AI engineering,
actually shipped.
We embed senior AI engineers inside your organization. They join your Slack, commit to your repo, and don't leave until it's in production.
The problem
Most AI projects
never see daylight.
87% of machine learning models never make it to production. Not because the technology isn't good enough — because building AI that survives contact with reality is a different skill than building AI in a notebook.
The gap is execution. And execution is a people problem.
Decks, not deploys
Traditional firms deliver strategy. Six months and $200k later, you have a framework and a recommendation to hire.
Engineers without context
Agencies send developers who spend the first three months understanding your domain instead of building in it.
Staging-ward bound
In-house proofs-of-concept impress in demos then quietly die because no one owns taking them to production.
Services
What we do,
concretely.
Embedded AI Teams
A dedicated team of senior AI engineers joins your organization — in your Slack, in your standups, committed to your repo. They own the problem end-to-end, from data to deployment.
AI System Architecture
Before you write a line of code, we design the right system. Data ingestion, vector stores, fine-tuning strategy, evaluation frameworks, monitoring. A blueprint you can build with confidence.
Rapid Deployment Sprints
A single use case, fully built and deployed in two weeks. Real users, real data, honest results. The fastest way to know if an AI investment is worth making.
AI Capability Building
We don't just build the thing — we make sure your team can own it. Hiring support, internal training, tooling setup, and the processes that keep AI systems healthy after we leave.
How it works
From kickoff to
production.
No months-long onboarding. No hand-off theater. Our engagement model is built around one thing: getting your AI running in the real world.
Embed & align
Our engineers join your Slack, get repo access, and run discovery sessions. By end of week two we have a shared definition of success and a technical roadmap.
Build & ship
We write code. Real code, in your codebase. Weekly demos with real users — not slides. We adapt fast based on what the data and users tell us.
Harden & hand off
We stress-test for production, document everything, and work alongside your engineers until ownership is fully transferred. You end up stronger than before we arrived.
Lab partnerships
Deep partnerships
with the frontier.
We work directly with the labs building today's best models — and engineer the systems that make them work at enterprise scale.
That means you get engineers who understand model behavior at a deep level, not just API wrappers.
Why Trida AI
Built for builders.Hired for results.
We started Trida AI because too many AI projects fail not from lack of ideas, but from lack of execution. Every principle below exists because we've lived the alternative.
Senior engineers only
Every FDE has shipped AI to production. No juniors, no PMs pretending to code.
Outcome-based pricing
We price against business outcomes, not hours. No milestone = no invoice.
Opinionated, not dogmatic
We have strong views on what works, we'll tell you when an approach is wrong, but adapt to your constraints.
Knowledge transfer by default
Everything we build, your team understands. Docs, training, pair-programming until ownership is clear.
Full-stack AI capability
Data pipelines to model training to APIs to UI. No finger-pointing between vendors.
Week-one start
Within a week, our engineers are writing code in your repo.
Let's build
something real.
Tell us about your toughest AI challenge. We respond within 24 hours with an honest opinion — not a sales pitch.