AI21 Labs
Advanced language models and developer platform for reasoning, writing and structured outputs with APIs tooling and enterprise controls for reliable LLM applications.
Pricing Free credits / Pay as you go
Category research
Difficulty Beginner
Type Web App
Status Active
Iris.ai
Enterprise retrieval and evaluation platform for secure agentic AI over private corpora with workflows for ingestion testing and governance.
Pricing By quote
Category research
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in AI21 Labs
llmapireasoningjsonguardrails
Shared
enterprise
Only in Iris.ai
retrievalgovernanceevaluationsecurity
Key Features
AI21 Labs
- • Reasoning models: Focused on multistep tasks that need planning consistency and better intermediate reasoning signals
- • Structured outputs: JSON mode function calling and extraction endpoints keep responses machine friendly
- • Grounding options: Hook models to documents or endpoints to reduce hallucinations and improve trust
- • Eval and tracing: Built in tooling to test variants measure quality and observe latency cost and failures
- • Controls and guardrails: Safety filters rate limits and sensitive content rules for responsible deployment
- • Customization: Fine-tuning and instructions to align outputs with domain style and policy constraints
Iris.ai
- • Governed Ingestion: Connect wikis drives and repos then normalize content with metadata access rules and retention policies for compliance
- • Evaluation Workflows: Run automatic metrics and human rubrics to measure accuracy hallucination rate and coverage before launch
- • Guardrails and Policies: Define prompts filters and safety limits that block sensitive data flow and unsafe responses in production
- • Observability and Drift: Track quality usage and model costs then alert owners when performance moves outside accepted ranges
- • Integrations: Use existing vector stores model providers and identity controls so deployments align with current architecture
- • Red Teaming: Exercise prompts tools and environments to uncover jailbreaks and leakage risks before go live
Use Cases
AI21 Labs
- → Build assistants that return structured JSON for integrations
- → Create summarizers that cite sources and follow templates
- → Automate classification and triage workflows with high precision
- → Generate product descriptions with policy compliant phrasing
- → Design agents that call tools and functions deterministically
- → Run evaluations to compare prompts and models for quality control
Iris.ai
- → Stand up secure knowledge assistants for employees that search approved sources with clear citations
- → Reduce support handle time by routing assistants to articles with evaluation backed accuracy and policy bounds
- → Enable research teams to explore large archives and synthesize findings with traceable sources for compliance
- → Run pilots that compare prompts models and retrieval settings to pick the highest quality approach
- → Prepare audit evidence with documented controls and results to satisfy internal and external requirements
- → Connect identity and permissions so assistants respect document level access across departments
Perfect For
AI21 Labs
ML engineers platform teams data leaders and enterprises that need controllable language models tooling and governance for production features
Iris.ai
enterprise knowledge leaders compliance teams information security and platform engineers who need measurable safe retrieval over private data
Capabilities
AI21 Labs
JSON and Functions Professional
Eval and Tracing Professional
Docs and Knowledge Intermediate
Security and Policy Enterprise
Iris.ai
Governed sources Professional
Quality and safety Professional
Policies and guardrails Intermediate
Drift and reporting Intermediate
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