Ship AI with Confidence. Architect Your Evaluation Framework.
Move past the demo phase. We design the automated evaluation pipelines and human-in-the-loop workflows engineering teams need to build reliable, production-ready AI.
For teams shipping LLM products who need eval infrastructure, not outsourced labeling
Stop Guessing. Start Measuring.
Most AI teams struggle with prompt drift, inconsistent training data, and a lack of clear metrics. We don't provide outsourced labeling; we provide the strategic architecture that allows your internal team to ship safely and at scale.
Engineering-First Advisory
15+ Years of Expertise
Built human-in-the-loop systems for Yahoo (Search, Ads, Shopping) and scaled global data operations from the ground up.
Code, Not Just Slides
We deliver execution-ready blueprints, automated testing scripts, and operational runbooks.
Privacy First
We perform technical audits locally or within your private cloud using open-source tools like Ollama, ensuring your data never leaves your environment.
Built by someone who has run this at scale.
I'm Karthik Vasudevan. I spent 15 years at Yahoo leading content analysis and knowledge engineering, running a global team of 50+ analysts supporting Search, Ads, Mail, and Shopping. Then I founded Traindata, building annotation and QA operations from scratch for enterprise AI clients, including red teaming programs, RLHF pipelines, and gold set evaluation systems.
I've sat on both sides of the vendor table. That's why AlphaEvals sells architecture, not labeling hours.
Eval Readiness Audit. Two weeks from kickoff. Fixed fee.
A full review of your current testing approach, prompt management, and data quality process. We run your model outputs through an open source eval stack, locally or in your cloud, and deliver a scored gap report with a prioritized fix list. The audit fee credits toward any full engagement.
Strategic Advisory Packages
Services Catalog // v2026.1The Evals Architecture Blueprint
Stop manual testing. We architect automated evaluation pipelines using frameworks like Promptfoo, DeepEval, or Ragas.
Human-in-the-Loop Workflow Design
We design the high-fidelity annotation and RLHF frameworks required for gold-standard benchmarks.
LLM Red-Teaming & Safety Audit
Identify vulnerabilities, hallucinations, and safety gaps before public deployment.
Our methodology relies on a 100% Open-Source Tech Stack, ensuring you maintain full ownership of your evaluation infrastructure without vendor lock-in.
Audit Tools
- Ragas
- DeepEval
- Promptfoo
Local Execution
- Ollama (Secure Local)
- Private Cloud Testing
Quality Metrics
- Cohen's Kappa
- Krippendorff's Alpha
Ready to scale your AI evaluation?
Don't let bad data or 'vibe-based' testing stall your roadmap. Let's build a framework that catches failures before your users do.
Led by Karthik Vasudevan | Founder & Principal Consultant