[ ABOUT ]
Lekta AI:Precision Voice AI
Natural conversation and governance are not competing goals in our architecture. We designed Lekta so voice agents can reason about context and communicate naturally, while their capabilities and actions remain structurally constrained by the policies of the organization.
A decade of experience
Voice AI proven in the world’s most highly regulated industries.
Scalability you can trust
Handling over 60 millions of conversations every year.
Empowering 30+ clients
Including leading European banks and telecommunications companies.
[ OUR APPROACH ]
At Lekta, we figured it's time to start over.
Technology
Most LLM-first solutions suffer from governance deficit. LLMs excel at natural conversation and understanding context, but their probabilistic, black-box nature makes them poor decision-makers. Our technology deploys different models where they perform best. AI models communicate with the customer, understand what they're asking and phrase the responses while a rules engine decides which policies apply. This results in semantic invariance: no matter how a request is phrased, the outcome is the same every time. Every decision traces back to a rule and every fact in a reply to a source, making the entire system explainable and fully auditable.
Change management
Our platform is built to speed up deployment and eliminate IT bottlenecks by empowering business operators to manage the system. An AI copilot helps you design, test, and update customer journeys in plain language, and every change is tested against past conversations before it goes live. When your policies change, you update them in the platform, without months of gathering requirements, coordinating with IT, and waiting in the engineering queue.
Delivery
We meet customers where they already are: inside your app, on inbound calls, and across the channels they use every day. Lekta pioneers the in-app approach in which the system already knows who the customer is and why they're reaching out. Every response is grounded in that context, with no re-authenticating and no repeating the problem to different agents. We think of it like having a personal assistant inside your mobile app, one that knows you and why you're getting in touch. And because every action appears in dynamically generated on-screen widgets, customers can control the app with voice and see exactly what's been changed.