Training Data for Agentic AI
Get the training data for agentic AI systems you need – purpose-built, human-in-the-loop, and enterprise-ready.
LXT delivers training data and evaluation workflows designed to support the complex behaviors and autonomy of agentic AI systems. From task planning and memory handling to multi-step reasoning and real-world interaction, we provide structured data, secure processes, and diverse human feedback to power intelligent agents
Our training data for Agentic AI by modality
Text
-
Multi-step prompt-response generation for agent planning
-
Synthetic and human-authored dialogue datasets
-
Instruction-following and goal completion simulation
-
Scenario-based reasoning datasets
-
Temporal and contextual memory challenges
Audio
-
Task-oriented speech datasets with interruptions and redirections
-
Conversational audio for multi-intent handling
-
Agent hand-off and escalation detection
-
Prosody and tone matching for emotional responsiveness
Image
-
Visual inputs for environment recognition and object permanence
-
Sequential image captioning with memory testing
-
Image-based task planning (e.g., cooking, assembling, navigating)
-
Visual ambiguity resolution for multi-modal agents
Video
-
Instructional and procedural video data
-
Long-form interaction sequences with annotation
-
Agent perspective simulations and trajectory tracking
-
Multistep decision-making video datasets
LLMs / Planning Agents
-
Memory retention and context extension data pipelines
-
Chain-of-thought and tool-use annotation
-
Multi-agent coordination and planning simulation data
-
Reward modeling and preference scoring
Why leading AI teams choose LXT for Agentic AI
Human Intelligence for Complex AI
Expert-driven instruction generation, safety testing, and agent behavior validation.
Multimodal & Multi-step Capable
Support for complex task chains, multi-input modalities, and real-world simulation.
Custom-Tailored for Autonomy
Data solutions crafted for decision-making agents across domains.
Evaluation at the Edge
Agent safety, failover logic, reward modeling, and goal alignment.
Global Workforce at Scale
8M+ contributors and 250K+ experts across 1,000+ locales.
Guaranteed Quality & Control
Human-in-the-loop workflows with domain expertise and multi-tier QA.
Where Agentic AI needs purpose-built training data
Agentic AI differs from basic LLMs by exhibiting autonomy, goal pursuit, and memory. These capabilities require training data beyond standard prompt-response or static labeling. Below are examples of agentic architectures and the training data needs they present.
Conversational Task Agents
Agents that plan, revise, and execute complex goals via language.
What You Need:
Multi-turn dialogues, goal-state tracking, ambiguous input handling
LXT Delivers:
Tool-Using Agents
LLMs with API integration, calculator use, or external tool calls.
What You Need:
Annotated tool-use traces, multi-step command chains, success scoring
LXT Delivers:
Environment-Aware Agents
Agents operating in physical or simulated environments.
What You Need:
Spatial reasoning, action-reaction sequences, environmental mapping
LXT Delivers:
Multi-Agent Systems
Agent groups that plan, coordinate, and execute together.
What You Need:
Dialogue handoffs, coordination tasks, role-based data
LXT Delivers:
Human-Cooperative Agents
Agents that work with or around people.
What You Need:
Feedback integration, emotional response modeling, interruption logic
LXT Delivers:
Reflective Agents
Agents that evaluate their own performance, learn from feedback, and adapt strategies over time.
What You Need:
Feedback loops, self-assessment tasks, performance comparison datasets
LXT Delivers:
How we deliver training data for Agentic AI
From scoped pilots to scaled execution – customized data and evaluation services to support your Agentic AI.
Step-by-Step Process
1. Define project scope & data requirements
We collaborate with your team to understand the agent use case, task structure, required data types, and success criteria.
2. Pilot with gold data & QA benchmarks
A controlled pilot phase helps validate task design, annotation quality, and review standards tailored to your agent’s behavior.
3. Guideline refinement & training
Based on pilot results, we refine task guidelines, clarify edge cases, and align contributors to ensure consistent quality at scale.
4. Scaled data delivery with built-in QA
Your Agentic AI training data is delivered at scale with built-in multi-pass QA, spot checks, and analytics.
5. Human-in-the-loop evaluation
From RLHF to output evaluation and bias detection – our trained workforce supports iterative testing and optimization.
6. Secure delivery & feedback loop
Final training data or evaluation outputs are securely transferred. Feedback from the project informs future data runs or quality improvements.
Quality assurance in Agentic AI training data projects
- Layered QA workflows
Each data item is reviewed through multi-step processes involving trained annotators, reviewers, and random spot checks. - Gold standards and live benchmarking
Gold tasks are embedded in pilot and production phases to monitor quality consistency, annotator reliability, and concept drift. - Expert-driven calibration
Subject matter experts refine annotation guidelines and directly contribute to complex or specialized data tasks. - Data analytics dashboards
Custom dashboards provide transparency into annotation accuracy, task throughput, and performance trends across the project lifecycle.
Enterprise-grade security
& compliance
-
Secure infrastructure
ISO 27001 certified delivery centers in Canada, Egypt, India, Romania
(five total certified sites) -
Data privacy by design
GDPR, HIPAA compliance.
PII redaction, secure file handling, VPN/VPC options. -
NDAs and legal coverage
We support your preferred legal framework or provide standard NDAs.
Real-World use cases for training data for Agentic AI
Purpose-built data solutions to support complex agentic systems – across domains and applications.
Legal AI Agents
Equip legal agents to draft, summarize, and interpret contracts or compliance documents.
→ Domain-specific document generation, structured data extraction, red teaming for legal risk
Healthcare & MedTech Agents
Support agents assisting in diagnostics, patient guidance, or clinical triage.
→ Expert-validated training prompts, multilingual QA, bias detection in sensitive contexts
Customer Support Automation
Build agents capable of handling dynamic customer interactions across channels.
→ Scenario-driven dialogue data, sentiment-tagged chat histories, escalation detection
Enterprise Knowledge Agents
Train AI agents to interact with internal knowledge systems and documents.
→ Semantic chunking, retrieval-augmented input sets, instruction-based evaluation
Autonomous Decision-Making Agents
Enable agents to plan, reason, and act in adaptive environments.
→ Multimodal task simulations, feedback loop annotation, evaluation of goal alignment
Retail & Conversational Commerce Agents
Deploy intelligent shopping assistants that personalize recommendations and handle transactions.
→ Buyer persona-based prompt generation, tone/style variation, UX feedback tagging
FAQs on our training data for Agentic AI services
We support training data and evaluation services for legal agents, enterprise knowledge agents, customer service bots, autonomous planning agents, and more – across modalities and industries.
Pricing depends on the data type, project scale, language coverage, quality requirements, and timeline. After a short scoping call, we provide a tailored quote.
Yes. We design data pipelines around your agent’s logic, decision context, and goals – from prompt engineering and scenario design to structured data annotation.
Absolutely. Our services include human-in-the-loop reviews, RLHF, red teaming, and behavioral scoring – ensuring your agents meet performance and safety requirements.
Most projects start with a scoped pilot within 1–2 weeks. Full-scale production follows after guideline refinement and contributor calibration.
We apply gold task benchmarking, expert review, and live QA monitoring to ensure data quality, consistency, and alignment with agent behavior expectations.
Yes. Our infrastructure meets ISO 27001 standards and supports GDPR/HIPAA compliance, PII redaction, and secure delivery frameworks including VPC/VPN.
Ready to Empower Your Agentic AI System?
Let’s scope your project and get you the training data for Agentic AI you need – high-quality, human-validated, and built for intelligent decision-making.