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RROEI/TECH
SERVICES

Everything necessary
to ship software.

One team across product, design, engineering and infrastructure — so nothing falls in the seams between disciplines.

TEAM
Product · Design · Engineering
MODEL
Embedded pod, 4–6 weeks per cycle
STACK
Next.js · TypeScript · Postgres
AVAILABLE
Q2 · 2026
  • 01

    Product Strategy

    Discovery, roadmap and scope shaped around the business problem.

    We start where the operating model breaks — spreadsheets, hand-offs, ad-hoc workflows — and design a product that removes the break rather than papering over it.

    OUTPUTS
    • Discovery report and technical read
    • Prioritized roadmap with sequencing
    • Scope with clear cut-lines
    • Success metrics and measurement plan
  • 02

    UX / UI Design

    Interface systems built for information density and long-term maintainability.

    Design systems that outlive redesigns — tokens, primitives, and layouts that a small team can extend without collapsing under their own weight.

    OUTPUTS
    • Design tokens and component library
    • Application-scale UI systems
    • Keyboard-first interactions
    • Accessible by default
  • 03

    Web Applications

    Type-safe web platforms on React, Next.js and modern edge infrastructure.

    End-to-end typed applications with server components, edge runtime, and a database story that survives real growth.

    OUTPUTS
    • Next.js App Router platforms
    • Typed data layer with Postgres or Supabase
    • Auth, roles and org models
    • CI, previews and production observability
  • 04

    SaaS Platforms

    Multi-tenant products with billing, auth, workflows and observability wired end-to-end.

    The unglamorous plumbing done properly: tenants, roles, seats, invoices, webhooks, exports and audit trail — so the product team can focus on the actual product.

    OUTPUTS
    • Multi-tenant data model with RLS
    • Billing and metering with Stripe
    • Admin, ops and support consoles
    • Deployment on Vercel or AWS
  • 05

    AI Systems

    Agentic workflows, RAG pipelines and evaluation harnesses that survive production.

    AI as a system, not a demo — typed contracts, retrieval that grounds answers, evals from day one, and observability into every LLM call.

    OUTPUTS
    • RAG and agent architectures
    • Evaluation harnesses and golden sets
    • Guardrails, redaction and audit
    • Streaming UIs and citations
  • 06

    API & Integrations

    Reliable connectors between the tools your operation already runs on.

    Typed contracts, retries with backoff, dead-letter queues, and dashboards for the operator — so integrations don't turn into a permanent tax on the team.

    OUTPUTS
    • REST and event-based integrations
    • Webhook receivers with retries
    • Connector dashboards for ops
    • Idempotent, replayable pipelines
NEXT

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