labs • Research Consultant, Geospatial & Open Data

Active

Chandrika strengthens the team's research and geospatial perspective across open-data analysis, map-aware interpretation, and evidence development. Her background spans Microsoft Bing Maps, Open Data Watch, search, reference data, and long-form research support.

geospatial researchopen datadata analysis

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