Austin · Lisbon · KarachiTrust centredev@binarybreach.tech
BinaryBreach
Data & AI — Service

LLM products that hold up under adversarial users and audit.

Median cost per request−62%Typical latency targetp95 <2sEvals run in CIEvery merge
Abstract neural-network visualisation
Overview

What this actually involves

Getting a language model to do something impressive once is a weekend. Getting it to do the same thing a million times, within budget, without embarrassing you, is the engineering problem we solve.

Every system we ship comes with an evaluation harness, a cost model, a fallback path and a documented failure mode. If a model is the wrong answer to your problem, we will say so before you fund it.

ClaudeOpenAIPrompt engineeringEvalsGuardrails
Capabilities

01

Application architecture

Orchestration, caching, streaming, fallbacks and graceful degradation.

02

Evaluation harnesses

Task-specific test sets with regression gates on every merge.

03

Guardrails & safety

Input filtering, output validation, refusal handling, human escalation.

04

Cost engineering

Model routing, prompt caching and batching — usually a 40–70% reduction.

Deliverables

What lands in your repository

Every engagement ends with artefacts your team owns — not a slide deck describing artefacts your team could have owned.

  • Production LLM application
  • Evaluation suite with baseline scores
  • Cost-per-request dashboard
  • Model and prompt change-management process
−62%Median cost per request
p95 <2sTypical latency target
Every mergeEvals run in CI
Proof

Sectors

Data & AI

A short conversation with an engineer, not a sales qualification call. If we're the wrong people for it, we'll say so and point you somewhere better.