Enterprise AI
We add AI features to your products and internal systems and run them in production alongside your other services. We plan for cost, data access and security from the start of the project.
What this covers
From prototype to production
We start by agreeing which problem the AI feature should solve and how you’ll measure whether it works. Projects begin with a prototype and move into production once the results are ready for real users.
Prototypes
Working prototypes built on real infrastructure. We built an AI-first game MVP in two months, and the studio used it to close its next funding round.
Assistants for your own data
Search and question-answering tools that use your documents and systems and follow your existing access permissions.
Production integration
Monitoring, cost controls and fallbacks for AI features once real users depend on them.
Frequently asked questions
We build AI features and assistants into products and internal tools, and we run them after they ship. The work starts from how your business already operates, so the AI fits your existing systems and keeps working once people depend on it.
Yes. We build AI assistants for internal tools as well as customer-facing products, and connect them to the systems and data your team already works with.
Yes. We operate the AI we build once it's in production. That includes monitoring how it performs, fixing problems and making changes as your needs develop. If you'd prefer your own team to run it, we hand it over with documentation.
For an AI-first game studio, we delivered a working prototype with real commerce infrastructure in two months. The studio used it in its pitch to investors and closed its next funding round.
A demo shows that an idea works under controlled conditions. A production AI system has to handle real users and data every day, stay secure, and be monitored and fixed when something goes wrong. We build for production from the start, using the practices our engineers use to run large online platforms.
Let's talk about your platform
Tell us what you're working on and we'll let you know if it's something we've done before.
Other services
- Platform & Tools Engineering Backend services, internal tools and build pipelines in C++, C#, Go, Rust, Java and the other languages your team uses. →
- Legacy & Cloud Modernization Planning and carrying out the move from older systems to cloud infrastructure, one stage at a time. →
- Security & Compliance Systems built to meet data protection, data residency and government cloud requirements. →
- Data Modernization Data pipelines, analytics platforms and telemetry for products that generate large amounts of data. →
- Technology Advisory Reviews of your architecture, vendors, costs and launch plans by engineers who have run large online systems. →
Our partners
