On February 16, 2026, TITAS GAS TRANSMISSION & DISTRIBUTION PLC (TGTDPLC), a government sector organization in Bangladesh, issued a tender for the "Hiring of Call Center Service (Agent & Software)" . The requirements are specific and demanding:
This is not a tender for a simple phone system. It's for a comprehensive, AI‑ready call center that can serve millions of gas customers across Bangladesh. Speaklar is uniquely positioned to win it.
Titas Gas is the largest natural gas distribution company in Bangladesh, serving over 3 million customers in Dhaka and surrounding areas . Their call center handles:
With millions of customers, a modern, AI‑powered call center is not a luxury — it's a necessity.
📋 Key requirement: "Own Call Center Management Software" . This means the bidder must develop and own the software, not simply resell a license from a third party. It ensures long‑term control, customization, and security.
Let's map Speaklar's capabilities to each requirement.
Speaklar, as a company, may be younger than 10 years, but our team and technology are built on decades of combined experience in:
For the tender, we can partner with a qualified BPO that meets the 10‑year criterion, while providing the AI software and expertise that Titas Gas truly needs for modernization.
Speaklar has already delivered enterprise‑scale deployments:
Our contract values meet or exceed the threshold, and we can provide documentation upon request.
This is where Speaklar excels. Unlike resellers who package third‑party APIs, Speaklar's entire stack is homegrown:
We don't license software from Google, Microsoft, or AWS. We own our code. That means Titas Gas gets full control, customization, and data sovereignty.
Speaklar is financially stable, backed by revenue from multiple enterprise deployments and public sector projects. We meet the financial criteria and can provide audited statements and bank solvency certificates as required.
Meeting the tender requirements is the baseline. Here's what makes Speaklar the best choice for Titas Gas:
🎙️ Bangla‑first voice AI: Titas Gas customers speak Bangla. Speaklar's ASR and NLP are trained on Bangladeshi speech, not adapted from English. The bot understands “গ্যাসের চাপ কম কেন?” and responds naturally.
⚡ Emergency escalation: For gas leak reports, the system can immediately recognize urgency, play safety instructions, and simultaneously alert the nearest response team — all within seconds.
📈 Bill payment integration: The voice bot can connect to Titas Gas's billing database to provide instant balance information, due dates, and even guide customers through online payment.
🔊 Outbound notifications: During maintenance or emergencies, the system can make thousands of automated calls per hour in natural Bangla: “আগামীকাল সকাল ৯টা থেকে বিকেল ৫টা পর্যন্ত গ্যাস সরবরাহ বন্ধ থাকবে।”
Speaklar's technology has already been proven in the utility sector through Taritbandhu, the hybrid AI call center for electricity customers . Key lessons from that deployment:
This exact model can be applied to Titas Gas.
Titas Gas likely has existing billing, CRM, and geographic information systems. Speaklar's API‑first design makes integration straightforward:
GET /customer/{id}/bill — returns current bill, due date, payment status.POST /complaint — logs new complaints with full details.POST /alert — notifies response team of potential gas leaks.We work with Titas Gas's IT team to ensure secure, real‑time integration.
The tender deadline is approaching. Speaklar is ready to submit a compliant, compelling proposal. Our team has experience with government procurement and can provide all required documentation:
Speaklar isn't a reseller of foreign technology. We're a Bangladeshi company built for Bangladeshi needs:
🔥 See how Speaklar can power Titas Gas's next‑gen call center
Speaklar demo →Own software. Bangla‑first AI. Ready for government tender.
🔥 তিতাস গ্যাসের গ্রাহক সেবা — এখন আরও স্মার্ট, আরও নির্ভরযোগ্য
🔍 Learn more about our public sector solutions at speaklar.com
Keywords: Titas Gas call center tender, TGTDPLC AI solution, government call center Bangladesh, utility voice bot · based on tender notice and public records