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.
Answers with sourcesEvery answer links to the document behind it.
Tested before launchAccuracy measured on a test set you agree.
Access follows rolesPeople only see answers from what they may read.
Our work
Projects we've delivered across industries
Real projects for real clients, one case study at a time.
Adding GenAI features into existing web apps, mobile apps, ERPs, and CRMs, such as summarization, content drafting, smart search, and image generation.
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.
Can you build on the model provider we already use?
Yes. We work with your chosen provider and keep the model behind a layer with its own tests, so you can change providers later.
How do you measure quality?
We agree a test set of real questions with your team, measure accuracy and safety against it, and rerun it on every change.
What does a generative AI development company do?
A generative AI development company designs, builds and runs AI that writes, answers and summarizes for your business. We build chatbots, knowledge assistants on your own data and GenAI features for your apps, and test them for accuracy before launch.
What does generative AI consulting include?
We help you find the use cases worth building, check whether your data is ready, choose the right models, and estimate cost and timeline. Then we can build the first solution with you, often starting with a 2-week pilot.
Can I hire generative AI developers for my own project?
Yes. You can hire our generative AI developers to build a new solution, or to work alongside your team on one you have already started.
What is RAG and why does it matter?
Retrieval-augmented generation (RAG) finds the most relevant passages in your own content and gives them to the language model with the question, so answers are grounded in your data and can show their sources.
Do we need to fine-tune a model?
Often not. Good retrieval and prompt design solve most business use cases. We recommend fine-tuning only when tests show it clearly improves quality, cost or speed.
How do you keep our data private?
We design around your security rules: private deployments where needed, access control on every answer, no training on your data without your consent, and full logging.
How long does a generative AI project take?
A chatbot or knowledge assistant for one use case usually takes 2 to 4 weeks. Larger solutions across several systems usually take 6 to 10 weeks. We often start with a 2-week pilot.
