Custom AI Software Development. From scratch.

Our engagements are fixed price, and full deployments typically range from $1 million to over $20 million depending on scope. Every engagement starts with a Fusion Workshop, a fixed-price working session that produces a detailed scope, a ranked roadmap, and an exact quote for the first build before you commit. The number is in writing before we start, and any change is priced and signed before we build it, so there are no surprises.

Timeline depends on complexity, but most projects follow a predictable pattern: 1-2 weeks for discovery and planning, 2-4 weeks for proof of concept, and 4-12 weeks for full development and deployment. Simple AI integrations can be completed in as little as 3-4 weeks total, while complex applications may take 3-6 months. We use agile development practices with regular check-ins and deliverables, so you see progress throughout and can provide feedback that shapes the outcome.

Yes. All custom code, trained models, and documentation created for your project are your intellectual property. We provide complete source code, model weights, training data configurations, and deployment documentation. You are free to maintain, modify, or extend the software independently if you choose. We also offer ongoing maintenance and support plans for clients who prefer us to manage updates, monitoring, and continuous improvement.

We work with the full spectrum of modern AI technologies including Python, PyTorch, TensorFlow, scikit-learn, and Hugging Face for machine learning; OpenAI, Anthropic, and open-weight LLMs for language AI; LangChain and LangGraph for agents and retrieval-augmented generation; computer vision frameworks; and cloud platforms including AWS, Google Cloud, and Microsoft Azure for deployment. We select technologies based on what best serves your specific use case, performance requirements, and long-term maintainability, not based on trends or preferences.

Most AI agencies are integrators: they wire a large language model into a no-code tool and charge a monthly retainer for a black box you never own. We go deeper. We use the same techniques as the frontier AI labs, training and fine-tuning custom models, building multi-step agents, retrieval systems, computer vision, and reinforcement learning, so when an off-the-shelf API is not accurate, private, or reliable enough, we can actually build the model instead of giving up. That depth makes even the simple automations more robust, and you own everything we build.

You work directly with the senior engineers building your software, not a chain of account managers and project layers. We scope tightly, ship a working proof of concept in weeks instead of quarters, and reuse battle-tested building blocks rather than starting every project from scratch. Because we do not carry the overhead of a large enterprise consultancy, a focused build typically reaches production for a fraction of the time and budget, while still being engineered to production standards.