Get your team building with AI in weeks, not quarters.
We help your team adopt AI the right way. Train your engineers to build with it, and build it into your product and workflows, guided by a team that runs its own AI infrastructure in production.
AI moves faster than most teams can adopt it
The models are capable and getting better every few months. The hard part is putting them to work without slowing your team down or creating risk. Pilots stall, tools get bought and forgotten, and AI ends up bolted on instead of built in. We close that gap with a plan your team can run, and the training to make it stick.
Two ways we help
Bring your team up to speed, build AI into what you ship, or do both. Most teams start with one and grow into the other.
Train your team
- Hands-on sessions on your codebase, not generic prompt tutorials
- Patterns for using AI in code review, testing, and documentation
- Guardrails so your team ships fast without shipping mistakes
- Playbooks your engineers keep using after we step back
Build AI into your product
- Features like search, summarization, classification, and assistants
- Automation that clears repetitive work out of your team's day
- Private model hosting when your data needs to stay in-house
- Integration with the tools and data you already run
What you get
Team training and upskilling
We embed with your engineers and get them productive with AI on the work they already do. The goal is fluency, not a certificate on the wall.
Workflow integration
We wire AI into the places it saves the most time: support triage, data entry, reporting, and the handoffs between your systems.
AI product features
We design and build AI features into your application, from a first prototype to a production feature your customers rely on.
Model strategy and privacy
We help you choose between commercial and open models, and can host them on our own infrastructure so your data stays private.
How we work
Start small, prove it on your work, then scale what works across the team.
Find the highest-value uses
We look at how your team works and where AI removes the most friction, then rank by impact instead of hype.
Pilot on your work
We run a focused pilot on your workflows and codebase, so you see results before committing to anything larger.
Train and roll out
We upskill your team, put guardrails in place, and hand over playbooks so the gains keep compounding after we step back.
We run our own AI infrastructure
We host open models on our own compute, expose them through a standard API, and run a public AI chat on the same platform. When we help your team adopt AI, it comes from a group that operates this in production, not one reading about it.
That is also how we keep your data private when it matters. Models can run on infrastructure you control, so the sensitive parts of your business never leave it.
Need the whole application built around it? That is our custom software development work.
The Full Software Lifecycle
One team from the first line of code to production and everything after. Wherever your software is today, we can pick it up from there.
Custom Software Development
Applications built from scratch around how your team works.
ExploreAI Application Development
Train your team on AI and build it into your product and workflows.
Software Improvement
Improve, secure, and stabilize the software you already run.
ExploreSoftware Deployment
Ship to AWS, Azure, Google Cloud, or your own servers.
ExploreFrequently Asked Questions
What teams ask before bringing AI into how they build.
Two things. We train your engineers to use AI tools well in their day-to-day work, and we build AI into your applications and workflows. You can start with either and grow into both.
Yes. Training is hands-on and embedded. We pair with your engineers on the work they are already doing, so the skills stick to your stack and your workflow rather than a generic slide deck.
We work with the leading commercial models and with open-source models we host ourselves. We help you pick the right one for each use case based on cost, privacy, and quality, rather than pushing a single vendor.
It can be. We can run models on infrastructure we host so your prompts and data are not shipped to a third-party API. You decide what stays in-house and what does not.
Tools on their own tend to stall. Adoption comes from tying AI to how your team ships, with the training and guardrails to use it safely. That is the part we focus on.
Product features like search, summarization, classification, and assistants, plus internal automation that removes repetitive work. We scope it to what moves the needle for your business.
Let's Talk About Your Project
Reach out to discuss what you need. No sales pitch, just a conversation about whether we're a good fit.