What we build, shown at work.
AI agents, assistants, internal tools and the automation that ties them together, designed, built and run by one team. Each service below is shown as a piece of one of the four desks, so you can see what it looks like on a Tuesday.
AI products
Products where the AI does the work: research platforms, analysts, matchers and graders, with the checks built in.
AI assistants
Assistants with one job and clear limits: by voice, in chat, or inside the tools your team already uses. They ask before they guess, and show you before anything changes.
Internal tools
The system of record your team opens every morning: orders, ledgers, pipelines and reports, on the web and in the pocket.
Workflow automation
Pipelines that source, sort, draft and follow up. The AI drafts; a person approves anything that goes out in their name.
Data and decision systems
Screening, grading and reporting that run on a schedule and leave an audit trail you can check.
Web, mobile and wearables
The front door and the pocket: sites, phone and watch apps, voice interfaces and analytics.
Three ways to start.
Start at any step. We usually suggest a teardown first, because the cheapest code is the code you didn’t need.
Teardown
Half a day beside the people doing the work. We map what’s manual, what repeats and what breaks.
- The job, written down step by step
- Where the line should sit between AI and people
- What we’d build first
First win
Before any full build, one working automation on your own accounts that changes someone’s week.
- One job, automated end to end
- The checkpoint designed in
- A clear read on what to build next
Build & run
The real system, designed, built and run by one team, with access rules and audit checks from the start.
- Product, assistant or internal tool
- Checkpoints where they matter
- Scheduled jobs, tests and checks that keep it honest
The standards we hold to.
The tests: 575 behind MarketSignals, 459 behind PocketAssistant and 15 prompt checks across the assistants.
Fair questions.
Something else on your mind? Ask us directly.
Whichever fits the job. We pick the model for each task, hosted or open, and keep each client’s data separate.
Tell us what’s slowing your team down.
We’ll come back with what we’d build first, and exactly where the line should sit.