APPLIED AI

AI Agents

Purpose-Built AI Agents for Productivity, Precision, and Performance

Bespoke AI Agents for Enterprise Workflow Automation

Custom AI Agents

OptimalAI, designs custom AI agents to meet the operational complexity of modern enterprise environments across finance, healthcare, logistics, technology and more. These agents are not generic bots - they are modular, intelligent systems capable of perceiving, reasoning, acting, and improving over time. Built on rigorous scientific principles, our agents optimize workflows, reduce costs, and enhance human productivity. OptimalAI agents are engineered to:

  • Automate data-heavy, repetitive enterprise tasks
  • Coordinate cross-functional processes at speed
  • Deliver predictive insights and self-improving feedback loops

Workflow Automation

  • Supply Chains: Forecasting, inventory control, route optimization
  • Healthcare: Clinical triage, diagnostics support, patient workflow management
  • Finance: Risk detection, AML compliance, KYC onboarding
  • Software Development: Intelligent copilots combining productivity, reliability, and regulatory assurance in a single layer. Identify and eliminate code vulnerabilities; assist with knowledge transfer through intelligent annotation; automate compliance checks and maintain audit trails
  • Code Review and Compliance Automation: automate code quality checks, identifying security vulnerabilities, and enforcing compliance with internal and external policies

The Intelligence Behind Our Agents

Our AI agents are built with composable architectures, tailored by domain. Components include:

  • Deep Learning for pattern recognition in unstructured data
  • Bayesian Reasoning for uncertainty-aware decision making
  • Reinforcement Learning for real-time adaptation in dynamic settings
  • Graph Reasoning for structured inference across complex systems
  • NLP & LLMs for intelligent human-language interaction and documentation synthesis


Where required, we implement traceable decision logs, explainability overlays, and compliance guardrails to ensure interpretability and governance.

AI-for-AI Simulation

We train agents in AI-for-AI simulation environments—multi-agent systems where they must negotiate, collaborate, or adapt to other intelligent actors. This approach improves agents’ ability to:

  • Operate in non-stationary, multi-system environments
  • Handle emergent behavior, exception management, and negotiation
  • Adapt intelligently to the evolving dynamics of real-world enterprise systems

Why Bespoke Agents Matters

  • Tailored: Agent intelligence aligns with your domain, data, and compliance needs
  • Secure: Built with traceability, role-based access, and audit controls
  • Transparent: Equipped with explainability features and policy alignment
  • Scalable: Trained and deployed in dynamic, evolving environments with live data

Our Connection to Google's Gemini

OptimalAI’s scientists have co-authored multiple foundational AI research papers with Google DeepMind, contributing directly to global breakthroughs that have shaped the field of intelligent agents. This research - spanning multi-agent reinforcement learning, grounded reasoning, and scalable neural architectures - has directly influenced the planning and reasoning algorithms behind Google’s Gemini model. This deep research lineage gives OptimalAI unique insight into how Gemini works at its core, and more importantly, how to adapt and operationalize it for enterprise-grade AI agent deployments.

Gemini provides powerful multimodal cognition. At OptimalAI, we embed it within structured, governed agent architectures tailored to complex enterprise needs. Our Gemini-powered agents are designed to:

  • Automate code analysis and enforce compliance
  • Coordinate decision-making across distributed systems
  • Serve as intelligent copilots in regulated, mission-critical environments


Gemini provides the cognition. We provide the structure, safety, and specialization that enterprises require.