CloudRaven Labs

Market discovery, research, and activation shaped into one operating surface.

CloudRaven helps teams discover and enrich market, run agent-assisted research, preserve evidence through program workflows, and activate qualified leads with more operator control than broad automation usually provides.

The product now has real project, program, and research surfaces worth showing directly on the site.

Start a conversation Explore the product Read case studies

CloudRaven WorkflowsProject, program, research derivatives

program workspace

Project view

Research derivatives

CloudRaven Offers

Ways to work with CloudRaven

CloudRaven is strongest when the work needs more than off-the-shelf automation. These offers are built for teams that need market discovery and enrichment, HubSpot-ready activation, agent-assisted research, or a targeted analytics product with real domain quality.

Most engagements start with one messy workflow, one decision chain that matters, and a need to turn scattered data, research, and operator judgment into something usable.

How engagements usually start

Discovery program first

Start by defining the market, enrichment logic, and routing model so the rest of the work has a cleaner operational foundation.

Activation path next

Connect qualified leads, approved messaging, and operator checkpoints so activation into HubSpot happens with context instead of guesswork.

Targeted product launch

Carry the strongest research or workflow pattern into a focused analytics product when the use case is specific enough to warrant its own surface.

Managed Market Discovery

Build a cleaner market map before outreach, handoffs, and reporting break down.

CloudRaven helps teams define the market, enrich accounts, qualify likely fits, and turn fragmented signals into a discovery program that operators can actually run.

Best fit

Best when the market is real but the account map is incomplete, enrichment is inconsistent, or the team needs stronger criteria before it scales outreach or onboarding.

Starts with

A market scan, target-shape review, enrichment pass, and a working definition of how discovery should roll into qualification, routing, and follow-through.

Typical outputs

market mapenriched account listqualification logic

Talk about market discovery

HubSpot Activation Systems

Move qualified leads into HubSpot with better evidence, timing, and operator control.

CloudRaven connects research and enrichment work to lead activation so approved records, drafts, and follow-up workflows can move into HubSpot without losing the context that made them worth contacting.

Best fit

Best when the hard part is not just finding leads, but getting the right ones into HubSpot with enough evidence, review structure, and workflow clarity to support follow-through.

Starts with

A review of the qualification path, field mapping, approval checkpoints, and the exact point where a record or draft should land inside HubSpot.

Typical outputs

activation workflowHubSpot handoff designreview checkpoints

Discuss HubSpot activation

Geospatial + Temporal Research

Answer place-based and time-based questions with an agent that can work from real evidence.

CloudRaven designs research workflows for geospatial and temporal use cases where sources, citations, and domain context matter more than generic model fluency.

Best fit

Best when the work depends on maps, regions, time series, public data, reference data, or synthesis that needs to stay inspectable instead of sounding plausible.

Starts with

A research question review, source plan, and workflow design for how the agent should gather, interpret, and hand findings back to a human reviewer.

Typical outputs

research workflowsource strategyagent + reviewer loop

Plan a research workflow

Targeted Analytics Products

Launch focused analytics products for use cases where generic models are not enough.

CloudRaven helps shape and launch analytics products for tightly defined users, questions, and datasets where quality, trust, and workflow fit matter more than broad but shallow coverage.

Best fit

Best when you have a specific analytics use case, a clear user promise, and a need to reach production with stronger domain quality than general-purpose systems typically provide.

Starts with

A product framing pass around the target user, decision path, data inputs, evidence standard, and the smallest launchable version worth validating.

Typical outputs

analytics conceptscoped launch plandecision-ready prototype

Scope an analytics launch

Tell CloudRaven what you need to launch See the product in detail Read the case studies

Case Studies

Recent product and program stories

CloudRaven now has enough real surface area to show how the work looks in context. These case studies connect the product UI, the workflow design, and the supporting artifacts already being created in the repo.

Explore case studies See the product in detail

Laplink case study cover image showing a migration planning conversation

CloudRaven

Market discovery + activation

Laplink PCmover partner growth

A research-led acquisition console for discovering IT service providers, enriching target accounts, preparing outreach, and supporting activation for Laplink's technician licensing offer.

Washington geospatial targetingqualification briefs and outreach reviewactivation support for partner onboarding

Read the case study

TOP Sprint case study image showing a collaborative civic AI planning session

CloudRaven

Authoritative data + decision-ready research

US Census TOP Sprint civic AI lane

A sprint program for grounding civic AI in authoritative Census data, local context, geospatial workflows, and reviewable reasoning that operators can inspect and improve.

authoritative Census and MCP workflowslocal context and reproducible promptspublic storytelling and collaborator onboarding

Read the case study

Work With CloudRaven

Start with the workflow that actually needs help.

CloudRaven works best where market discovery, enrichment, activation, research, and product quality all matter at once. If you have a real use case that generic tooling keeps flattening, this is the right place to start.

Managed discovery and enrichment

Good for fragmented markets where account discovery, enrichment, qualification, and routing need a clearer operating model.

HubSpot activation and workflow handoff

Good when the team needs qualified leads, approved drafts, and cleaner handoff into HubSpot without losing context.

Geospatial, temporal, and agent-assisted research

Good for place-based, time-based, or public-data work that needs evidence, citations, and a human-review loop.

Targeted analytics products

Good when a focused use case needs stronger quality, trust, and domain fit than broad general models usually provide.

Public inquiry

Tell CloudRaven what you are trying to launch or improve

No account creation required. A short note about the workflow, market, or product is enough to start.

CloudRaven Latest

Thinking, field notes, and product direction from CloudRaven

Read how CloudRaven thinks about market discovery, activation systems, agent-assisted research, geospatial public-data workflows, and focused analytics products.

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.

Read article

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.

Read article

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.

Active

Rob Schaper

Role

Program Lead

CloudRaven Labs • Tech Team

What They Own

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.

Focus

Program LeadershipTrustworthy AISolutions Strategy

View LinkedIn

Active

Brian Schaper

Role

Principal Solutions Architect

CloudRaven Labs • Partner Systems & Activation

What They Own

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.

Focus

Partner SystemsActivation SupportWorkflow Architecture

View LinkedIn

Active

Sean Marshall

Role

Principal Growth Strategist

CloudRaven Labs • Partner Engagement & Market Development

What They Own

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.

Focus

Market DevelopmentOutreach StrategyPartner Engagement

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Active

Chandrika Kaul

Role

Research Consultant

CloudRaven Labs • Geospatial & Open Data

What They Own

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.

Focus

Geospatial ResearchOpen DataData Analysis

View LinkedIn