Smart Call Routing
Route customers by intent, history, language preference, and urgency so the right support path is used from the first interaction.
Built in Bangladesh for Bangla conversations
We build Bangla-first AI for real customer service.
Speaklar was created to make support feel natural, useful, and culturally relevant. We combine Bangla speech recognition, text to speech, conversational AI, and call center workflows so businesses can serve customers in the language they actually use.
Bangla voice intelligence
Listening, understanding, and responding with local context.
What Makes Us Different
AI that understands support, speech, and Bangla nuance.
Our systems are built for practical business workflows: inbound calls, outbound campaigns, chat automation, human handoff, and support analytics.
Effortless Outbound
Automate reminders, surveys, confirmations, collections, and follow-up calls while preserving a clean path to human agents.
Conversational AI
Handle voice and chat conversations across Bangla and English with business rules, knowledge base grounding, and escalation controls.
Why Speaklar
Built for Bangladesh businesses first.
Bangladesh is not a backdrop in our story. It is the operating system we design for: language, accents, service pressure, phone habits, trust, and the reality of business support.
Most AI support tools arrive in Bangladesh as imported software with a local sales page. They may understand clean English chat, but Bangladeshi customers do not always speak in clean scripts. They switch between Bangla, Banglish, English, regional wording, incomplete sentences, urgency, emotion, and phone noise.
Speaklar starts from those local conditions. We build around Bangla speech, Bangladeshi business workflows, human handoff, call center operations, and the channels companies actually use: phone, Messenger, WhatsApp, website chat, CRM, and support teams.
We do not want AI that only sounds impressive in a demo. We want AI that can answer a real customer, confirm an order, collect a complaint, book an appointment, run a reminder call, escalate safely, and help a business serve more people without losing its human judgment.
Mission
Make Bangla-first AI customer support practical, affordable, and reliable for Bangladesh businesses, from SMEs to large service operations.
Vision
A future where every Bangladeshi customer can get fast, clear, respectful service in the language and channel they naturally use.
Belief
The best AI for Bangladesh will not be copied from another market. It will be trained by local problems, local voices, and real business outcomes.
Founder Credibility
Speaklar continues Munzur ul Mamun's long work in Bangla technology.
Speaklar is led by Munzur ul Mamun, whose work in Bangla digital learning, accessibility, and language technology has been covered by Bangladeshi media. The same thread runs through Speaklar today: build technology that respects local language, local users, and real access problems.
Before AI voice agents became a business category, this work already included Bangla alphabet learning, digital Braille, English speaking practice, and practical tools for people who need technology to meet them in their own language.
Media covered
Bangla language technology
Accessibility work
Voice-first learning
Founder video coverage connected to Munzur ul Mamun's language technology journey.
Watch on YouTube