Language and image generation, agents and workflow automation connected to your business systems.
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We build generative features into products: agents working inside your systems, copilots alongside your team, and language models handling tasks previously done by hand.
We choose the model for the job and connect it to your data and tools.
We automate routine back-office work and workflows spanning multiple systems. Some workflows use AI; others do not.
Process orchestration covers sequencing, routing, retries, failures and human involvement. Agent orchestration coordinates agents and the tools they call.
We build image-generation systems that queue requests and activate additional processing environments to handle peaks in demand. Our proprietary algorithms allocate processing capacity fairly across clients and requests.
Machine learning can help a product rank results, make recommendations or use predictions in a workflow. We focus on the engineering around the model: connecting it to your data, integrating its output into the application and checking results against real use cases.
AI can help with language, unstructured data, ranking, prediction or work that cannot be handled manually at scale. We assess whether its usefulness can be measured and whether a simpler approach would fit better.
We define how to assess the result and test against that throughout the build. Evaluation, deployment, monitoring and guardrails are part of the work, alongside production concerns such as speed and cost.
Daish is our accelerator for AI agents and workflows. It brings together agent deployment and versioning, monitoring, human oversight and an audit trail.
It can be a starting point for agent development when it fits the project.
Talk about DaishTell us about the product feature or workflow you want to build or improve.
