You've proven the idea works. We do the unglamorous 80% — evaluations, guardrails, monitoring, scaling, and cost control — that turns a pilot into a production system with an owner and an SLA.
Not a rewrite — the evaluation, safety, and operations layer that makes an existing pilot trustworthy at scale.
Automated tests that score output quality on every change, gating releases before they ship.
Input validation, output checks, and degradation paths when the model is unsure.
Every request traced: what was asked, retrieved, generated, and why — in your existing stack.
Alerts when accuracy decays, data shifts, or spend creeps, before users notice.
Canary release, review gates, and runbooks so your team owns it with confidence.
The evaluation gate and the topology — not a slide about “best practices.”
// elhaa Evaluation Gate — CI Pipeline const result = await elhaaEval.run({ suite: 'production-readiness-v3', model: candidateModel, thresholds: { accuracy: 0.95, p95LatencyMs: 400 }, onFail: 'block-deploy' });
A document-summarisation pilot that leadership loved and engineering dreaded: no tests, unknown accuracy, and inference costs that tripled with every new team onboarded.
We built an evaluation suite from 300 real documents, added guardrails and full tracing, introduced model-tiering to cut cost, and shipped through a staged rollout with human review on low-confidence outputs.
*Illustrative example based on a representative engagement.
Assess the existing POC: quality, architecture, risks, and true cost at scale.
Agree evaluation criteria and thresholds with stakeholders before touching code.
Add evals, guardrails, monitoring, and security controls layer by layer.
Staged rollout with review gates, then handover with runbooks and dashboards.
Share of test cases passing the agreed thresholds, per release.
Response times and availability at real traffic, not demo traffic.
Unit economics tracked against the cost model, with alerts on creep.
Bad or low-confidence outputs intercepted before reaching users.
Yes — that's common. We audit what exists, keep what's sound, and rebuild only what blocks production readiness.
We build an evaluation suite from real examples of your task, agree pass thresholds with your stakeholders, and gate every release on those scores.
We tell you early. The audit phase is designed to surface deal-breakers in weeks, not months — sometimes the honest answer is a redesign, and occasionally it's 'don't ship this.'
Alongside, always. Your engineers pair with us through the hardening work — that's how the knowledge transfers, and it's why the system doesn't depend on us after handover.
We're pragmatic and vendor-neutral: open standards where possible (such as OpenTelemetry for tracing) and either your existing observability stack or lightweight open-source tooling. The eval harness is plain code in your repository, not a proprietary platform you're tied to.
A 30-minute call. We'll tell you honestly whether this is the right solution — and what it would take.
A short form, then a 30-minute call. We reply within one working day.
We'll be in touch within one working day.