Applied AI studio · est. 2021
Not demos. Not pilots that die in a slide deck. Aether designs, builds and operates production AI — retrieval pipelines, agentic workflows and decision models that ship in weeks and hold up under real traffic.
Every engagement starts from a business constraint — a cost line, a backlog, a churn driver — and works back to the smallest system that can move it.
Grounded search over the documents your team already has — contracts, tickets, specs, transcripts. Hybrid retrieval, re-ranking, citation-first answers, and permission-aware access that mirrors your existing org structure.
Multi-step processes where the model plans, calls tools, and hands off to a human at the exact point where judgement matters. Deterministic where it must be.
Agent designForecasting, scoring and routing models embedded into the tools your operators already use. Explainable outputs, drift monitors, and a retraining schedule.
ModellingThe unglamorous half: model gateways with cost controls, prompt versioning, evaluation harnesses, tracing, red-team suites and on-call runbooks. This is what keeps an AI feature alive in year two.
A freight insurer was processing 3,100 claims a month through a queue of twelve adjusters and a shared inbox. We built a document-intake agent that classifies, extracts and pre-fills the claim record, then routes only genuine edge cases to a human — with every field traceable back to the source page.
Cited spans
“…repair estimate issued by Ashford Commercial, total £18,420 inclusive of VAT…”
“…incident occurred on 14 March 2025 at approximately 07:40…”
You see the eval scores, the cost per request and the failure cases before anything goes live. If the numbers don't support shipping, we say so.
One week. We map the workflow, instrument the current baseline, and agree on a single number that defines success. Deliverable: a scoped brief with a pass/fail threshold.
Two to five weeks. Working software every Friday, evaluated against a held-out set. You get the eval dashboard, not a status update.
Canary rollout, drift monitoring, on-call rotation and a quarterly re-eval. We stay attached until your team owns it — usually 3–6 months.
Twenty minutes, no deck. We'll tell you honestly whether AI is the right lever — and what it would take.
Scoping call · 20 min
Three quick steps. We'll reply within one business day with two or three times that work.