For AI & technology startups

Your eval numbers won't hold up under questioning.
Let's fix that before someone asks.

Statistical validation, evaluation frameworks, and privacy-first LLM/RAG pipelines — defensible metrics for AI-driven products, from a team that's spent 15+ years doing exactly this kind of rigor for federally funded research.

Book a free project consultation Or send us your project details →

Sound familiar?

› Your eval set is small, hand-picked, or not statistically representative.
› You're reporting a single accuracy number with no confidence interval or error analysis.
› You need to compare model versions and know if a change is real or noise.
› An investor, customer, or auditor is asking how you validated your model's performance.
› You're building a RAG or agentic pipeline and need a real measurement framework, not vibes.

What you get

›Evaluation design & experimental design
›Sampling and power analysis for eval sets
›A/B testing for model and prompt changes
›Predictive modeling
›Cleaning & data pipelines
›Privacy-first LLM/RAG evaluation pipelines
›Reproducible analysis code you keep

Where this shows up in our work

The predictive modeling and A/B testing rigor behind AI evaluation is the same discipline we've applied to funded field research — the case study below is the closest direct analog; the methods below it (Bayesian estimation, power analysis, RCT-style comparisons) are what a real eval framework is built on.

Behavioral · Field Experiment

A multimillion-dollar intervention study

7% treatment-effect improvement

Built and managed the data infrastructure for a large intervention study, contributing a 7% treatment-effect improvement through predictive modeling and A/B testing.

$15M+

In funded research we've helped design and analyze

3,000+

Citations across our team's published research

15+ yrs

Applied statistics — from RCTs to psychometrics

50+

Consulting projects across education, health, and industry

Methods we work in

Multilevel models Structural equation modeling Bayesian methods IRT & psychometrics Randomized controlled trials Power analysis R & reproducible code

“

DASS did a fantastic job. They were patient, clear about the coding, and very responsive to my emails. They took the time to understand the overall goal before proceeding with each step. Highly recommend.

Research Client

Statistical coding & analysis

Want a second opinion on your eval numbers?

A free 30-minute consult — bring your eval design or results, and we'll tell you where it holds up and where it doesn't.