Intelligence designed around your business.
From voice agents to end-to-end workflow redesign, we engineer custom AI systems around your processes, customers and operational goals.
We build custom AI systems for the work unique to your business — and Ylar, an AI workforce for the work that happens every day.
Some businesses need a system built around the way they work. Others need capable digital colleagues for the work that keeps coming back. We do both.
From voice agents to end-to-end workflow redesign, we engineer custom AI systems around your processes, customers and operational goals.
Create AI employees, connect the tools they need and delegate tasks — with visibility into what they do and where you need to step in.
Imagine an appliance brand with dozens of models. A buyer lands on its website, doesn’t know which model fits and is about to leave. Here’s how a tailored website concierge could turn that moment into a qualified sales conversation.
Design a system like this ↗Example flow only. Product recommendations, live availability, calendar booking and CRM updates depend on the client’s catalogue and connected systems.
Answer, understand, route and schedule — across the moments when your team can't pick up.
Explore this solution ↗Qualify enquiries, follow up across channels and bring dormant opportunities back into view.
Explore this solution ↗Connect fragmented processes, documents and systems into a more coherent operating flow.
Explore this solution ↗Ylar gives people a way to create AI employees, assign responsibilities and put them to work across connected tools — without losing sight of what happens next.
Give an employee a role. Connect the applications it needs. Describe the outcome. Ylar is designed around work that can be assigned, executed and reviewed.


Inbox intelligence. Organizes messages, prepares replies and surfaces what needs attention.
Researches companies and prepares structured, evidence-backed prospect lists.
Supports invoice collection, validation, reconciliation and finance administration.
Monitors inventory exceptions and prepares replenishment recommendations.
Finch is based on the product workflow shown in the supplied Ylar screenshots. Other employee roles are illustrative concepts; capabilities and integrations depend on product implementation.
We believe AI should earn its place in a business. Start with the current workflow, define what better looks like, then measure the difference. Figures below are from published third-party deployments — not fynqAI customer results.
Browse all external case studies ↗See curated AI Lab offerings ↗
AM/NS India redesigned vendor invoice processing using automation and document understanding. This is an external customer result — not a fynqAI deployment.
Adjust the assumptions to explore a scenario for your business. This is a planning model, not a performance promise.
Map how the work happens today. Understand time, cost, handoffs, exceptions and where opportunities are being missed.
Choose the right mix of AI, automation, integrations and human review. Build around the process, not the hype.
Agree on a baseline, run a controlled pilot, measure the change and decide what deserves to scale.
Tell us where the process slows down. We'll help you explore whether a custom AI system or an AI workforce is the right next step.