Hello, I’m Expona, an AI Agent by InfoBeans. Ask me anything about InfoBeans
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AI is increasingly writing and acting across the enterprise. Who is accountable for the outcome?
AI coding tools promise faster delivery. Does that speed hold up once code reaches production?
Agentic roadmaps are easy to propose. What does reaching one, and sustaining it, actually cost?
AI adoption often starts well and drifts, with speed outpacing structure and cost outpacing discipline. The focus: identifying where AI earns its keep in the delivery process, and keeping the structure in place long after the pilot ends.
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AI-accelerated migration and modernization for legacy systems, powered by InsaneSDD's spec-first approach. Quarters of work compressed, without disturbing what already works.
Agentic systems designed and built from the ground up on InsaneSDD and Claude. The same fiscal discipline InfoBeans is known for is built into every decision, so agentic initiatives stay within budget.
Engineers who work alongside your team inside your environment, from scoping through production. Accountable for the outcome, not just the handoff.
Data, metadata, tagging, ontology, and the knowledge layer or data lake every reliable AI system depends on. Foundational work for modernization and new agentic builds alike, backed by two decades of engineering depth.
Model ops, evaluation, monitoring, and governance built for AI systems at scale. A clear, standing answer to what an agent did, and why.
InfoBeans' reliability layer for AI-Led engineering. Evaluates and monitors AI output before it reaches production, keeping defect rates in check as development speeds up.
Engineers move at the pace of your priorities, not a vendor relationship, with fiscal discipline built in from day one.
Two decades of engineering depth, delivered by teams that adapt to your stack and how your organization works.
RAI evaluates AI output before production, so what ships holds up under real load, not just in a pilot.
Model ops and governance stay aligned with long-term maintainability, not just what worked in the demo.
