We study the workflow, constraints, and existing systems, then build what the task requires: industrial computer vision, engineering applications, internal platforms, or AI integrated into a working product.
We build systems where specialized hardware, domain rules, legacy software, or security requirements make packaged products a poor fit.
LLMs and agents integrated into existing products, data, and tools, with deployment in the cloud, client infrastructure, or isolated environments.
Inspection and automation systems, GPU processing, and desktop applications connected to cameras, sensors, machines, and other specialized hardware.
Internal platforms for workflows that do not fit standard CRM or ERP products, including integrations and modernization of existing systems.
Clinical operations, laboratory data processing, and medical reporting with strict requirements for tenant isolation, privacy, and reliability.
Working build · the client chose not to continue the product.
We also develop systems tools that grew out of our own engineering work. We use them in-house and can deploy them in client infrastructure.
Single binary · outbound tunnels from protected networks · used in-house.
Used in-house · active development · public release planned.
Used in-house · active development · public release planned.
We begin with the people who run the workflow: operators, engineers, and managers. Together we document the current process, constraints, and data flows, then define a system that can be delivered and operated.
Projects range from full-cycle delivery to focused work on existing systems: difficult integrations, AI capabilities, performance work, or legacy modernization.
Engagement formats: fixed-scope delivery, time & materials, embedded engineering team.
Interviews with the team that runs the workflow. We identify manual steps, constraints, and data gaps. The result is an agreed process map and problem definition.
We define the architecture, interfaces, risks, delivery scope, and cost. The result is a practical specification the team can build against.
Iterative delivery with code review, automated tests, CI, and incremental integration. Working software is demonstrated at agreed milestones.
Production rollout in the cloud, client infrastructure, GPU environments, or air-gapped networks. Monitoring, handover, support, and model maintenance where required.
Free first call. NDA up front.
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