Seattle's economy runs from cloud platforms and e-commerce to aircraft manufacturing, the port and global health. Many teams here already build on AI services, and Washington's health data law reaches well beyond hospitals, so data handling is part of every AI decision.
Scoped accessEach agent reaches only the systems it needs.
Every step loggedCompliance can see what it did and why.
People sign offAnything with regulatory weight waits for approval.
Our work
Projects we've delivered across industries
Real projects for real clients, one case study at a time.
Custom standalone agents built for a specific job, such as customer support agents, sales or lead qualification agents, research agents, and voice agents.
Multi-agent systems that run end-to-end business processes like invoice processing, onboarding, report generation, and approval flows. This includes the orchestration, tools, and human-in-the-loop steps.
Adding agentic capabilities to the apps, ERPs, CRMs, and websites you already use. It also covers RAG over your own data, so answers come from your documents, and connections to your APIs and databases.
Built for Washington rules
Regulations we design around
Anyone handling consumer health data
My Health My Data
Consent before collecting or sharing health data, even outside HIPAA.
Healthcare providers, plans and their vendors
HIPAA
Safeguards and a business associate agreement for anything touching patient data.
Defence contractors
CMMC
Controlled unclassified information kept inside assessed environments, AI tools included.
Working together · Pacific Time
Working with us from Seattle
Your early morning is our late evening, so we meet live as your day starts and build while you sleep.
7–9 AM PTLive callReview progress and make decisions together
Your working dayYour feedbackYour team tests and comments in writing
Overnight PTWe buildProgress is ready for your next morning
Want to see how a week with us would look?
Tell us your hours and your project, and we'll plan the live time around your day.
Yes. We build agents on the cloud and model services you already use, inside your accounts and security controls.
How do you keep agents from over-reaching?
Each agent has a defined set of tools and permissions, spending and action limits, and a hand-off to people for anything outside its rules.
What is agentic AI?
Agentic AI refers to AI systems that can plan and carry out multi-step tasks using tools, such as searching documents, updating records or calling APIs, rather than only answering a single question.
How do you keep AI agents safe in production?
Agents get only the permissions they need, every action is logged, and high-impact steps go to a person for approval. We also test agents against real scenarios and monitor them after launch.
Can agents work with our existing ERP and CRM?
Yes. We integrate agents with the systems you already run through their APIs, databases or connectors, so there is no need to replace your core platforms.
Do we need to replace our current software?
No. Agents work inside the apps, ERPs, CRMs and websites you already use.
Can your agents handle phone calls and WhatsApp?
Yes. We build voice agents on LLMs that answer and make phone calls, and chat agents for WhatsApp, your website and your apps.
What happens when the agent is not sure?
It hands the task to a person on your team, with everything it has done so far, so nobody has to start again.
How long does it take to build an agent?
A single agent for one job, like answering support questions or qualifying leads, usually takes 2 to 4 weeks. A workflow that runs across several systems, like invoice processing from email to ERP, usually takes 6 to 10 weeks. The time depends mostly on how many systems the agent connects to, how clean your data is, and how many approval steps it needs. We often start with a 2-week pilot on one process, so you can see it working on your real cases before committing to more.
