Modernize · AI adoption & integration
Add AI to the product and workflows you already have.
Not a chatbot bolted onto the corner of your app. We find the use cases that actually save time or make money, integrate them into your existing systems, and ship them with guardrails, evaluation, and cost limits.
Sound familiar?
Signs you need this.
- Your team spends hours on repetitive reading, writing, sorting, or data entry.
- Customers wait for answers that are already somewhere in your documents or data.
- You've tried an AI prototype, but it's not reliable enough to ship.
- You're unsure what's safe to send to an AI provider.
What we do
From where you are to a new orbit.
01
Find the right use cases
Workshops and data review to pick the one or two AI features with a clear payoff, not the flashiest demo.
02
Integrate with your systems
Connect models to your existing app, database, documents, and tools through secure server-side APIs.
03
Ground answers in your data
Retrieval over your own content so answers are accurate, current, and cite their sources.
04
Add guardrails
Input and output checks, permission-aware data access, and human review where the stakes are high.
05
Measure quality
An evaluation set built from real examples, so changes to prompts or models are tested before they ship.
06
Control cost and privacy
Rate limits, caching, model choice by task, and clear rules about which data leaves your systems.
How we keep it safe
Your business keeps running the whole time.
Modernization projects fail when they try to switch everything at once. Ours are built not to.
No big-bang cutover
Old and new run side by side, and we move one slice at a time.
A rollback for every step
Each cutover is rehearsed, with a tested way back if anything looks wrong.
Verified, not assumed
Automated checks compare old and new behaviour and data before anything goes live.
Secure by default
Every new system passes the Cosmerg Security Standard before launch.
What you get
Everything needed to run it without us.
Whether you stay in Orbit or take it from here, it's all yours from day one.
- An AI feature running in production inside your product
- Evaluation suite and quality dashboard
- Guardrails, rate limits, and spend alerts
- A data-handling summary you can share with customers
FAQ
Common questions.
Which AI models do you use?
Whichever fits the task and your constraints. We design so the model can be swapped later without rewriting the feature.
Will our data be used to train AI models?
We use provider settings and agreements that exclude your data from training where available, and we only send what the feature needs.
How do we know it's good enough to ship?
We agree on quality targets up front and measure against an evaluation set built from your real examples before launch.
Put AI to work where it pays off.
Start with an Assessment: a staged plan and a fixed quote, with its fee credited toward the project.