Production agents with human-in-the-loop controls and an evaluation suite — not demos.
We design and build task-specific agents, retrieval systems, copilots, and the private platforms they run on — engineered for production from the first sprint.
Every Build engagement starts with the question that kills most pilots: what does production look like? Evaluation, guardrails, observability, and cost controls are designed in week one, not bolted on at the end.
We are platform-neutral. Model choice is an engineering decision per task, with tiered routing so the expensive model runs only where it earns its cost.
Agentic Workflow Automation
We design and build agents for workflows where volume, rules, and exceptions make humans the bottleneck. Multi-agent orchestration where the task demands it, single well-scoped agents where it does not. Every agent ships with human-in-the-loop controls, decision boundaries, and an evaluation suite that runs before and after every release.
Production agents with orchestration lay...Human-in-the-loop controls and escalatio...Evaluation suite and golden datasetsRunbooks and an operating model for the...
Retrieval systems that respect permissions, cite sources, stay fresh, and are measured for accuracy. We build the ingestion pipelines, hybrid search, and evaluation harness that turn "a chatbot over our documents" into a system your legal and security teams will sign off.
Ingestion and enrichment pipelinesHybrid (vector + keyword) search with pe...Citation and freshness guaranteesEvaluation harness with accuracy and fai...
Working applications built around your domain and your users: copilots that draft, review, summarise, and recommend inside the tools people already use. We run structured model selection, prompt-engineering and fine-tuning programmes, and deliver benchmark evidence alongside the application.
Working application, integrated with you...Model selection report with cost and qua...Evaluation benchmarks and regression sui...
Not every decision needs a language model. For forecasting, anomaly detection, optimisation, and pricing, well-engineered classical ML is cheaper, faster, and more explainable. We build the models, the MLOps pipeline, and the decision dashboards — and we tell you when an LLM is the wrong tool.
Production models with monitoringMLOps pipeline (training, validation, de...Decision dashboards and playbooks
A platform blueprint and build for organisations that need their data, their cloud, and their choice of model. We deploy open-weight and commercial models behind a single gateway with routing by cost and quality, observability per tenant and per use case, and an inference cost model your CFO can read.
Platform blueprint (reference architectu...Model gateway with tiered routing and po...Inference cost model and FinOps dashboar...
