We don't just advise.
We build and ship.

Every venture here was built by our team, from business model validation to production deployment. This is where our credibility comes from: we've shipped the same kinds of systems we build for clients.

Companies we're building right now.

SoloStream

Active

Credit unions and community banks struggle to serve self-employed customers because their income doesn't fit neat payroll boxes. SoloStream gives them income-aware lending, automated tax set-aside, and financial tools built for how freelancers actually work.

One senior engineer, Claude as a co-pilot, three months. What would've been a $500k+ year-long build shipped at a fraction of the cost and timeline. That's the pace we bring to every engagement.

Fintech Embedded Finance Next.js Supabase

Key metrics

  • Build speed: 3 months, 1 engineer + AI
  • Cost reduction: ~80% vs. traditional dev team
  • Approach: Business model validation before build
  • AI role: Co-pilot for development, market research, financial modeling

PolicyFlow

Active

Insurance operations run on spreadsheets, manual data entry, and workflows that haven't changed in decades. PolicyFlow replaced that with structured automation for policy, premium, and payment workflows across carriers, MGAs, and administrators.

Now we're pushing AI deeper into the stack. LLM-powered data ingestion, automated reporting, and natural-language project creation. Next up: an MCP layer that lets users go from conversation directly into project architecture.

Insurtech Workflow Automation Agentic AI

AI integration

  • Data intake: AI-powered ingestion replacing manual CSV processing
  • Output: Custom reporting via natural language queries
  • Process reduction: 5 manual steps to 1 automated workflow
  • Next: MCP layer for natural-language project management

AgriTerra

Active

Landowners and their partners make million-dollar decisions about land use with limited data. AgriTerra gives them AI-powered benchmarking and scenario modeling, turning complex agricultural and environmental data into decisions they can actually back with evidence.

Agtech Data & Analytics Scenario Modeling

Approach

  • Validation: AI-assisted market research and competitive analysis
  • Data layer: Multi-source environmental and economic data integration
  • Modeling: AI-powered scenario planning for land use decisions
Stealth, Corporate JV
Active

Marketplace and operations platform helping service providers acquire customers, manage onboarding, and optimize conversion through digital channels.

Marketplace Go-to-Market
Stealth, Internal Concept
Active

Application for discovery of segmented lifestyle products and services. Currently in concept validation phase.

B2C Discovery

Companies we built before AI changed the game.

Same builder mentality, same zero-to-one discipline. These taught us how to ship: fast, lean, and accountable.

Ohio Transparent Telecom
Past

Regional telecom initiative focused on expanding transparent, reliable wireless connectivity in underserved and rural Ohio communities. Full infrastructure buildout from licensing to deployment.

Wireless Infrastructure Rural
Joist
Past

Direct-lending platform in the real estate sector. Built the full stack from loan origination through servicing, including regulatory compliance and risk modeling.

Proptech Lending Fintech

Building companies taught us what consulting firms never learn.

If it doesn't ship, it doesn't count. If it doesn't prove ROI, it wasn't worth building. If the team can't run it without us, we didn't finish the job.

We've made the hard calls

Build vs. buy. Pivot vs. persist. How to get to first revenue before the runway runs out. That judgment doesn't come from consulting. It comes from having our own money on the line.

Small team, startup speed

SoloStream: 1 engineer, 3 months. PolicyFlow: 5 manual processes replaced with automation. AI-augmented development means a small team builds what used to require a department.

Production is the only outcome

We don't build demos. Everything we ship is designed to run in production, with monitoring, security, and a plan for what happens next.

Let's build your next proof point.

Whether it's a new venture or an AI implementation inside your existing business, start with a conversation.