Innorca engineers agentic software that runs where you choose, and sources the GPU accelerator cards, compute systems and optical interconnects that AI workloads depend on.
Agent systems that plan, call tools, keep the right context and finish real work, with permissions, checkpoints and recovery designed in. Built on the models and infrastructure you choose.
Sourcing for the physical layer of AI: accelerators, compute systems and the high-speed optics that connect them, matched to your workload with condition and terms stated per request.
Software decides what the hardware has to do. Hardware sets the limits of what the software can do. We work on both, so neither is planned in isolation.
An agent is only as dependable as the layers beneath it. Each layer does one job; we plan them together, so a choice at one is checked against the others.
Agent systems can run through the model providers and regions you select, in a private cloud, or on hardware you own. We design for the locality your data and policies call for, and document where each component runs.
Hosted models limited to the providers and regions you approve, with each request routed by data sensitivity and fallbacks kept inside the same boundary.
Inference, agent runtime, memory and logs inside your own cloud account and network boundary.
Open-weight models served on hardware you own, including isolated environments with restricted network access.
Engagements are scoped around an outcome, not a catalog. Start with the software, the hardware, or the plan that connects them.
Pick one workflow that costs your team real time. We build an agent that runs it end to end — planning, tool calls, checks, and handoff to a person when judgment is needed — measured against your own examples.
A supervised agent, with source in your repository.
Use capable models while keeping track of where your data goes. We set up sovereign API routing, private cloud inference or self-hosted open-weight models, and document where prompts, context, memory and logs are processed.
A written record of where models, data and logs run.
Match the model to the machine before you buy or build. We weigh model size, precision, quantization and serving setup against the accelerators, memory and fabric you have or plan to source.
One plan that the software and hardware both fit.
Supply for a build, from accelerator cards and GPU servers to the transceivers and cables that link them. Each option is checked against your host platform, switch ports and facility, with condition, origin and lead time stated.
Comparable options, with terms confirmed in writing.
One inbox for software and hardware. A few lines on the workflow, the workload or the specification is enough to start, and we reply by email.
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