AI Discovery & Product Strategy
Find the highest-value place to apply AI, with a real architecture and roadmap — not a slide deck.
- Opportunity mapping
- Architecture
- Roadmap
AI Product & Engineering Partner
AI products, built end-to-end.
We help companies go from idea to production — the AI, the product, and everything around it. You work directly with the people who build it, and you own what we ship.
Proof, not promises
- 0+ Products shipped
- 0+ AI agents deployed
- 0ms Voice-to-voice latency
- 0% Workflow time cut
- 0% Risk-prediction accuracy
Where you are
Start from wherever you are.
Most companies come to us in one of three situations. Find yours — that's where we pick up.
01
We have an idea.
We validate it and build an MVP you can test, demo, and raise on.
See how we help 02We need AI in our product.
Features, copilots, agents, and automation, wired into what you already run.
See how we help 03We need to scale beyond the demo.
Reliability, observability, and evals, so a prototype survives real users.
See how we helpWhat we build
From your idea to a system in production.
Wherever you are on the path — a raw idea, a product that needs AI, or a prototype that has to survive real users — there's a stage to start at. We take it from there to shipped.
AI MVP Development
Get a working, shippable AI product in weeks — something real to test, demo, and raise on.
- Rapid build
- RAG
- Agents
AI Product Engineering
Build the complete AI-enabled product end to end — the model work and the app around it.
- Full-stack
- Model + app
- Infra
AI Integration & Automation
Add AI to your existing product and workflows — copilots, agents, knowledge systems, automation.
- Copilots
- Agents
- Automation
Production AI Systems
Take a prototype that works in the demo to something that survives real users — reliability, observability, evals.
- Evals
- Observability
- Reliability
Wherever you are, we pick it up.
Idea, MVP, or a prototype that has to scale — these stages are one path. See how they connect, end to end.
The path to production Under all of it
Product Engineering — Web & Mobile
The complete product around the AI — and full web and mobile builds that don't need AI at all. Modern web apps and cross-platform mobile, shipped end to end.
- Web apps
- iOS + Android
- Backend & infra
AI agents·Conversational & voice AI·RAG / knowledge systems·Full-stack web·Cross-platform mobile
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
Scope
We map the problem, the constraints, and what ‘production’ has to mean — before any code.
- 2
Architect
System design, model and framework choices, and the evaluation harness, decided up front.
- 3
Build & evaluate
We ship in tight increments against real data, with evals gating every change.
- 4
Ship & hand over
You get the code, the infrastructure, and the runbook. Yours to own — no lock-in.
Selected work
What we've shipped.
Enterprise IT services — ITSM operations
AI-Powered Change Risk Engine That Predicts Incidents Before They Happen
Turned ~100K raw change and incident records into a production system that grounds every risk verdict in real historical failures — semantic retrieval, deterministic risk math, and an LLM agent layer working together instead of a black-box score.
~50× faster Similar-incident retrieval latency vs. manual search
Enterprise IT — IT service management
An enterprise AI risk-assessment platform on a migrated data layer
Enterprise-grade data architecture plus an AI risk-scoring layer — proof we operate at scale and handle real data engineering, not just model calls.
10× Concurrent write throughput after migration
Capabilities
The systems we build, and the outcomes they drive.
Representative of the work we take on — illustrative capabilities, not named client projects.
Agentic systems
An AI support agent
Deflects routine tickets, escalates the ones that need a human, and gets sharper with every resolved conversation.
Knowledge systems
An internal copilot over your docs
Answers from your company's own documents — sourced, access-controlled, and honest about what it doesn't know.
Agentic systems
An autonomous AI SDR
Researches leads, drafts tailored outreach, and books meetings — with a human in the loop where judgment matters.
Full product
A cross-platform app, zero to launch
One codebase taken from idea to the App Store and Play Store, with the backend and infrastructure to run it.
From the Journal
How we think about building.
comparison
AI studio vs. agency vs. in-house: how to choose
AI studio, AI agency, or an in-house hire? Each fits a different situation. Here's a straight comparison to help you choose what to build your AI with.
explainer
What is an AI product & engineering partner?
An AI product & engineering partner designs, builds, and ships your AI to production — the model and the product around it — then hands it over.
comparison
Forward-deployed engineer vs. AI partner: which do you need?
A forward-deployed engineer embeds in your team to ship AI; a product & engineering partner owns the build end to end. Here's how to choose.
FAQ
The questions founders actually ask.
How do engagements work?
Most work is a fixed-scope build with milestones, so you see working software at each step. We scope precisely up front, then ship in tight increments against real data with evals gating every change.
What kinds of projects do you take on?
AI agents and automation, conversational and voice AI, RAG and knowledge systems, AI features inside an existing product, and the full-stack web and mobile apps around them — from a focused build to a complete product, end to end.
Which technologies and frameworks do you build on?
Whatever fits the problem — open agent frameworks, your existing stack, or a vendor platform when it's genuinely the right call. We choose on the merits, not on what we resell.
Who owns the code and IP?
You do. Every engagement hands over the source, the infrastructure, and the runbooks. There's no lock-in to a Cysmiq product.
What's a typical timeline?
A focused production build is usually weeks, not quarters. We scope it precisely up front so the timeline is a commitment, not a guess.
How do you handle confidentiality and NDAs?
We work under NDA and never name clients or expose identifying details. Anything we publish is anonymized to the point that it can't be reverse-identified.
Free AI Opportunity Assessment
Not sure where AI fits? Let's find out — 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.