Multi-Tenant AI Voice Agent Platform

@badarmadni927

I'm Badar, and I specialize in building AI-driven platforms that align perfectly with your needs. With a deep understanding of AI, machine learning, and NLP, I'm well equipped to craft your Multi-Tenant AI Voice Agent Platform. I have hands-on experience with the tools you've mentioned (TeleCMI, Twilio, Exotel) so voice connectivity will be seamless. Not only have I built voice bots but I've also integrated CPaaS services and multi-language NLU before, and I've achieved high accuracy in intent recognition. This is complemented by my strong grasp of GraphQL and creating clean, intuitive interfaces for AI-powered apps which is critical for users to create intents/utterances and manage campaigns effectively. I recognize the urgency of this project's timeline. My approach will be to rapidly develop an MVP showcasing a demo tenant that can be created under two minutes, answering inbound calls via IVR in the correct language and placing fifty concurrent outbound calls without degradation. From there, utilizing my familiarity with Kubernetes or serverless structures, we can continuously deploy and build upon the existing model without downtime. The full production feature will be reached soon after providing you with exactly what you need to achieve customer support along with lead capturing and sales functionalities.

@chiragardeshna

Hi there, I am a strong fit for this scope because I have already built multi-tenant voice agent platforms that integrate CPaaS providers, language AI, and production-grade SaaS controls. I have hands-on experience with inbound and outbound voice bots, IVR flows, live-agent fallback, and multilingual NLU and TTS across Indian and English languages. I work with Twilio, Exotel-style CPaaS, ASR and TTS pipelines, intent classifiers, FastAPI or Node backends, Kubernetes deployments, and role-based SaaS architectures. I reduce risk by shipping an MVP tenant flow first, validating call quality and intent accuracy early, and isolating telephony, NLU, and analytics layers so scaling does not break core flows. I am available to start immediately and can move fast toward a working MVP while laying the foundation for full production rollout. Regards Chirag

@amaank66

I can build a production-grade, multi-tenant SaaS platform where each client can spin up their own AI voice agents in Malayalam, English, and Hindi for inbound support, outbound outreach, lead capture, and basic sales flows. My approach is to deliver an MVP fast using a proven CPaaS + modular AI stack: TeleCMI/Twilio/Exotel for voice connectivity, real-time ASR/TTS with language switching, and an NLU layer tuned for ≥90% intent accuracy on your supplied dataset. Core delivery includes: • Secure multi-tenant architecture with strict RBAC + tenant data isolation • Plug-and-play IVR, call routing, fallback to live agent, recording + transcripts • Visual conversation builder + intent manager for non-technical updates • Analytics dashboard (calls, sentiment, conversions, agent confidence) • Outbound campaign scheduler with retry logic + DNC compliance • REST/GraphQL APIs + webhooks for CRM/ticketing integrations • Cloud-native deployment (Kubernetes/serverless) with CI/CD for zero-downtime releases I’ve integrated voice bots with Twilio-style CPaaS, multilingual NLU pipelines, and scalable concurrent dialers, ensuring stable performance at 50+ simultaneous calls. You’ll receive full source code, documentation, and a hand-off session so your team can operate and extend the system confidently. Best regards, Amaan Khan L. (CUBEMOONS PVT.)

@jagratip3

Hello, this is a serious voice-first SaaS platform, and I’ve worked on systems very close to what you’re describing: multi-tenant AI voice agents integrated with CPaaS providers and multilingual NLU pipelines. I can design and deliver a production-ready, multi-tenant architecture where each client spins up isolated AI voice agents with role-based access, clean data separation, and fast provisioning (sub-2-minute tenant creation). Voice connectivity with TeleCMI, Twilio, or Exotel will be plug-and-play, supporting inbound IVR, outbound campaigns, call recording, live-agent fallback, and confidence-based escalation. On the AI side, I’ve integrated ASR, NLU, and TTS stacks for Indian languages (including Malayalam and Hindi) alongside English, with mid-call language switching and intent confidence scoring. I focus on intent accuracy using curated utterance sets, fallback flows, and continuous tuning—hitting 90%+ accuracy on controlled test sets is realistic. The MVP would include a visual conversation builder, intent manager, real-time dashboards (calls, transcripts, sentiment), outbound campaign scheduler with retry/DNC logic, and REST/webhook APIs for CRM or ticketing integration. Infrastructure will be cloud-native (Kubernetes or serverless), with CI/CD for zero-downtime releases. If speed to MVP and a clear path to scale matter, I’m ready to start immediately.

@mayankinnovative

Dear Hiring Manager, Thank you for outlining such a detailed and technically rich requirement. The scope aligns strongly with my experience in building production-grade SaaS platforms, AI voice agents, and CPaaS integrations. I can deliver a secure, scalable system that enables each client to quickly deploy multilingual AI voice agents with enterprise reliability. ➡ Multi-tenant SaaS architecture with strict data isolation and role-based access for admins, managers, and agents ➡ AI voice agents supporting Malayalam, English, and Hindi with dynamic mid-call language switching ➡ Inbound and outbound calling with plug-and-play integration for TeleCMI, Twilio, Exotel, or equivalent CPaaS providers ➡ Full IVR support, branching call flows, call recording, live-agent fallback based on confidence thresholds ➡ Visual conversation builder, intent and utterance management, and real-time analytics for calls, transcripts, sentiment, and conversions ➡ NLU, ASR, and TTS pipelines tuned to achieve high intent accuracy across all three languages ➡ Outbound campaign manager with scheduling, retry logic, concurrency handling, and DNC compliance ➡ REST and GraphQL APIs with webhooks for seamless CRM, ticketing, and automation tool integrations ➡ Cloud-native deployment using Kubernetes or serverless patterns with CI/CD for zero-downtime releases ➡ Clean, well-documented source code, deployment guides, and a structured hand-off session Best Regards, Mayank Saluja

@ixorawebmob

Hello, I’ve gone through your project details and this is something I can definitely help you with. I have 10+ years of experience in mobile and web app development, and with my expertise in AI voice agents, I understand the unique challenges of a multi-tenant SaaS platform like yours. My focus is on delivering production-ready solutions that are scalable and secure. I have built similar platforms that integrate voice bots and CPaaS services, ensuring dynamic language support and real-time analytics. I prioritize clean architecture and seamless communication to deliver a high-performance product. We’ll implement a robust multi-tenant architecture, ensuring secure data handling for each client, along with features like IVR support, NLU/ASR/TTS tuned for your required languages, and a powerful analytics dashboard. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to understand more details to ensure the best approach. Could you clarify your preferred cloud platform for deployment, or do you have a specific provider in mind? Let’s discuss over chat! Regards, Arpit

@daironjanl

With over a decade of experience under my belt, I have cultivated an in-depth understanding of backend architecture and API development, the very core of what your project entails. My extensive knowledge in Python, Go, Node.js, Java, and ASP.NET grants me the versatility to adapt to any technological need your Multi-Tenant AI Voice Agent Platform may possess. My proficiency with RESTful and event-driven services also aligns seamlessly with your project's requirement for REST/GraphQL APIs and webhooks, ensuring smooth CRMs or ticketing tools functionality. Having created data pipelines for AI annotation workflows and dataset preparation in the past, I am well-versed in dealing with linguistic natural processing and speech-to-text challenges - skills your project emphatically demands. Moreover, my backup-rich experience with AWS and Azure means that I can skillfully navigate deployment hiccups if any arises during this project. In summary, you can count on me to ensure the rapid development of a production-ready SaaS that fulfills every criterion of your project description. I anticipate not only meeting but exceeding all expectations by delivering efficient multi-tenancy with role-based access control, top-tier NLU performance in Malayalam, English, and Hindi languages among others so that Voice agents capture leads with exceptional accuracy. Let's swiftly turn your vision into reality

@natalief75

Grateful for the opportunity. Let’s make this project a success. I can get you to a working MVP fast: tenant creation in minutes, inbound calls answered in the right language with IVR routing, and outbound campaigns running at scale. From there, I’ll extend it into a full production SaaS with analytics, CRM integrations, and high-accuracy multilingual NLU. I’ve built and integrated voice bots, telephony APIs, and multi-tenant AI platforms before, so execution risk stays low.

@targaryen007

Hello, You need a production-ready, multi-tenant SaaS platform where clients can launch AI voice agents (Malayalam, English, Hindi) for inbound support, outbound campaigns, and basic sales—integrated with TeleCMI, Twilio, Exotel, etc. **Architecture Plan** • Multi-tenant backend with strict data isolation and RBAC • Kubernetes-based deployment with CI/CD for zero-downtime releases • CPaaS integration layer (plug-and-play telephony providers) • IVR engine with dynamic routing, call recording, and live-agent fallback • ASR + NLU + TTS pipeline with language detection and mid-call switching **Core Modules** • Visual conversation builder + intent manager • Analytics dashboard (logs, transcripts, sentiment, conversions) • REST/GraphQL APIs and webhooks for CRM integrations • Outbound campaign scheduler (DNC compliance, retry logic, concurrency handling up to 50 calls) **Execution Plan** Phase 1: Telephony integration + multilingual voice bot + basic dashboard Phase 2: Campaign engine + analytics + scaling Phase 3: Production hardening, monitoring, documentation, handoff I’ve built scalable AI systems with real-time inference, API-first architecture, and cloud-native deployments. My focus is performance, maintainability, and fast MVP rollout with smooth expansion to full SaaS. Happy to discuss stack and timelines.

@MuhammadAsad108

✔ I deliver production-ready AI systems Workflow Diagram Tenant Provisioning ⟶⟶ Role-Based Access Setup ⟶⟶ TeleCMI / Twilio / Exotel Number Binding ⟶⟶ ASR + NLU Language Models Initialization ⟶⟶ IVR & Conversation Flow Design ⟶⟶ Intent & Utterance Training ⟶⟶ Inbound Call Handling ⟶⟶ Outbound Campaign Scheduler ⟶⟶ Live Confidence Monitoring ⟶⟶ Analytics & Sentiment Dashboard Key Highlights ✔ True multi-tenant SaaS architecture — strict tenant isolation at data, API, and storage levels with role-based access control. ✔ Multi-language voice intelligence — Malayalam, English, and Hindi ASR + NLU with mid-call language switching based on intent or caller input. ✔ Plug-and-play CPaaS integration — TeleCMI, Twilio, Exotel, or equivalent providers via abstraction layer (swap providers without refactoring core logic). ✔ Full IVR + smart routing — menu-based and intent-based IVR, skill routing, time-based routing, and priority queues. ✔ Confidence-aware escalation — automatic fallback to live agents when ASR/NLU confidence drops below threshold. ✔ Visual conversation builder — no-code flow editor with branching logic, retries, variables, and API calls. ✔ Outbound campaign engine — concurrent dialing, retry rules, DNC compliance, throttling, and campaign analytics. ✔ Real-time insights — dashboards for call logs, transcripts, sentiment scores, intent success rate, and conversions. Best Regards, Asad AI Voice Systems Architect | CPaaS Integrations | Multi-Tenant SaaS Developer

@aliyanali786

Hello, do you want retries and DNC compliance to be fully automated, or should there be manual overrides too? Also, for the live agent fallback, do you already have an agent platform, or should I integrate one from scratch? I would love to design and build your multi-tenant SaaS platform for AI voice agents in Malayalam, English, and Hindi. I will handle this by creating a plug-and-play telephony system using Twilio/Exotel/TeleCMI, ensuring dynamic IVR, call recording, and fallback to live agents. I will also implement a visual conversation builder, multi-language NLU/TTS, campaign scheduler, and real-time dashboards so each tenant can manage calls and leads easily. I recommend adding an optional voice personalization feature for each tenant; it makes calls more natural and improves engagement, which will make your platform stand out. Fully multi-language AI voice agents ready for inbound/outbound calls Visual conversation builder and analytics dashboard Telephony integration with IVR, call recording, and live agent fallback Campaign scheduler with DNC and retry logic Source code, documentation, and hand-off session Best regards, Aliyan K.

@preetjangra1

Hey, do not judge my experience with new profile that i have in the freelancer platform as i just joined it, but i am very experienced in the AI voice, and related field. so lets connect and work on this project.

@jaswantp0

Hello, I'm a Senior AI/ML Engineer with proven experience building production multi-tenant voice AI platforms for customer support and sales. I've integrated Twilio/Exotel CPaaS with multilingual NLU/ASR/TTS (ElevenLabs, Deepgram) across English, Hindi, and regional languages, achieving 92%+ intent accuracy. Past Work Highlights: Delivered SaaS voice platform for 50+ tenants: multi-tenant auth (Auth0), Kubernetes (EKS), conversation builder (React Flow), real-time dashboards (sentiment, transcripts via WebSocket). Built IVR/outbound dialer handling 100 concurrent calls; integrated CRM webhooks (HubSpot, Zoho) and DNC compliance. Tuned multilingual pipelines (Hindi/Malayalam/English) with Rasa + custom LLMs; fallback to live agents on low confidence. MVP Plan (4 weeks): Week 1: Multi-tenant backend (FastAPI, Postgres schema-per-tenant), TeleCMI/Twilio integration, basic NLU/TTS. Week 2: Visual builder + IVR flows, outbound scheduler (Celery), call recording. Week 3: Dashboards (Grafana/Metabase), APIs/webhooks, language switching. Week 4: K8s deploy (CI/CD GitHub Actions), load testing (50 concurrent), hand-off. Production Expansion (Phase 2): Advanced analytics, lead capture/sales flows, auto-scaling. 90%+ accuracy guaranteed on your test set. Can demo live voice SaaS platform. Available ASAP—milestone pricing. Let's schedule a quick call to review requirements!

@valentinag742

que presente mis productos o servicios y resalte su precio competitivo de forma irresistible para un público joven. El texto debe ser fresco, dinámico y cercano, evitando tecnicismos y manteniendo un tono que invite a la acción. Necesito que incluya referencias claras al ahorro y beneficios económicos sin sonar comercial en exceso. Valoro la precisión en el conteo —ni una palabra más ni una menos— y una lectura fluida que enganche desde la primera frase. El entregable final será un archivo .docx o enlace de Google Docs listo para copiar y publicar.

@fedponom

This is not just a voice bot — it’s a production-grade, multi-tenant AI voice platform with CPaaS integration and real business workflows (support, lead capture, outbound campaigns). I understand your requirements: multi-tenant RBAC, inbound/outbound calling via Twilio/TeleCMI/Exotel, IVR, call routing, recordings, live-agent fallback, analytics, and APIs for CRM integration. I’ve built AI assistants and voice pipelines (ASR/TTS, intent detection, streaming responses), multi-tenant SaaS backends, and automation systems with real-time dashboards and webhooks. I focus on reliable, scalable architecture — not demos. MVP delivery plan: • Multi-tenant core with RBAC and tenant isolation • CPaaS integration (Twilio/TeleCMI) for inbound calls + IVR • ASR/NLU/TTS pipeline (English first, with extension path for Malayalam & Hindi) • Call routing + fallback to human agent • Call logs, transcripts, basic analytics dashboard • REST/Webhooks for CRM integration Architecture will be cloud-native (Docker/K8s or serverless), CI/CD-ready, so outbound campaigns, multilingual tuning, sentiment, and sales flows can be added without refactoring the core. I can deliver a working MVP fast and then scale it to full production.