Work

Proof, not promises.
Systems that are running today.

A sample of engagements across retail, data, real estate, and services. Every project below is a production system in active use.

Case studies

Global Retail

ON Running

Agent-assisted operations across Workspace

Workspace-wide intelligent automations for a global retail team — cutting manual ops time across reporting, supplier communications, and internal knowledge discovery.

70%

reduction in manual reporting time

24/7

agent availability across 3 regions

Google WorkspaceApps ScriptClaudeSkillsMCP

Data Services

DataHen

AI-native data reconciliation

Replaced brittle rule-based matching with semantic understanding — the engine that later became the foundation of Match Data Studio.

40×

faster reconciliation runs

99.2%

match accuracy on benchmark sets

GCPPythonGeminiVector Search

Real Estate

Allied Land Development

Deal-flow intelligence layer

Custom-built pipeline that ingests listings, zoning data, and market comps — then feeds a Claude-powered analyst that flags opportunities daily.

5 hrs

analyst time saved per deal

more opportunities screened weekly

ClaudeSkillsCloud FunctionsPostgreSQLCustom MCP

Energy / Ops

Soltrak

Field-ops assistant on Microsoft 365

Conversational assistant for field technicians — accessible in Teams, grounded in the client knowledge base, escalating to humans when appropriate.

48%

faster ticket resolution

200+

technicians onboarded

Microsoft 365Azure OpenAIGeminiTeams

Creative Agency

Unlimited Designs

Creative ops automation

From brief intake to asset delivery — an agent-orchestrated workflow that handles the connective tissue so designers don't have to.

3.5×

more projects shipped monthly

zero meetings lost to status updates

Claude CodeSkillsGoogle WorkspaceFigma API

Legal Tech

Caseway.ai

Multi-agent legal research

A team of specialized Claude agents — researcher, drafter, reviewer — coordinated via A2A protocol to produce first-draft legal work in minutes.

10×

research throughput per attorney

citations verified automatically

ClaudeA2A ProtocolVector DBAgent SDK
How we engage

Short engagements. Compounding returns.

01

Discovery (1 week)

We map your current workflows, identify the highest-leverage AI interventions, and scope a pilot.

02

Pilot (4–6 weeks)

We ship a real, production-grade system solving one meaningful problem end-to-end.

03

Expand (ongoing)

Once trust is established, we layer in more agents, more integrations, more intelligence across your operation.

See what's possible for your team.

A 30-minute conversation is usually enough to map your first high-leverage AI pilot.