Generative AI applications, intelligent agents, copilots and custom LLM workflows — engineered for accuracy, security, governance and operating cost, and monitored after launch.
Scoping where AI actually creates measurable value in your workflows.
Wiring AI into your existing tools, data and processes.
Applications built on top of LLMs for real business tasks.
Multi-step agents that take action, not just generate text.
In-product assistants that help your users work faster.
Fine-tuning, prompting and RAG pipelines built for accuracy.
Predictive models and classical ML where it outperforms LLMs.
Identify the workflow, data and success metric.
A working pilot against real data within weeks.
Accuracy testing, guardrails and cost tuning.
Phased rollout with human-in-the-loop where needed.
Ongoing accuracy, cost and drift monitoring.
An LLM copilot that drafts and routes support replies across 40k monthly tickets.
Tell us the outcome you need and we'll map the right mix of services and a realistic timeline — free.
Book a scoping call →Yes — most engagements use retrieval-augmented generation (RAG) over your own data rather than fine-tuning, which is faster and keeps data under your control.
Through grounding responses in retrieved source data, evaluation test sets, and human review workflows for high-stakes outputs.
Data handling, model choice (including on-prem/private options) and access controls are scoped explicitly before any pilot starts.