Founded in 2018, we focus exclusively on enabling Enterprise AI @ scale. In a very short span of time, we have become one of the fastest growing companies in America.
We focus on questions that matter to businesses with big ambitions, empowering them to elevate outcomes across their value chain.
Mid-level Senior
Mumbai
Mid-level
Remote
Move from experimental LLM pilots to reliable, governed Autonomous AI systems
AiroCore is Airo’s Agentic AI core. It is a production-grade control layer for autonomous Agentic AI systems. It enables enterprises to deploy and operate reliable, governed AI agents once they move into live environments.
Designed for production environments, AiroCore brings together orchestration, governance, observability, and enterprise integration into a single deployable core so AI agents can operate reliably, securely, and under continuous oversight.
This is the layer enterprises rely on when pilots are no longer enough, and autonomy must work in the real world.
Define how autonomous agents should operate in production. We establish clear boundaries for decision-making, escalation, and accountability so autonomy scales without loss of control.
Enable coordinated reasoning and execution across multiple agents and systems. AiroCore manages dependencies, sequencing, and safeguards across ERP, CRM, data platforms, and APIs to prevent conflicting actions.
Connect agents cleanly with existing enterprise applications and workflows using standardized integration patterns. This avoids fragile point-to-point builds and supports long-term scalability
Embed policy enforcement, auditability, access controls, and monitoring directly into runtime behavior. Governance is enforced during execution, not added after deployment
A repeatable, execution-first operating model for deploying production-ready AI agents in weeks, not months. Rapid AI Factory combines pre-built components, standardized pipelines, and outcome-driven delivery to accelerate agent rollout while enforcing governance, observability, and enterprise integration from day one. All AiroCore deployments are executed through Rapid AI Factory, ensuring autonomous systems move into production with control, consistency, and measurable outcomes.
Reusable AI/ML components, agent templates, and RAG frameworks that accelerate development across use cases such as copilots, intelligent automation, decision agents, and autonomous workflows.
Automated pipelines for data ingestion, preparation, annotation, and knowledge indexing—enabling high-quality, continuously updated inputs for agentic AI systems at scale. Enterprise-grade deployment with built-in security, governance, monitoring, and feedback loops. Supports scalable rollout across cloud environments, business units, and geographies.
Enterprise-grade deployment with built-in security, governance, monitoring, and feedback loops. Supports scalable rollout across cloud environments, business units, and geographies
Outcome-focused engagement model where clients pay for results—such as resolutions, insights, or predictions—rather than licenses or tools, reducing risk and accelerating adoption.
Deployed a "Virtual Scientist" agent that goes beyond basic chatbots by autonomously reasoning through clinical trials, medical literature, and regulatory data to provide precise, grounded answers to complex scientific inquiries.
Leveraging Agentic AI, this system independently monitors stock levels across thousands of SKUs and automatically triggers reordering or stock transfers based on predictive demand signals like local weather, events, and historical trends.
This "Cognitive Control Center" orchestrates multiple specialized agents—HR, Finance, and Logistics—to autonomously manage the end-to-end supply chain, from resolving shipping delays to re-negotiating supplier terms based on real-time market volatility.
faster time-to-value using Rapid AI Factory
faster time-to-value using Rapid AI Factory from idea to production-ready AI agents productivity improvement across AI-enabled workflows
productivity improvement across AI-enabled workflows
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