// CONSULTING
Senior AI-infrastructure help, from engineers who've shipped the hard parts.
Start with a scoped discovery sprint. If you need someone to build it, too — we do that.
// THE ENGAGEMENT
Enter low, climb only as far as you need.
Discovery sprintPHASE
Fixed-scope, paid engagement to scope the system: problem, architecture, build path, and what would have to be true for it to work in production.YOU WALK AWAY WITHA real architecture and build plan you own. We'll audit your current system and give an honest read on feasibility, risk, and next steps.
Advisory & architecturePHASE
We take care of the system design and the hard-call decisions. You bring the hard problem, and we bring senior AI-infrastructure judgment.YOU WALK AWAY WITHDeeper system design plans, architectural mock-ups and hard analysis of data structures and storage systems. A clear path forward and a technical project in motion.
Build the MVPPHASE
If you don't have a team to build it, we do. Hands-on delivery of the first real version, built to the architecture from Stage 1.YOU WALK AWAY WITHWe ship a real MVP to production, instrumented and observable, with a clear path to maintainability. The code we write for you lives in your repositories and is yours.
Managed servicesPHASE
For clients on a monthly retainer. We set up monitoring and alerting on the system we built together, then watch it and respond during business hours.YOU WALK AWAY WITHAlerts wired into your own tooling, business-hours monitoring and response, and fixes and improvements from your retained hours. Coverage hours are written into your agreement before you sign.
// SELECTED WORK
Hard things, shipped.
Most of this was built for Patternwise, our own AI reflection product and reference build. It is the same engineering we bring to client work, shown on a product we can talk about in detail.
Agentic RAGFull agentic retrieval pipeline for Patternwise, our voice-based reflection app. Retrieval, reasoning, and action all happen in a single agent runtime, with every answer traceable to its source.RAGagentsvoice pipelineretrieval
LiteLLM cost routingMulti-provider LLM routing layer with cost controls and model fallbacks. We prioritize keeping inference spend predictable under variable load.LLM routingcost controlinfrastructure
Encryption and data protectionUser content encrypted in transit with TLS and at rest with AES-256.encryptionprivacymobile
Stripe / billingBuilt the subscription and payment flows on Stripe: trials, upgrades, webhooks, and entitlement enforcement, wired end-to-end.Stripebillingpayments
Compliance workConsent management, retention and deletion controls, and a SOC 2-aligned security policy set, built to consumer-privacy and AI-companion rules.complianceaccess controldata handling
// WHO THIS IS FOR
When to call.
Your AI works in the demo but falls over in productionYou've proven the concept but the production version breaks under real load, real data, or real edge cases. We've seen that failure mode before, and we know how to engineer past it.
You're a founder with no AI team — and you need it builtYou have the vision and the domain knowledge, but you need people who can scope the system and then deliver it. We cover both.
You have engineers but need senior judgment on the hard callYour team is capable but this architecture decision is high-stakes — model selection, retrieval design, infrastructure tradeoffs. Bring in a second opinion before you commit.
Discovery sprint
Start with a discovery sprint.
Fixed scope, real deliverables, and a plan you own — before committing to anything larger.
Tell us what you're
building.
Send the problem, the systems it has to touch, and the deadline. We will tell you what it takes to engineer it, or if it's not a fit we will help guide you to a better solution.