We help companies plan, build, and ship AI and software tools that solve real problems. This includes AI strategy, custom AI development, data work, and full software builds. Some clients come to us with an idea and need help shaping it. Others need a finished system. We handle everything from planning to deployment.
An AI strategy is a clear plan for where AI makes sense in your business and how to roll it out. It focuses on the parts of your operation where AI can save time, reduce costs, or improve a product. Our QuickStart service delivers a focused plan and timeline in under two weeks.
LLMs are models that read and generate text. Automation uses AI to handle repetitive tasks. Agents are systems that can make decisions and complete multi-step work. Custom solutions are built specifically for your business and often mix several of these pieces together. We help you pick the approach that actually fits what you're trying to do.
Custom development means we build tools around your processes, your data, and your systems. Off-the-shelf tools can be useful, but they rarely match how your business works. Custom builds fit into your workflow, use your data, and solve your specific problems. The result is usually better performance and a system that grows with your business.
We work with agencies, service companies, SaaS teams, tech firms, portfolio companies, and startups. Some clients are small and moving fast. Others handle hundreds of millions in annual volume. We adapt our work to the size and needs of each team, whether they're improving operations, building new features, or creating new AI tools.
AI is most helpful in companies with repetitive work, large amounts of data, customer support needs, or manual processes that slow teams down. We often work with SaaS, agencies, e-commerce, finance, healthcare, and manufacturing. The value depends on the specific workflow you want to improve.
It depends on the project size, but many clients see results within a few weeks or months. Our Proof of Concept service builds a working prototype in about two weeks, so you can judge the value early. Full solutions usually start showing returns within 3-6 months, with many reaching full payback in a year or so.
Most clients see lower costs, faster workflows, better accuracy, and time savings on routine work. Some increase revenue by improving their product or adding new capabilities. Others improve customer service or use AI to make better decisions from their data. The outcome depends on the problem you're trying to solve.
Without a plan, companies often spend money on tools that don't solve the right problems or don't scale. Teams end up trying random experiments without a clear goal. A strategy helps you focus on the work that matters, avoid wasted effort, and stay competitive with companies that are already using AI effectively.
Yes. We regularly connect AI tools to CRMs, marketing platforms, data pipelines, support tools, and custom applications. We work with APIs, webhooks, and other integration methods so everything fits into your current setup without extra hassle.
No. We design solutions to fit into your current workflows. Most of what we build runs alongside your existing systems at first, then gradually takes over the repetitive work. This keeps day-to-day operations running smoothly.
We start by learning how your business works through calls and workshops. During the build, we stay in regular contact, share progress, and train your team on how to use the tool. After launch, we help monitor it, answer questions, and make improvements as needed.
We provide documentation, training, and support. We help you track performance, measure results, and make adjustments. Many clients continue working with us to expand features or build new tools as their needs grow.
Yes. Everything we build for you is yours — code, models, configurations, documentation, all of it. You can use it, change it, or scale it however you want.
We follow standard security practices such as encrypted data transfer, controlled access, and confidentiality agreements. Your data is only used for your project. We can also match your existing security or compliance requirements when needed.
We help set up clear rules for how data is stored, accessed, and tracked. This includes permissions, audit logs, and compliance with regulations like GDPR or HIPAA when required. We document how data moves through the system and can support audit requests.
We choose the model that fits the job, whether that's GPT-5.1, Claude 3.7, an open-source model, or a task-specific model. When stronger models come out, we test them and upgrade your system if it makes sense. Our setups are flexible, so you can switch models without rebuilding everything.
No. We also build full software systems, APIs, data pipelines, and infrastructure. Many projects mix AI with custom software so everything works together as one solution.