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Data Science + Coding
Our team brings industry and academic expertise and experiences in these disciplines applied across our various product offerings. With this + our annotators, we are trained and equipped to develop robust data solutions.
Areas of Experience
Our team and annotator expertise spans Data Science and Computer Science disciplines , and we can evaluate across concepts, usage, and actions.
Data Science Concepts
Responses requiring numerical calculations, e.g. EBITDA, PE ratio, CAGR
AI/ML Concepts
Evaluate for areas from model design to real-world deployment and more:
Coding
Support across a variety of coding languages and frameworks such as:
Research
Our team brings in research experience from premier frontier labs and research institutions
Engineering
We have engineering & data science working experience across Fortune 100 companies.
How We Apply Our Expertise
We don’t just understand AI — we put it into action. Our hands-on approach transforms expertise into measurable results for your business. In practice, that means:
What We Provide
Accuracy
Providing accurate, correct information via recall, referencing the proper documentation when needed
Relevance
Ensuring that the output is contextually relevant to the question asked by the customer
Deep Domain Expertise
Team provides expertise in the Data Science and Computer Science disciplines with academic and real-world experience at cutting-edge institutions.
Multi-step
Evaluating appropriate planning, delegation, and execution behaviors required for task completion.
Scale
Ensuring that your code generation works across any language and framework
Interactivity
Providing interactive testing RL environments for dynamic evaluation
Standard Product
Current platform offerings, such as evaluators, experiments, logs, and traces to get you up and running immediately
Custom Product
Collaborate on the creation of industry-grade guardrails (LLM-as-a Judge), benchmarks, or RL environments to evaluate with more granularity
