Arize AI, a leading AI observability and LLM evals company, has announced a strategic partnership with Infogain to help joint customers design, evaluate, and scale AI systems from first prototype to production outcomes.
Infogain’s Ignis — an AI innovation engine that leverages agentic frameworks and a broad partner ecosystem — will integrate Arize’s AI agent engineering and observability capabilities to ensure complex AI applications deliver value and are reliable and measurable in production.
Why It Matters
Enterprises are racing to translate successful GenAI pilots into durable business value. This collaboration pairs Infogain’s AI-first offerings, delivery accelerators, and Ignis Agentic Platform (an LLM and cloud-agnostic agentic platform) with Arize’s end-to-end evaluation, tracing, and monitoring. The results enable organizations to move faster while meeting governance and ROI requirements.
“Our clients want AI that performs in the real world, not just in the lab. By bringing Arize AX into Ignis Agentic Platform, we bring a comprehensive platform with the best of our AI solutions & partnerships to help enterprises during the end-to-end of the agent lifecycle and tie the results to business KPIs,” said Mohit Bhat, Chief Delivery & Innovation Officer at Infogain..
How Arize Complements Ignis
Arize AX helps teams test, evaluate, and monitor complex AI systems — from semi-autonomous multi-agent workflows and copilots to customer-facing applications — with:
Agent Tracing & Replay: Visibility across tools, LLM calls, and decision nodes; quickly reproduce and diagnose issues before they impact users.
Evaluations & Online Evals: Continuous, KPI-aligned checks to catch regressions and improve quality pre- and post-deployment.
Prompt & Model Optimization: Compare prompts and models across datasets; choose the best stack for each use case.
Real-Time Monitors & Alerts: Production observability tied to business outcomes and SLAs.
Coupled with Ignis’ AI-first approach, partner ecosystem, and Ignis Agentic framework, AI-ready delivery teams can accelerate time-to-value while maintaining rigor on security, scale, and governance.
“Infogain‘s Ignis meets enterprises where they are and gets them to value fast. Together, we bring the discipline of evaluation and observability to every stage — from discovery to scaled rollout,” said Noah Smolen, Head of Partnerships at Arize AI.
Arize is independent and framework-agnostic, working across clouds, LLMs, and agent frameworks. With native support for OpenInference — the open standard developed at the company — teams can unify traces and evaluations quickly. Under the hood, Arize’s purpose-built ADB is engineered to scale real-time ingest, search, and analytics at enterprise scale.
