Five disciplines. One standard.
All the things that we build are judged by the same standard—AI that is able to cope with production. Choose the area most relevant to your issue or just give us a call and we'll decide together.
AI Agents & Agentic Workflows
Agents which plan, carry out, and conclude multi-step tasks within your actual systems — these being orchestrated, protected, and approved by you.
Explore →Conversational AIAI Chatbots & Voice AI
Chatbots that are multilingual and voice assistants using phone lines which are able to handle real conversations and transfer them over smoothly.
Explore →Generative AIGenerative AI & RAG
Applications of large language models based on your data—such as knowledge systems, document intelligence, and evaluations that confirm the answers are correct.
Explore →Product EngineeringAI-Native Web & Mobile Apps
The products are designed with a focus on AI, progressing from spec-driven MVP sprints all the way through to scalability—covering both the app and the intelligence, with a single team.
Explore →ML & InfrastructureML, Computer Vision & Cloud MLOps
The custom models, the vision systems, and the GCP/AWS infrastructure used to ensure that they remain fast, are monitored, and affordable.
Explore →Everything here, buildable on Google Cloud.
We have certified engineers, validated architectures, and extensive expertise at the partner level for Gemini, Vertex AI, and BigQuery, together with straightforward advice regarding the use of AWS when that is more appropriate.
Every engagement runs spec-first, agent-accelerated, human-owned.
A written specification that has been approved by the client prior to any coding taking place — covering the architecture, the edge cases, and the acceptance criteria.
The engineers arrange for the AI agents to carry out the specification in parallel, taking weeks rather than quarters.
The evaluations, tests, and security checks are carried out together with the build, and humans examine every decision that is important.
The system has been deployed to your GCP or AWS, complete with monitoring, production evaluations, and retraining loops.
Have an AI idea? Let’s pressure-test it — free.
A 30-minute call with our engineers, not a salesperson. You'll receive an honest assessment of feasibility, a preliminary architecture, and a clear next step.