Ship AI agents with the same rigor as production software.
We build the eval harnesses, golden datasets, and red-team suites that turn opaque LLM behavior into measurable, regression-proof quality.
Built for enterprise outcomes — not just demos.
Every engagement comes with the governance, observability, and senior delivery muscle that production AI actually requires.
Evals as a first-class artifact
Treat agent quality the way you treat unit tests — measurable, versioned, owned.
Adversarial by design
Red-team suites for jailbreaks, prompt injection, PII leakage, and toxicity.
CI-gated releases
No prompt, model, or tool change ships without passing the quality bar.
What we deliver, end to end.
Eval Harness Design
Task-grounded benchmarks, rubric scoring, and LLM-as-judge pipelines.
Golden Datasets
Curated, labeled datasets that capture real user intent and edge cases.
Red-Teaming
Adversarial prompts, jailbreak suites, and prompt-injection probes.
Regression CI
Automated eval runs on every prompt, model, or tool change.
Safety & Bias Testing
Toxicity, PII leakage, hallucination rate, and demographic parity.
Human-in-the-Loop QA
Calibrated annotators with inter-rater agreement tracking.
What you walk away with.
Concrete, owned-by-you artifacts — not slideware.
Eval harness in your CI
Reproducible suites that block bad releases automatically.
Golden dataset
Labeled, versioned ground-truth aligned to real user intent.
Red-team report
Findings, severity, and mitigations across jailbreak and injection vectors.
Safety scorecard
Hallucination, toxicity, PII, and bias baselines with monitoring thresholds.
Annotation playbook
Rubrics, training, and IRR tracking for your reviewers.
Quality dashboards
Trends over time, per model, per feature — exec-ready.
Opinionated where it matters. Composable everywhere else.
# devappsit.eval-stack.yaml harness: Promptfoo · DeepEval · Ragas · LangSmith red-team: Garak · PyRIT · custom jailbreak suites datasets: Argilla · Label Studio · Snorkel ci: GitHub Actions · Argo Workflows · eval-gated deploys scoring: LLM-as-judge · rubric scoring · human review metrics: faithfulness · answer relevance · toxicity · PII leakage
Flexible commercial models for every stage.
From early discovery to long-running managed service — pick the model that matches your procurement and risk appetite.
Time & Materials
Senior engineers billed by day or sprint. Maximum flexibility.
Fixed-Scope Delivery
Defined outcome, fixed price, fixed timeline.
Outcome-Based Pod
Dedicated pod tied to measurable business outcomes.
Retainer / Managed
Ongoing capacity for run-the-business AI work.
Ready to put a quality bar on your AI?
Get a focused eval review of your current agent — we'll show you where it's leaking quality and how to gate it.