Line drawing of four thin slabs stacked in isometric projection, joined by hairlines, the third slab filled terracotta.

The same four layers; different contents every business.

Four layers, and what goes in.

The same four layers under every build; what goes in them is the conversation.

01 / Clients

Built to the operation.

The screens people actually work in.

  • iOS
  • Android
  • Web
  • Internal dashboards
  • Offline-tolerant
02 / Endpoints

Your logic, made callable.

One source of truth for every app and agent.

  • REST
  • Webhooks
  • Token auth
  • Rate limits
  • Versioned
03 / Intelligence

Grounded in your records.

It reads your records first; a wrong answer is traceable.

  • Retrieval
  • Ingest pipelines
  • Evaluation sets
  • Guardrails
  • Human review
04 / Foundation

The layer nobody buys.

Part of the engagement, not a second budget.

  • Managed hosting
  • CI / CD
  • Monitoring
  • Backups
  • Patching

Application & device engineering

Native and web applications, the APIs behind them, and AI features built into the architecture rather than bolted on: for product teams, internal teams, and pilots that need to graduate to production.

  • Native Android and iOS apps, and responsive web apps
  • Internal tools and dashboards that replace re-keyed, manual workflows
  • REST APIs, webhooks, auth, and integrations with your existing systems
  • AI features on Vertex AI and Gemini: retrieval, evaluation, guardrails
  • Pilots and prototypes engineered to become production software
How it lands

A working app or tool on production infrastructure, typically in weeks, with a deployment pipeline, monitoring, and an owner for the code after launch.

AndroidiOSWebRESTVertex AIGeminiCI / CD

We ship our own native Android app to Google Play today, from one API that also serves iOS and web.

UX & product design

Research, flows, screens, and the front-end that implements them. One team, so nothing is lost between the design file and the code.

  • User research, journey mapping, and flows built around how the work actually happens
  • Platform-native interfaces: Material 3 and Apple HIG, dynamic color, type scale, accessibility
  • Design systems and component libraries your product teams can reuse
  • Clickable prototypes in days, ready to put in front of real users
  • Front-end implementation on Android, iOS, and web, not just a handoff
How it lands

Screens that ship. Designed to the platform's guidelines and built by the same people, so the product your users see is the product that was designed.

Material 3Apple HIGDesign systemsAccessibilityPrototypingFront-end

This site is one design system, designed, built, and run by the same team.

Sales support

The data and tooling that sales and partner teams run on: cleaned, connected to the systems they already use, and reported in one place.

  • Lead-generation and enrichment pipelines at scale, delivered CRM-ready
  • CRM sync and data operations across Salesforce, HubSpot, Apollo, or custom systems
  • Pipeline and partner dashboards with the metrics teams actually track
  • Outreach tooling: sequences, templates, and automation with human review
  • Pitch collateral, decks, and one-pagers for sales and partner conversations
How it lands

Sales and partner teams get clean data and working tools in the systems they already use, and a dashboard that reflects the pipeline as it is.

Lead enrichmentCRM syncDashboardsAutomationCollateral

We run our own outbound on this tooling: thousands of leads scraped, structured, enriched, and loaded into a CRM.

Customer support

Support assistants and workflows grounded in your own documentation and records, evaluated before rollout and monitored after it.

  • Retrieval-grounded assistants over your product docs, policies, and records
  • Ticket triage, classification, and routing automation
  • Evaluation harnesses and guardrails before anything reaches a customer
  • Support dashboards and knowledge-base tooling for agents
  • Monitoring with a route to a human when something breaks
How it lands

An assistant that answers from your data, not a general model guessing at your domain, with measured accuracy, escalation paths, and a team on call.

RAGEvaluationGuardrailsTriageMonitoring

The same retrieval, evaluation, and guardrail layers run in our own production AI pipelines today.

Four layers, and what goes in.

Clients. Endpoints. The AI layer. Data and operations.