AI agents & copilots
Support agents, internal ops copilots, and research assistants that use your tools and data to complete tasks.
AI agent development
AI agents that actually ship to production
We're the product and engineering team that designs, builds, and runs AI agents for companies without an in-house AI team — from your first workflow to production, in weeks, not years.
We build custom AI agents and automation — support and ops copilots, document and workflow automation, LLM features inside your existing systems — and ship them to production with evaluations, guardrails, and monitoring.
Is this you?
Who it's for
A good fit if you
Run a small or mid-sized company without an in-house AI or dev team.
Have a repeatable, high-volume process AI could take over.
Want an agent live and reliable in production — not a weekend demo.
Probably not a fit if you
Just need a quick no-code bot and don't need it to be reliable.
Have no owner for the process on your side.
Want full autonomy where a human really needs to stay in the loop.
What we build
From a single workflow to an agent that runs the work
Workflow & document automation
Turn manual, repetitive work into reliable automated flows — with checks along the way.
LLM & RAG integration
Bring AI into the tools and data you already use — safely, with retrieval grounded in your sources.
Custom models & pipelines
When off-the-shelf isn't enough — custom models, evaluation, and the data plumbing behind them.
How we work
A prototype in weeks, production shortly after
Discovery & scoping
We map the use case, data, and the fastest path to value.
Prototype
A working agent you can try in about 1–2 weeks — not slides.
Production build
Evaluations, guardrails, monitoring, and data safety, baked in.
Launch & iterate
We ship, measure on real usage, and improve. You own the code.
Why Waveo
Real engineering, not a no-code demo
The market is filling with no-code shops. The difference is whether the agent survives production.
Real engineering
AWS Solutions Architect certified, real production systems — not prompt demos.
Agents that survive production
Evaluations, guardrails, observability, and data security from day one.
The product around the agent
We can build the app, integrations, and data layer too — not just the model call.
Proof
Systems we've shipped
Client details kept confidential; described by domain and outcome.
AI agents
Multi-agent content engine
An internal system that discovers, scores, and turns sources into published content daily — with human approval before anything ships.
Automation · guardrailsAI SEO pipeline
AI copy across a 400-SKU catalog with deterministic guardrails that block unverified claims — AI writes, engineering verifies.
Engineering depthProduction data & IoT systems
Digital-twin and data platforms shipped to production — proof we take complex AI from idea to live.
How engagements work
Start small, prove value, then scale
Every engagement starts with a paid discovery sprint, so you get a concrete plan and estimate before committing to a build.
Discovery sprint
A fixed, paid sprint that maps the use case, data, and ROI — and returns a plan and estimate.
Fixed-scope pilot
A production-ready agent for one workflow, with evals and guardrails, at an agreed scope.
Ongoing partnership
We run and improve the agent, and build the next ones, as an extension of your team.
FAQ
Questions we hear a lot
What's the difference between an AI agent and a chatbot?
A chatbot answers questions. An agent takes actions — it uses your tools and data to complete tasks end to end, with checks and a human approval step where it matters.
Do we need our own developers or AI team?
No. Waveo is your team — we design, build, run, and hand it over. You don't need in-house AI or engineering to start.
How long until an agent is in production?
A working prototype in about 1–2 weeks. Production depends on scope, but we work in weeks, not quarters.
How do you keep agents accurate and safe in production?
Evaluations, guardrails, human-in-the-loop where decisions matter, monitoring, and data-security by design.
Which models and tools do you use?
We're model-agnostic and pick per use case. The engineering around the model — retrieval, evals, guardrails, integrations — is where reliability comes from.
What does it cost and how do we start?
With a paid discovery sprint that gives you a plan and estimate before any build commitment. Book a call and we'll scope it.
Get started
Have a process worth automating?
Tell us what you're trying to build — we'll come back with how we'd approach it.
Book an AI discovery call