RL Environments & Reward Modeling
Innodata builds custom RL environments for frontier AI agents, with hard multi-app computer-use tasks, deterministic step-level scoring, and reward signals designed to improve reasoning, recovery, and tool use.
Let's Innovate Together
Our Approach
Deterministic Evaluation Is the Difference
Many AI agent evaluation systems depend on LLM-as-judge methods, which can introduce inconsistency, drift, cost, and reward-hacking risk.
Innodata builds RL environments from known ground truth, so agent actions can be scored programmatically and step by step, not guessed after the fact.
This creates more reliable reward signals, clearer failure diagnosis, and scalable evaluation for complex agent training.
Why It Matters:
- More consistent scoring
- Stronger step-level rewards
- Lower dependence on judge models
- Clearer insight into agent failures
- Better alignment between training signal and performance
Why Innodata
Why Teams Choose Innodata
RL environments require ground truth, domain expertise, evaluation engineering, reward design, and the ability to scale. Innodata brings it together.
AI Data Expertise
High-quality data creation, enrichment, and validation.
Domain Experts
Specialists for task design, review, and workflow context.
Evaluation Engineering
Deterministic scoring, rubrics, and measurable training signals.
Ground Truth Development
Known answers built into the environment from the start.
Reward Function Design
Step-level rewards for reasoning, recovery, and tool use.
Production-Scale Data Operations
Task creation, QA, and delivery at scale.
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.