Our R&D team works at the frontier of agent architecture, multi-model orchestration, and multilingual NLP. Here's what we're exploring.
How to dynamically route between AI providers based on task complexity, latency, and reliability, while maintaining conversational context across switches. We're building systems that choose the right model for each subtask in real time, optimizing for cost, speed, and accuracy simultaneously.
Building memory architectures that let agents accumulate knowledge over months of interaction without degrading retrieval quality. The challenge is not just storing information. It's knowing what to remember, when to surface it, and how to forget gracefully as context evolves.
Going beyond translation: training agents to adapt tone, formality, and cultural conventions across six languages natively. A French-speaking agent for a Parisian lawyer should feel fundamentally different from an Arabic-speaking agent for a Riyadh-based consultant, in vocabulary, rhythm, and social norms.
How to specialize a general-purpose LLM into a domain expert (debt recovery, sales, legal) without losing conversational fluency. We're developing techniques that inject deep domain knowledge while preserving the natural, adaptive quality that makes agents useful in unpredictable real-world conversations.
Executive assistant agent handling calendar, email, tasks, scheduling, and daily operations for business leaders.
ShippedSpecialized agent for invoice follow-up, payment reminders, and debtor communication with multilingual, tone-adaptive outreach.
In developmentAI-powered prospecting, lead qualification, and follow-up sequences tailored to each business's sales process and voice.
PlannedContract review, regulatory monitoring, and compliance checklists for small businesses navigating complex legal environments.
ExploringAn extensible platform enabling third-party developers and businesses to create, customize, and deploy their own specialized agents on the Klaio infrastructure.
VisionWe believe transparency accelerates progress. As we solve hard problems in agent architecture, memory systems, and multi-model orchestration, we share what we learn through deep-dive articles, technical insights, and real-world case studies from our own production systems.
Read our insightsWhether you want to follow our work or contribute to it directly, there's a place for you in the Klaio ecosystem.