applied intelligence.
We build AI systems that earn their place in production — with guardrails, evals, and a clear line from cost per inference to revenue per customer.
overview
Most enterprise AI pilots never become products because the team that built the model is not the team that runs it. Arkavix closes that gap. We design applied intelligence systems with the same rigour we bring to distributed systems: versioned data, reproducible pipelines, observable inference, and a feedback loop that pays for itself. Whether you are embedding a retrieval layer behind an internal tool or launching a customer-facing copilot, our engagements leave you with a platform your own team can extend without us.
what we deliver
every engagement leaves behind artefacts your team can extend without us. the list below is typical — not a menu.
- check_small use-case triage: which problems actually deserve an ML solution
- check_small evaluation harnesses that run on every pull request
- check_small RAG or fine-tuning decisions with cost and latency budgets
- check_small prompt-engineering playbooks version-controlled next to the code
- check_small guardrails: PII redaction, output classification, refusal policies
- check_small observability: token cost, latency p95/p99, answer-quality drift
- check_small model gateway so you can swap providers without rewriting code
how we engage
discovery
we run a two-week use-case audit, rank candidates by feasibility × leverage, and kill the ones that don't survive contact with real data.
architecture
we design the data + eval + serving stack, including the one thing most teams skip: an honest cost model.
build
ship one use case end-to-end in six to eight weeks, including guardrails, evals, and internal acceptance tests.
operate
we tune prompts, models, and retrieval against live traffic until the eval scores move — then hand the playbook to your team.
clients, in their words
"we'd burned eighteen months on AI pilots. arkavix shipped one in eight weeks and none of us miss the others."
"their eval harness caught a regression our customers would've caught for us. that alone paid for the engagement."
ready to engage?
we respond to every inquiry within one business day. tell us the shape of the problem; we'll tell you whether we're the right fit.
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