What We Deliver
Code RLHF & Annotation
Senior-engineer-written code, code reviews, bug-fix demonstrations, and reasoning verbalizations for training coding models. Multi-language, multi-framework, with structured QA.
Learn more →Agent Trajectory Data
Recorded multi-step task demonstrations: screen, terminal, browser, and reasoning verbalization captured together. Designed for coding-agent training.
Learn more →Model Evaluation & Red-Teaming
Custom eval design, adversarial testing, and gold-set construction. Run by senior engineers and domain specialists with structured calibration.
Learn more →Design & Multimodal Data
Senior designers producing UX evaluation, visual annotation, and multimodal training data - a wedge most data vendors don't staff.
Learn more →
Why labs and
platforms work
with usWhy labs and platforms work with us
Senior engineers, not crowdworkers.
Our annotators are practicing engineers with 6+ years of building production software. Their domain judgment is what your model learns from.
Pod-based delivery.
We don't sell hours; we deliver vetted teams of 5, 15, or 25 with a defined output cadence, quality bar, and single point of accountability.
Quality controls built in.
Every batch passes through gold-set sampling, peer review, and a senior calibrator before delivery. Acceptance rates are contractually backed.
Security and IP, handled.
NDA by default. SOC 2-aligned protocols. Full IP assignment in every engagement. We turn down work that won't clear our security posture.
Built to scale.
Expand from a 5-person pilot pod to a 50-person production run in 60 days, through our vetted contractor network - same QA process, same calibrator.
How We Work
Scope & Sample
60-minute scoping call, then a no-cost sample run on your task spec.
Pilot Pod
4 to 8 weeks, fixed scope, measurable quality target.
Production Pod
Recurring engagement with weekly throughput, quality, and capacity reporting.
Selected Work
Series B coding-agent startup
- -2,400 expert code-review annotations
- -94% gold-set acceptance rate · 6 weeks
- -Pod of 8 senior engineers · Python, TypeScript, Go
Open-source RLHF dataset
- -800 multi-step agent traces, four programming languages
- -Peer-reviewed against published reference standards
- -Screen + terminal + reasoning verbalization captured
Enterprise AI safety team
- -Custom eval harness for an internal coding model
- -12-week build · ongoing maintenance contract
- -Red-teaming + gold-set construction + adversarial testing
Who This Is For
AI Labs
AI labs producing or fine-tuning code-capable and reasoning models.
AI-Data Platforms
Vendors like Mercor, Alignerr, Invisible, Surge, Outlier, Scale, Snorkel, Centific, tapping in sourcing vetted vendor pods.
AI-Native Product Companies
Coding-agent, dev-tool, and autonomous-engineering companies building evaluation infrastructure.
