Services

From AI idea to production.

We meet you where you are — a raw idea, an existing product to add AI to, or a prototype that needs to survive real users — and take it to a deployed system you own. Pick the stage you're at.

See how the stages connect — the path to production →

01

AI Discovery & Product Strategy

You can see AI mattering for your business, but not where it pays off first — or whether the idea survives contact with real constraints. The wrong starting point burns a quarter.

The outcome A clear, costed plan for the highest-value place to apply AI — and the confidence to commit to it.

Not sure where to start? Book a free AI Opportunity Assessment →

What we build

  • Workflow and opportunity mapping across your product and operations
  • A target architecture and a roadmap to production — not a slide deck
  • Build-vs-buy calls, model and data strategy, and the risks named up front
  • A scoped MVP definition you can take straight into a build
02

AI MVP Development

You need something real — to test with users, demo to a board, or raise on — and you need it in weeks, not quarters. A slide deck won't do it.

The outcome A working AI product in weeks — something real to put in front of users and investors.

What we build

  • A working, shippable AI product focused on the one thing that has to prove out
  • Real model work — retrieval, agents, or generation — wired into a usable app
  • The plumbing a demo needs to survive a live audience
  • A foundation you can extend, not a throwaway prototype
03

AI Product Engineering

You've validated the idea and need the complete product built — the model work and the application around it — by a team that has shipped AI to production before.

The outcome A complete AI product your users feel — designed, built, and shipped, not stitched together from pieces.

Try: RAG chunk-size visualizer →

What we build

  • The full AI-enabled product, end to end — model, app, data, and infrastructure
  • Auth, billing, dashboards, and the unglamorous plumbing of a real product
  • Streaming interfaces, retrieval, and orchestration where they earn their place
  • Cost and latency kept under control as you scale
04

AI Integration & Automation

You already have a product and workflows that work. You want AI inside them — copilots, agents, automation — without ripping anything out or hiring an AI team.

The outcome AI working inside the product you already have — more done, without the busywork.

Read: What is an AI SDR? →

What we build

  • AI features added to your existing product, end to end
  • Tool-using agents and copilots wired into your real systems and APIs
  • Knowledge systems and RAG over your own documents, with citations
  • Automation for the repetitive operational work, with guardrails and human handoff
05

Production AI Systems

Your prototype shines in a demo and falls over in production — flaky outputs, no observability, and no way to tell if a change made it better or worse.

The outcome A prototype turned into a system that survives real traffic — measured, observable, and dependable.

What we build

  • An evaluation harness, so behavior is measured rather than hoped for
  • Observability, logging, and tracing across the AI system
  • Reliability work — retries, fallbacks, rate limits, and failure modes handled
  • The hardening that takes a demo to something real users can depend on
06

Product Engineering — Web & Mobile

The AI is only half the product — and sometimes the smart build needs no AI at all. Either way you need a fast, reliable web or mobile app that holds up in production.

The outcome A complete web or mobile product, shipped to production and yours to own — AI optional.

What we build

  • Modern web apps built and shipped end to end — auth, data, billing, dashboards
  • Cross-platform mobile from one codebase to the App Store and Play Store
  • The backend, APIs, and infrastructure that power it
  • Full builds with no AI at all, when that's the smarter call

Capabilities behind the work: AI agents & automationConversational & voice AIRAG / knowledge systemsFull-stack web appsCross-platform mobile apps

Why us

Most providers do one half. We do both.

Software agencies can build the app but lack AI depth. AI consultancies know the models but can't ship a whole product. Cysmiq does both — so you get a complete system, not a stack of isolated pieces.

What it takes Software agenciesAI consultanciesCysmiq
Build a complete product — web and mobile Yes No Yes
Real AI and ML engineering No Yes Yes
Idea to production, owned by you Partial Partial Yes
Work directly with the people who build it No Partial Yes

How we work

Evals at every step. Ownership at the end.

  1. 1

    Scope

    We map the problem, the constraints, and what ‘production’ has to mean — before any code.

  2. 2

    Architect

    System design, model and framework choices, and the evaluation harness, decided up front.

  3. 3

    Build & evaluate

    We ship in tight increments against real data, with evals gating every change.

  4. 4

    Ship & hand over

    You get the code, the infrastructure, and the runbook. Yours to own — no lock-in.

What every engagement includes

Built right, and handed over.

AI-led, end to end

We lead with the AI and build the whole product around it — web, mobile, data, infrastructure. One team, start to finish.

Architected, not templated

Every build starts from your problem and constraints. We make the trade-offs explicit before any code is written.

Production-grade

Evals, observability, and the unglamorous plumbing that decides whether a demo becomes a product people rely on.

Yours to own

Source, infrastructure, and runbooks hand over to you. No lock-in to a Cysmiq product, and we work under NDA.

Free AI Opportunity Assessment

Not sure which stage you're at? Let's map it — free.

  • Where AI creates real value in your business
  • What's actually worth building first
  • A clear, honest next step — even if that's “not yet”
Book a free AI Opportunity Assessment

30 minutes. No obligation. You leave with direction either way.