Capture once. Use anywhere. We help teams adopt the same memory and workflow infrastructure we run ourselves — through hands-on build and integration, structured advisory, workflow deployment on shared rails, and managed operations. Same production bar as our own Products.
This is platform deployment, not a generic services shop. We commercialize through subscriptions, platform and API access, workflow deployment, and managed infrastructure — and we embed alongside leadership on portfolio, program, and operations when clearer execution matters as much as the codebase, even when building software for you is not the ask.
Below: ways to engage, how engagements are typically shaped, operations and portfolio or program support, technical capability when build is in scope, and the stack we draw from.
Ready to talk scope? Contact is the place to start. For a detailed message, use Signal.
For a high-level read on commercials, on-page FAQs, and an optional SOW-to-line-item appendix (no dollar amounts on the web), read How we bill — or request a written fee list through Contact.
Choose the shape that fits your roadmap — we often blend these across a product or change initiative, including advisory-only phases before or alongside build, and work where portfolio, program, or operations are the main lever.
Advise — strategy & solution design
Architecture reviews, AI and vendor fit, roadmaps, technical diligence, and delivery-facing org threads (prioritization, sequencing, governance) — structured outcomes when you need clarity and a plan without us committing code.
Build — product & platform
End-to-end delivery: discovery, design partnership, implementation, and launch. Outcome ownership, not ticket churn — including AI-native and full-stack product work.
Integrate — systems & APIs
Connect CRMs, warehouses, identity, payments, and internal tools. Clear contracts, edge-case handling, and documentation that matches what ships.
Augment — embed with your team
Staff augmentation, reviews, architecture guidance, or a lead for a critical initiative — including program- or portfolio-facing roles when you need senior capacity inside your operating model. We match your cadence and toolchain.
Every relationship is different; below is a typical shape — not a contract. We will propose something specific after intake.
Phases
Align — goals, constraints, and success criteria. Shape — discovery sprint, advisory arc, or portfolio/program framing to reduce risk before big commits. Build / integrate — iterative delivery with visible milestones when code is in scope. Ship & steady — handoff, observability, and what “run” means for your team; for non-build work, documented decisions, cadence, and ownership handoffs.
Typical horizons (indicative)
Advise — often a few weeks to a couple of months for a defined review, roadmap, or diligence thread. Portfolio / program — similar horizons when the scope is governance, sequencing, and operating cadence rather than code. Build — depends on scope; meaningful product slices commonly span multi-month programs, with earlier milestones for validation.
What you walk away with
Advise: written findings, options with tradeoffs, architecture or vendor fit, prioritized roadmap, and risks called out. Org / program: decision logs, dependency views, governance and cadence recommendations you can run without us. Build: working software in your environments, repos and docs as agreed, and runbooks your team can operate.
An engagement does not have to center on software we build for you. We sit with your team on how initiatives are chosen, sequenced, and governed — so capacity, risk, and outcomes stay legible. That can stand alone, run ahead of a build, or parallel engineering when both need attention. We stay concrete: written tradeoffs, explicit assumptions, and handoffs your org can own.
Portfolio & prioritization
Option sets, sequencing, and risk callouts so investment lines up with constraints and the outcomes you are actually measuring.
Program structure
Milestones, dependency maps, and checkpoints when work is multiply owned and the critical path is easy to lose in the noise.
Operating rhythm
Reviews, decision logs, and handoffs tuned to how your team runs — not a borrowed template disconnected from your culture.
Product and platform work at the same standard we ship for ourselves — web apps, SaaS foundations, and internal platforms from first prototype to hardened production, including AI-forward experiences. Architecture you can evolve, tests that earn trust, and a path to scale.
Greenfield & modernization
New builds alongside strangler patterns and careful refactors so you ship while the system changes.
TypeScript end-to-end
Shared types across browser and server; fewer surprises when APIs and UIs move together.
Quality & release discipline
Automated testing, CI/CD, and observability so releases stay predictable under real load.
REST and OpenAPI-first services, webhooks, batch jobs, and glue between systems — where core product and intelligent features meet CRMs, identity, payments, and internal tools. We care about auth boundaries, idempotency, and operability when things fail.
Service layers & contracts
Node (Express, Fastify), Python (FastAPI), JVM (Spring, Ktor), PHP (Laravel) — chosen for fit, not fashion.
Payments & comms
Stripe billing lifecycles, Twilio messaging, maps and location layers — integrated with clear secrets hygiene.
Regulated & public data
Connectors to federal and industry APIs (e.g. EDGAR, FDA, SAM) when compliance and audit trails matter.
Relational cores, caches, documents, and object storage — modeled for your workload, retrieval, and analytics. Row-level security, migrations, and reporting pipelines that respect who should see what when AI features touch production data.
PostgreSQL & Supabase
Complex queries, RLS policies, realtime where it fits, and auth-aware data boundaries.
Polyglot storage
Redis, MongoDB, SQLite, MySQL/MariaDB, S3-compatible object storage — each where it earns its place.
Dashboards & insight
Charting and analytics views in the product; pipelines and ORMs (SQLAlchemy, JPA) when the domain is heavy.
Full-stack intelligent features — not a bolt-on: generation, embeddings, multimodal input, and evaluation wired through your product’s auth, data, and UX. Providers chosen for fit, latency, and cost; multi-provider orchestration and MCP where standards help.
Model providers
OpenAI, Anthropic (Claude), Google Gemini, Mistral, Perplexity — with fallbacks and routing by task.
ProvidersProduction patterns
Structured outputs, SSE streaming for live UX, cost caps, and evaluation hooks so features stay measurable.
DeliveryPython & data stack
Pipelines, NLP, and ML-adjacent services where Python and FastAPI are the right tool.
AI · DataInterfaces where users meet your product and its intelligent features — fast and accessible from phone to desktop. React and Next.js on the web; SwiftUI, Jetpack Compose, and React Native for native and cross-platform.
Modern web UI
React, Vite, Next.js, Tailwind, MUI; validated forms (React Hook Form + Zod) and solid routing.
Client state
TanStack Query, Zustand, Redux Toolkit, Inertia with Laravel when the server drives navigation.
Mobile
Native Apple and Android patterns; Firebase when push and analytics need Google’s hosted pieces.
The reliability layer under production AI and full-stack products — containers, CI/CD, edge and cloud runtimes, observability, and API shapes that stay maintainable as the team and traffic grow.
Runtimes & edge
Docker, Cloudflare, GCP (Cloud Run, GCS, Vertex), Supabase Edge Functions, GitHub Actions pipelines.
APIs & composition
REST + OpenAPI, GraphQL, gRPC for internal services, SSE for live streams, embeddable widgets with clear boundaries.
Platform discipline
Monorepos (Turborepo), Terraform, Sentry, Celery for async work — so changes stay reviewable and reversible.
When we move past intake, engagements are governed by clear statements of work and master services agreements as appropriate, with written exhibits for recurring hosting, usage, and add-ons when they apply. We bill by line item so invoices separate professional time (against the SOW), platform and pass-through infrastructure, metered consumption where relevant, and any support or optional services you have engaged. Insurance certificates and vendor security questionnaires are available on request for qualified work — say so in Signal so we can route procurement. For security practices and disclosure, see Security.
Capture once, use anywhere in production Institutional memory in Slack threads
Tell us whether you want hands-on build, integration work, advisory-only, portfolio or program support, or a mix. Share the product or initiative, the systems and constraints in play, and the timeline — we will respond with a straight read on fit.
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