Companies today have tremendous impetus to maximize their AI capabilities and build custom pipelines, which can be accomplished through methods like RL. Yet per the Harvard Business Review, just 2% of companies are getting significant value from agentic AI, despite most global companies adopting AI across their workforce. Those who successfully adopt agentic AI report achieving 22% greater value from AI than non-adopters; we posit this is because personalized agents are among the highest ROI enterprise use cases for AI (HBR).

The gap between AI-first and AI-second companies forms because building specialized, agentic systems requires specialized knowledge– most importantly, up-to-date research depth, given the rate of change in modern AI research. Out-of-the-box solutions are not trained on company-specific workflows or data, and therefore cannot provide personalized intelligence; this intelligence is necessary to turn AI from an assistant to a powerful agentic workforce capable of automating internal and external workflows.

We develop AI-driven business solutions across two primary paths: (1) self-improving agents, customized for your team (2) reinforcement learning to provide your company its own proprietary LLM, automate repeated workflows, or optimize policies to drive business growth.

Via builds personalized AI agents that plug into your business' existing systems, including your CRM, databases, communications, financial systems, and internal operations. These agents span a range of core functions: data agents that analyze and reconcile information across systems, revenue agents that identify opportunities and manage follow-ups, operations agents that coordinate internal workflows and keep processes moving, and communication agents that generate context-aware outputs across email, reporting, and internal tools.

We design and deploy these agents specifically for your business, based on your workflows, data, and objectives. In practice, this means fewer missed opportunities, more consistent execution, and systems that convert existing demand into new revenue.

The gap is no longer access to data or insight, but the ability to act on it consistently and in real time.